Cytokines produced in association with tumors can impair antitumor immune responses by reducing the abundance of type 1 conventional dendritic cells (cDC1), but the mechanism remains unclear. Here, we show that tumor-derived IL-6 generally reduces cDC development but selectively impairs cDC1 development in both murine and human systems through the induction of C/EBPβ in the common dendritic cell progenitor (CDP). C/EBPβ and NFIL3 compete for binding to sites in the Zeb2 −165 kb enhancer and support or repress Zeb2 expression, respectively. At homeostasis, pre-cDC1 specification occurs upon Nfil3 induction and consequent Zeb2 suppression. However, IL-6 strongly induces C/EBPβ expression in CDPs. Importantly, the ability of IL-6 to impair cDC development is dependent on the presence of C/EBPβ binding sites in the Zeb2 −165 kb enhancer, as this effect is lost in Δ1+2+3 mutant mice in which these binding sites are mutated. These results explain how tumor-associated IL-6 suppresses cDC1 development and suggest therapeutic approaches preventing abnormal C/EBPβ induction in CDPs may help reestablish cDC1 development to enhance antitumor immunity.

Type 1 conventional dendritic cells (cDC1s) are important for priming CD8+ T cells against many viruses and tumors due to their highly efficient cross-presentation of cell-associated antigens (Böttcher and Reis e Sousa, 2018; Anderson et al., 2018). The specialized ability of this subset for cross-presentation was first recognized by in vitro induction of T cell proliferation of DCs loaded with antigens in vivo (den Haan et al., 2000). The availability of mouse models in which cDC1s fail to develop confirmed their critical role in both antiviral and antitumor immunity (Hildner et al., 2008; Durai et al., 2019). Development of cDC1 relies on a transcriptional cascade involving several transcription factors, including Nfil3, Zeb2, Id2, Batf3, and Irf8 (Grajales-Reyes et al., 2015; Bagadia et al., 2019; Liu et al., 2022). cDC1 development is initiated within the common DC progenitor (CDP; Naik et al., 2007; Onai et al., 2007) and proceeds through stages of specification and commitment for the cDC1 and cDC2 lineages in both mouse and human (Grajales-Reyes et al., 2015; Schlitzer et al., 2015; Breton et al., 2015). In the mouse, committed pre-cDC1 progenitors were identified at homeostasis by two studies that described different approaches for their isolation (Grajales-Reyes et al., 2015; Schlitzer et al., 2015). One study emphasized the importance of the intermediate level of cKit expression for the pre-cDC1 progenitor (Grajales-Reyes et al., 2015), while the other was agnostic to cKit, but emphasized the lack of Ly6C and SiglecH (Schlitzer et al., 2015). The relevance of these differences for identifying cDC1 progenitors in various settings beyond homeostasis has not been examined.

Recent studies have found that the cDC1 subset can be reduced or depleted in the setting of certain tumors (Meyer et al., 2018; Hegde et al., 2020; Lin et al., 2020). In one study, the reduction in cDC1 was caused by loss of the specified pre-cDC1 progenitor using only one of the definitions of the pre-cDC1 progenitor (Grajales-Reyes et al., 2015). Reduced cDC1 development in this study was associated with impaired antitumor immune responses and was present in both the PyMT-B6 mammary tumor model and the KPC (p48-Cre; LSL-KrasG12DTrp53flox/+) model of pancreatic cancer (Meyer et al., 2018). Tumor cell production of granulocyte-colony stimulating factor (G-CSF) was reported as responsible for inhibition of cDC1 development in the PyMT-B6 tumor model, which correlated with reduced interferon regulatory factor 8 (IRF8) expression in the bone marrow (BM) progenitors. Antitumor responses could be restored by increasing cDC1 production through the administration of FMS-like tyrosine kinase 3 ligand (Flt3L; Hegde et al., 2020). However, this study did not identify the precise mechanism by which the pre-cDC1 was eliminated.

Another study also observed significantly reduced cDC1 numbers occurring in the KPC pancreatic cancer model (Pdx1-Cre; KrasLSL-G12D/+Trp53LSL-R172H/+) that resulted from elevated serum IL-6 (Lin et al., 2020). This study attributed the loss of cDC1 to increased cell death of mature cDC1 in peripheral tissues and not to a defect in cDC1 development. However, this study identified pre-cDC1s as defined by negative Ly6C and SiglecH expression (Schlitzer et al., 2015) and not on the basis of cKit levels (Grajales-Reyes et al., 2015). Thus, while these studies agree that cDC1s are reduced in the KPC pancreatic cancer model, they disagree on the mechanism. However, this disagreement relies on distinct gating schemes to identify pre-cDC1, which were defined only under homeostatic conditions.

We recently identified novel roles for CCAAT-enhancer-binding protein (C/EBP) transcription factors in the divergence of the CDP into pre-cDC1 and pre-cDC2 progenitors (Liu et al., 2022). We showed that C/EBPα and C/EBPβ bind to −165 kb enhancer of Zeb2 (Zinc-finger E-box binding homeobox 2; Huang et al., 2021) and act to support cDC2 development and inhibit pre-cDC1 development by blocking binding of the repressor nuclear factor, IL-3 regulated (NFIL3; Liu et al., 2022). C/EBPβ was identified as both being induced by IL-6 as well as inducing Il6 transcription (Akira et al., 1990). However, the ability of IL-6 to alter C/EBPβ expression in DC progenitors has not been studied and its impact on cDC1 development is unclear. Therefore, we wondered whether the systemic IL-6 observed in certain murine cancer models (Meyer et al., 2018; Lin et al., 2020) could act to induce C/EBPβ in BM progenitors and thereby interfere with NFIL3-dependent cDC1 specification.

Tumor-derived IL-6 inhibits cDC1 development

We first tested whether IL-6 impacted in vitro cDC1 development from sort-purified BM progenitors (Fig. 1, A–D). In mouse CDPs, IL-6 caused a dose-dependent reduction in cDC1 development with complete abrogation at 5 ng/ml (Fig. 1, A and B). IL-6 caused a slight reduction in total cDCs but selectively abrogated cDC1 while sparing cDC2 development (Fig. 1 B). In mouse monocyte-dendritic cell progenitors (MDPs), IL-6 similarly abrogated cDC1 development but also induced Ly6C+ M-CSFR+ MerTK monocyte development at the expense of total cDCs (Fig. S1 A). We next asked if IL-6 affected human cDC1 development. cDC1 can be generated from CD34+ human cord blood cells cultured with stem cell factor (SCF), Flt3L, granulocyte-macrophage colony-stimulating factor (GM-CSF), and IL-4 (Fig. 1 C). We found that addition of IL-6 caused a dose-dependent inhibition of cDC1 in these conditions (Fig. 1, C and D).

To test whether IL-6 influences cDC1 development in vivo, we generated an EL4 lymphoblast cell line that expresses IL-6 by stable retroviral transduction (EL4-IL-6) and a control EL4 cell line (EL4-empty). IL-6 production was validated by intracellular staining (Fig. S1 B). Conditioned media (CM) from EL4-IL-6, but not EL4-empty, suppressed in vitro cDC1 development as above (Fig. S1 C). We inoculated EL4-IL-6 and EL4-empty into Zbtb46egfp/+ mice, in which EGFP is expressed in cDC1 progenitors and cDC1s, and tested for loss of cDC1 (Fig. 1, E and F; and Fig. S1, D–G). Notably, we found a severe reduction in splenic cDC1 specific to EL4-IL-6–inoculated mice with an overall reduction in total cDC numbers including a partial reduction of cDC2 (Fig. 1 E; and Fig. S1, D and F). A similar and severe reduction in resident cDC1 numbers was also observed in mesenteric lymph nodes (MLNs; Fig. 1 F; and Fig. S1, E and G).

To test the biological relevance of reduced cDC1 numbers caused by EL4-IL-6, we measured in vivo priming of OT-I and OT-II cells in response to immunization with cell-associated antigens (Fig. 1, G and H). We reported recently that cDC1 is required for both CD8 and CD4 T cell priming in response to cell-associated antigens (Ferris et al., 2020). Mice harboring EL4-IL-6 showed a nearly complete loss of in vivo OT-I and OT-II proliferation, in contrast to the robust OT-I and OT-II proliferation in mice bearing EL4-empty tumors or PBS-treated control mice (Fig. 1, G and H). These results indicate that the loss of cDC1 caused by IL-6 causes a biologically relevant defect in T cell priming in response to cell-associated antigens.

IL-6 blocks CDP specification toward pre-cDC1

Two studies identified pre-cDC1 progenitors in BM by FACS using different approaches (Grajales-Reyes et al., 2015; Schlitzer et al., 2015). One study identified the pre-cDC1 as either lin SiglecH Flt3+ CD11c+ cKitint MHCIIint CD24+ BM cells, or (using the Zbtb46egfp reporter mouse) as lin SiglecH Flt3+ CD11c+ cKitint MHCIIintZbtb46-EGFP+ BM cells (Grajales-Reyes et al., 2015). By contrast, a second study defined the pre-cDC1 as lin CD11c+ MHCII Flt3+ Sirpα SiglecH Ly6C BM cells (Schlitzer et al., 2015). These alternative definitions differ in their use of cKit expression, the level of MHCII expression, and by reliance on either CD24 or Zbtb46-EGFP in place of Sirpα and Ly6C.

Previously we reported that the pre-cDC1 is an MHCIIint BM population (Grajales-Reyes et al., 2015). In agreement, we now find that the Lin cKitintZbtb46-EGFP+ BM population, which contains CDPs committed to the cDC1 lineage (Bagadia et al., 2019) as well as the previously defined pre-cDC1 (Grajales-Reyes et al., 2015), is composed of both MHCII+ and MHCII cells (Fig. S2 A). Thus, defining pre-cDC1 as MHCII BM cells (Schlitzer et al., 2015) may reduce the yield of pre-cDC1, depending on the stringency for excluding MHCIIint progenitors.

We also asked whether cKit expression was an important factor in defining the pre-cDC1 (Fig. 2, A–C). The pre-cDC1 (R1) defined by cKitint expression (Grajales-Reyes et al., 2015) generated 95% cDC1, 5% cDC2, and 0% plasmacytoid DCs (pDCs) when cultured in Flt3L (Fig. 2, A and C). By contrast, the pre-cDC1 (R2), defined as SiglecH Ly6C pre-cDCs (Schlitzer et al., 2015), was heterogeneous for cKit expression, containing equal components of cKit and cKitint populations (Fig. 2 B). We examined the lineage potential of these populations in the R2 gate using cell sorting and Flt3L cultures (Fig. 2 C). The cKitint fraction of this pre-cDC1 (R3) was uniformly positive for Zbtb46-EGFP expression and generated 96% cDC1 in Flt3L cultures, whereas the cKit fraction (R4) generated pDCs, cDC2, and MerTK+ cells, but no cDC1 (Fig. 2, B and C). Thus, the exclusion of cKit BM cells and the positive expression of Zbtb46 might be important in defining the pre-cDC1 progenitor, as reported (Grajales-Reyes et al., 2015).

We next used Zbtb46egfp reporter mice to test if tumor-derived IL-6 also blocks pre-cDC1 specification in vivo (Fig. 2, D–H). Lin KitintZbtb46-EGFP+ BM cells, containing pre-cDC1, were selectively reduced by 12 d after tumor inoculation with EL4-IL-6, but not EL4-empty cells (Fig. 2, D and E). Importantly, applying the different gating schemes to define the pre-cDC1 led to a discrepancy regarding whether IL-6 blocks pre-cDC1 specification. Using the pre-cDC1 gate defined as Kitint (R1; Grajales-Reyes et al., 2015), we found that EL4-IL-6 induced a 10-fold reduction compared with EL4-empty tumor cells (Fig. 2, F and H; and Fig. S2, B and C). By contrast, using the pre-cDC1 defined as SiglecH Ly6C pre-cDCs (R2; Schlitzer et al., 2015), we found that EL4-IL-6 caused no reduction in cell numbers compared with EL4-empty tumor cells (Lin et al., 2020; Fig. 2, G and H; and Fig. S2 C). Notably, the Kitint component of this pre-cDC1 gate (R2) showed a substantial reduction in Zbtb46-EGFP expression in EL4-IL-6 bearing mice (Fig. 2 G). Thus, we confirm that tumor-associated IL-6 reduces cDC1 abundance as reported (Lin et al., 2020), but we find a blockade in pre-cDC1 specification that was not observed previously. We show that the gating system (Schlitzer et al., 2015) previously used to identify pre-cDC1s (Lin et al., 2020) harbored cKit BM cells with cDC2 and pDC potential that persist in the presence of IL-6. Tumor-derived IL-6 also altered the MDP (Auffray et al., 2009), CDP, and committed monocyte progenitor (cMoP; Hettinger et al., 2013; Kawamura et al., 2017), which were substantially reduced specifically in EL4-IL-6 bearing mice (Fig. S2, D and E).

IL-6 induces C/EBPβ in CDPs in vitro and in vivo

Since pre-cDC1s develop from CDPs (Bagadia et al., 2019), we asked how IL-6 impacts CDP gene expression (Fig. 3 and Fig. S3, A–C). We performed RNA sequencing (RNA-seq) in sort-purified CDPs cultured in vitro in Flt3L with or without IL-6 (Fig. 3 and Fig. S3, A–C). IL-6 increased expression of many genes normally expressed by macrophages (e.g., Socs3), monocytes (e.g., Ms4a6d, Ms4a4, and Fcgr1), and granulocytes (e.g., Mmp19; Gautier et al., 2012; Fig. S3, A and B). In contrast, IL-6 reduced expression of genes normally expressed by cDC1 (e.g., Rnf144b, Clec9a, and Irf8; Miller et al., 2012; Fig. 3 A and Fig. S3, A and B). Notably, Cebpb was among the most highly induced transcription factors with IL-6 treatment (Fig. 3, A and B). Further, C/EBPβ protein expression was also highly induced by IL-6 in CDPs both in vitro (Fig. 3 C) and in vivo in mice harboring EL4-IL-6 tumors, but not EL4-empty tumors (Fig. 3, D and E). By contrast, IL-6 reduced IRF8 expression in CDPs in vitro and in vivo (Fig. 3, A–E). In CDPs cultured in Flt3L alone, IRF8 expression is bimodal, having clear high and low populations. This represents development of both cDC1 and cDC2 cells that express high or low levels of IRF8, respectively. In contrast, CDPs cultured in Flt3L and IL-6 show a uniformly low level of IRF8 expression, consistent with the loss of cDC1 development. Together, these results suggest that IL-6 might block cDC1 development by inducing C/EBPβ.

We recently reported that C/EBPβ opposed cDC1 specification by competing with NFIL3 for binding to sites in the Zeb2 −165 kb enhancer (Liu et al., 2022). Cebpb encodes both activating (liver-enriched activator proteins, LAP* and LAP) and inhibitory (liver-enriched inhibitory protein, LIP) isoforms (Descombes and Schibler, 1991), which are produced by alternative translation of the same mRNA (Calkhoven et al., 2000). To identify which isoform inhibits cDC1 development, we compared Cebpb cDNAs that encode either LAP or LIP separately for their impact on cDC1 development (Fig. 3, F and G). We found that expression of LAP, but not LIP, specifically inhibited cDC1 development, suggesting that IL-6–induced C/EBPβ acts to block cDC1 development.

IL-6–induced Cebpb blocks cDC1 development by activating the Zeb2 −165 kb enhancer

To test whether the IL-6 inhibition of cDC1 development operates through the support of Zeb2 expression by C/EBPβ, we examined the requirements for C/EBPβ binding sites in mediating the effects of IL-6. For this analysis, we used recently reported Δ1+2+3 mice, which have simultaneous mutations of the three C/EBP/NFIL3 binding sites in the Zeb2 −165 kb enhancer (Liu et al., 2022). First, we used reporter constructs to examine the effects of IL-6 on the activity of the Zeb2 −165 kb enhancer in CDPs in vitro (Fig. 4, A and B), as previously described (Durai et al., 2019; Liu et al., 2022). Briefly, we used an integrating retroviral reporter in which the EGFP reporter cassette is encoded in the bottom retroviral strand in opposite orientation to the retroviral long terminal repeat. The EGFP reporter is driven by a minimal CMV promoter (CMVmin) placed adjacent to various enhancer elements (Fig. 4 A). Sort-purified CDPs were infected with retrovirus and cultured in vitro with Flt3L with or without the addition of IL-6, and cDC development and EGFP reporter activity are assessed after 2 d. We find that IL-6 strongly increases the EGFP reporter activity of the native −165 kb enhancer (WT) in all populations. By contrast, mutation of the three C/EBP binding sites in the −165 kb enhancer (Δ1+2+3; Liu et al., 2022) reduced overall activity and prevented the increase in activity induced by IL-6 (Fig. 4, A and B).

Thus far, we found that IL-6 induces expression of C/EBPβ mRNA and protein and increases activity of the Zeb2 −165 kb enhancer. To test if IL-6 also increases C/EBPβ binding to the Zeb2 −165 kb enhancer, we considered using CUT&RUN for C/EBPβ (Skene and Henikoff, 2017). However, application of CUT&RUN to CDPs purified directly from BM was infeasible due to the insufficient numbers of cells that could be isolated (Liu et al., 2022). As an alternative approach, we generated CDP-like cell lines by culturing Hoxb8-transformed BM cells (Wang et al., 2006) in SCF and Flt3L (Fig. S3, D–F). First, such Hoxb8-transformed cells express macrophage colony-stimulating factor receptor (M-CSFR), similar to the CDP (Fig. S3 D). Second, they induce C/EBPβ in response to IL-6 treatment (Fig. S3 E), similar to the CDP (Fig. 3 C). Third, they are able to differentiate into pDCs, cDC1s, and cDC2s (Fig. S3 F), also similar to CDPs. And finally, IL-6 completely abrogates cDC1 development from these Hoxb8 cells (Fig. S3 F), similar to the effect of IL-6 on CDPs (Fig. 1, A and B).

For the above reasons, we used CUT&RUN to test the impact of IL-6 on C/EBPβ binding to the Zeb2 −165 kb enhancer in these Hoxb8-transformed CDP-like cells (Fig. S3, G and H). We first confirmed our previous result that C/EBPβ binds the Zeb2 −165 kb enhancer (Fig. S3 G), as we recently reported (Liu et al., 2022). Next, we carried out a quantitative assessment of the tag-counts for C/EBPβ binding to the −165 kb region using the HOMER command findPeaks (Heinz et al., 2010). We find that IL-6 treatment increased the normalized tag-counts for C/EBPβ binding to this region approximately twofold (Fig. S3 H). While these results may not mimic the exact setting occurring in CDPs in vivo, they suggest that increased binding of C/EBPβ to the Zeb2 −165 kb enhancer could act to prevent efficient NFIL3-driven cDC1 specification (Liu et al., 2022).

We next evaluated the direct impact of IL-6 on ZEB2 protein expression. For this, we used the ZEB2-EGFP fusion protein reporter mouse (Zeb2ZEB2-EGFP/+; Nishizaki et al., 2014) that conveys actual levels of ZEB2 protein (Fig. S4 A). We find that ZEB2-EGFP was gradually lost as CDPs were cultured with Flt3L in vitro over time. By contrast, the addition of IL-6 caused ZEB2-EGFP to be maintained over time (Fig. S4 A). Furthermore, IL-6 could completely inhibit in vitro cDC1 development of CDPs from WT mice. However, in Δ1+2+3 mice, IL-6 reduced cDC1 development only partially but allowed between 50 and 70% of cDC1 to develop (Fig. 4 C). Importantly, we show that IL-6 induced C/EBPβ equally in WT and Δ1+2+3 mice (Fig. 4 D). These results indicate that IL-6 represses cDC1 development by inducing C/EBPβ, which acts by binding the Zeb2 −165 kb enhancer and maintaining ZEB2 expression.

Finally, we validated this mechanism in vivo in the setting of tumor-derived IL-6. We inoculated WT or Δ1+2+3 mice with EL4-IL-6 or EL4-empty tumors and evaluated peripheral cDC1 development (Fig. 4 E and Fig. S4, B–D). EL4-IL-6 tumors reduced peripheral cDCs and cDC1 in WT mice, but not in Δ1+2+3 mice (Fig. S4, B and C). For this analysis, we also crossed Δ1+2+3 mice onto the Zbtb46egfp background (Satpathy et al., 2012) to enhance analysis of BM pre-cDC1 progenitors. Here, EL4-IL-6 tumors caused a severe reduction in Lin KitintZbtb46-GFP+ BM cells in WT mice, but not in Δ1+2+3 mice (Fig. S4 E). In agreement, pre-cDC1 defined Lin SiglecH Flt3+ CD11c+ cKitint MHCIIint CD24+ BM cells (Grajales-Reyes et al., 2015) were also reduced in WT mice, but not in Δ1+2+3 mice (Fig. 4 F and Fig. S4 F). In summary, our results show that tumor-derived IL-6 can systemically alter cDC development and strongly abrogate cDC1 specification by elevation of C/EBPβ expression in BM progenitors.

Finally, we tested whether the repression of T cell priming caused by IL-6 (Fig. 1, G and H) was restricted to its blockade of cDC1 development (Fig. 4, G and H). Again, WT mice harboring EL4-IL-6 tumors showed nearly complete loss of OT-I and OT-II proliferation in response to cell-associated antigen. By contrast, Δ1+2+3 mice harboring EL4-IL-6 tumors, which retain normal cDC1 development (Fig. 4 E), also showed normal priming of both OT-I and OT-II in response to cell-associated antigen (Fig. 4, G and H). Thus, the repression of T cell priming caused by IL-6 in WT mice appears to result from the loss of cDC1 rather than a pleiotropic action of IL-6 on other targets.

The purpose of this study is to provide the mechanism for a previously reported phenomenon, specifically the loss of cDC1 associated with certain tumor models that result in systemic IL-6 (Lin et al., 2020; Meyer et al., 2018). Understanding this mechanism may be important because other recent studies have suggested that neutralizing IL-6 may improve the effectiveness of checkpoint blockade immunotherapy (Hailemichael et al., 2022; Li et al., 2022). Since checkpoint blockade reportedly relies on the presence of cDC1 (Gubin et al., 2014), understanding the mechanism by which IL-6 leads to reduced cDC1 may be relevant to various settings of tumor immunotherapy. Further, cDC1s are also important in various responses to intracellular pathogens including many viruses, broadening the potential impact of conditions where IL-6 becomes systemic and alters cDC1 development. Thus, our findings reveal the mechanism of how systemic IL-6 impacts cDC1 development, rather than addressing its impact on spontaneous tumorigenesis.

Here, we show that systemic IL-6 induces C/EBPβ expression in CDPs, causing a blockade of normal NFIL3-dependent specification of the pre-cDC1 progenitor. We recently reported that cDC1 specification requires the suppression of Zeb2 in CDPs (Bagadia et al., 2019) and that the suppression of Zeb2 is mediated by transient NFIL3 expression in a fraction of CDPs (Liu et al., 2022). This suppression of Zeb2 by NFIL3 is mediated by binding to three sites in the Zeb2 −165 kb enhancer that is also bound by C/EBPα and C/EBPβ (Liu et al., 2022). Here, we show that the loss of cDC1 development caused by IL-6 does not occur in Δ1+2+3 mice, in which the three C/EBP binding sites in the Zeb2 −165 kb enhancer have been mutated (Liu et al., 2022). These results demonstrate that IL-6 induction of C/EBPβ in CDPs prevents cDC1 development by supporting Zeb2 enhancer beyond the capacity for repression by normal NFIL3 expression.

Further, our results resolve an apparent discrepancy between previous studies that examined cytokine-induced loss of cDC1 in tumor-bearing mice (Meyer et al., 2018; Lin et al., 2020). One study concluded that the defect in development occurred at the CDP stage in BM, with a loss of pre-cDC1 (Meyer et al., 2018). In contrast, a second study concluded that cDC1s were lost by apoptosis in peripheral tissues and observed no reduction pre-cDC1 in BM (Lin et al., 2020). We noticed that these two studies used different methods for identifying the pre-cDC1, one which included consideration of the intermediate level of cKit expression of the pre-cDC1 (Grajales-Reyes et al., 2015) and one which was indifferent to cKit expression (Schlitzer et al., 2015). By directly comparing these distinct definitions for the pre-cDC1, we are able to resolve this apparent discrepancy. The loss of pre-cDC1 in our study was clearly evident using the former method that identified the pre-cDC1 as a cKitintZbtb46-EGFP+ BM population (Meyer et al., 2018). In contrast, the loss of pre-cDC1 was obscured in our study when using the latter method that identified the pre-cDC1 as a SiglecH Ly6C BM pre-cDC indifferent to cKit expression (Lin et al., 2020). We show that the inclusion of cKit SiglecH Ly6C cells gives an inaccurate indication of pre-cDC1 abundance since these cells persist in the setting of tumor-derived systemic IL-6. These of cKit SiglecH Ly6C cells are not cDC1 progenitors, but instead represent pDC and cDC2 progenitors (Fig. 2 C).

Immune checkpoint blockade has brought major therapeutic benefits to the treatment of cancer (Sharma and Allison, 2015). An important component of effective checkpoint blockade is the abundance of the cDC1 subset (Gubin et al., 2014). The contribution of cDC1 to effective checkpoint blockade therapies is likely due to its capacity for cross-presentation of tumor-derived antigens to CD8 T cells (den Haan et al., 2000; Hildner et al., 2008). Recently, the cDC1 was also shown to act in maintaining the population of tumor-specific CD8 T cells capable of undergoing proliferation (Schenkel et al., 2021), a finding that also extends to the situation of chronic viral infection (Dahling et al., 2022). While cDC1s clearly function in priming CD8 T cell responses in secondary lymphoid tissues, they may also act in the tumor microenvironment to further enhance antitumor CD8 T cells (Spranger et al., 2017). In agreement with recent suggestions (Hailemichael et al., 2022; Li et al., 2022), our results imply that neutralization of IL-6 may help prevent the loss of cDC1 caused by conditions such as systemic IL-6 that act to impair the specification of the pre-cDC1 in the BM.

Mice

WT C57BL6/J (JAX:000664) mice were from The Jackson Laboratory. Zeb2ZEB2-EGFP fusion protein reporter mice (Nishizaki et al., 2014) were provided by RIKEN BioResource Center through the National BioResource Project of the Ministry of Education, Culture, Sports, Science and Technology, Japan (STOCK Zfhxlbtm2.1Yhi). Zbtb46egfp reporter mice (Satpathy et al., 2012) and Δ1+2+3 mice (Liu et al., 2022) were previously reported and kept in-house. MHCI triple KO mice (Kb−/−Db−/−β2m−/−) were originally provided by T. Hansen (Washington University School of Medicine, St. Louis, MO, USA; Lybarger et al., 2003). C57BL/6-Tg(TcraTcrb)1100Mb/J (OT-I, JAX:003831) and B6.Cg-Tg(TcraTcrb)425Cbn/J (OT-II, JAX:004194) mice were obtained from The Jackson Laboratory. Irf8 +32−/− mice were previously described (Durai et al., 2019) and kept in-house. All mice were maintained in a specific pathogen–free animal facility following institutional guidelines with protocols approved by Animal Studies Committee at Washington University in St. Louis. Experiments were performed with mice between 6 and 12 wk of age.

Flow cytometry and antibodies

BM cells and splenocytes were isolated as previously reported (Kim et al., 2020; Liu et al., 2022). Lineage+ cells were depleted using biotinylated anti-mouse CD3Ɛ, anti-mouse CD19, anti-mouse CD105, anti-mouse Ly6G, anti-mouse TER119, and anti-mouse NK1.1 antibodies, and MagniSort streptavidin negative selection bead (Invitrogen) or Mojosort streptavidin nanobeads (BioLegend) as needed. Progenitors were defined as follows: MDP (Lin cKithi Flt3+ M-CSFR+), CDP (Lin cKitint Flt3+ M-CSFR+ MHCII, CD11c) and cMoP (Lin cKit+ Flt3 M-CSFR+). Cells were stained as previously described (Kim et al., 2020; Liu et al., 2022). Biotinylated antibodies used for lineage depletion for BM progenitor analysis and sort-purification of OT-I and OT-II T cells are as follows: biotinylated anti-mouse CD3Ɛ (145-2C11), anti-mouse CD19 (6D5), anti-mouse CD45R/B220 ( RA3-6B2), anti-mouse Ly6G (1A8), anti-mouse TER119 (TER-119), anti-mouse NK1.1 (PK136), anti-mouse CD8b (YTS156.7.7), and anti-mouse CD4 (GK1.5) antibodies were purchased from BioLegend. Biotinylated anti-mouse CD105 antibody (MJ7/18) was obtained from Invitrogen. For fluorochrome-conjugated antibodies, PE/Dazzle594-conjugated anti-mouse CD45R/B220 (RA3-6B2), PE-conjugated anti-mouse SiglecH (551), Brilliant Violet (BV) 510-conjugated anti-mouse MHCII (M5/114.15.2), Alexa Fluor (AF) 647- or PE-Cy7-conjugated anti-mouse CD24 (M1/69), APC-conjugated anti-mouse Sirpα (P84), BV421-conjugated anti-mouse XCR1 (ZET), AF647-conjugated anti-mouse CD11b (M1/70), PE-Cy7- or BV711-conjugated anti-mouse M-CSFR (AFS98), BV421-conjugated anti-mouse Ly6C (HK1.4), PE-conjugated anti-mouse Vα2 (B20.1), APC-Cy7-conjugated anti-mouse CD45.1 (A20), PE-Cy7-conjugated anti-mouse CD45.2 (104), APC- or AF700-conjugated anti-mouse/human CD44 (IM7), AF488-conjugated anti-mouse CD45R/B220 (RA3-6B2), BV605-conjugated anti-mouse CD8a (53-6.7), BV711-conjugated anti-mouse CD4 (RM4-5), and PerCP-Cy5.5-conjugated anti-mouse CD62L (MEL-14) antibodies, and BV605-conjugated streptavidin were obtained from BioLegend. Brilliant Ultra Violet (BUV) 395-conjugated anti-mouse CD45R/B220 (RA3-6B2), BUV395- or PE-conjugated anti-mouse CD90.1/Thy1.1 (OX-7), BUV395-conjugated anti-mouse cKit (2B8), PE-CF594-conjugated anti-mouse Flt3 (A2F10.1), and AF700-conjugated anti-mouse CD24 antibodies were purchased from BD Biosciences. PE-Cy7-conjugated anti-mouse MerTK (DS5MMER), APC-ef780-conjugated anti-mouse CD11c (N418), PerCP-ef710-conjugated anti-mouse Sirpα (P84), and Super Bright 645-conjugated anti-mouse MHCII (M5/114.15.2) antibodies were purchased from Invitrogen. BV605-conjugated streptavidin was obtained from BioLegend. For human DC analysis, PE-Cy7-conjugated anti-human CD141 (M80) and PE-conjugated anti-human CLEC9A (8F9) antibodies were obtained from BioLegend. Antibodies used for intracellular staining of IRF8 and C/EBPβ are as follows: PerCP ef710-conjugated anti-human/mouse IRF8 (V3GYWCH) antibody was purchased from Invitrogen. Anti-mouse C/EBPβ (H-7) antibody was from Santa Cruz. Mouse IgG2a (HOPC-1) antibody was from SouthernBiotech. R-PE-conjugated goat anti-mouse IgG2a was from Jackson ImmunoResearch. Antibodies for intracellular staining of IL-6: PE-conjugated anti-mouse IL-6 (MP5-20F3) and PE-conjugated rat IgG1a isotype control (R3-34) antibodies were obtained from BD Biosciences. AF488-conjugated anti-GFP (FM264G) antibody was from BioLegend. Cells were analyzed on a FACSAria Fusion flow cytometer (BD Biosciences), and data were analyzed with FlowJo version 10 software (TreeStar).

Culture of human cord blood–derived cDCs

All experiments using human cord blood were performed under the approval of the institutional review board of Washington University in Saint Louis (#20110348). Human cord blood cells were cultured using a two-step protocol as previously described (Poulin et al., 2010). Human CD34+ cord blood cells (70008.1; STEMCELL Technologies) were cultured at 5 × 104 cells/ml in StemSpan serum-free medium with penicillin/streptomycin, 100 ng/ml human Flt3L and 20 ng/ml SCF, 20 ng/ml IL-3, and 20 ng/ml IL-6 for 7 d and frozen. For use, cells were thawed and cultured at 105 cells/ml in complete I10F (Iscove’s Modified Dulbecco’s Medium supplemented with 10% heat-inactivated FCS, L-glutamine, sodium pyruvate, MEM non-essential amino acid, penicillin/streptomycin, and 55 µM β-mercaptoethanol) together with 100 ng/ml human Flt3L, 20 ng/ml human SCF, 20 ng/ml human GM-CSF, 20 ng/ml human IL-4, with or without human IL-6 for 14 d. Culture media with cytokines were replaced on day 6. All human cytokines were from STEMCELL Technologies or PeproTech.

Intracellular staining

C/EBPβ and IRF8 in BM cells were analyzed as described (Kim et al., 2020). Briefly, sort-purified CDP was cultured with 5% Flt3L conditioned media with or without addition of 25 ng/ml murine recombinant IL-6 (PeproTech) for 20 h. Cells were suspended in 100 μl 1× Fixation/Permeabilization buffer (005123-43 and 00-5223-56; Invitrogen), incubated for 30 min on ice, and then washed with 200 μl 1× Permeabilization buffer (00-8333-56; Invitrogen) twice. The cells were resuspended in 25 μl 1× Permeabilization buffer containing 2% rat serum (Sigma-Aldrich), incubated on ice, and then stained with anti-mouse C/EBPβ antibody (200 µg/ml, 1:200), mouse IgG2a isotype antibody (100 µg/ml, 1:100), or PerCP-ef710 anti-mouse/human IRF8 antibody (1:200) for 45–60 min. After washing with 200 μl 1× Permeabilization buffer, the cells were further stained with R-PE-conjugated goat anti-mouse IgG2a (1:200 in 25 μl), for the secondary antibody of C/EBPβ staining, for 30 min on ice and then washed with 200 μl 1× Permeabilization buffer.

In vivo T cell–priming assay with cell-associated antigen

WT or Zeb2 Δ1+2+3 mice were i.p. inoculated with PBS, EL4-empty, or EL4-IL-6 (106 cells/100 μl/mouse) and kept for 14 d. OT-I and OT-II T cells were prepared as following procedures: the lymph nodes and spleens were isolated from CD45.1 OT-I TCR or CD45.1 OT-II TCR transgenic mice and dispersed into single-cell suspensions by mechanical separation with slide glasses and 70-μm strainers. RBC was lysed with ACK lysis buffer for 2 min. For lineage depletion, the cells were stained with biotinylated B220, I-A/I-E, Ly6G, CD8b (only for OT-II sorting), and CD4 (only for OT-I sorting) antibodies for 20 min at 4°C, and then the lineage+ cells were depleted by magnetic separation using MagniSort streptavidin negative selection bead according to manufacturer’s instructions. CD45.1+ B220 CD8α+ CD4 Vα2+ CD44 CD62L+ OT-I and CD45.1+ B220 CD8α CD4+ Vα2+ CD44 CD62L+ OT-II cells were sort-purified and then labeled with 1 μM Cell Trace Violet proliferation dye (Thermo Fisher Scientific). The Cell Trace Violet–labeled OT-I cells (2.5 × 105) and OT-II cells (2.5 × 105) were mixed as 1:1 ratio, suspended in 150 μl PBS, and transferred i.v. into EL4 tumor-bearing mice or PBS-inoculated control mice. Cell-associated OVA antigens were prepared as follows: 2.5 × 107 splenocytes isolated from MHCI triple KO mice were osmotically loaded with either 2.5 mg soluble ovalbumin (Worthington Biochemical Corporation) or PBS, then irradiated at 1,350 rad (13.5 Gy). The PBS- or OVA-loaded splenocytes were i.v. injected (5 × 105 cells/150 μl/mouse) into the mice 2–3 h later after OT-I and OT-II transfer. After 3 d, proliferation and activation of OT-I and OT-II T cells in the spleen were analyzed by Aurora flow cytometry (Cytek).

Plasmids, retroviral packaging, and overexpression

LAP and LIP were amplified from cDNA of Cebpb (pcDNA 3.1(−) mouse C/EBP beta (LAP) was a gift from Peter Johnson (Addgene plasmid #12557; http://n2t.net/addgene:12557; RRID:Addgene_12557; Lee et al., 2010) using forward LAP primer (5′-GTCAGA​TCTAGA​CCC​ATG​GAA​GTG​GCC​AAC-3′), forward LIP primer (5′-GCTAGA​TCTGAC​GCG​CCC​GCC​ATG​GCG​GCC-3′), and common reverse primer (5′-AAT​ACTC​GAGGCA​GTG​GCC​CGC​CG-3′), and cloned as a BglII/XhoI fragment into MSCV-based retroviral vector (T2a-Thy1.1 RV; Liu et al., 2022) to generated MSCV-LAP-T2a-Thy1.1 and MSCV-LIP-T2a-Thy1.1. MSCV-Irf8-T2a-Thy1.1 has been described (Kim et al., 2020). IL-6 cDNA was amplified from a cDNA library made from CD11c+ splenocytes and cloned into IRES-EGFP RV (Ranganath et al., 1998) using forward and reverse primers (5′-CATGGA​TCCGCC​ACC​ATG​AAG​TTC​CTC​TCT​GCA​AGA-3′; 5′-GAT​CCTC​GAGCTA​GGT​TTG​CCG​AGT​AGA​TCT-3′) to generate MSCV-Il6-IRES-EGFP. MSCV-Neo- ER-Hoxb8 construct was used as previously described (Liu et al., 2022). Relevant restriction enzyme sites in these primers are underlined. Constructs were packaged using Platinum-E cells transfected with TransIT (Mirus bio) as described (Kim et al., 2020).

Cell lines

Platinum-E retroviral packaging cell line (Morita et al., 2000) and EL4 lymphoblast cell line (ATCC, TIB-39) were cultured in complete I10F. EL4-empty and EL4-IL-6 were generated by retroviral transductions with MSCV-IRES-EGFP or MSCV-Il6-IRES-EGFP, respectively, and sort-purified as EGFP+ cells twice.

Generation and characterization of Hoxb8-transformed BM progenitors

To generate an immortalized BM progenitor cell line for CUT&RUN, sort-purified Lin cKithi Flt3+ M-CSFR BM progenitors from Zbtb46egfp/+ mice were transduced with MSCV-Neo-ER-Hoxb8-RV and then cultured in complete I10F media supplemented with 1 μM estradiol (Sigma-Aldrich), 5% Flt3L conditioned media, and SCF conditioned media. Hoxb8-transformed cells were enriched by culturing the cells for more than 3 wk. The cells were characterized based on (i) surface markers for BM progenitors, (ii) C/EBPβ intracellular expression, and (iii) differentiation potential into DCs in response to IL-6 treatment, in comparison with each character of CDP. Details of experimental procedures for characterizing Hoxb8-cell lines were stated in the legend for Fig. S3, D–F.

Retroviral reporter analysis

We have previously reported the retroviral reporter vector, Thy1.1 pA EGFP CMVp_min PmeI MCS (multiple cloning sites) RV (Durai et al., 2019), and reporter constructs for the WT Zeb2 −165 kb enhancer (Huang et al., 2021) and the Δ1+2+3 mutations in the Zeb2 −165 kb enhancer (Liu et al., 2022). Reporter plasmids were packaged, and sort-purified BM progenitors were transduced, cultured in Flt3L alone or with 25 ng/ml IL-6 for 2 d, and Thy1.1+ cells were analyzed for EGFP expression.

Tumor inoculation

Mice were inoculated with the indicated EL-4 tumor lines through i.p. injections of 106 cells in 100 μl PBS. Control injections were 100 μl PBS. EL-4 tumor lines were validated for uniform EGFP expression on the day of inoculation by FACS.

RNA-seq

CDPs were sort purified after lineage depletion (CD105, Ter119, Ly6G, NK1.1, CD3Ɛ, CD19, and B220) and cultured with Flt3L with or without IL-6 (25 ng/ml) addition for 6 h. RNA-seq libraries were prepared, sequenced, aligned, and analyzed as previously described (Liu et al., 2022). Genes expressed below 20 counts-per-million were filtered out from analysis.

CUT&RUN

C/EBPβ CUT&RUN was performed in Hoxb8-transformed BM progenitor cell line with a CUTANA ChIC/CUT&RUN Kit (EpiCypher) according to the manufacturer’s instructions, with modifications as previously described (Liu et al., 2022). M-CSFR+ cells in the Hoxb8 cell lines (5 × 106 cells/sample) were sort-purified and stimulated with 5% Flt3L with or without IL-6 (25 ng/ml) addition for 24 h. For C/EBPβ and isotype control CUT&RUN, 0.5 μg of anti-C/EBPβ antibody (sc-7962X; Santa Cruz Biotechnology) and 0.5 μg of mouse IgG2a antibody (0103-01; SouthernBiotech) were used, respectively. Libraries for CUT&RUN were prepared with a NEBNext Ultra II DNA Library Prep Kit for Illumina (New England Biolabs), and DNA fragments with sizes ranging from 150 to 300 bp were obtained using AMPure XP beads (Beckman Coulter) as previously described (Liu et al., 2022). The libraries, each having distinct indexes, were combined and subjected to paired-end sequencing using an Illumina NovaSeq 6000. For data analysis, the following programs and commands were used. The adaptor sequences were removed before alignment to the mouse reference genome using Trimmomatic53 with the arguments as followings: java -jar trimmomatic-0.39.jar PE -threads 30 -phred33 sample1_R1.fastq.gz sample1_R2.fastq.gz -baseout sample1.fastq.gz ILLUMINACLIP:Truseq3.PE.fa:2:15:4:4:true LEADING:20 TRAILING:20 SLIDINGWINDOW:4:15 MINLEN:25. The trimmed reads were aligned and mapped to the mouse reference genome (GRCm38/mm10) using Bowtie2 software version 2.2.5 with the arguments as follows: bowtie2 -p 30 --dovetail --phred33 -x mm10 -1 sample1_1P.fastq.gz -2 sample1_2P.fastq.gz > sample1.sam. Duplicated reads are discarded using “makeTagDirectory” of Homer software package (version 4.9) with the parameter -tbp 1: makeTagDirectory sample1.tags sample1.sam -fragLength given -tbp 1. The datasets were visualized with UCSC genome browser in a bedgraph format using “makeUCSCfile” of Homer: makeUCSCfile sample1.tags -o auto -fragLength given -tbp 1 -fsize 5e7. Peak calling was performed with “findPeaks” of Homer: findPeaks sample1.tag -style factor -size 400 -o sample1.peak -i isotypectl_for_sample1.tag -poisson 1e−10.

Statistical analysis

All statistical analyses, scatter plots with error bars, and volcano plots (Cui and Churchill, 2003) were performed with Prism version 9 (GraphPad Software). Heatmaps were generated using Morpheus, https://software.broadinstitute.org/morpheus.

Online supplemental material

Fig. S1 shows the generation and validation of IL-6–expressing EL4 tumor cells in vitro and in vivo. Fig. S2 shows the reduction of various BM progenitors for DCs and monocytes upon inoculation of IL-6–producing EL4 tumor cells. Fig. S3 is RNA-seq showing changes in gene expression by IL-6 treatment in CDP. It shows that IL-6 increases C/EBPβ expression and bindings at Zeb2 −165 kb in CDP. Fig. S4 shows a mechanism by which IL-6 blocks cDC1 development by acting at the Zeb2 −165 kb Δ1+2+3 enhancer.

RNA-seq data from Figs. 3 and S3 and CUT&RUN data from Fig. S3 are available on the National Center for Biotechnology Information Gene Expression Omnibus database with the accession numbers GSE215751 and GSE229271, respectively. All data in this study are available in the main figures, text, and supplementary materials.

We thank the Genome Technology Access Center at the McDonnell Genome Institute at Washington University School of Medicine for help with the genomic analysis of RNA-seq.

This work was supported by grants from the National Institutes of Health (R01AI150297, R01CA248919, R21AI164142, R01AI162643, and R21AI163421 to K.M. Murphy, and T32CA009621 to M.Y. Chen), and a gift from the 1440 Foundation to W.E. Gillanders and K.M. Murphy. S.T. Ferris is a Cancer Research Institute Irvington Fellow supported by the Cancer Research Institute.

Author contributions: S. Kim, T.L. Murphy, and K.M. Murphy designed the study. S. Kim, J. Chen, S. Jo, F. Ou, S.T. Ferris, T. Liu, and W.E. Gillanders (of the Dept. of Pathology and Immunology, Washington University) conducted experiments related to FACS analysis of splenocytes and BM progenitors, cell sorting, culture, RNA-seq, and CUT&RUN with advice from R.A. Ohara, D.A. Anderson III, and R. Wu. F. Ou performed culture and analysis of human cord blood–derived DCs with advice from R.A. Ohara, M.Y. Chen, and W.E. Gillanders (of the Dept. of Surgery, Washington University, and The Alvin J. Siteman Cancer Center). S. Jo performed in vivo T cell–priming assay with cell-associated antigen. S. Kim and J. Chen performed computational analysis of RNA-seq and CUT&RUN with advice from T. Liu and D.A. Anderson III. S. Kim, F. Ou, and T.L. Murphy performed all retroviral assays. S. Kim, T.L. Murphy, and K.M. Murphy wrote the manuscript with advice from all authors.

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Author notes

Disclosures: The authors declare no competing interests exist.

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