RIPK1 regulates cell death and inflammation and has been implicated in the pathogenesis of inflammatory diseases. RIPK1 autophosphorylation promotes cell death induction; however, the underlying mechanisms and the role of specific autophosphorylation sites remain elusive. Using knock-in mouse models, here we show that S161 autophosphorylation has a critical physiological function in RIPK1-mediated cell death and inflammation. S161N substitution partially suppressed RIPK1-mediated catalytic activity and cell death induction but was sufficient to prevent skin inflammation induced by keratinocyte necroptosis or apoptosis in relevant mouse models. Combined S161N and S166A mutations synergized to prevent RIPK1-mediated cell death more efficiently than the single site mutations, revealing functional redundancy. Moreover, phosphomimetic S161E mutation could overcome the necroptosis-inhibitory effect of S166A mutation, revealing that S161 phosphorylation is sufficient for necroptosis induction. Collectively, a functional interplay of S161 and S166 phosphorylation events regulates RIPK1-dependent cell death and inflammation.

Receptor-interacting protein kinase 1 (RIPK1) is a critical regulator of cell death and inflammation and is implicated in the pathogenesis of several diseases (Li and Yuan, 2023; Newton, 2020; Varfolomeev and Vucic, 2022). RIPK1 signals downstream of multiple innate immune receptors, including tumor necrosis factor receptor 1 (TNFR1), Toll-like receptor 3 (TLR3), and TLR4, where it induces pro-survival, pro-inflammatory, as well as cell death responses (Li and Yuan, 2023; Newton, 2020; Varfolomeev and Vucic, 2022). RIPK1 acts as a scaffold to induce pro-survival and pro-inflammatory signaling, a function that is critical for mouse development and tissue homeostasis (Dannappel et al., 2014; Dillon et al., 2014; Imai et al., 2024; Kaiser et al., 2014; Kelliher et al., 1998; Lin et al., 2016; Newton et al., 2016b; Rickard et al., 2014b; Takahashi et al., 2014). In contrast, RIPK1 kinase activity induces cell death by activating either caspase-8–dependent apoptosis or RIPK3-mixed lineage kinase like (MLKL)-dependent necroptosis (Kondylis and Pasparakis, 2019; Li and Yuan, 2023; Newton, 2020; Pasparakis and Vandenabeele, 2015; Varfolomeev and Vucic, 2022). The kinase activity of RIPK1 is tightly controlled and several kinases, including inhibitor of NF-κB kinases (IKKs), MAPK 2 (MK2), transforming growth factor β-activating kinase 1 (TAK1), as well as TANK-binding kinase 1 (TBK1) and IKKε, were reported to phosphorylate RIPK1 to suppress its kinase activity and therefore cell death signaling (Dondelinger et al., 2019; Dondelinger et al., 2017; Dondelinger et al., 2015; Eren et al., 2024; Geng et al., 2017; Jaco et al., 2017; Lafont et al., 2018; Menon et al., 2017; Xu et al., 2018). Multiple studies using genetic or pharmacological approaches have identified RIPK1 kinase activity–dependent cell death as a potent trigger of inflammation in different tissues (Berger et al., 2014; Duprez et al., 2011; Eren et al., 2024; Kondylis et al., 2015; Kumari et al., 2021; Polykratis et al., 2019; Schunke et al., 2021; Schwarzer et al., 2020; Vlantis et al., 2016). Furthermore, RIPK1 kinase activity emerged as a driver of ischemic injury (Chen et al., 2018; Naito et al., 2020; Newton et al., 2016a) as well as neurodegenerative diseases such as multiple sclerosis (Ofengeim et al., 2015), amyotrophic lateral sclerosis (Xu et al., 2018), and Alzheimer’s disease (Ofengeim et al., 2017). These studies prompted the development and clinical testing of RIPK1 kinase inhibitors (Clot et al., 2024; Hamilton et al., 2019; Harris et al., 2017; Harris et al., 2019; Hincelin-Mery et al., 2024; Jones et al., 2023; Lickliter et al., 2023; Ludbrook et al., 2024; Patel et al., 2020; Sheridan, 2019; Sun et al., 2024; Vissers et al., 2022; Weisel et al., 2020; Weisel et al., 2021a; Weisel et al., 2021b; Weisel et al., 2017).

The role of RIPK1 kinase activity in inducing cell death and inflammatory pathologies is well established; however, the mechanisms by which RIPK1 catalytic activity induces downstream signaling remain poorly understood. While RIPK1 was initially proposed to phosphorylate other substrates such as DRP1 (Wang et al., 2014), autophosphorylation is currently considered the main and critical function of RIPK1 kinase activity. Autophosphorylation is a common mechanism of autoactivation in eukaryotic protein kinases, which leads to the stabilization of a specific protein conformation, allowing for efficient catalysis (Beenstock et al., 2016). The currently prevailing model is that autophosphorylation induces conformational changes in RIPK1 that allow its association with cell death effectors including Fas-associated with death domain (FADD) and receptor-interacting protein kinase 3 (RIPK3), facilitating the formation of cell death–inducing signaling complexes causing apoptosis or necroptosis (Wegner et al., 2017). In support of this hypothesis, RIPK1 autophosphorylation was shown to promote the ordered assembly of RIPK1 homo-oligomers as a prerequisite for RIPK3 oligomerization and necrosome formation (Chen et al., 2022). RIPK1 was reported to autophosphorylate on multiple sites in the kinase domain, including S14/15, S20, S161, and S166 in humans (Degterev et al., 2008) and S14/15, S161, S166, and T169 in mice (Berger et al., 2014; Dondelinger et al., 2019; Laurien et al., 2020; Ofengeim et al., 2015). Of note, S161, S166, and T169 are located in the RIPK1 activation loop, a functionally important element for kinase activation. Several studies have used in vitro cellular systems to address the importance of different autophosphorylation sites for RIPK1-mediated cell death. A phosphomimetic S161E mutation was reported to overcome the kinase-inactivating K45A mutation in induction of cell death, suggesting that S161 is the crucial site that transmits the lethal stimulus (Zhang et al., 2017). Furthermore, an S161N mutation disrupted the formation of ordered RIPK1 oligomers required for necrosome formation (Chen et al., 2022). However, other studies assigned less functional importance to this site (Degterev et al., 2008), the function of which has not been validated in vivo. On the other hand, autophosphorylation at S166 is used as a standard biomarker for RIPK1 activation facilitated by the development of specific antibodies (Berger et al., 2014; Dondelinger et al., 2017; Newton et al., 2016a; Patel et al., 2020). We have previously reported that RIPK1 autophosphorylation at S166 is critical for RIPK1 kinase–dependent cell death and inflammation (Laurien et al., 2020). However, S166A mutation was not sufficient to fully prevent RIPK1-mediated necroptosis and apoptosis in vitro, suggesting that other autophosphorylation events also contribute to RIPK1 activation (Laurien et al., 2020).

Here we addressed the physiological role of autophosphorylation at S161 alone or in combination with S166 in the regulation of RIPK1-mediated cell death and inflammation using knock-in mice expressing RIPK1 with respective mutations. Our results revealed that S161 and S166 exhibit partially redundant functions in regulating RIPK1 kinase activation and cell death induction. Furthermore, we found that phosphomimetic S161E mutation could partially overcome the protective effect of S166A and specifically sensitized cells to necroptosis. Thus, autophosphorylation events at S161 and S166 cooperate to regulate RIPK1-mediated cell death and inflammation in vitro and in vivo.

S161N, but not S161A, mutation prevents RIPK1 kinase activity–dependent necroptosis and inflammation

Previous studies based on cellular overexpression systems suggested a functional role of S161 phosphorylation in RIPK1-mediated cell death (Zhang et al., 2017). To study the role of autophosphorylation at S161 in a physiological setting, we employed CRISPR-Cas9–mediated gene targeting to generate knock-in mice expressing RIPK1 with a non-phosphorylatable amino acid replacement at this site (Fig. S1, A–C). Of note, serine at position 161 was suggested to maintain the closed conformation of the RIPK1 activation loop in the inactive kinase via hydrogen bond formation with D156 (Zhang et al., 2017). In previous studies, S161 was replaced by either alanine (S161A) or asparagine (S161N), which differ in their capability to form hydrogen bonds. Specifically, substitution of S161 with alanine is predicted to weaken the hydrogen bond with D156, thus favoring an open conformation of RIPK1, while replacement of S161 with asparagine should retain the hydrogen bonds with D156, maintaining the closed conformation. Thus, to comprehensively study the role of this site, we used both approaches side by side and generated Ripk1S161A/S161A and Ripk1S161N/S161N mice (Fig. S1, A–C). These mice were born at the expected Mendelian ratios and reached adulthood without exhibiting apparent abnormalities (data not shown). To address the role of S161 autophosphorylation in RIPK1 kinase activity–dependent necroptosis, we assessed cell death in bone marrow–derived macrophages (BMDMs) from Ripk1S161A/S161A and Ripk1S161N/S161N mice after stimulation with TNF in combination with the SMAC mimetic compound birinapant and the caspase inhibitor Emricasan (TSE). As shown in Fig. 1 A, BMDMs from Ripk1S161A/S161A mice showed similar cell death kinetics compared to WT BMDMs, demonstrating that the S161A substitution did not prevent RIPK1 kinase–dependent necroptosis. In contrast, Ripk1S161N/S161N BMDMs were protected from TSE-induced cell death, although this protection was not as complete as that observed in Ripk1D138N/D138N BMDMs, which express kinase-inactive RIPK1 (Polykratis et al., 2014) (Fig. 1 A). Assessment of cell death following stimulation with LPS in combination with Emricasan showed comparable results, with Ripk1S161A/S161A BMDMs displaying cell death kinetics similar to WT cells, whereas Ripk1S161N/S161N BMDMs exhibited partial protection (Fig. 1 A). In line with the cell death assay results, the S161N mutation suppressed TSE-induced MLKL phosphorylation, while the S161A mutation did not (Fig. 1 B). To assess how the S161 mutations affected RIPK1 autophosphorylation at S166, we immunoblotted with antibodies recognizing specifically phosphorylated S166. RIPK1 phosphorylation at S166 was not suppressed in TSE-stimulated Ripk1S161A/S161A BMDMs, while it was strongly, but not completely, inhibited in Ripk1S161N/S161N cells (Fig. 1 B). Together, these findings showed that S161N, but not S161A, substitution partially inhibited RIPK1 autophosphorylation on S166 and RIPK1 kinase–dependent necroptosis.

+ Expand view − Collapse view
Figure S1.

Generation of RIPK1 autophosphorylation site mutant mice. (A) The residues S161 and S166 in exon 5 of the Ripk1 gene were altered from serine to alanine (S161A), from serine to asparagine (S161N), and from serine to glutamic acid (S161E) using CRISPR/Cas9 technology. Oocytes fertilized with sperm of Ripk1S166A/S166A males or WT mice were electroporated with knock-in oligos and Cas9 protein for the respective mouse lines. The sequences for all knock-in oligos can be found in the Materials and methods section. (B) DNA sequence alignment (5′-3′) of the region surrounding the mutation site in WT and Ripk1S161A/S161A mice. Amino acids by triplet code are shown. The mutation is marked in red. (C) DNA sequence alignment (5′-3′) of the region surrounding the mutation site in WT and Ripk1S161N/S161N mice. Amino acids by triplet code are shown. The mutation is marked in red. (D) DNA sequence alignment (5′-3′) of the region surrounding the mutation site in WT and Ripk1S161N_S166A/S161N_S166A mice. Amino acids by triplet code are shown. The mutations are marked in red. (E) DNA sequence alignment (5′-3′) of the region surrounding the mutation site in WT and Ripk1S161A_S166A/S161A_S166A mice. Amino acids by triplet code are shown. The mutations are marked in red. (F) DNA sequence alignment (5′-3′) of the region surrounding the mutation site in WT and Ripk1S161E_S166A/S161E_S166A mice. Amino acids by triplet code are shown. The mutations are marked in red.

Figure S1.

Generation of RIPK1 autophosphorylation site mutant mice. (A) The residues S161 and S166 in exon 5 of the Ripk1 gene were altered from serine to alanine (S161A), from serine to asparagine (S161N), and from serine to glutamic acid (S161E) using CRISPR/Cas9 technology. Oocytes fertilized with sperm of Ripk1S166A/S166A males or WT mice were electroporated with knock-in oligos and Cas9 protein for the respective mouse lines. The sequences for all knock-in oligos can be found in the Materials and methods section. (B) DNA sequence alignment (5′-3′) of the region surrounding the mutation site in WT and Ripk1S161A/S161A mice. Amino acids by triplet code are shown. The mutation is marked in red. (C) DNA sequence alignment (5′-3′) of the region surrounding the mutation site in WT and Ripk1S161N/S161N mice. Amino acids by triplet code are shown. The mutation is marked in red. (D) DNA sequence alignment (5′-3′) of the region surrounding the mutation site in WT and Ripk1S161N_S166A/S161N_S166A mice. Amino acids by triplet code are shown. The mutations are marked in red. (E) DNA sequence alignment (5′-3′) of the region surrounding the mutation site in WT and Ripk1S161A_S166A/S161A_S166A mice. Amino acids by triplet code are shown. The mutations are marked in red. (F) DNA sequence alignment (5′-3′) of the region surrounding the mutation site in WT and Ripk1S161E_S166A/S161E_S166A mice. Amino acids by triplet code are shown. The mutations are marked in red.

Close modal
Figure 1.

Autophosphorylation at S161 drives RIPK1 kinase activity–dependent necroptosis. (A) Graphs depicting quantification of cell death in BMDMs from mice of the indicated genotypes treated with combinations of Emricasan (E, 5 µM), the SMAC mimetic compound birinapant (S, 1 µM), TNF (T, 20 ng/ml), and LPS (L, 100 ng/ml). Graphs show mean ± SEM from at least four independent experiments. (B) Immunoblots of BMDMs from mice of the indicated genotypes stimulated with TSE for 0, 2, or 4 h. Representative of three independent experiments. (C) Representative photographs of control (n = 8), IKK2E-KO (n = 7), IKK2E-KORipk1S161A/S161A (n = 5), and IKK2E-KORipk1S161N/S161N (n = 5) mice. (D) Kaplan–Meier survival curve of mice with the indicated genotypes. (E) Representative images of sections from back skin of mice with the indicated genotypes stained with H&E or immunostained for K6 (scale bars = 100 µm; control n = 7, IKK2E-KOn = 7, IKK2E-KORipk1S161A/S161An = 4, and IKK2E-KORipk1S161N/S161Nn = 4). (F) Graph depicting epidermal thickness of mice with the indicated genotypes. Each dot represents one mouse. Mean ± SEM are shown. Statistical significance was determined using Kruskal–Wallis test. (G) Graphs depicting relative mRNA expression of the indicated cytokines in RNA from whole-skin tissue of mice of the indicated genotypes measured by qRT-PCR. Each dot represents one mouse. Mean ± SEM are shown. Statistical significance was determined using Kruskal–Wallis test. Control mice include Ikk2FL/FLK14CreWT/WT or Ikk2FL/WTK14CreTg/WT littermates with WT or mutant Ripk1 alleles. Source data are available for this figure: SourceData F1.

Figure 1.

Autophosphorylation at S161 drives RIPK1 kinase activity–dependent necroptosis. (A) Graphs depicting quantification of cell death in BMDMs from mice of the indicated genotypes treated with combinations of Emricasan (E, 5 µM), the SMAC mimetic compound birinapant (S, 1 µM), TNF (T, 20 ng/ml), and LPS (L, 100 ng/ml). Graphs show mean ± SEM from at least four independent experiments. (B) Immunoblots of BMDMs from mice of the indicated genotypes stimulated with TSE for 0, 2, or 4 h. Representative of three independent experiments. (C) Representative photographs of control (n = 8), IKK2E-KO (n = 7), IKK2E-KORipk1S161A/S161A (n = 5), and IKK2E-KORipk1S161N/S161N (n = 5) mice. (D) Kaplan–Meier survival curve of mice with the indicated genotypes. (E) Representative images of sections from back skin of mice with the indicated genotypes stained with H&E or immunostained for K6 (scale bars = 100 µm; control n = 7, IKK2E-KOn = 7, IKK2E-KORipk1S161A/S161An = 4, and IKK2E-KORipk1S161N/S161Nn = 4). (F) Graph depicting epidermal thickness of mice with the indicated genotypes. Each dot represents one mouse. Mean ± SEM are shown. Statistical significance was determined using Kruskal–Wallis test. (G) Graphs depicting relative mRNA expression of the indicated cytokines in RNA from whole-skin tissue of mice of the indicated genotypes measured by qRT-PCR. Each dot represents one mouse. Mean ± SEM are shown. Statistical significance was determined using Kruskal–Wallis test. Control mice include Ikk2FL/FLK14CreWT/WT or Ikk2FL/WTK14CreTg/WT littermates with WT or mutant Ripk1 alleles. Source data are available for this figure: SourceData F1.

Close modal

To assess how the S161A and S161N substitutions affected RIPK1 kinase–dependent necroptosis and inflammation in vivo, we employed mice that lack IKK2/IKKβ specifically in epidermal keratinocytes (IKK2E-KO) and develop severe skin inflammation due to TNFR1-RIPK1–mediated keratinocyte necroptosis (Kumari et al., 2013; Kumari et al., 2021; Pasparakis et al., 2002). IKK2E-KO mice develop skin lesions during the first week of life that progress in severity, reaching the ethical endpoint by postnatal day 8 (P8), when they display macroscopically scaly rigid skin (Fig. 1, C and D). Our previous genetic studies revealed that skin inflammation in IKK2E-KO mice is mainly driven by RIPK3-MLKL–mediated keratinocyte necroptosis and, to a lesser extent, by FADD–caspase-8–dependent cell death (Kumari et al., 2021). IKK2E-KORipk1S161A/S161A mice developed skin lesions with similar kinetics compared to IKK2E-KO pups (Fig. 1, C and D). In contrast, IKK2E-KORipk1S161N/S161N mice did not show skin alterations at P8 and remained free of skin lesions until at least 25 wk of age (Fig. 1, C and D). Histological analysis revealed epidermal thickening with increased cellularity in the dermis and upregulation of keratin 6 (K6) expression in the skin of IKK2E-KO and IKK2E-KORipk1S161A/S161A mice at P8, whereas IKK2E-KORipk1S161N/S161N mice showed normal skin histology at this stage (Fig. 1, E and F). Moreover, IKK2E-KO and IKK2E-KORipk1S161A/S161A mice showed upregulation of Ccl3 and Ccl4 in the skin, which was suppressed in IKK2E-KORipk1S161N/S161N mice (Fig. 1 G). Therefore, consistent with our cell culture experiments, S161N, but not S161A substitution prevented RIPK1 kinase activity–dependent keratinocyte necroptosis and skin inflammation in vivo in IKK2E-KO mice. These findings revealed a critical role of S161 in the regulation of RIPK1-mediated necroptosis. Abolishing phosphorylation on this site by S161N substitution strongly suppressed necroptosis in vivo and in vitro. Our finding that S161A substitution did not inhibit RIPK1-mediated necroptosis is in agreement with the previously suggested role of S161 in maintaining the closed conformation of RIPK1 by forming hydrogen bonds with D156, which are weakened by S161A substitution, resulting in a more open RIPK1 conformation even in the absence of phosphorylation on this site (Zhang et al., 2017).

S161N, but not S161A, mutation prevents RIPK1 kinase activity–dependent apoptosis and inflammation

To assess how S161A and S161N substitutions affected RIPK1 kinase activity–dependent apoptosis, we treated BMDMs with the TAK1 inhibitor 5Z-7 oxozeaenol (TAK1i) (Wu et al., 2013). Treatment with TAK1i induced cell death in BMDMs that was dependent on endogenous TNF and TNFR1 signaling and on caspase-8, but occurred independently of MLKL and caspase-1 and was only slightly delayed in cells lacking gasdermin D (GSDMD) and gasdermin E (GSDME), demonstrating that BMDMs undergo apoptosis under these conditions (Figs. S2 and S3). In response to TAK1i treatment, Ripk1S161A/S161A BMDMs underwent rapid cell death, whereas Ripk1D138N/D138N cells were protected, showing that the S161A mutation did not hinder RIPK1 kinase–dependent apoptosis (Fig. 2 A). Under the same conditions, Ripk1S161N/S161N BMDMs showed considerably slower cell death kinetics and were partially protected from TAK1i-induced cell death compared with WT cells (Fig. 2 A). However, stimulation with TNF in the presence of different concentrations of cycloheximide (CHX), which triggers RIPK1-independent apoptosis, induced similar cell death responses in WT, Ripk1S161A/S161A, Ripk1S161N/S161N, and Ripk1D138N/D138N BMDMs (Fig. S2 D). In line with the cell death assays, we detected caspase-8 and caspase-3 cleavage in WT and in Ripk1S161A/S161A BMDMs 4 and 5 h after treatment with TAK1i, whereas Ripk1S161N/S161N BMDMs did not show caspase cleavage at this time point (Fig. 2 B). Therefore, S161N, but not S161A, substitution could partially suppress RIPK1 kinase–dependent apoptosis. Moreover, we detected strong phosphorylation of RIPK1 at S166 in both WT and Ripk1S161A/S161A BMDMs, but not in Ripk1S161N/S161N cells (Fig. 2 B). Interestingly, S166 phosphorylation was mostly detected at a molecular weight corresponding to the N-terminal cleaved fragment of RIPK1 (Fig. 2 B), suggesting that phosphorylated RIPK1 is rapidly cleaved by caspase-8 in TAK1i-treated BMDMs.

+ Expand view− Collapse view
Figure S2.

TAK1 inhibitor triggers caspase-8–dependent apoptosis induced by autocrine TNF-TNFR1 signaling in BMDMs. (A and B) Graphs depicting quantification of cell death in BMDMs from mice of the indicated genotypes treated with TAK1 inhibitor (TAK1i, 0.25 µM). Graphs show the mean ± SEM of at least two independent experiments. (C) Immunoblots of BMDMs from mice of the indicated genotypes either untreated (UT) or treated with TAK1i (0.25 µM) for 4 h. (D) Graph depicting quantification of cell death in BMDMs from mice of the indicated genotypes treated with a combination of TNF (T, 20 ng/ml) and the indicated amounts of CHX. Graphs show the mean ± SEM of four independent experiments. Source data are available for this figure: SourceData FS2.

Figure S2.

TAK1 inhibitor triggers caspase-8–dependent apoptosis induced by autocrine TNF-TNFR1 signaling in BMDMs. (A and B) Graphs depicting quantification of cell death in BMDMs from mice of the indicated genotypes treated with TAK1 inhibitor (TAK1i, 0.25 µM). Graphs show the mean ± SEM of at least two independent experiments. (C) Immunoblots of BMDMs from mice of the indicated genotypes either untreated (UT) or treated with TAK1i (0.25 µM) for 4 h. (D) Graph depicting quantification of cell death in BMDMs from mice of the indicated genotypes treated with a combination of TNF (T, 20 ng/ml) and the indicated amounts of CHX. Graphs show the mean ± SEM of four independent experiments. Source data are available for this figure: SourceData FS2.

Close modal
+ Expand view − Collapse view
Figure S3.

Generation of Gsdme −/− and Gsdmd −/− mice. (A and B) Schematics depicting the generation of mice that are deficient for GSDME (A) or GSDMD (B) using CRISPR-Cas9–mediated gene targeting in C57BL/6N zygotes, as indicated. To generate Gsdme−/− mice, exon 7 was targeted, resulting in a 4-bp deletion and therefore a frameshift and a premature stop codon indicated with a star (*). To generate Gsdmd−/− mice, exon 3 was targeted by two gRNAs, resulting in a 105-bp deletion and a frameshift in exon 3. The new premature stop codon is indicated with a star (*). The resulting deletions were confirmed by Sanger sequencing.

Figure S3.

Generation of Gsdme −/− and Gsdmd −/− mice. (A and B) Schematics depicting the generation of mice that are deficient for GSDME (A) or GSDMD (B) using CRISPR-Cas9–mediated gene targeting in C57BL/6N zygotes, as indicated. To generate Gsdme−/− mice, exon 7 was targeted, resulting in a 4-bp deletion and therefore a frameshift and a premature stop codon indicated with a star (*). To generate Gsdmd−/− mice, exon 3 was targeted by two gRNAs, resulting in a 105-bp deletion and a frameshift in exon 3. The new premature stop codon is indicated with a star (*). The resulting deletions were confirmed by Sanger sequencing.

Close modal
Figure 2.

Autophosphorylation at S161 drives RIPK1 kinase activity–dependent apoptosis. (A) Graph depicting quantification of cell death in BMDMs from mice of the indicated genotypes treated with TAK1 inhibitor (TAK1i, 0.25 µM). Graph shows mean ± SEM of three independent experiments. (B) Immunoblots of BMDMs from mice of the indicated genotypes stimulated with TAK1i for 0, 4, and 5 h. Representative of two independent experiments. (C) Kaplan–Meier survival curve of mice with the indicated genotypes. (D) Representative images of sections from back skin of mice with the indicated genotypes stained with H&E or immunostained for CC3 (scale bars = 100 µm; control n = 5, Sharpincpdm/cpdmn = 10, Sharpincpdm/cpdmRipk1S161A/S161An = 4, Sharpincpdm/cpdmRipk1S161N/S161Nn = 4). (E) Graph showing the average number of CC3+ cells per optical field in mice with the indicated genotypes. Mean ± SEM are shown. Each dot represents one mouse. Statistical significance was determined using Kruskal–Wallis test. (F) Graph depicting measurement of epidermal thickness of mice with the indicated genotypes. Each dot represents one mouse. (G) Graphs depicting relative mRNA expression of the indicated cytokines in RNA from whole-skin tissue of mice of the indicated genotypes measured by qRT-PCR. Each dot represents one mouse. Mean ± SEM are shown. Statistical significance was determined using Kruskal–Wallis test. Control mice include Sharpincpdm/WT or SharpinWT/WT littermates with WT or mutant Ripk1 alleles. Source data are available for this figure: SourceData F2.

Figure 2.

Autophosphorylation at S161 drives RIPK1 kinase activity–dependent apoptosis. (A) Graph depicting quantification of cell death in BMDMs from mice of the indicated genotypes treated with TAK1 inhibitor (TAK1i, 0.25 µM). Graph shows mean ± SEM of three independent experiments. (B) Immunoblots of BMDMs from mice of the indicated genotypes stimulated with TAK1i for 0, 4, and 5 h. Representative of two independent experiments. (C) Kaplan–Meier survival curve of mice with the indicated genotypes. (D) Representative images of sections from back skin of mice with the indicated genotypes stained with H&E or immunostained for CC3 (scale bars = 100 µm; control n = 5, Sharpincpdm/cpdmn = 10, Sharpincpdm/cpdmRipk1S161A/S161An = 4, Sharpincpdm/cpdmRipk1S161N/S161Nn = 4). (E) Graph showing the average number of CC3+ cells per optical field in mice with the indicated genotypes. Mean ± SEM are shown. Each dot represents one mouse. Statistical significance was determined using Kruskal–Wallis test. (F) Graph depicting measurement of epidermal thickness of mice with the indicated genotypes. Each dot represents one mouse. (G) Graphs depicting relative mRNA expression of the indicated cytokines in RNA from whole-skin tissue of mice of the indicated genotypes measured by qRT-PCR. Each dot represents one mouse. Mean ± SEM are shown. Statistical significance was determined using Kruskal–Wallis test. Control mice include Sharpincpdm/WT or SharpinWT/WT littermates with WT or mutant Ripk1 alleles. Source data are available for this figure: SourceData F2.

Close modal

To assess how S161 mutations affect RIPK1 kinase activity–dependent apoptosis and inflammation in vivo, we employed Sharpincpdm/cpdm mice that develop inflammatory skin lesions due to TNFR1-RIPK1-FADD-caspase-8–dependent keratinocyte apoptosis (Berger et al., 2014; Kumari et al., 2014; Laurien et al., 2020; Rickard et al., 2014a). Homozygous or heterozygous S161A mutation did neither prevent nor delay skin inflammation in Sharpincpdm/cpdmRipk1S161A/S161A and in Sharpincpdm/cpdmRipk1S161A/wt mice, as these animals developed skin lesions with similar kinetics compared to Sharpincpdm/cpdm mice and reached the ethical endpoint between 10–15 wk of age (Fig. 2 C). In contrast, homozygous S161N mutation strongly prevented skin lesions with three out of four animals remaining lesion-free up to the age of 50 wk, while heterozygous S161N mutation also delayed the development of skin lesions to over 20 wk for around 50% of the mice (Fig. 2 C). Of note, the effect of the S161N mutation was comparable with the strong protection observed previously in Sharpincpdm/cpdmRipk1S166A/S166A mice (Laurien et al., 2020). Histopathological analysis of skin sections from 10 to 14-wk-old mice revealed epidermal thickening and increased numbers of cleaved caspase-3 positive (CC3+) cells in Sharpincpdm/cpdm mice, which were not inhibited by the S161A mutation in Sharpincpdm/cpdmRipk1S161A/S161A mice (Fig. 2, D–F), consistent with the macroscopic assessment. In contrast, three out of four Sharpincpdm/cpdmRipk1S161N/S161N mice showed normal skin histology and absence of CC3+ cells similarly to WT control animals even at 50 wk of age (Fig. 2 F and data not shown). Furthermore, increased mRNA expression of Tnf, Il1b, and Ccl3 was detected in the skin of Sharpincpdm/cpdm and Sharpincpdm/cpdmRipk1S161A/S161A animals, which was suppressed in Sharpincpdm/cpdmRipk1S161N/S161N mice (Fig. 2 G). Therefore, S161N, but not S161A, substitution strongly prevented RIPK1 kinase–dependent keratinocyte apoptosis and skin inflammation in Sharpincpdm/cpdm mice. Taken together, these results revealed that phosphorylation at S161 is critical to license RIPK1-mediated apoptosis and further supported that S161A substitution promotes an open conformation, negating the need for S161 phosphorylation for RIPK1 activation.

Autophosphorylation at S161 and S166 cooperate to induce RIPK1 kinase activity–dependent cell death in a partially redundant manner

Our studies in primary BMDMs showed that S161N mutation suppressed, but could not completely prevent RIPK1 kinase activity–dependent necroptosis and apoptosis, similarly to our previous findings in cells expressing RIPK1 with S166A mutation (Laurien et al., 2020). Since neither mutation alone could completely prevent RIPK1 kinase–dependent cell death in vitro, we reasoned that phosphorylation events on S161 and S166 may exhibit functional redundancy. To assess this hypothesis, we generated knock-in mice expressing RIPK1 with combined S161N and S166A mutations (Ripk1S161N_S166A/S161N_S166A) (Fig. S1, A and D). Indeed, side-by-side comparison revealed that Ripk1S161N_S166A/S161N_S166A BMDMs were more strongly protected from TSE-induced necroptosis compared to Ripk1S161N/S161N and Ripk1S166A/S166A BMDMs (Fig. 3 A). Consistently, Ripk1S161N_S166A/S161N_S166A BMDMs showed only very faint RIPK3 and MLKL phosphorylation as well as MLKL oligomerization at 9 or 11 h after TSE stimulation, which was weaker compared to Ripk1S161N/S161N and Ripk1S166A/S166A BMDMs (Fig. 3, B and C). Moreover, S166 phosphorylation was detected in Ripk1S161N/S161N BMDMs 9 and 11 h after TSE stimulation (Fig. 3 C). Therefore, combined loss of S161 and S166 phosphorylation had an additive effect compared to the single mutations, resulting in strong suppression of TSE-induced necroptosis. Nevertheless, Ripk1S161N_S166A/S161N_S166A BMDMs did show very low levels of necroptosis that were not observed in Ripk1D138N/D138N BMDMs (Fig. 3, A–C), revealing that even the combined loss of both phosphorylation sites could not completely prevent RIPK1 kinase–induced necroptosis.

Figure 3.

Combined S161N_S166A mutation reveals partially redundant functions of S161 and S166 phosphorylation in RIPK1 kinase activity–dependent cell death. (A) Graph depicting quantification of cell death in BMDMs from mice of the indicated genotypes treated with Emricasan (E, 5 µM), the SMAC mimetic compound birinapant (S, 1 µM), and TNF (T, 20 ng/ml). Graph shows the mean ± SEM of four independent experiments. (B and C) Immunoblots of BMDMs from mice of the indicated genotypes stimulated with TSE for 0, 2, and 4 h or for 0, 9, and 11 h. Representative of three independent experiments. (D) Graph depicting quantification of cell death in BMDMs from mice of the indicated genotypes treated with TAK1 inhibitor (TAK1i, 0.25 µM). Graph shows mean ± SEM of four independent experiments. (E and F) Immunoblots of BMDMs from mice of the indicated genotypes stimulated with TAK1i for 0, 5, and 6 h or for 0, 10, and 12 h. Representative of two independent experiments. Source data are available for this figure: SourceData F3.

Figure 3.

Combined S161N_S166A mutation reveals partially redundant functions of S161 and S166 phosphorylation in RIPK1 kinase activity–dependent cell death. (A) Graph depicting quantification of cell death in BMDMs from mice of the indicated genotypes treated with Emricasan (E, 5 µM), the SMAC mimetic compound birinapant (S, 1 µM), and TNF (T, 20 ng/ml). Graph shows the mean ± SEM of four independent experiments. (B and C) Immunoblots of BMDMs from mice of the indicated genotypes stimulated with TSE for 0, 2, and 4 h or for 0, 9, and 11 h. Representative of three independent experiments. (D) Graph depicting quantification of cell death in BMDMs from mice of the indicated genotypes treated with TAK1 inhibitor (TAK1i, 0.25 µM). Graph shows mean ± SEM of four independent experiments. (E and F) Immunoblots of BMDMs from mice of the indicated genotypes stimulated with TAK1i for 0, 5, and 6 h or for 0, 10, and 12 h. Representative of two independent experiments. Source data are available for this figure: SourceData F3.

Close modal

We then assessed how combined loss of S161 and S166 phosphorylation affected RIPK1-induced apoptosis. Ripk1S161N_S166A/S161N_S166A BMDMs did not undergo apoptosis and did not show caspase-8 and caspase-3 cleavage in response to TAK1i treatment, similarly to Ripk1D138N/D138N BMDMs, in contrast to Ripk1S161N/S161N and Ripk1S166A/S166A BMDMs, which showed delayed apoptosis and caspase activation under the same treatment (Fig. 3, D–F). Together, these results showed that autophosphorylation at S161 and S166 both contribute to RIPK1-induced cell death. While phosphorylation of both sites is required for full activation of RIPK1-mediated cell death, each site can partly compensate for the loss of the other to induce necroptosis and apoptosis. Interestingly, combined abrogation of autophosphorylation on S161 and S166 completely prevented TAK1i-induced apoptosis but could not completely suppress TSE-induced necroptosis, suggesting that additional phosphorylation sites on RIPK1 could compensate for the loss of S161 and S166 in inducing necroptosis.

Our previous results showing that S161A mutation did not inhibit RIPK1 kinase–dependent cell death are consistent with the notion that substitution of S161 with alanine might enforce an open conformation of RIPK1 due to loss of hydrogen bond formation with D156 (Zhang et al., 2017), thus making autophosphorylation on this site obsolete. We therefore asked whether substitution of S161 with alanine, by imposing an open conformation even in the absence of phosphorylation at this site, might be sufficient to overcome the inhibitory effect caused by loss of S166 phosphorylation. To assess this possibility, we generated knock-in mice expressing RIPK1 with combined S161A and S166A substitutions (Ripk1S161A_S166A/S161A_S166A) (Fig. S1 E). Mice harboring the S161A_S166A mutations were born at Mendelian ratio and did not show apparent abnormalities (data not shown). In response to TSE stimulation, BMDMs from Ripk1S161A_S166A/S161A_S166A mice exhibited reduced cell death compared with Ripk1S161A/S161A or WT cells but showed marginally increased cell death kinetics compared with Ripk1S166A/S166A cells (Fig. 4 A). Consistently, TSE treatment induced RIPK3 and MLKL phosphorylation and MLKL oligomerization in Ripk1S161A_S166A/S161A_S166A BMDMs, which was delayed and reduced compared with Ripk1S161A/S161A cells but mildly enhanced compared with Ripk1S166A/S166A cells after 9 and 11 h of stimulation (Fig. 4, B and C). In response to TAK1i treatment, Ripk1S161A_S166A/S161A_S166A BMDMs showed accelerated cell death kinetics compared with Ripk1S166A/S166A but delayed cell death compared with Ripk1S161A/S161A BMDMs (Fig. 4 D). Consistently, Ripk1S161A_S166A/S161A_S166A BMDMs showed delayed activation of caspase-8 and caspase-3 after TAK1i stimulation, similar to Ripk1S166A/S166A BMDMs (Fig. 4, E and F). Therefore, Ripk1S161A_S166A/S161A_S166A cells were more protected from necroptosis and apoptosis compared with Ripk1S161A/S161A cells but showed slightly increased cell death compared with Ripk1S166A/S166A cells. These results further support that S161A mutation imposes an open conformation on the RIPK1 activation loop that can partly overcome the inhibitory effect of S166A mutation. However, phosphorylation at S166 is required for full activation of RIPK1-mediated cell death also in the presence of the S161A mutation.

Figure 4.

S161A mutation partially counteracted the inhibitory effect of S166A mutation on RIPK1 kinase activity–dependent cell death. (A) Graph depicting quantification of cell death in BMDMs from mice of the indicated genotypes treated with Emricasan (E, 5 µM), the SMAC mimetic compound birinapant (S, 1 µM), and TNF (T, 20 ng/ml). Graph shows the mean ± SEM of four independent experiments. (B) Immunoblots of BMDMs from mice of the indicated genotypes stimulated with TSE for 0, 2, and 4 h. Representative of three different experiments (C) Immunoblots of BMDMs from mice of the indicated genotypes stimulated with TSE for 0, 9, and 11 h. Representative of two independent experiments. (D) Graph depicting quantification of cell death in BMDMs from mice of the indicated genotypes treated with TAK1 inhibitor (TAK1i, 0.25 µM). Graph shows mean ± SEM of four independent experiments. (E) Immunoblots of BMDMs from mice of the indicated genotypes stimulated with TAK1i for 0, 5, and 6 h. Representative of two independent experiments. (F) Immunoblots of BMDMs from mice of the indicated genotypes stimulated with TAK1i for 0, 10, and 12 h. Representative of two independent experiments. Source data are available for this figure: SourceData F4.

Figure 4.

S161A mutation partially counteracted the inhibitory effect of S166A mutation on RIPK1 kinase activity–dependent cell death. (A) Graph depicting quantification of cell death in BMDMs from mice of the indicated genotypes treated with Emricasan (E, 5 µM), the SMAC mimetic compound birinapant (S, 1 µM), and TNF (T, 20 ng/ml). Graph shows the mean ± SEM of four independent experiments. (B) Immunoblots of BMDMs from mice of the indicated genotypes stimulated with TSE for 0, 2, and 4 h. Representative of three different experiments (C) Immunoblots of BMDMs from mice of the indicated genotypes stimulated with TSE for 0, 9, and 11 h. Representative of two independent experiments. (D) Graph depicting quantification of cell death in BMDMs from mice of the indicated genotypes treated with TAK1 inhibitor (TAK1i, 0.25 µM). Graph shows mean ± SEM of four independent experiments. (E) Immunoblots of BMDMs from mice of the indicated genotypes stimulated with TAK1i for 0, 5, and 6 h. Representative of two independent experiments. (F) Immunoblots of BMDMs from mice of the indicated genotypes stimulated with TAK1i for 0, 10, and 12 h. Representative of two independent experiments. Source data are available for this figure: SourceData F4.

Close modal

Phosphomimetic S161E mutation bypasses the inhibitory effect of S166A in necroptosis induction

Our results revealed that RIPK1 autophosphorylation at both S161 and S166 contribute to RIPK1 kinase activation and cell death induction in a partially redundant fashion. Previous studies using in vitro reconstitution and overexpression approaches suggested that autophosphorylation at S161 is sufficient for cell death induction (Zhang et al., 2017). We therefore wondered whether S161 phosphorylation could bypass the lack of S166 phosphorylation to induce RIPK1-dependent cell death. To this end, we generated mice expressing RIPK1 with a phosphomimetic serine to glutamic acid mutation at position 161 (S161E) in combination with the S166A mutation (Ripk1S161E_166A/S161E_S166A). Ripk1S161E_166A/S161E_S166A mice were born at the expected Mendelian ratio and reached adulthood without showing apparent abnormalities, showing that the phosphomimetic mutation at S161 did not induce spontaneous pathology in vivo. BMDMs from Ripk1S161E_166A/S161E_S166A mice that were left unstimulated or were treated with TNF alone did not undergo cell death (Fig. 5 A). In response to TSE stimulation, BMDMs from Ripk1S161E_166A/S161E_S166A mice showed increased cell death compared with Ripk1S166A/S166A cells, with cell death kinetics largely similar to those observed in WT BMDMs (Fig. 5 A). Consistent with the cell death assay results, we detected strong TSE-induced phosphorylation of MLKL in Ripk1S161E_166A/S161E_S166A BMDMs compared with very weak MLKL phosphorylation in Ripk1S166A/S166A cells (Fig. 5 B). Together, these results showed that phosphomimetic mutation on S161 could bypass the inhibitory effect of the absence of S166 phosphorylation in inducing necroptosis.

Figure 5.

Phosphomimetic S161E mutation is sufficient to confer necroptosis sensitivity in the absence of S166 phosphorylation. (A) Graphs depicting quantification of cell death in BMDMs from mice of the indicated genotypes treated with TNF or with combinations of TNF (T, 20 ng/ml), Emricasan (E, 5 µM), and the SMAC mimetic compound birinapant (S, 1 µM). Graphs show mean ± SEM of at least three independent experiments. (B) Immunoblots of BMDMs from mice of the indicated genotypes stimulated with TSE for 0, 2, and 4 h. Representative of three independent experiments. (C) Representative photographs of IKK2E-KO (n = 7), IKK2E-KORipk1S166A/S166A (n = 6), and IKK2E-KORipk1S161E_S166A/S161E_S166A (n = 9) mice. (D) Kaplan–Meier survival curve of mice with the indicated genotypes. (E) Representative images of sections from back skin of mice with the indicated genotypes stained with H&E or immunostained for K6 (scale bars = 100 µm; control n = 7, IKK2E-KOn = 7, IKK2E-KORipk1S166A/S166An = 4, IKK2E-KORipk1S161E_S166A/S161E_S166An = 4) at P8, P23, and P119. (F) Graph depicting epidermal thickness of mice with the indicated genotypes. Each dot represents one mouse. Epidermal thickness was measured at P8. Mean ± SEM are shown. Statistical significance was determined using Kruskal–Wallis test. (G) Graphs depicting relative mRNA expression of the indicated cytokines in RNA from whole-skin tissue of mice of the indicated genotypes measured by qRT-PCR. Each dot represents one mouse. Mean ± SEM are shown. Statistical significance was determined using Kruskal–Wallis test. Control mice include Ikk2FL/FLK14CreWT/WT or Ikk2FL/WTK14CreTg/WT littermates with WT or mutant Ripk1 alleles. Source data are available for this figure: SourceData F5.

Figure 5.

Phosphomimetic S161E mutation is sufficient to confer necroptosis sensitivity in the absence of S166 phosphorylation. (A) Graphs depicting quantification of cell death in BMDMs from mice of the indicated genotypes treated with TNF or with combinations of TNF (T, 20 ng/ml), Emricasan (E, 5 µM), and the SMAC mimetic compound birinapant (S, 1 µM). Graphs show mean ± SEM of at least three independent experiments. (B) Immunoblots of BMDMs from mice of the indicated genotypes stimulated with TSE for 0, 2, and 4 h. Representative of three independent experiments. (C) Representative photographs of IKK2E-KO (n = 7), IKK2E-KORipk1S166A/S166A (n = 6), and IKK2E-KORipk1S161E_S166A/S161E_S166A (n = 9) mice. (D) Kaplan–Meier survival curve of mice with the indicated genotypes. (E) Representative images of sections from back skin of mice with the indicated genotypes stained with H&E or immunostained for K6 (scale bars = 100 µm; control n = 7, IKK2E-KOn = 7, IKK2E-KORipk1S166A/S166An = 4, IKK2E-KORipk1S161E_S166A/S161E_S166An = 4) at P8, P23, and P119. (F) Graph depicting epidermal thickness of mice with the indicated genotypes. Each dot represents one mouse. Epidermal thickness was measured at P8. Mean ± SEM are shown. Statistical significance was determined using Kruskal–Wallis test. (G) Graphs depicting relative mRNA expression of the indicated cytokines in RNA from whole-skin tissue of mice of the indicated genotypes measured by qRT-PCR. Each dot represents one mouse. Mean ± SEM are shown. Statistical significance was determined using Kruskal–Wallis test. Control mice include Ikk2FL/FLK14CreWT/WT or Ikk2FL/WTK14CreTg/WT littermates with WT or mutant Ripk1 alleles. Source data are available for this figure: SourceData F5.

Close modal

To study whether mimicking phosphorylation at S161 could promote necroptosis in the absence of S166 phosphorylation also in vivo, we assessed skin lesion development in IKK2E-KORipk1S166A/S166A and IKK2E-KORipk1S161E_S166A/S161E_S166A mice. In contrast to IKK2E-KO mice that developed severe skin inflammation, necessitating their humane sacrifice at P8, IKK2E-KORipk1S166A/S166A mice reached adulthood without showing skin lesions, with only two out of six mice showing mild focal upregulation of K6 in the epidermis at the age of 4–6 mo (Fig. 5, C–G). Thus, S166A mutation strongly protected IKK2E-KO mice from necroptosis-induced skin inflammation similarly to the kinase-inactive D138N mutation (Kumari et al., 2021). IKK2E-KORipk1S161E_S166A/S161E_S166A mice showed only minor signs of skin lesions at P8; however, these lesions progressed rapidly reaching the severity endpoint between 2 and 3 wk of age (Fig. 5, C–E). Therefore, phosphomimetic S161E mutation could bypass the inhibitory effect of S166A to induce keratinocyte necroptosis and skin inflammation in IKK2E-KO mice, although with slower kinetics compared with WT RIPK1. Taken together, these results showed that S161 phosphorylation promotes RIPK1-mediated necroptosis in vitro and in vivo, also in the absence of S166 phosphorylation.

Impaired apoptosis induction in cells expressing RIPK1 with S161E_S166A mutation

To test whether the phosphomimetic mutation on S161 could compensate for the inhibitory effect of S166A mutation in apoptosis induction, we measured TAK1i-induced cell death in BMDMs from WT, Ripk1S166A/S166A, and Ripk1S161E_S166A/S161E_S166A mice. Surprisingly, Ripk1S161E_S166A/S161E_S166A cells were as resistant as Ripk1D138N/D138N BMDMs to TAK1 inhibitor treatment, whereas Ripk1S166A/S166A BMDMs showed delayed death compared with WT cells under the same conditions (Fig. 6 A). Consistent with the cell death assay results, Ripk1S161E_S166A/S161E_S166A BMDMs showed impaired caspase-8 processing in response to treatment with TAK1i alone compared with Ripk1S166A/S166A cells (Fig. 6 B). However, Ripk1S161E_S166A/S161E_S166A BMDMs underwent necroptosis in response to stimulation with TAK1i together with Emricasan, albeit with slightly reduced cell death kinetics compared with Ripk1S166A/S166A BMDMs (Fig. 6, A and B). Notably, under these conditions also Ripk1D138N/D138N cells showed delayed death, suggesting that TAK1i + Emricasan induces necroptosis by RIPK1 kinase–independent mechanisms at later time points (Fig. 6 A). To study whether the phosphomimetic mutation on S161 could compensate for the loss of S166 phosphorylation in driving caspase-8–dependent skin inflammation in vivo, we crossed the Ripk1S161E_S166A/S161E_S166A mice into the Sharpincpdm/cpdm background. As we reported previously (Laurien et al., 2020), Sharpincpdm/cpdmRipk1S166A/S166A mice did not develop skin lesions at least until the age of 40 wk (Fig. 6 C), showing that ablation of S166 phosphorylation could prevent the RIPK1 kinase activity–dependent keratinocyte death and skin pathology of Sharpincpdm/cpdm mice. In contrast, Sharpincpdm/cpdmRipk1S161E_S166A/S161E_S166A mice developed skin lesions with kinetics largely similar to Sharpincpdm/cpdm mice (Fig. 6, C–G). Therefore, the phosphomimetic S161E mutation could bypass the requirement for S166 phosphorylation for the induction of RIPK1 kinase–dependent keratinocyte death, causing skin inflammation in vivo in the Sharpincpdm/cpdm mouse model. Interestingly, the skin lesions in Sharpincpdm/cpdmRipk1S161E_S166A/S161E_S166A mice showed a strong reduction in the number of CC3+ cells in the epidermis compared with Sharpincpdm/cpdm (Fig. 6 F), suggesting that keratinocytes in these animals do not undergo apoptosis but may switch to necroptosis.

Figure 6.

Phosphomimetic S161E mutation does not sensitize cells to RIPK1 kinase activity–dependent apoptosis in the absence of S166 phosphorylation. (A) Graphs depicting quantification of cell death in BMDMs from mice of the indicated genotypes treated with TAK1 inhibitor (TAK1i, 0.25 µM) alone and with a combination of TAK1i and Emricasan (5 µM). Graphs show mean ± SEM of three independent experiments. (B) Immunoblots of BMDMs from mice of the indicated genotypes stimulated with TAK1i with or without Emricasan (E, 5 µM). Representatives of two independent experiments. (C) Kaplan–Meier survival curve of mice with the indicated genotypes. (D) Representative images of sections from back skin of mice with the indicated genotypes stained with H&E or immunostained for CC3 (scale bars = 100 µm; control n = 5, Sharpincpdm/cpdmn = 10, Sharpincpdm/cpdmRipk1S166A/S166An = 4, Sharpincpdm/cpdmRipk1S161E_S166A/S161E_S166An = 4). (E) Graph depicting measurement of epidermal thickness of mice with the indicated genotypes. Each dot represents one mouse. (F) Graph showing the average amount of CC3+ cells per optical field in mice with the indicated genotypes. Mean ± SEM are shown. Each dot represents one mouse. Statistical significance was determined using Kruskal–Wallis test. (G) Graphs depicting relative mRNA expression of the indicated cytokines in RNA from whole-skin tissue of mice of the indicated genotypes measured by qRT-PCR. Each dot represents one mouse. Means ± SEM are shown. Statistical significance was determined using Kruskal–Wallis test. Control mice include Sharpincpdm/WT or SharpinWT/WT littermates with WT or mutant Ripk1 alleles. Source data are available for this figure: SourceData F6.

Figure 6.

Phosphomimetic S161E mutation does not sensitize cells to RIPK1 kinase activity–dependent apoptosis in the absence of S166 phosphorylation. (A) Graphs depicting quantification of cell death in BMDMs from mice of the indicated genotypes treated with TAK1 inhibitor (TAK1i, 0.25 µM) alone and with a combination of TAK1i and Emricasan (5 µM). Graphs show mean ± SEM of three independent experiments. (B) Immunoblots of BMDMs from mice of the indicated genotypes stimulated with TAK1i with or without Emricasan (E, 5 µM). Representatives of two independent experiments. (C) Kaplan–Meier survival curve of mice with the indicated genotypes. (D) Representative images of sections from back skin of mice with the indicated genotypes stained with H&E or immunostained for CC3 (scale bars = 100 µm; control n = 5, Sharpincpdm/cpdmn = 10, Sharpincpdm/cpdmRipk1S166A/S166An = 4, Sharpincpdm/cpdmRipk1S161E_S166A/S161E_S166An = 4). (E) Graph depicting measurement of epidermal thickness of mice with the indicated genotypes. Each dot represents one mouse. (F) Graph showing the average amount of CC3+ cells per optical field in mice with the indicated genotypes. Mean ± SEM are shown. Each dot represents one mouse. Statistical significance was determined using Kruskal–Wallis test. (G) Graphs depicting relative mRNA expression of the indicated cytokines in RNA from whole-skin tissue of mice of the indicated genotypes measured by qRT-PCR. Each dot represents one mouse. Means ± SEM are shown. Statistical significance was determined using Kruskal–Wallis test. Control mice include Sharpincpdm/WT or SharpinWT/WT littermates with WT or mutant Ripk1 alleles. Source data are available for this figure: SourceData F6.

Close modal

Autophosphorylation at S161 and S166 are required for RIPK1 kinase activation

Our results showed that autophosphorylation events on S161 and S166 are critical for the activation of RIPK1 kinase–dependent necroptosis and apoptosis. These autophosphorylation sites reside in the activation loop of RIPK1, and therefore mutations on these sites may inhibit its catalytic activity. Indeed, our previous studies in BMDMs from heterozygous Ripk1D138N/S166A mice, in which the capacity of RIPK1-S166A to trans-autophosphorylate the kinase-inactive RIPK1-D138N can be measured by immunoblotting with antibodies against phosphorylated S166, showed that RIPK1-S166A exhibits reduced kinase activity (Laurien et al., 2020). Based on our findings that combined S161N_S166A mutation suppressed RIPK1 kinase–dependent necroptosis and apoptosis more strongly compared with the single mutations, we hypothesized that autophosphorylation at S161 may partially compensate for loss of S166 phosphorylation in promoting RIPK1 kinase activity (Fig. 7 A). To address this hypothesis, we generated Ripk1S161N_S166A/D138N mice that express RIPK1-S161N_S166A from one allele and RIPK1-D138N from the other allele. In these cells, S166 phosphorylation can only occur if RIPK1-S161N_S166A phosphorylates RIPK1-D138N in trans (Fig. 7 A). Therefore, immunoblotting for phosphorylated S166 provides a readout of the kinase activity of RIPK1-S161N_S166A (Fig. 7 A). Since this approach ensures physiological endogenous expression levels, it provides an ideal experimental system to measure RIPK1 kinase activity in vivo that is superior to in vitro kinase assays or cellular systems based on overexpression of the mutated proteins. We therefore assessed cell death and S166 phosphorylation in these cells in response to TSE stimulation. Ripk1WT/D138N BMDMs, which we used as positive control, showed S166 phosphorylation after TSE treatment (Fig. 7, B and C). Consistent with our previous studies, TSE-induced S166 phosphorylation was reduced but clearly detectable in Ripk1S166A/D138N cells (Fig. 7, B and C). While we could not detect S166 phosphorylation in Ripk1S161N_S166A/D138N BMDMs stimulated with TSE under the same conditions (Fig. 7, B and C), these cells showed weak phosphorylation and oligomerization of MLKL and cell death induction (Fig. 7, C and D). Therefore, abrogation of autophosphorylation on both S161 and S166 strongly suppressed but could not fully prevent RIPK1 kinase activation and necroptosis induction after TSE treatment. However, Ripk1S161N_S166A/D138N BMDMs were fully protected from caspase-8 and caspase-3 cleavage and cell death after stimulation with TAK1i, in contrast to Ripk1S166A/D138N cells, which showed weak activation of caspases and apoptosis (Fig. 7, E and F). Taken together, these results showed that autophosphorylation on both S161 and S166 contributes to RIPK1 kinase activation, with each site capable of partially compensating for the loss of the other.

Figure 7.

S161 and S166 cooperate to regulate RIPK1 kinase activation. (A) Schematic depicting the possible combinations of RIPK1 dimers in Ripk1S161N_S166A/D138N and in Ripk1S166A/D138N mice. Residue 166 on RIPK1 is labeled. (B) Immunoblots of BMDMs from mice of the indicated genotypes stimulated with TNF (T, 20 ng/ml), the SMAC mimetic compound birinapant (S, 1 µM), and Emricasan (E, 5 µM) (TSE) for 0, 2, 4, and 6 h. Representative of three independent experiments. (C) Immunoblots of BMDMs from mice of the indicated genotypes stimulated with TSE for 0, 7, or 9 h. Representative of two independent experiments. (D) Graph depicting quantification of cell death in BMDMs from mice of the indicated genotypes treated with TSE. Graph shows the mean ± SEM of seven independent experiments. (E) Immunoblots of BMDMs from mice of the indicated genotypes treated with TAK1 inhibitor (TAK1i, 0.25 µM) for 0, 13, and 15 h. Representative of two independent experiments. (F) Graph depicting quantification of cell death in BMDMs from mice of the indicated genotypes treated with TAK1i (0.25 µM). Graph shows the mean ± SEM of four independent experiments. Source data are available for this figure: SourceData F7.

Figure 7.

S161 and S166 cooperate to regulate RIPK1 kinase activation. (A) Schematic depicting the possible combinations of RIPK1 dimers in Ripk1S161N_S166A/D138N and in Ripk1S166A/D138N mice. Residue 166 on RIPK1 is labeled. (B) Immunoblots of BMDMs from mice of the indicated genotypes stimulated with TNF (T, 20 ng/ml), the SMAC mimetic compound birinapant (S, 1 µM), and Emricasan (E, 5 µM) (TSE) for 0, 2, 4, and 6 h. Representative of three independent experiments. (C) Immunoblots of BMDMs from mice of the indicated genotypes stimulated with TSE for 0, 7, or 9 h. Representative of two independent experiments. (D) Graph depicting quantification of cell death in BMDMs from mice of the indicated genotypes treated with TSE. Graph shows the mean ± SEM of seven independent experiments. (E) Immunoblots of BMDMs from mice of the indicated genotypes treated with TAK1 inhibitor (TAK1i, 0.25 µM) for 0, 13, and 15 h. Representative of two independent experiments. (F) Graph depicting quantification of cell death in BMDMs from mice of the indicated genotypes treated with TAK1i (0.25 µM). Graph shows the mean ± SEM of four independent experiments. Source data are available for this figure: SourceData F7.

Close modal

RIPK1 is widely recognized as a kinase with an important role in cell death and inflammation and has been implicated in disease pathogenesis. While RIPK1 was initially reported to phosphorylate other substrates such as DRP1 (Wang et al., 2014), autophosphorylation is currently considered the main and critical function of RIPK1 kinase activity. Autophosphorylation is thought to promote conformational changes facilitating the interaction of RIPK1 with FADD and RIPK3 and the induction of caspase-8– and MLKL-mediated cell death. However, the functional significance of RIPK1 autophosphorylation on distinct sites as well as the potential hierarchies and cross talk between these sites remain largely unknown. Our results using knock-in mice expressing RIPK1 with mutations in S161 and S166 alone or in combination revealed important functions of these autophosphorylation sites in RIPK1-mediated cell death and inflammation in vitro and in vivo.

Our findings in Ripk1S161N/S161N mice and cells showed that S161 phosphorylation is important for RIPK1-dependent MLKL-mediated necroptosis as well as for caspase-8–mediated apoptosis in vitro and in vivo. S161N mutation could prevent TNFR1-mediated keratinocyte necroptosis and inflammation in IKK2E-KO mice, as well as TNFR1-mediated keratinocyte apoptosis and inflammation in Sharpincpdm/cpdm mice, revealing a critical physiological role of S161 phosphorylation for RIPK1-mediated cell death in vivo. However, S161N mutation only partially suppressed TNFR1-mediated necroptosis and apoptosis in cultured BMDMs, as opposed to complete protection offered by the catalytically inactive D138N mutation. Overall, the effects of S161N mutation were very similar to the effects of S166A mutation, suggesting that these two sites might act together in a functionally redundant fashion to promote RIPK1-mediated cell death responses. To address potential functional redundancies, we generated and analyzed mice with combined S161N_S166A mutations on RIPK1. Ripk1S161N_S166A/S161N_S166A BMDMs were more strongly protected from TSE-induced necroptosis compared with the single mutants but did show weak activation of MLKL and low levels of cell death in some experiments. In contrast, Ripk1S161N_S166A/S161N_S166A BMDMs were completely protected from TAK1 inhibitor–mediated activation of caspase-8–dependent cell death, suggesting that autophosphorylation on these sites is obligatory for caspase-8 activation. Together, these results showed that both S161 and S166 are important for RIPK1-induced cell death, with phosphorylation of both sites required for full activation of RIPK1-mediated cell death. Interestingly, combined abrogation of autophosphorylation on S161 and S166 completely prevented TAK1i-induced apoptosis but could not completely suppress TSE-induced necroptosis, suggesting that additional phosphorylation sites on RIPK1, such as T169 (Jetton et al., 2024; Laurien et al., 2020), could compensate for the loss of S161 and S166 in TSE-induced necroptosis.

Autophosphorylation on S161 or S166 could trigger RIPK1-mediated cell death directly by imposing conformational changes facilitating the recruitment and activation of downstream effectors such as RIPK3 and caspase-8, or indirectly by regulating RIPK1 kinase activation. Our experiments assessing RIPK1 kinase activity by detecting S166 phosphorylation of kinase-inactive RIPK1-D138N in heterozygous cells revealed that the capacity of the individual mutations on S161 and S166 to suppress RIPK1-dependent cell death correlated with their effect on the kinase activity of RIPK1. Our data suggest an interplay of autophosphorylation events at S161 and S166 in the RIPK1 activation loop, which are critical for full activation of its catalytic activity. Kinase activation by autophosphorylation in the activation loop is a well-documented activation mechanism in eukaryotic protein kinases that requires catalysis of an autoactivating reaction by an enzymatically inactive protein. This step is often achieved by assembly of inactive kinases into dimers and alignment of certain motifs, which allows for “one-hit” activating autophosphorylation reactions (Beenstock et al., 2016). Individual mutation of S161 or S166 partially inhibited, while combined mutation of both sites nearly completely suppressed RIPK1 kinase activity and cell death induction, suggesting that autophosphorylation at these sites is critical for full activation of RIPK1 and induction of downstream cell death signaling. Autophosphorylation is thought to impose conformational changes on RIPK1 facilitating its interaction with downstream cell death effectors and the formation of cell death–inducing signaling complexes. Overall, the decision whether cell death is induced may depend on whether a certain threshold of kinase activity is reached to achieve autophosphorylation in a certain amount of RIPK1 molecules within a cell. Thus, lower levels of kinase activity in Ripk1S166A/S166A and Ripk1S161N/S161N would result in overall fewer cells reaching the threshold for cell death induction, which is sufficient to block RIPK1-mediated cell death and inflammation in vivo but can be bypassed by increasing the strength of the stimulus in cell culture experiments.

The finding that abrogating autophosphorylation on S161 or S166 strongly inhibited RIPK1 kinase activity makes it difficult to assess the role of specific autophosphorylation events in directly promoting RIPK1-mediated cell death induction by facilitating recruitment and activation of RIPK3 and/or caspase-8. To specifically assess whether S161 phosphorylation could be sufficient for RIPK1-mediated cell death, we employed Ripk1S161E_S166A/S161E_S166A mice expressing RIPK1 with a phosphomimetic S161E mutation in the context of S166A mutation. Introducing a phosphomimetic S161E mutation was sufficient to overcome the inhibitory effect of the S166A mutation in the induction of TSE-induced necroptosis in vitro, as well as for keratinocyte necroptosis and skin inflammation in IKK2E-KO mice in vivo. These experiments provided evidence that S161 phosphorylation could bypass the requirement for S166 phosphorylation for the induction of necroptosis. Interestingly, Ripk1S161E_S166A/S161E_S166A BMDMs showed impaired caspase-8–mediated apoptosis in response to TAK1i treatment but readily succumbed to necroptosis induced by TAK1i + Emricasan. Moreover, Sharpincpdm/cpdmRipk1S161E_S166A/S161E_S166A mice developed skin lesions with similar kinetics and severity as Sharpincpdm/cpdm expressing WT RIPK1, but had much less CC3+ cells in the epidermis compared with Sharpincpdm/cpdm animals, suggesting that keratinocytes in these mice do not undergo apoptosis but may switch to necroptosis. While the underlying molecular mechanism remains to be fully elucidated, these results indicated that S161E mutation specifically sensitizes cells to necroptosis.

Collectively, our results support a model in which an interplay of autophosphorylation events at S161 and S166 is required to promote kinase activation and the cell death–inducing function of RIPK1. While autophosphorylation in both S161 and S166 is required for full activation of RIPK1 and the induction of cell death, the two sites show a degree of functional redundancy, with mutation of either residue resulting in partial inhibition of RIPK1-mediated cell death in cell culture. However, under more physiological conditions in vivo, mutations abolishing autophosphorylation on either S161 or S166 were sufficient to prevent RIPK1-mediated cell death and inflammation. Our results are in agreement with an accompanying paper by Han et al. (2025), who report that RIPK1 autophosphorylation promotes TNF-induced necroptosis in mice. Therefore, S161 and S166 phosphorylation can serve as valuable biomarkers for the stratification of patients that might benefit most from treatment with RIPK1 kinase inhibitors that are currently under clinical development.

Mice

Ripk1D138N/D138N (Polykratis et al., 2014), Ripk1S166A/S166A (Laurien et al., 2020), Sharpincpdm/cpdm (Seymour et al., 2007), Ikk2FL/FL (Pasparakis et al., 2002), Caspase-1−/− (Van Gorp et al., 2016), and K14Cre (Hafner et al., 2004) mice were described previously. Ripk1S161N/S161N, Ripk1S161A/S161A, Ripk1S161N_S166A/S161N_S166A, Ripk1S161A_S166A/S161A_S166A, Ripk1S161E_166A/S161E_S166A, Gsdmd−/−, and Gsdme−/− mice were generated in this study using CRISPR-Cas9–mediated gene targeting in zygotes from C57Bl/6N mice. Oocytes fertilized with sperm of Ripk1S166A/S166A males were electroporated with the following knock-in oligos and Cas9 protein for the respective mouse lines (mutated codons are bolded):

5′-TAA​CTT​CCA​TTG​GCC​CCT​CTT​CTT​TTC​CAG​ATA​GCC​GAT​CTT​GGT​GTG​GCTGCGTTT​AAG​ACA​TGGGCCAAA​CTG​ACT​AAG​GAG​AAA​GAC​AAC​AAG​CAG​AAA​GAA​GTG​AGC​AGC​ACC​ACT-3′ (Ripk1S161A_S166A/S161A_S166A), 5′-CTT​AGT​GAT​AAC​TTC​CAT​TGG​CCC​CTC​TTC​TTT​TCC​AGA​TAG​CCG​ATC​TTG​GTG​TAG​CTAACTTT​AAG​ACA​TGGGCGAAA​CTG​ACT​AAG​GAG​AAA​GAC​AAC​AAG​CAG​AAA​GAA​GTG​AGC​AGC​ACC​ACT​AAG​AAG​AAC-3′ (Ripk1S161N_S166A/S161N_S166A), and 5′-CTT​AGT​GAT​AAC​TTC​CAT​TGG​CCC​CTC​TTC​TTT​TCC​AGA​TAG​CCG​ATC​TTG​GTG​TGG​CTGAGTTT​AAG​ACA​TGGGCGAAA​CTG​ACT​AAG​GAG​AAA​GAC​AAC​AAG​CAG​AAA​GAA​GTG​AGC​AGC​ACC​ACT​AAG​AAG​AAC-3′ (Ripk1S161E_S166A/S161E_S166A).

Fertilized WT oocytes were electroporated with the following knock-in oligos and Cas9 protein for the respective mouse lines:

5′-TAA​CTT​CCA​TTG​GCC​CCT​CTT​CTT​TTC​CAG​ATA​GCC​GAT​CTT​GGT​GTG​GCTGCGTTT​AAG​ACA​TGGAGCAAA​CTG​ACT​AAG​GAG​AAA​GAC​AAC​AAG​CAG​AAA​GAA​GTG​AGC​AGC​ACC​ACT-3′ (Ripk1S161A/S161A) and 5′-CTT​AGT​GAT​AAC​TTC​CAT​TGG​CCC​CTC​TTC​TTT​TCC​AGA​TAG​CCG​ATC​TTG​GTG​TAG​CTAACTTT​AAG​ACA​TGG​AGC​AAA​CTG​ACT​AAG​GAG​AAA​GAC​AAC​AAG​CAG​AAA​GAA​GTG​AGC​AGC​ACC​ACT​AAG​AAG​AAC-3′ (Ripk1S161N/S161N).

To generate Gsdme−/− mice, one gRNA (Gsdme gRNA: 5′-TTT​CTG​GAC​ATG​CTG​GAT​GG-3′) targeting exon 7 was in vitro transcribed and coelectroporated into fertilized WT oocytes together with Cas9 protein. To generate Gsdmd−/− mice, two gRNAs (Gsdmd gRNA1: 5′-GCA​GTA​TAC​ACA​CAT​TCA-3′ and Gsdmd gRNA2: 5′-GCG​TGT​GAC​TCA​GAA​GAC​CT-3′) targeting exon 3 were coelectroporated into fertilized WT oocytes together with Cas9 protein. After confirmation of the correct mutations by genomic DNA sequencing analysis, founder mice carrying the targeted mutations were backcrossed to C57BL/6N mice to establish independent mouse lines. Based on our previous experience in the analysis of the Sharpincpdm/cpdm and IKK2E-KO mouse models of skin inflammation, we aimed to analyze at least five animals per group.

All mice were maintained at the specific pathogen–free animal facility of the Cologne Excellence Cluster for Aging and Aging-Associated Diseases (CECAD) Research Center of the University of Cologne at a temperature of 22 ± 2°C, 55 ± 5% relative humidity under a 12-h dark/light cycle, and given a regular chow diet (Harlan, diet number 2918) as well as water ad libitum. All animal procedures were conducted in accordance with European national and institutional guidelines, and all protocols were approved by the responsible local authorities (Landesamt für Natur, Umwelt und Verbraucherschutz Nordrhein-Westfalen, Germany). Animals requiring medical attention were provided with appropriate care. No other exclusion criteria existed. All mouse studies were performed in a blinded fashion, and animals were assigned randomly to groups.

Primary cell isolation and culture

BMDMs were isolated from mice according to standard procedures. Bones were dissected and flushed with PBS; the collected bone marrow was spun down, plated, and maintained in Dulbecco’s modified eagle medium (Gibco) supplemented with penicillin-streptomycin, L-glutamine, sodium pyruvate, and HEPES buffer solution (1% each, all Gibco) and 10% fetal bovine serum superior (Biochrom) and 20 ng ml−1 M-CSF (RRID: 12343118; ImmunoTools). BMDMs were differentiated for 6 days before plating for experiments. BMDMs were kept at 37°C with 5% CO2.

Histological analysis of tissue sections

Skin tissue samples were fixed overnight in 4% paraformaldehyde, embedded in paraffin, and cut in 3–5-µm sections. For histopathological analysis, paraffin sections were rehydrated using decreasing ethanol concentrations, and heat-induced antigen retrieval was performed. Sections were incubated with primary antibodies against cleaved caspase-3 (RRID: 9661; Cell Signaling; Lot: 47) and Keratin 6 (RRID: 905701; BioLegend, Lot: B379761). For visualization, the ABC Kit Vectastain Elite (Vector Laboratories) and DAB substrate (DAKO and Vector Laboratories) were used. Epidermal thickness was analyzed by measuring epidermal thickness in four optical fields per section with four measurements per field. For determination of CC3+ cell numbers, four optical fields per section at 10× magnification were counted, and the average was plotted. Quantification of CC3+ cells and epidermal thickness were performed in a blinded fashion. To compare the effects of the different RIPK1 mutations on the development of skin lesions, the same groups of Sharpincpdm/cpdm mice and respective littermate controls, as well as IKK2E-KO mice and respective K14Cre-negative littermate controls, were used.

Immunoblotting

BMDMs were seeded at 1,000,000 cells per well in a 6-well plate. After stimulation, cells were lysed in protein lysis buffer supplemented with protease and phosphatase inhibitors for 20 min on ice. Samples were heated at 95°C for 8 min. Protein lysates were separated using SDS gel electrophoresis and transferred to PVDF membranes (Cat# IPVH00010; Millipore). Membranes were blocked for 1 h in 5% milk/0.1% PBS-T and incubated overnight at 4°C with primary antibodies against RIPK1 (RRID: AB_397832, Cat# 610459; BD Biosciences, Lot: 9213795), RIPK1 (RRID: AB_2305314, Cat# 3493; Cell Signaling, Lot: 3), p-RIPK1(S166) (RRID: AB_2799000, Cat# 31122; Cell Signaling Technology, Lot: 6), p-RIPK3(T231/S232) (RRID: AB_2937060, Cat# 91702; Cell Signaling, Lot: 4), p-MLKL (S345) (RRID: AB_2799112, Cat# 37333; Cell Signaling, Lot: 4), MLKL (RRID: AB_2820284, Cat# MABC604; Millipore, Lot: 3887745), RIPK3 (RRID: AB_2722663, Cat# 15828; Cell Signaling, Lot: 1), Cleaved-Caspase-3 (RRID: AB_2341188, Cat# 9661; Cell Signaling, Lot: 47), Cleaved-Caspase-8 (RRID: AB_10891784, Cat# 8592; Cell Signaling, Lot: 6), Caspase-8 (RRID: AB_10545768, Cat# 4790; Cell Signaling, Lot: 4), GAPDH (RRID:AB_10077627, Cat# NB300-221; Novus Biologicals, Lot: 061424), Vinculin (RRID: AB_2728768, Cat# 13901; Cell Signaling, Lot: 9), Caspase-1 (RRID:AB_2490249, Cat# AG-20B-0042-C100; AdipoGen, Lot: A43682304), GSDMD (RRID: AB_2888940, Cat# ab219800; Abcam, Lot: GR3205112-17), GSDME (RRID: AB_2737000, Cat# ab215191; Abcam, Lot: GR3279425), and Tubulin (RRID: AB_477582, Cat# T6074; Sigma-Aldrich). Secondary antibodies used were anti-mouse IgG HRP-linked antibody (RRID: AB_772210, Cat# NA931; Cytiva, Lot: 18228250), anti-rat (RRID: AB_2338140, Cat# 112-035-175; Jackson ImmunoResearch Labs, Lot: 156796), and anti-rabbit IgG HRP-linked antibody (RRID: AB_772206, Cat# NA934V; Cytiva, Lot: 18258065). Signals were detected using SuperSignal West Pico Chemiluminescent substrate (Cat# 34080; Thermo Fisher Scientific), Amersham ECL Western Blotting Detection Reagent (GE Healthcare), or SuperSignal West Pico PLUS Chemiluminescent Substrate (Cat# 34580; Thermo Fisher Scientific) and SuperSignal West Femto (Cat# 34095; Thermo Fisher Scientific). The membranes were reprobed after incubation in Restore Western Blot stripping buffer (21059; Thermo Fisher Scientific) or after extensive washing for primary antibodies of different species.

MLKL oligomerization detection

BMDMs were seeded at 1,000,000 cells per well in a 6-well plate. After stimulation, cells were lysed with nonreducing sample buffer (300 mM Tris-Cl [pH 6.8], 50% glycerol, 0.05% bromophenol blue, and 10% SDS) immediately. Total cell lysates were separated using SDS-PAGE, transferred to PVDF membrane (IPVH00010; Millipore), and detected with the indicated antibodies.

Cell death assays

BMDMs were seeded at 30,000 cells per well in a 96-well plate. The following day, cells were pre-treated with combinations of Emricasan (S7775; Selleckchem) and Birinapant (2597; BioVision) and TAK1 inhibitor 5Z-7 Oxozeaenol (O9890; Sigma-Aldrich, 0.25 µM) in the presence of the dead cell stain DRAQ7 (7406; Cell Signaling, 0.15 µM) for 30 min before addition of recombinant mouse TNF (VIB Protein Service Facility, Ghent) or LPS (ALX-581-010-L002; Enzo, 100 ng*ml−1) or TAK1 inhibitor 5Z-7 Oxozeaenol (O9890; Sigma-Aldrich, 0.25 µM). Dead cells were imaged in real time for 24 h in intervals of 2 h via fluorescence signals using an IncuCyte S3 Live-Cell Analysis System (Essen Bioscience). Total cell numbers were calculated by treating three wells per genotype in each experiment with the cell-permeable fluorescent stain DRAQ5 (#4084L; Cell Signaling Technology, 500 nM) and imaging at a 2-h time point. Resulting images were analyzed using the software package of the IncuCyte, which allows quantification of the number of DRAQ7- or DRAQ5-positive cells. Dead cell counts acquired via DRAQ7 staining were divided by the total cell number of DRAQ5-positive cells to yield the percentage of cell death at each time point. Curves show the mean of at least three independent experiments.

Quantitative RT-PCR (qRT-PCR)

Total RNA was extracted using a Direct-zol RNA isolation kit (Biozol). cDNA was prepared using the LUNA RT SuperMix kit (E3010L; NEB). All qRT-PCRs were performed with TaqMan probes (Il1b Mm00434228_m1, Il6 Mm00446190_m1, Tnf Mm00443258_m1, Ccl4 [Mm00443111_m1], and Ccl3 [Mm00441258_m1], all Thermo Fisher Scientific). Relative expression of gene transcripts was analyzed using the 2−ΛCt method, and Tbp (Mm00446973_m1) was used as a reference gene. The same Sharpincpdm/cpdm control mice and respective WT controls were used in all experiments for comparison. The same IKK2E-KO control mice and respective WT controls were used in all experiments for comparison.

Statistical analysis

Statistical analysis was performed with Prism 10 (GraphPad). All statistical details can be found in the figure legends or in the figures. Data shown in graphs display mean. No data were excluded.

Online supplemental material

Fig S1 shows the targeting scheme as well as genomic DNA sequencing data for mice harboring RIPK1 mutations generated in this study. Fig S2 shows that the TAK1i-induced cell death in BMDMs requires autocrine TNF-TNFR1 signaling and depends on caspase-8 but occurs independently of caspase-1 and GSDMD and GSDME. Additionally, Fig S2 shows that the different RIPK1 mutations do not impact TNF + CHX-induced cell death in BMDMs. Fig S3 shows the targeting scheme and genomic DNA sequencing data for the generation of Gsdme−/− and Gsdmd−/− mice.

The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.

We thank E. Gareus, M. Hahn, J. Kuth, L. Elles, P. Roggan, E. Stade, C. Uthoff-Hachenberg, and J. von Rhein for excellent technical assistance. We also thank B. Zevnik and the CECAD Transgenic Core Facility for CRISPR/Cas9 mutagenesis in mouse zygotes, as well as A. Schauss and the CECAD Imaging Facility for light microscopy support.

Research reported in this publication was supported by funding from the European Research Council under the European Union’s Horizon 2020 research and innovation (grant agreement no. 787826), the Deutsche Forschungsgemeinschaft (German Research Foundation) projects PA1476/8-2 (project no. 411102043), SFB1403 (project no. 414786233), SFB1399 (project no. 413326622), and under Germany’s Excellence Strategy-EXC 2030 CECAD (project no. 390661388). Xiaoming Li was supported by a postdoctoral fellowship from the Alexander von Humboldt foundation. Open Access funding provided by University of Cologne Medical Department; Department of Biology.

Author contributions: Lioba Koerner: data curation, formal analysis, investigation, methodology, project administration, validation, visualization, and writing—original draft, review, and editing. Xiaoming Li: investigation, validation, and visualization. Eveline Silnov: formal analysis, investigation, and validation. Lucie Laurien: conceptualization, data curation, investigation, methodology, project administration, supervision, validation, visualization, and writing—original draft. Manolis Pasparakis: conceptualization, funding acquisition, project administration, supervision, and writing—original draft, review, and editing.

Beenstock
,
J.
,
N.
Mooshayef
, and
D.
Engelberg
.
2016
.
How do protein kinases take a selfie (Autophosphorylate)?
Trends Biochem. Sci.
41
:
938
953
.
Berger
,
S.B.
,
V.
Kasparcova
,
S.
Hoffman
,
B.
Swift
,
L.
Dare
,
M.
Schaeffer
,
C.
Capriotti
,
M.
Cook
,
J.
Finger
,
A.
Hughes-Earle
, et al
.
2014
.
Cutting edge: RIP1 kinase activity is dispensable for normal development but is a key regulator of inflammation in SHARPIN-deficient mice
.
J. Immunol.
192
:
5476
5480
.
Chen
,
X.
,
R.
Zhu
,
J.
Zhong
,
Y.
Ying
,
W.
Wang
,
Y.
Cao
,
H.
Cai
,
X.
Li
,
J.
Shuai
, and
J.
Han
.
2022
.
Mosaic composition of RIP1-RIP3 signalling hub and its role in regulating cell death
.
Nat. Cell Biol.
24
:
471
482
.
Chen
,
Y.
,
L.
Zhang
,
H.
Yu
,
K.
Song
,
J.
Shi
,
L.
Chen
, and
J.
Cheng
.
2018
.
Necrostatin-1 improves long-term functional recovery through protecting oligodendrocyte precursor cells after transient focal cerebral ischemia in mice
.
Neuroscience
.
371
:
229
241
.
Clot
,
P.F.
,
C.
Farenc
,
B.T.
Suratt
,
T.
Krahnke
,
A.
Tardat
,
P.
Florian
,
R.
Pomponio
,
N.
Patel
,
M.
Wiekowski
,
Y.
Lin
, et al
.
2024
.
Immunomodulatory and clinical effects of receptor-interacting protein kinase 1 (RIPK1) inhibitor eclitasertib (SAR443122) in patients with severe COVID-19: A phase 1b, randomized, double-blinded, placebo-controlled study
.
Respir. Res.
25
:
107
.
Dannappel
,
M.
,
K.
Vlantis
,
S.
Kumari
,
A.
Polykratis
,
C.
Kim
,
L.
Wachsmuth
,
C.
Eftychi
,
J.
Lin
,
T.
Corona
,
N.
Hermance
, et al
.
2014
.
RIPK1 maintains epithelial homeostasis by inhibiting apoptosis and necroptosis
.
Nature
.
513
:
90
94
.
Degterev
,
A.
,
J.
Hitomi
,
M.
Germscheid
,
I.L.
Ch'en
,
O.
Korkina
,
X.
Teng
,
D.
Abbott
,
G.D.
Cuny
,
C.
Yuan
,
G.
Wagner
, et al
.
2008
.
Identification of RIP1 kinase as a specific cellular target of necrostatins
.
Nat. Chem. Biol.
4
:
313
321
.
Dillon
,
C.P.
,
R.
Weinlich
,
D.A.
Rodriguez
,
J.G.
Cripps
,
G.
Quarato
,
P.
Gurung
,
K.C.
Verbist
,
T.L.
Brewer
,
F.
Llambi
,
Y.N.
Gong
, et al
.
2014
.
RIPK1 blocks early postnatal lethality mediated by caspase-8 and RIPK3
.
Cell
.
157
:
1189
1202
.
Dondelinger
,
Y.
,
T.
Delanghe
,
D.
Priem
,
M.A.
Wynosky-Dolfi
,
D.
Sorobetea
,
D.
Rojas-Rivera
,
P.
Giansanti
,
R.
Roelandt
,
J.
Gropengiesser
,
K.
Ruckdeschel
, et al
.
2019
.
Serine 25 phosphorylation inhibits RIPK1 kinase-dependent cell death in models of infection and inflammation
.
Nat. Commun.
10
:
1729
.
Dondelinger
,
Y.
,
T.
Delanghe
,
D.
Rojas-Rivera
,
D.
Priem
,
T.
Delvaeye
,
I.
Bruggeman
,
F.
Van Herreweghe
,
P.
Vandenabeele
, and
M.J.M.
Bertrand
.
2017
.
MK2 phosphorylation of RIPK1 regulates TNF-mediated cell death
.
Nat. Cell Biol.
19
:
1237
1247
.
Dondelinger
,
Y.
,
S.
Jouan-Lanhouet
,
T.
Divert
,
E.
Theatre
,
J.
Bertin
,
P.J.
Gough
,
P.
Giansanti
,
A.J.R.
Heck
,
E.
Dejardin
,
P.
Vandenabeele
, and
M.J.M.
Bertrand
.
2015
.
NF-κB-Independent role of IKKα/IKKβ in preventing RIPK1 kinase-dependent apoptotic and necroptotic cell death during TNF signaling
.
Mol. Cell
.
60
:
63
76
.
Duprez
,
L.
,
N.
Takahashi
,
F.
Van Hauwermeiren
,
B.
Vandendriessche
,
V.
Goossens
,
T.
Vanden Berghe
,
W.
Declercq
,
C.
Libert
,
A.
Cauwels
, and
P.
Vandenabeele
.
2011
.
RIP kinase-dependent necrosis drives lethal systemic inflammatory response syndrome
.
Immunity
.
35
:
908
918
.
Eren
,
R.O.
,
G.G.
Kaya
,
R.
Schwarzer
, and
M.
Pasparakis
.
2024
.
IKKε and TBK1 prevent RIPK1 dependent and independent inflammation
.
Nat. Commun.
15
:
130
.
Geng
,
J.
,
Y.
Ito
,
L.
Shi
,
P.
Amin
,
J.
Chu
,
A.T.
Ouchida
,
A.K.
Mookhtiar
,
H.
Zhao
,
D.
Xu
,
B.
Shan
, et al
.
2017
.
Regulation of RIPK1 activation by TAK1-mediated phosphorylation dictates apoptosis and necroptosis
.
Nat. Commun.
8
:
359
.
Hafner
,
M.
,
J.
Wenk
,
A.
Nenci
,
M.
Pasparakis
,
K.
Scharffetter-Kochanek
,
N.
Smyth
,
T.
Peters
,
D.
Kess
,
O.
Holtkötter
,
P.
Shephard
, et al
.
2004
.
Keratin 14 Cre transgenic mice authenticate keratin 14 as an oocyte-expressed protein
.
Genesis
.
38
:
176
181
.
Hamilton
,
G.L.
,
H.
Chen
,
G.
Deshmukh
,
C.
Eigenbrot
,
R.
Fong
,
A.
Johnson
,
P.B.
Kohli
,
P.J.
Lupardus
,
B.M.
Liederer
,
S.
Ramaswamy
, et al
.
2019
.
Potent and selective inhibitors of receptor-interacting protein kinase 1 that lack an aromatic back pocket group
.
Bioorg. Med. Chem. Lett.
29
:
1497
1501
.
Han
,
T.
,
C.
Ruan
,
H.
Lin
,
Y.
Zhang
,
L.
Li
,
Y.-h.
Sun
,
C.-Q.
Zhong
,
X.
Chen
,
K.
Huang
,
Y.
Cao
, et al
.
2025
.
RIPK1 S161 phosphorylation promotes further autophosphorylation and cecal necroptosis in TNF-treated mice
.
J. Exp. Med.
Harris
,
P.A.
,
S.B.
Berger
,
J.U.
Jeong
,
R.
Nagilla
,
D.
Bandyopadhyay
,
N.
Campobasso
,
C.A.
Capriotti
,
J.A.
Cox
,
L.
Dare
,
X.
Dong
, et al
.
2017
.
Discovery of a first-in-class receptor interacting protein 1 (RIP1) kinase specific clinical candidate (GSK2982772) for the treatment of inflammatory diseases
.
J. Med. Chem.
60
:
1247
1261
.
Harris
,
P.A.
,
N.
Faucher
,
N.
George
,
P.M.
Eidam
,
B.W.
King
,
G.V.
White
,
N.A.
Anderson
,
D.
Bandyopadhyay
,
A.M.
Beal
,
V.
Beneton
, et al
.
2019
.
Discovery and lead-optimization of 4,5-Dihydropyrazoles as mono-kinase selective, orally bioavailable and efficacious inhibitors of receptor interacting protein 1 (RIP1) kinase
.
J. Med. Chem.
62
:
5096
5110
.
Hincelin-Mery
,
A.
,
X.
Nicolas
,
C.
Cantalloube
,
R.
Pomponio
,
P.
Lewanczyk
,
M.
Benamor
,
D.
Ofengeim
,
E.
Krupka
,
J.
Hsiao-Nakamoto
,
A.
Eastenson
, and
N.
Atassi
.
2024
.
Safety, pharmacokinetics, and target engagement of a brain penetrant RIPK1 inhibitor, SAR443820 (DNL788), in healthy adult participants
.
Clin. Transl. Sci.
17
:e13690.
Imai
,
T.
,
J.
Lin
,
G.G.
Kaya
,
E.
Ju
,
V.
Kondylis
,
K.
Kelepouras
,
G.
Liccardi
,
C.
Kim
, and
M.
Pasparakis
.
2024
.
The RIPK1 death domain restrains ZBP1- and TRIF-mediated cell death and inflammation
.
Immunity
.
57
:
1497
1513.e6
.
Jaco
,
I.
,
A.
Annibaldi
,
N.
Lalaoui
,
R.
Wilson
,
T.
Tenev
,
L.
Laurien
,
C.
Kim
,
K.
Jamal
,
S.
Wicky John
,
G.
Liccardi
, et al
.
2017
.
MK2 phosphorylates RIPK1 to prevent TNF-induced cell death
.
Mol. Cell
.
66
:
698
710.e5
.
Jetton
,
D.
,
H.I.
Muendlein
,
W.M.
Connolly
,
Z.
Magri
,
I.
Smirnova
,
R.
Batorsky
,
J.
Mecsas
,
A.
Degterev
, and
A.
Poltorak
.
2024
.
Non-canonical autophosphorylation of RIPK1 drives timely pyroptosis to control Yersinia infection
.
Cell Rep.
43
:
114641
.
Jones
,
N.S.
,
S.
Kshirsagar
,
V.
Mohanan
,
V.
Ramakrishnan
,
F.
Di Nucci
,
L.
Ma
,
J.
Mao
,
H.
Ding
,
S.
Klabunde
,
D.
Vucic
, et al
.
2023
.
A phase I, randomized, ascending-dose study to assess safety, pharmacokinetics, and activity of GDC-8264, a RIP1 inhibitor, in healthy volunteers
.
Clin. Transl. Sci.
16
:
1997
2009
.
Kaiser
,
W.J.
,
L.P.
Daley-Bauer
,
R.J.
Thapa
,
P.
Mandal
,
S.B.
Berger
,
C.
Huang
,
A.
Sundararajan
,
H.
Guo
,
L.
Roback
,
S.H.
Speck
, et al
.
2014
.
RIP1 suppresses innate immune necrotic as well as apoptotic cell death during mammalian parturition
.
Proc. Natl. Acad. Sci. USA
.
111
:
7753
7758
.
Kelliher
,
M.A.
,
S.
Grimm
,
Y.
Ishida
,
F.
Kuo
,
B.Z.
Stanger
, and
P.
Leder
.
1998
.
The death domain kinase RIP mediates the TNF-induced NF-kappaB signal
.
Immunity
.
8
:
297
303
.
Kondylis
,
V.
, and
M.
Pasparakis
.
2019
.
RIP kinases in liver cell death, inflammation and cancer
.
Trends Mol. Med.
25
:
47
63
.
Kondylis
,
V.
,
A.
Polykratis
,
H.
Ehlken
,
L.
Ochoa-Callejero
,
B.K.
Straub
,
S.
Krishna-Subramanian
,
T.M.
Van
,
H.M.
Curth
,
N.
Heise
,
F.
Weih
, et al
.
2015
.
NEMO prevents steatohepatitis and hepatocellular carcinoma by inhibiting RIPK1 kinase activity-mediated hepatocyte apoptosis
.
Cancer Cell
.
28
:
830
.
Kumari
,
S.
,
M.C.
Bonnet
,
M.H.
Ulvmar
,
K.
Wolk
,
N.
Karagianni
,
E.
Witte
,
C.
Uthoff-Hachenberg
,
J.C.
Renauld
,
G.
Kollias
,
R.
Toftgard
, et al
.
2013
.
Tumor necrosis factor receptor signaling in keratinocytes triggers interleukin-24-dependent psoriasis-like skin inflammation in mice
.
Immunity
.
39
:
899
911
.
Kumari
,
S.
,
Y.
Redouane
,
J.
Lopez-Mosqueda
,
R.
Shiraishi
,
M.
Romanowska
,
S.
Lutzmayer
,
J.
Kuiper
,
C.
Martinez
,
I.
Dikic
,
M.
Pasparakis
, and
F.
Ikeda
.
2014
.
Sharpin prevents skin inflammation by inhibiting TNFR1-induced keratinocyte apoptosis
.
Elife
.
3
:e03422.
Kumari
,
S.
,
T.M.
Van
,
D.
Preukschat
,
H.
Schuenke
,
M.
Basic
,
A.
Bleich
,
U.
Klein
, and
M.
Pasparakis
.
2021
.
NF-kappaB inhibition in keratinocytes causes RIPK1-mediated necroptosis and skin inflammation
.
Life Sci. Alliance
.
4
:e202000956.
Lafont
,
E.
,
P.
Draber
,
E.
Rieser
,
M.
Reichert
,
S.
Kupka
,
D.
de Miguel
,
H.
Draberova
,
A.
von Mässenhausen
,
A.
Bhamra
,
S.
Henderson
, et al
.
2018
.
TBK1 and IKKε prevent TNF-induced cell death by RIPK1 phosphorylation
.
Nat. Cell Biol.
20
:
1389
1399
.
Laurien
,
L.
,
M.
Nagata
,
H.
Schünke
,
T.
Delanghe
,
J.L.
Wiederstein
,
S.
Kumari
,
R.
Schwarzer
,
T.
Corona
,
M.
Krüger
,
M.J.M.
Bertrand
, et al
.
2020
.
Autophosphorylation at serine 166 regulates RIP kinase 1-mediated cell death and inflammation
.
Nat. Commun.
11
:
1747
.
Li
,
W.
, and
J.
Yuan
.
2023
.
Targeting RIPK1 kinase for modulating inflammation in human diseases
.
Front. Immunol.
14
:
1159743
.
Lickliter
,
J.
,
S.
Wang
,
W.
Zhang
,
H.
Zhu
,
J.
Wang
,
C.
Zhao
,
H.
Shen
, and
Y.
Wang
.
2023
.
A phase I randomized, double-blinded, placebo-controlled study assessing the safety and pharmacokinetics of RIPK1 inhibitor GFH312 in healthy subjects
.
Clin. Transl. Sci.
16
:
1691
1703
.
Lin
,
J.
,
S.
Kumari
,
C.
Kim
,
T.M.
Van
,
L.
Wachsmuth
,
A.
Polykratis
, and
M.
Pasparakis
.
2016
.
RIPK1 counteracts ZBP1-mediated necroptosis to inhibit inflammation
.
Nature
.
540
:
124
128
.
Ludbrook
,
V.J.
,
D.C.
Budd
,
K.
Thorn
,
D.
Tompson
,
B.J.
Votta
,
L.
Walker
,
A.
Lee
,
X.
Chen
,
A.
Peppercorn
, and
W.J.
Loo
.
2024
.
Inhibition of receptor-interacting protein kinase 1 in chronic plaque psoriasis: A multicenter, randomized, double-blind, placebo-controlled study
.
Dermatol. Ther.
14
:
489
504
.
Menon
,
M.B.
,
J.
Gropengießer
,
J.
Fischer
,
L.
Novikova
,
A.
Deuretzbacher
,
J.
Lafera
,
H.
Schimmeck
,
N.
Czymmeck
,
N.
Ronkina
,
A.
Kotlyarov
, et al
.
2017
.
p38(MAPK)/MK2-dependent phosphorylation controls cytotoxic RIPK1 signalling in inflammation and infection
.
Nat. Cell Biol.
19
:
1248
1259
.
Naito
,
M.G.
,
D.
Xu
,
P.
Amin
,
J.
Lee
,
H.
Wang
,
W.
Li
,
M.
Kelliher
,
M.
Pasparakis
, and
J.
Yuan
.
2020
.
Sequential activation of necroptosis and apoptosis cooperates to mediate vascular and neural pathology in stroke
.
Proc. Natl. Acad. Sci. USA
.
117
:
4959
4970
.
Newton
,
K.
2020
.
Multitasking kinase RIPK1 regulates cell death and inflammation
.
Cold Spring Harb. Perspect. Biol.
12
:
a036368
.
Newton
,
K.
,
D.L.
Dugger
,
A.
Maltzman
,
J.M.
Greve
,
M.
Hedehus
,
B.
Martin-McNulty
,
R.A.D.
Carano
,
T.C.
Cao
,
N.
van Bruggen
,
L.
Bernstein
, et al
.
2016a
.
RIPK3 deficiency or catalytically inactive RIPK1 provides greater benefit than MLKL deficiency in mouse models of inflammation and tissue injury
.
Cell Death Differ.
23
:
1565
1576
.
Newton
,
K.
,
K.E.
Wickliffe
,
A.
Maltzman
,
D.L.
Dugger
,
A.
Strasser
,
V.C.
Pham
,
J.R.
Lill
,
M.
Roose-Girma
,
S.
Warming
,
M.
Solon
, et al
.
2016b
.
RIPK1 inhibits ZBP1-driven necroptosis during development
.
Nature
.
540
:
129
133
.
Ofengeim
,
D.
,
Y.
Ito
,
A.
Najafov
,
Y.
Zhang
,
B.
Shan
,
J.P.
DeWitt
,
J.
Ye
,
X.
Zhang
,
A.
Chang
,
H.
Vakifahmetoglu-Norberg
, et al
.
2015
.
Activation of necroptosis in multiple sclerosis
.
Cell Rep.
10
:
1836
1849
.
Ofengeim
,
D.
,
S.
Mazzitelli
,
Y.
Ito
,
J.P.
DeWitt
,
L.
Mifflin
,
C.
Zou
,
S.
Das
,
X.
Adiconis
,
H.
Chen
,
H.
Zhu
, et al
.
2017
.
RIPK1 mediates a disease-associated microglial response in Alzheimer's disease
.
Proc. Natl. Acad. Sci. USA
.
114
:
E8788
E8797
.
Pasparakis
,
M.
,
G.
Courtois
,
M.
Hafner
,
M.
Schmidt-Supprian
,
A.
Nenci
,
A.
Toksoy
,
M.
Krampert
,
M.
Goebeler
,
R.
Gillitzer
,
A.
Israel
, et al
.
2002
.
TNF-mediated inflammatory skin disease in mice with epidermis-specific deletion of IKK2
.
Nature
.
417
:
861
866
.
Pasparakis
,
M.
, and
P.
Vandenabeele
.
2015
.
Necroptosis and its role in inflammation
.
Nature
.
517
:
311
320
.
Patel
,
S.
,
J.D.
Webster
,
E.
Varfolomeev
,
Y.C.
Kwon
,
J.H.
Cheng
,
J.
Zhang
,
D.L.
Dugger
,
K.E.
Wickliffe
,
A.
Maltzman
,
S.
Sujatha-Bhaskar
, et al
.
2020
.
RIP1 inhibition blocks inflammatory diseases but not tumor growth or metastases
.
Cell Death Differ.
27
:
161
175
.
Polykratis
,
A.
,
N.
Hermance
,
M.
Zelic
,
J.
Roderick
,
C.
Kim
,
T.M.
Van
,
T.H.
Lee
,
F.K.M.
Chan
,
M.
Pasparakis
, and
M.A.
Kelliher
.
2014
.
Cutting edge: RIPK1 kinase inactive mice are viable and protected from TNF-induced necroptosis in vivo
.
J. Immunol.
193
:
1539
1543
.
Polykratis
,
A.
,
A.
Martens
,
R.O.
Eren
,
Y.
Shirasaki
,
M.
Yamagishi
,
Y.
Yamaguchi
,
S.
Uemura
,
M.
Miura
,
B.
Holzmann
,
G.
Kollias
, et al
.
2019
.
A20 prevents inflammasome-dependent arthritis by inhibiting macrophage necroptosis through its ZnF7 ubiquitin-binding domain
.
Nat. Cell Biol.
21
:
731
742
.
Rickard
,
J.A.
,
H.
Anderton
,
N.
Etemadi
,
U.
Nachbur
,
M.
Darding
,
N.
Peltzer
,
N.
Lalaoui
,
K.E.
Lawlor
,
H.
Vanyai
,
C.
Hall
, et al
.
2014a
.
TNFR1-dependent cell death drives inflammation in Sharpin-deficient mice
.
Elife
.
3
:e03464.
Rickard
,
J.A.
,
J.A.
O'Donnell
,
J.M.
Evans
,
N.
Lalaoui
,
A.R.
Poh
,
T.
Rogers
,
J.E.
Vince
,
K.E.
Lawlor
,
R.L.
Ninnis
,
H.
Anderton
, et al
.
2014b
.
RIPK1 regulates RIPK3-MLKL-driven systemic inflammation and emergency hematopoiesis
.
Cell
.
157
:
1175
1188
.
Schünke
,
H.
,
U.
Göbel
,
I.
Dikic
, and
M.
Pasparakis
.
2021
.
OTULIN inhibits RIPK1-mediated keratinocyte necroptosis to prevent skin inflammation in mice
.
Nat. Commun.
12
:
5912
.
Schwarzer
,
R.
,
H.
Jiao
,
L.
Wachsmuth
,
A.
Tresch
, and
M.
Pasparakis
.
2020
.
FADD and caspase-8 regulate gut homeostasis and inflammation by controlling MLKL- and GSDMD-mediated death of intestinal epithelial cells
.
Immunity
.
52
:
978
993.e6
.
Seymour
,
R.E.
,
M.G.
Hasham
,
G.A.
Cox
,
L.D.
Shultz
,
H.
Hogenesch
,
D.C.
Roopenian
, and
J.P.
Sundberg
.
2007
.
Spontaneous mutations in the mouse Sharpin gene result in multiorgan inflammation, immune system dysregulation and dermatitis
.
Genes Immun.
8
:
416
421
.
Sheridan
,
C.
2019
.
Death by inflammation: Drug makers chase the master controller
.
Nat. Biotechnol.
37
:
111
113
.
Sun
,
A.L.A.
,
J.D.
Gillies
,
Y.
Shen
,
H.
Deng
,
F.
Xue
,
Y.
Ma
, and
L.
Song
.
2024
.
A phase I randomized study to evaluate safety, pharmacokinetics, and pharmacodynamics of SIR2446M, a selective RIPK1 inhibitor, in healthy participants
.
Clin. Transl. Sci.
17
:e13857.
Takahashi
,
N.
,
L.
Vereecke
,
M.J.M.
Bertrand
,
L.
Duprez
,
S.B.
Berger
,
T.
Divert
,
A.
Gonçalves
,
M.
Sze
,
B.
Gilbert
,
S.
Kourula
, et al
.
2014
.
RIPK1 ensures intestinal homeostasis by protecting the epithelium against apoptosis
.
Nature
.
513
:
95
99
.
Van Gorp
,
H.
,
P.H.V.
Saavedra
,
N.M.
de Vasconcelos
,
N.
Van Opdenbosch
,
L.
Vande Walle
,
M.
Matusiak
,
G.
Prencipe
,
A.
Insalaco
,
F.
Van Hauwermeiren
,
D.
Demon
, et al
.
2016
.
Familial Mediterranean fever mutations lift the obligatory requirement for microtubules in Pyrin inflammasome activation
.
Proc. Natl. Acad. Sci. USA
.
113
:
14384
14389
.
Varfolomeev
,
E.
, and
D.
Vucic
.
2022
.
RIP1 post-translational modifications
.
Biochem. J.
479
:
929
951
.
Vissers
,
M.F.J.M.
,
J.A.A.C.
Heuberger
,
G.J.
Groeneveld
,
J.
Oude Nijhuis
,
P.P.
De Deyn
,
S.
Hadi
,
J.
Harris
,
R.M.
Tsai
,
A.
Cruz-Herranz
,
F.
Huang
, et al
.
2022
.
Safety, pharmacokinetics and target engagement of novel RIPK1 inhibitor SAR443060 (DNL747) for neurodegenerative disorders: Randomized, placebo-controlled, double-blind phase I/Ib studies in healthy subjects and patients
.
Clin. Transl. Sci.
15
:
2010
2023
.
Vlantis
,
K.
,
A.
Wullaert
,
A.
Polykratis
,
V.
Kondylis
,
M.
Dannappel
,
R.
Schwarzer
,
P.
Welz
,
T.
Corona
,
H.
Walczak
,
F.
Weih
, et al
.
2016
.
NEMO prevents RIP kinase 1-mediated epithelial cell death and chronic intestinal inflammation by NF-κB-Dependent and -independent functions
.
Immunity
.
44
:
553
567
.
Wang
,
X.
,
W.
Jiang
,
Y.
Yan
,
T.
Gong
,
J.
Han
,
Z.
Tian
, and
R.
Zhou
.
2014
.
RNA viruses promote activation of the NLRP3 inflammasome through a RIP1-RIP3-DRP1 signaling pathway
.
Nat. Immunol.
15
:
1126
1133
.
Wegner
,
K.W.
,
D.
Saleh
, and
A.
Degterev
.
2017
.
Complex pathologic roles of RIPK1 and RIPK3: Moving beyond necroptosis
.
Trends Pharmacol. Sci.
38
:
202
225
.
Weisel
,
K.
,
S.
Berger
,
K.
Papp
,
C.
Maari
,
J.G.
Krueger
,
N.
Scott
,
D.
Tompson
,
S.
Wang
,
M.
Simeoni
,
J.
Bertin
, and
P.
Peter Tak
.
2020
.
Response to inhibition of receptor-interacting protein kinase 1 (RIPK1) in active plaque psoriasis: A randomized placebo-controlled study
.
Clin. Pharmacol. Ther.
108
:
808
816
.
Weisel
,
K.
,
S.
Berger
,
K.
Thorn
,
P.C.
Taylor
,
C.
Peterfy
,
H.
Siddall
,
D.
Tompson
,
S.
Wang
,
E.
Quattrocchi
,
S.W.
Burriss
, et al
.
2021a
.
A randomized, placebo-controlled experimental medicine study of RIPK1 inhibitor GSK2982772 in patients with moderate to severe rheumatoid arthritis
.
Arthritis Res. Ther.
23
:
85
.
Weisel
,
K.
,
N.
Scott
,
S.
Berger
,
S.
Wang
,
K.
Brown
,
M.
Powell
,
M.
Broer
,
C.
Watts
,
D.J.
Tompson
,
S.W.
Burriss
, et al
.
2021b
.
A randomised, placebo-controlled study of RIPK1 inhibitor GSK2982772 in patients with active ulcerative colitis
.
BMJ Open Gastroenterol.
8
:e000680.
Weisel
,
K.
,
N.E.
Scott
,
D.J.
Tompson
,
B.J.
Votta
,
S.
Madhavan
,
K.
Povey
,
A.
Wolstenholme
,
M.
Simeoni
,
T.
Rudo
,
L.
Richards-Peterson
, et al
.
2017
.
Randomized clinical study of safety, pharmacokinetics, and pharmacodynamics of RIPK1 inhibitor GSK2982772 in healthy volunteers
.
Pharmacol. Res. Perspect.
5
:e00365.
Wu
,
J.
,
F.
Powell
,
N.A.
Larsen
,
Z.
Lai
,
K.F.
Byth
,
J.
Read
,
R.F.
Gu
,
M.
Roth
,
D.
Toader
,
J.C.
Saeh
, and
H.
Chen
.
2013
.
Mechanism and in vitro pharmacology of TAK1 inhibition by (5Z)-7-Oxozeaenol
.
ACS Chem. Biol.
8
:
643
650
.
Xu
,
D.
,
T.
Jin
,
H.
Zhu
,
H.
Chen
,
D.
Ofengeim
,
C.
Zou
,
L.
Mifflin
,
L.
Pan
,
P.
Amin
,
W.
Li
, et al
.
2018
.
TBK1 suppresses RIPK1-driven apoptosis and inflammation during development and in aging
.
Cell
.
174
:
1477
1491.e19
.
Zhang
,
Y.
,
S.S.
Su
,
S.
Zhao
,
Z.
Yang
,
C.Q.
Zhong
,
X.
Chen
,
Q.
Cai
,
Z.H.
Yang
,
D.
Huang
,
R.
Wu
, and
J.
Han
.
2017
.
RIP1 autophosphorylation is promoted by mitochondrial ROS and is essential for RIP3 recruitment into necrosome
.
Nat. Commun.
8
:
14329
.

Author notes

*

L. Koerner and X. Li contributed equally to this paper.

**

L. Laurien and M. Pasparakis share senior authorship.

Disclosures: The authors declare no competing interests exist.

This article is available under a Creative Commons License (Attribution 4.0 International, as described at https://creativecommons.org/licenses/by/4.0/).