Current systems for conditional gene deletion within mouse macrophage lineages are limited by ectopic activity or low efficiency. In this study, we generated a Mafb-driven Cre strain to determine whether any dendritic cells (DCs) identified by Zbtb46-GFP expression originate from a Mafb-expressing population. Lineage tracing distinguished macrophages from classical DCs, neutrophils, and B cells in all organs examined. At steady state, Langerhans cells (LCs) were lineage traced but also expressed Zbtb46-GFP, a phenotype not observed in any other population. After exposure to house dust mite antigen, Zbtb46-negative CD64+ inflammatory cells infiltrating the lung were substantially lineage traced, but Zbtb46-positive CD64− cells were not. These results provide new evidence for the unique identity of LCs and challenge the notion that some inflammatory cells are a population of monocyte-derived DCs.
Classical DCs represent a discrete lineage distinguishable in ontogeny and function from macrophages (Merad et al., 2013). Previously, we and others observed that Zbtb46 expression is a trait shared by all classical DCs and not shared by macrophages (Meredith et al., 2012; Satpathy et al., 2012a). However, no single transcriptomic or functional characteristic is sufficient to distinguish the classical, plasmacytoid, and monocyte-derived subsets of DCs taken as a whole from macrophage subsets (Hume et al., 2013).
The biology of monocyte-derived DCs (moDCs) is of considerable interest because of their use in many human DC-based cancer immunotherapies (Anguille et al., 2014). It is clear that monocytes isolated from the mouse can differentiate into moDCs upon treatment with GM-CSF and IL-4 (Inaba et al., 1992; Sallusto and Lanzavecchia, 1994) and acquire Zbtb46 expression under such conditions (Satpathy et al., 2012a). Those mouse cells are a heterogeneous population comprising both macrophage-like and DC-like fractions (Helft et al., 2015), although it is unclear whether human moDCs in vitro are similarly heterogeneous. In the context of inflammation, cells that express the surface markers MHC class II (MHC-II), CD11c, and Ly-6C have been identified as in vivo moDCs (Langlet et al., 2012; Merad et al., 2013; Plantinga et al., 2013). Further, depletion of Ly-6Chi monocytes using an anti-CCR2 antibody decreases the frequency of Ly-6Clo Zbtb46-GFP+ cells in the inflamed gut (Zigmond et al., 2012). Thus, moDCs may lose expression of Ly-6C and acquire expression of Zbtb46 upon differentiation from monocytes (Zigmond et al., 2012); alternatively, Ly-6Chi monocytes may help to recruit Zbtb46-expressing DCs. Some have suggested that Ly-6C+ moDCs might be indistinguishable from monocyte-derived macrophages and myeloid-derived suppressor cells (Guilliams et al., 2014; Chow et al., 2016) or even from relatively undifferentiated monocytes (Jakubzick et al., 2013).
Langerhans cells (LCs) are branched, unpigmented, and slowly dividing cells resident in the epidermis with an unresolved relationship to other myeloid subsets (Satpathy et al., 2012b; Guilliams et al., 2014). They develop from embryonic monocytes and are replenished under inflammatory conditions by progenitors in the blood or BM (Merad et al., 2002; Ginhoux et al., 2006; Hoeffel et al., 2012; Seré et al., 2012). Like microglia, LCs are unaffected by loss of either the cytokine Flt3L or its receptor Flt3 and instead require IL-34 signaling through M-CSFR (Ginhoux et al., 2006, 2009; Kingston et al., 2009; Greter et al., 2012; Wang et al., 2012). However, like classical DCs and unlike macrophages, activated LCs increase migration to draining LNs (Silberberg-Sinakin et al., 1976), where they up-regulate expression of genes such as Flt3 and Zbtb46 (Miller et al., 2012; Satpathy et al., 2012b). LCs that migrate out of human skin explants also express abundant ZBTB46 mRNA (Artyomov et al., 2015), and depletion of Zbtb46-expressing cells decreases the frequency of LCs among cells that migrate out of mouse skin explants and among cells within mouse draining LNs (Mollah et al., 2014). In other respects, LC migration at steady state is poorly understood (Kaplan, 2010), in part because the genetic models used in some studies cannot distinguish LCs from other lineages. For example, a langerin-driven fluorescent reporter developed to track LCs also labels classical DCs in the dermis (Kissenpfennig et al., 2005; Bursch et al., 2007; Ginhoux et al., 2007; Poulin et al., 2007). Similarly, lineage tracing using LysM-Cre labels DCs in the dermis along with langerin-expressing cells in the draining LN (Jakubzick et al., 2008).
For those reasons, we sought to examine whether a macrophage reporter model could clarify the various origins of Zbtb46-expressing DCs observed in vivo. Currently available systems do not permit conditional gene deletion strictly within macrophage lineages (Abram et al., 2014). For example, LysM-Cre (Clausen et al., 1999) promotes significant deletion in macrophages and neutrophils, and F4/80-Cre (Schaller et al., 2002) deletes incompletely among macrophage populations (Abram et al., 2014). CD11c-Cre (Caton et al., 2007) deletes robustly in alveolar macrophages and in classical and plasmacytoid DCs, whereas Cx3cr1-Cre deletes in many subsets of macrophages and classical DCs (Abram et al., 2014). Thus, we set out to design a new lineage-tracing model that would be more faithfully restricted to macrophages to study the overlap between macrophage populations and Zbtb46-expressing DCs.
Results and discussion
Generation of a
Mafb-driven lineage-tracing model
Using principal component analysis to compare gene expression in macrophages and DCs, we proposed that a reporter based on expression of the gene that encodes transcription factor MafB could distinguish macrophages from DCs (Satpathy et al., 2012b). In myeloid progenitors, MafB represses erythroid and DC fate (Kelly et al., 2000; Bakri et al., 2005). In resident macrophages, MafB and its paralog c-Maf repress a network of self-renewal genes and are transiently down-regulated during cell proliferation (Soucie et al., 2016). Tumor-associated myeloid cells have been identified as macrophages rather than DCs partly on the basis of Mafb mRNA expression (Franklin et al., 2014).
We targeted C57BL6/N mouse embryonic stem cells to insert sequences encoding FLAG-tagged mCherry fluorescent protein and Cre recombinase into the endogenous Mafb locus. We used sequences encoding self-cleaving 2A peptides (Ryan et al., 1991; Szymczak-Workman et al., 2012) to separate those exogenous protein-coding sequences from each other and from the endogenous single-exon Mafb coding sequence preserved upstream (Fig. 1). Our in-frame knock-in targeting strategy was informed by observations that protein synthesis rate and mRNA abundance together explain the vast majority of variation in protein abundance (Schwanhäusser et al., 2011; Li et al., 2014; Jovanovic et al., 2015). In using 2A peptides that yield almost stoichiometric protein coexpression (Szymczak-Workman et al., 2012), our aim was to generate an allele that recapitulates the characteristics of wild-type Mafb in transcription and translation.
Our attention to faithful expression of MafB from the mutated allele was prompted by evidence that Mafb-haploinsufficient mice exhibit subtle defects in hematopoiesis (Sultana et al., 2009) and by reports that aberrant expression of that protein can severely decrease viability of the organism. The kreisler (kr) mutation is a radiation-induced chromosomal inversion that separates an intact Mafb transcriptional unit from putative distal enhancer elements (Cordes and Barsh, 1994). Mice homozygous for the kr mutation rarely survive to sexual maturity and show gross behavioral deficits caused by abnormalities in hindbrain and inner ear development (Hertwig, 1942; Cordes and Barsh, 1994). In contrast, mice homozygous for our targeted allele (which we call MafB-mCherry-Cre) survived into adulthood and were reproductively competent. They showed behavior indistinguishable from wild-type littermates, never manifesting the circling or dancing movement disorder observed in kr/kr mice (Hertwig, 1942). These observations suggest that regulation of the Mafb locus was minimally altered by the in-frame insertion of sequences encoding mCherry and Cre.
To generate lineage-tracing mice, we first crossed Zbtb46-GFP mice (Satpathy et al., 2012a) to R26-stop-YFP mice, which have a loxP-flanked stop sequence upstream of an enhanced YFP gene inserted into the constitutive and ubiquitous Gt(ROSA)26Sor locus (Srinivas et al., 2001); we then crossed either those progeny or R26-stop-YFP mice to MafB-mCherry-Cre mice.
Mafb-driven lineage tracing distinguishes monocytes and macrophages from other hematopoietic lineages
In the spleen of lineage-tracing mice, Mafb-mCherry was expressed abundantly in F4/80+ macrophages, and expression of the lineage-tracing marker YFP was found in nearly all F4/80+ macrophages but at background frequency among the classical DC subsets (Fig. 2 A and Fig. S1 A). In the brain, Mafb-mCherry was detectable in microglia, and YFP expression was found in nearly all such cells (Fig. 2 B and Fig. S1 B). In the blood, Mafb-mCherry expression was detectable only faintly (not depicted); however, YFP expression was observed in ∼10% of Ly-6Chi monocytes and ∼40% of Ly-6Clo monocytes (Fig. 2 C and Fig. S1 C). In contrast, we observed expression of the lineage-tracing marker YFP at a background frequency ranging from ∼1% to ∼6% in CD45− cells, B cells, and neutrophils (Fig. 2 C and Fig. S1 C), which may reflect some quantity of Mafb expression in the hematopoietic stem cell compartment (Sarrazin et al., 2009).
We detected no interpretable differences in gene expression between YFP+ and YFP− Ly-6Clo monocytes by microarray analysis (Fig. 2 D), suggesting that together they represent a single incompletely lineage-traced subset. We surmise that the short half-life (∼20 h at steady state) of Ly-6Chi monocytes (Ginhoux and Jung, 2014) accounts for the lack of extensive lineage-tracing activity. Although gene expression microarray data show some up-regulation of the Mafb transcript at the Ly-6Chi monocyte stage (Gautier et al., 2012), the lineage-tracing marker YFP would be detectable at the same stage only if transcription and translation of Cre, Cre-mediated recombination, and transcription, translation, and maturation of YFP occur significantly within a day’s span. By comparison, Ccr2-CreERT2–based lineage tracing marks nearly all Ly-6Chi monocytes, but Ccr2 expression is up-regulated before commitment to the monocyte–macrophage lineage at the macrophage–DC progenitor stage, and lineage tracing is detectable in the common DC progenitor and its progeny (Croxford et al., 2015).
In the blood, Ly-6Clo YFP+ monocytes showed greater intensities of YFP expression than did developing Ly-6Cint YFP+ monocytes; however, the perceived effect was subtle because the latter population was few in number (Fig. 2 E). In the gut lamina propria, Ly-6Chi monocytes differentiate into CD64hi Ly-6Clo MHC-II+ macrophages through intermediary stages in a monocyte waterfall (Tamoutounour et al., 2012; Bain et al., 2014). We found that those intermediary stages also showed an intermediate frequency and intermediate intensities of YFP expression (Fig. 2 F and Fig. S1 D). Because YFP expression is under the control of a constitutive and ubiquitous promoter, these data suggest that cells adopting macrophage identity accumulated increasing concentrations of YFP until a steady-state concentration was reached late during differentiation.
Spleen and small intestinal macrophages express Mafb mRNA more abundantly than do macrophages in nearly any other organ (Gautier et al., 2012). To broaden our analysis, we used surface markers to identify BM and alveolar macrophages, which express little or no Mafb mRNA (Gautier et al., 2012). In some tissues, however, characteristic macrophage surface markers such as F4/80 cannot unambiguously distinguish those cells from other populations (Randolph and Merad, 2013). In the BM, we found that cells with the highest abundance of F4/80 showed substantial lineage tracing (Fig. 3 A and Fig. S1 E). In the lung, F4/80+ cells varied in Ly-6C expression; alveolar macrophages identified within the Ly-6Clo fraction showed no detectable Mafb-mCherry expression but substantial lineage tracing, whereas a population of cells within the Ly-6Cint fraction expressing similar surface markers showed no detectable Mafb-mCherry expression and no lineage tracing (Fig. 3 B, Fig. S1 F, and not depicted). Thus, MafB-mCherry-Cre–based lineage tracing can identify macrophages even where those cells express little or no Mafb mRNA. Furthermore, this system can help to distinguish such populations from other cells that are similar in expression of surface markers such as F4/80.
Small peritoneal macrophages (SPMs) have been found to exhibit some characteristics of DCs, including dendritic morphology and expression of markers such as CD209 (DC-SIGN; Cain et al., 2013; Cassado et al., 2015). Although SPMs and DCs have been distinguished on the basis of M-CSFR or CD11c expression (Gautier et al., 2012; Cain et al., 2013), both populations are marked in lineage-tracing systems based on Cx3cr1-Cre or LysM-Cre (Cain et al., 2013). Using MafB-mCherry-Cre–based lineage tracing in conjunction with the Zbtb46-GFP reporter allele, we found a population of M-CSFR+ classical DCs that lacked expression of YFP (Fig. 3 C and Fig. S1 G). After excluding those cells, large peritoneal macrophages (LPMs) and most SPMs expressed YFP (Fig. 3 C), and SPMs and DCs exhibited distinct morphologies (Fig. 3 D). In concordance with gene expression microarray data (Gautier et al., 2012), LPMs expressed greater quantities of Mafb-mCherry than did SPMs, and LPMs isolated from mice homozygous for the MafB-mCherry-Cre allele expressed Mafb mRNA as abundantly as did LPMs isolated from wild-type mice (not depicted).
In the skin-draining LN, cells that express DC-SIGN accumulate within the MHC-IIhi compartment after intravenous LPS injection (Cheong et al., 2010). Those cells express Zbtb46-GFP and fail to accumulate in Flt3L-deficient mice after treatment with LPS (Meredith et al., 2012; Satpathy et al., 2012a), which suggests that they are a population of classical DCs not derived from monocytes as was initially proposed. After LPS treatment of MafB-mCherry-Cre–based lineage–tracing mice carrying the Zbtb46-GFP allele, we confirmed that MHC-IIhi CD11c+ Sirp-α+ DC-SIGN+ cells in the inguinal LN were uniformly positive for expression of Zbtb46-GFP, but we did not observe expression of YFP in that population above a background frequency (Fig. 3 E and Fig. S1 H). These data suggest that such cells are not derived from a Mafb-expressing population.
Zbtb46-expressing cells marked by Mafb-driven lineage tracing
In the epidermis, expression of the surface marker epithelial cell adhesion molecule (EpCAM) is sufficient to distinguish LCs from classical DCs (Henri et al., 2010). However, in the skin-draining LN, radioresistant LCs are greatly outnumbered by donor-derived cells within the EpCAM+ compartment after reconstitution of irradiated mice using heterologous BM (Henri et al., 2010). Therefore, we assessed whether dual macrophage and DC characteristics observed in LCs could be explained by population heterogeneity at steady state.
Using MafB-mCherry-Cre–based lineage tracing, we first examined LCs in the inguinal LN. In that tissue, all EpCAM+ MHC-II+ cells were uniformly positive for expression of both Zbtb46-GFP and YFP, whereas EpCAM− Zbtb46-GFP+ DC populations did not show YFP expression above background frequency (Fig. 4 A). Conversely, we found that almost all Zbtb46-GFP+ YFP+ cells were positive for expression of EpCAM and MHC-II, whereas cells that did not express both Zbtb46-GFP and YFP also did not express EpCAM (not depicted). These observations suggest that Mafb-expressing cells are the sole source of EpCAM+ cells in the skin-draining LN at steady state.
We next examined LCs in the epidermis (Fig. 4, B and C; Fig. S2, A and B). In that tissue, nearly all CD45+ MHC-II+ EpCAM+ CD24+ cells expressed abundant Zbtb46-GFP and YFP, although Mafb-mCherry expression did not reach the limit of detection (Fig. 4 B and not depicted). The presence of Zbtb46-GFP in skin LCs was unexpected because a previous study has found that the Zbtb46 transcript is expressed at a similar abundance in skin LCs and splenic plasmacytoid DCs, much less than that in classical DCs (Miller et al., 2012; Satpathy et al., 2012b), and plasmacytoid DCs do not express detectable Zbtb46-GFP (Satpathy et al., 2012a). We also used anti-Zbtb46 antibody to compare protein expression in Zbtb46-sufficient (Zbtb46+/+) and Zbtb46-deficient (Zbtb46gfp/gfp) epidermal LCs (Fig. 4 C). Consistent with our earlier observation, we found that epidermal LCs expressed Zbtb46 protein. Thus, LCs are monocyte-derived cells that express Zbtb46 even at the tissue-resident stage.
Ly-6C+ monocyte-derived cells that infiltrate the lung are maturing macrophages
In the lung, administration of house dust mite (HDM) antigen induces an influx of cells that are distinguished from classical DCs by expression of CD64, Ly-6C, and MAR-1 (Plantinga et al., 2013). There has been disagreement as to whether these cells should be considered moDCs (Plantinga et al., 2013) or simply macrophages (Schlitzer et al., 2013). Thus, we used MafB-mCherry-Cre–based lineage tracing to study the infiltrating population after exposure to HDM antigen (Fig. 5 and Fig. S2 C). In the lung and mediastinal LN of HDM antigen–treated mice, we found that CD45+ MHC-II+ CD11c+ CD11b+ CD64+ cells did not express Zbtb46-GFP (Fig. 5, B, D, and E). Instead, we observed a continuum of Ly-6C expression within that population in the lung, with the Ly-6Chi fraction expressing a lower abundance of YFP than did the Ly-6Clo fraction (Fig. 5 B). Because YFP expression is controlled by a constitutive and ubiquitous promoter, these results favor the interpretation that infiltrating CD45+ MHC-II+ CD11c+ CD11b+ CD64+ cells are progressively adopting a macrophage identity.
Collectively, our results demonstrate that the MafB-mCherry-Cre model is suitable for driving gene deletion specifically in macrophages, sparing deletion in DCs or neutrophils. MafB is also expressed outside the hematopoietic system, where our model may find additional applications. In the mouse endocrine pancreas, for example, MafB is expressed in mature α-cells but is also required for β-cell maturation (Artner et al., 2007). In the kidney, MafB is required for podocyte foot process formation (Moriguchi et al., 2006).
By using a lineage-tracing system based on MafB-mCherry-Cre, we found evidence that embryonic monocytes acquire Zbtb46 upon differentiation into LCs. In contrast, we found no evidence of similar cells in other organs at steady state (Fig. 6) or in the lung under inflammatory conditions. Instead, cells elicited by HDM antigen could be resolved into either Zbtb46-expressing DCs or CD64+ macrophages. Although we cannot exclude the possibility that Mafb-expressing lineages can give rise to Zbtb46-expressing progeny under conditions not examined here, it appears that LCs may be unique in acquiring these distinctive characteristics of macrophages and DCs.
Materials and methods
MafB-mCherry-Cre mice were maintained on the C57BL/6N background by interbreeding or by breeding to C57BL/6NJ mice (stock no. 005304; The Jackson Laboratory). To remove the neomycin resistance cassette, mice were bred to flippase (FLP) knock-in (B6N.129S4-Gt(ROSA)26Sortm1(FLP1)Dym/J) mice (stock no. 016226; The Jackson Laboratory) and then interbred to remove the FLP-expressing allele. The resulting strain is available at The Jackson Laboratory (stock no. 029664).
Zbtb46-GFP (B6.129S6(C)-Zbtb46tm1.1Kmm) mice were generated by breeding 129S-Zbtb46tm1Kmm mice (Satpathy et al., 2012a) to B6.C-Tg(CMV-cre)1Cgn/J mice (stock no. 006054; The Jackson Laboratory) to remove the neomycin resistance cassette. Offspring were bred to C57BL/6J mice for at least nine generations (removing the Cre-expressing transgene) and deposited at The Jackson Laboratory (stock no. 027618). R26-stop-YFP (B6.129X1-Gt(ROSA)26Sortm1(EYFP)Cos/J) mice were purchased from The Jackson Laboratory (stock no. 006148) and crossed to Zbtb46-GFP mice on the C57BL/6 background.
Experiments were performed using age-matched mice between 4 and 22 wk of age. Comparisons of treated mice with untreated mice used littermates for both groups; comparisons of fluorescent samples with nonfluorescent samples used, for the latter group, cells isolated from mice lacking the fluorescent markers of interest that were bred and maintained on the C57BL/6 background in the same facility. All mice were bred and maintained in a specific pathogen–free animal facility according to institutional guidelines and under protocols approved by the Animal Studies Committee of Washington University in St. Louis.
Generation of the MafB-mCherry-Cre targeted mutation
P2A-FLAG-mCherry, T2A-Cre, and mouse MafB coding sequences were ligated serially into the pMSCV T2A-GFP retroviral overexpression vector, which was modified from the pMSCV IRES-GFP retroviral overexpression vector (Ranganath et al., 1998), to yield the pMSCV MafB-P2A-FLAG-mCherry-T2A-Cre retroviral overexpression vector. Primers used to amplify coding sequences by PCR are listed in Table S1.
The Mafb 3′–untranslated region (UTR) sequence was amplified from 129S6 genomic DNA using the following primers: 5′-ATTAGAATTCTTTCTGTGAGTCCTGGCGG-3′ and 5′-ATTAATCGATGGGGACTGCTTTTTTGTACAAACTTGTTGCCAGAGAATGTCCCAAAC-3′. Both the amplified 3′-UTR fragment and pMSCV MafB-P2A-FLAG-mCherry-T2A-Cre retroviral overexpression vector were digested using EcoRI and ClaI and then ligated together. A MafB-P2A-FLAG-mCherry-T2A-Cre-UTR fragment was released from the resulting vector by restriction digest using SacII, MluI, and Antarctic phosphatase (New England Biolabs, Inc.), and an ∼3-kb fragment containing Mafb 5′-UTR and upstream sequences was amplified from 129S6 genomic DNA and digested using MluI. The primers used to amplify the latter fragment were: 5′-ATTAAGATCTGGGGACAACTTTGTATAGAAAAGTTGCGGAGTGTGGTGTTCTCTCT-3′ and 5′-CGTCTTCTCGTTCTCCAGGT-3′. The digested fragments were inserted into the pDONR (P4-P1R) plasmid (Invitrogen) by a modified BP recombination reaction in which incubation at room temperature was followed by addition of a supplemental buffer (10 mM MgCl2 and 1 mM ATP) and T4 DNA ligase (New England Biolabs, Inc.) and incubation at 16°C for 5.5 h before addition of proteinase K solution to terminate the reaction. That reaction generated pENTR MafB-P2A-FLAG-mCherry-T2A-Cre-UTR.
A loxP-flanked fragment containing a neomycin resistance gene under the control of the Pgk1 promoter (Pgk1-NeoR) was released by restriction digest from the pLNTK-targeting vector (Gorman et al., 1996) and ligated into the pENTR lox-Puro vector (Iiizumi et al., 2006) to yield pENTR lox-rNeo, as previously described (Satpathy et al., 2012a). FLP recognition target (FRT) sites were introduced flanking the Pgk1-NeoR cassette by site-directed mutagenesis using Pfu DNA polymerase (Agilent Technologies) to yield pENTR lox-FRT-rNeo. Flanking loxP sites were removed in a two-step process. First, the loxP/FRT-flanked Pgk1-NeoR cassette was replaced with a synthetic DNA fragment purchased from Integrated DNA Technologies to yield an intermediate pENTR plasmid. Second, the intermediate pENTR plasmid was digested using MfeI-HF (New England Biolabs, Inc.) and BamHI, and then was ligated to a Pgk1-NeoR fragment released from pENTR lox-FRT-rNeo using EcoRI and BamHI. Orientation of the synthetic fragment in the intermediate pENTR plasmid determined orientation of the Pgk1-NeoR fragment in the final product, yielding either pENTR FRT-Neo or pENTR FRT-rNeo. The sequence of the synthetic fragment was: 5′-TACTACGCGGCCGCGAATTCGAAGTTCCTATTCCGAAGTTCCTATTCTCTAGAAAGTATAGGAACTTCATTAAGGGTTCCGGATCTATAGATCATGAGTGGGAGGAATGAGCTGGCCCTTAATTTGGTTTTGCTTGTTTAAATTATGATATCCAACTATGAAACATTATCATAAAGCAATAGTAAAGAGCCTTCAGTAAAGAGCAGGCATTTATCTAATCCCACCCCACCCCCACCCCCGTAGCTCCAATCCTTCCATTCAAAATGTAGGTACTCTGTTCTCACCCTTCTTAACAAAGTATGACAGGAAAAACTTCCATTTTAGTGGACATCTTTATTGTTTAATAGATCATCAATTTCTGCAGACTTACAGCGGATCCTTAATTCAATTGGAAGTTCCTATTCCGAAGTTCCTATTCTCTAGAAAGTATAGGAACTTCGAATTCGAAGCGGCCGCCATCAT-3′.
Homology arms were amplified by PCR from C57BL/6 genomic DNA and the vector backbone was amplified from pDEST DTA-MLS (Iiizumi et al., 2006) using Q5 High-Fidelity DNA polymerase (New England Biolabs, Inc.) and primers listed in Table S2. A synthetic DNA fragment was purchased from Integrated DNA Technologies incorporating partial mCherry coding sequence, partial Mafb 3′-UTR sequence, and restriction sites for subsequent use. The sequence of the synthetic fragment was: 5′-GAGAGAGACGCCTACAAGGTCAAGTGCGAGAAACTCGCCAACTCCGGCTTCAGGGAGGCGGGCTCCACCAGCGACAGCCCCTCCTCTCCTGAGTTCTTTCTGGTCGAGGGCAGCGGCGCCACGAACTTCAGCCTGCTGAAGCAAGCAGGAGATGTTGAAGAAAACCCCGGCCCTGATTACAAGGATGACGATGACAAGGTGAGCAAGGGCGAGGAGGATAACATGGCCATCATCAAGGAGTTCATGCGCTTCAAGGTGCACATGGAGGGCTCCGTGAACGGCCACGAGTTCGAGATCGAGGGCGAGGGCGAGGGCCGCCCCTACGAGGGCACCCAGACCGCCAAGCTGAAGGTGACCAAGGGTGGCCCCCTGCCCTTCGCCTGGGACATCCTGTCCCCTCAGTTCATGTACGGCTCCAAGGCCTACGTGAAGCACCCCGCCGACATCCCCGACTACTTGAAGCTGTCCTTCCCCGAGGGATTTAAATGGGAGCGCGTGATGAACTTCGAGGACGGCGGCGTGGTGACCGTGACCCAGGACTCCTCCCTGCAGGACGGCGAGTTCATCTACAAGGTGAAGCTGCGCGGCACCAACTGATGTGGCTCTTCGCCCCCCTCGTCCTTCCCACTTCAGTTTTAAGTTTTGTTGAGGGAAAGCGGCCGCTAAGGGAGAGACAGATGCCGAGATCCACATCGTGCAGGAGTGTGTCCTTTATTATTGTTGGGTCTTGGGGCCAAATTGACATACACACACCCACGACTGCTCCT-3′.
The amplified homology arm fragments, amplified vector backbone fragment, and synthetic fragment were assembled using Gibson Assembly Master Mix (New England Biolabs, Inc.) to yield the first intermediate targeting plasmid.
The first intermediate targeting plasmid was linearized using NotI and Antarctic phosphatase (New England Biolabs, Inc.) and then was used for ligation to an FRT-flanked Pgk1-NeoR fragment released from pENTR FRT-Neo or pENTR FRT-rNeo using NotI and BsrGI (having ensured that the pENTR vector backbone would not interfere with ligation by digesting with NheI and AflII after digesting with NotI and BsrGI). The ligation yielded the second intermediate targeting plasmid.
An ∼1-kb fragment containing a portion of the 3′-UTR sequence was amplified from pENTR MafB-P2A-FLAG-mCherry-T2A-Cre-UTR using the following primers: 5′-GCTCGAGGATGGGGACTGAGAACTGTGAGTCCTGGCGGGT-3′ and 5′-CTGAAGTGGGAAGGACGAGG-3′. A fragment containing partial mCherry-T2A-Cre was released from pENTR MafB-P2A-FLAG-mCherry-T2A-Cre-UTR using SbfI-HF and EcoRI-HF (New England Biolabs, Inc.). The second intermediate targeting plasmid was linearized using CspCI and then was assembled with the amplified 3′-UTR fragment and the released mCherry-T2A-Cre fragment using Gibson Assembly Master Mix (New England Biolabs, Inc.) to yield the final targeting plasmid.
The linearized final targeting plasmid was electroporated into JM8.N4 mouse embryonic stem cells (C57BL/6N background; Knockout Mouse Project Repository). After selection with G418 (EMD Millipore), targeted clones were individually picked, expanded, and screened by Southern blot analysis. First, homologous recombination was identified using BamHI-digested genomic DNA and a digoxigenin-labeled 3′-probe amplified using the following primers: 5′-GGCACCAGGGGAATCTAGAA-3′ and 5′-ATGCTCCAAGACAACGATGC-3′. Next, homologous recombination was confirmed using SwaI-digested genomic DNA and a digoxigenin-labeled 5′-probe amplified using the following primers: 5′-CGCCTCCTATGTGCCATAAA-3′ and 5′-TTTCTCCAAAGCAAGCCCTG-3′.
Targeted clones were injected into blastocysts, and male chimeras were bred to female C57BL/6NJ mice (stock no. 000664; The Jackson Laboratory). Confirmation of germline transmission and determination of progeny genotype were performed by PCR using the following primers: 5′-CGAGAAGACGCAGCTCATTC-3′ (common forward), 5′-GAATAGGGAGTCTGGGCCAG-3′ (wild-type reverse), and 5′-CTTGGTCACCTTCAGCTTGG-3′ (mutant reverse). The expected sizes of amplicons were 424 bp (mutant) and 219 bp (wild type).
Cheek pouch (submandibular) blood samples were collected using Microtainer tubes (BD) with EDTA after venipuncture using a 4-mm Golden Rod Animal lancet (MEDIpoint) per the manufacturer’s instructions. Spleen samples were minced and digested in IMDM + 10% FCS (cIMDM) supplemented with 250 µg/ml collagenase B (Roche) and 30 U/ml DNase I (Sigma-Aldrich) for 30 min to 1 h at 37°C with stirring; LN samples were digested in the same manner without mincing. Microglia were isolated from brain by density gradient centrifugation using Percoll (P4937; Sigma-Aldrich), modifying a previously described method (Lee and Tansey, 2013) by substituting IMDM for DMEM/Nutrient Mixture F-12 (DMEM/F-12) and by additionally supplementing the dissociation medium with 1.7 mg/ml collagenase D (Roche), also omitting papain. In brief, brains were diced, dissociated in medium supplemented with Liberase TM (Roche), washed, filtered, and suspended in 37% Percoll. 70% Percoll was underlaid and 30% Percoll was overlaid. HBSS (Thermo Fisher Scientific) was overlaid, and samples were centrifuged before cells in the interface between 37% Percoll and 70% Percoll were recovered and washed. Peritoneum samples were harvested by injecting 10 ml PBS into the peritoneal cavity, agitating vigorously, and then collecting the injected fluid. BM samples were obtained by flushing the femur (or both the femur and the tibia) with magnetic-activated cell-sorting (MACS) buffer (PBS + 0.5% BSA + 2 mM EDTA). Epidermis samples were prepared by splitting ears into dorsal and ventral halves, incubating atop RPMI-1640 medium + 1.25 U/ml dispase (Roche) for 45 min to 1 h at 37°C, peeling and mincing epidermal sheets, and digesting in 0.05% trypsin-EDTA solution (Gibco) for 40 min at 37°C followed by repetitive pipetting. Lung samples were prepared after perfusion by injection of 5–10 ml PBS into the right ventricle; lung lobes were minced and digested in cIMDM supplemented with 2–4 mg/ml collagenase D and 30 U/ml DNase I for 1–2 h at 37°C with stirring. Small intestinal lamina propria samples were prepared as follows: after removal of Peyer’s patches and fat, intestines were opened longitudinally, washed of fecal content, cut into pieces 1 cm in length, and incubated in HBSS + 15 mM Hepes + 5 mM EDTA at 37°C for 40 min with shaking at 250 rpm. Tissue suspensions were passed through a sieve, and the tissue pieces remaining were washed twice in PBS, minced, and incubated in cIMDM supplemented with collagenase B, collagenase D, and DNase I for 90 min at 37°C with stirring. Cell suspensions were pelleted, suspended in 40% Percoll, overlaid on 70% Percoll, and centrifuged for 20 min at 850 g before cells in the interface were recovered and washed in PBS.
To remove erythrocytes, samples were treated with ACK lysing buffer (0.15 M NH4Cl + 10 mM KHCO3 + 0.10 mM EDTA). Cells were filtered through 36-µm or 80-µm nylon mesh before resuspension in MACS buffer, and any cell counts were determined using a Vi-CELL analyzer (Beckman Coulter).
Antibodies and flow cytometry
Samples were stained in MACS buffer at 4°C in the presence of Fc Block (2.4G2; BD). The following antibodies purchased from BD, BioLegend, eBioscience, or Tonbo Biosciences were used to detect surface markers by flow cytometry: anti-CD3e (145-2C11) conjugated to biotin or FITC; anti-CD11b (M1/70) conjugated to eFluor 450, Pacific blue, FITC, PE, PE-Cy7, Alexa Fluor (AF) 700, or APC-Cy7; anti-CD11c (N418) conjugated to biotin, PerCP-Cy5.5, AF 647, or APC-Cy7; anti-CD11c (HL3) conjugated to Brilliant Violet 395; anti-CD19 (1D3) conjugated to biotin; anti-CD24 (M1/69) conjugated to PE, PE-Cy7, or AF 647; anti-CD43 (S7) conjugated to APC; anti-CD45 (30-F11) conjugated to eVolve 605; anti-CD45.2 (104) conjugated to Brilliant violet (BV) 605, PerCP-Cy5.5, APC, APC-Cy7, or APC–eFluor 780; anti-CD45R (B220; RA3-6B2) conjugated to eFluor 450, BV 510, PE-Cy7, AF 700, or APC-Cy7; anti-CD62L (MEL-14) conjugated to APC; anti-CD64 (X54-5/7.1) conjugated to AF 647 or APC; anti-CD102 (3C4 [MIC2/4]) conjugated to AF 647; anti-CD103 (M290) conjugated to BV 421; anti-CD115 (M-CSFR; AFS98) conjugated to BV 711, PerCP-eFluor 710, or PE; anti-CD117 (Kit; 2B8) conjugated to APC–eFluor 780; anti-CD135 (Flt3; A2F10) conjugated to APC; anti-CD170 (Siglec-F; E50-2440) conjugated to PE; anti-CD172a (Sirp-α; P84) conjugated to PerCP–eFluor 710, PE-Cy7, or APC; anti-CD207 (langerin; eBioL31) conjugated to biotin or PE; anti-CD226 (10E5) conjugated to PE; anti-CD326 (EpCAM; G8.8) conjugated to APC; anti-FcεRIα (MAR-1) conjugated to biotin; anti–Ly-6C (AL-21) conjugated to AF 700 or APC; anti–Ly-6C (HK1.4) conjugated to APC–eFluor 780; anti–Ly-6G (1A8) conjugated to biotin, BV 510, PerCP-Cy5.5, or PE; anti-NK1.1 (PK136) conjugated to eFluor 450; anti-F4/80 (BM8) conjugated to PE-Cy7 or APC–eFluor 780; anti–TER-119 conjugated to eFluor 450; and anti–MHC-II (I-A/I-E; M5/114.15.2) conjugated to BV 421, Pacific blue, V500, or BV 510. Streptavidin conjugated to eFluor 450 (eBioscience) or to BV 510 (BD) was also used for flow cytometry. To detect intracellular protein, samples were fixed, permeabilized, and washed using a Transcription Factor Buffer set (BD). The following antibody from BD was used after fixation and permeabilization: anti-Zbtb46 (U4-1374) conjugated to PE. Cells were analyzed using a FACSCanto II or FACSAria Fusion flow cytometer (BD), and data were analyzed using FlowJo software (Tree Star). All gating strategies incorporated size and doublet discrimination based on forward and side scatter parameters.
Gene expression microarray analysis
RNA was isolated from cells using an RNAqueous-Micro kit (Ambion), and target preparation was performed using the GeneChip WT Pico kit (Affymetrix) for hybridization to Mouse Gene 1.0 ST arrays (Affymetrix). Data were normalized, and expression values were modeled using ArrayStar 5 software (DNASTAR). Original microarray data have been deposited in Gene Expression Omnibus under accession no. GSE86596.
For principal component analysis, data were preprocessed using ArrayStar 5 software with robust multiarray average summarization and quantile normalization. Replicates were grouped by sample, and then, mean log-transformed expression values from each replicate group were exported in table format, imported into R software (R Foundation for Statistical Computing), mean-centered by gene, root-mean-square–scaled by sample, transposed, and subjected to principal component analysis computed by singular value decomposition without additional centering or scaling. Scores were plotted in R software.
Peritoneal macrophages and DCs were sorted using a FACSAria Fusion flow cytometer (BD), concentrated by Cytospin, and stained with Wright–Giemsa stain using the Hema 3 system (Thermo Fisher Scientific). Bright-field images were captured at room temperature with a 40× objective lens using an EVOS FL Auto Imaging system (Invitrogen).
For each biological replicate, peritoneum samples were isolated either from mice homozygous for the neomycin resistance cassette–deleted MafB-mCherry-Cre allele (Mafbcre/cre) or from wild-type control mice. Between 1 × 105 and 2 × 105 LPMs were sorted from each sample using a FACSAria Fusion flow cytometer (BD), RNA was isolated using an RNAqueous-Micro kit (Ambion) according to the manufacturer’s instructions, first-strand cDNA was synthesized using qScript cDNA SuperMix (Quantabio), and quantitative analysis was performed using the LightCycler 480 system (Roche) with Luminaris Color HiGreen qPCR Master Mix (Thermo Fisher Scientific) and the following primer pairs: Mafb coding sequence (Sato-Nishiwaki et al., 2013), 5′-CGTCCAGCAGAAACATCACC-3′ and 5′-TCGCACTTGACCTTGTAGGC-3′; and Hprt1 (PrimerBank ID 7305155a1), 5′-TCAGTCAACGGGGGACATAAA-3′ and 5′-GGGGCTGTACTGCTTAACCAG-3′.
Mice were injected intravenously with 7.5 µg anti-CD209a (DC-SIGN; MMD3) antibody conjugated to eF660 (eBioscience) with or without 5 µg LPS (from Escherichia coli O55:B5; Sigma-Aldrich) diluted in 0.9% sodium chloride to a final volume of 200 µl, and then, inguinal LN samples were prepared 12 h after treatment.
HDM antigen (Dermatophagoides pteronyssinus extracts; Greer Laboratories) was dissolved in PBS. Mice were sensitized and challenged intratracheally, as outlined in Fig. 5 (A or C), to induce allergic airway inflammation, and lung and mediastinal LN samples were prepared 2 or 3 d after final challenge.
Online supplemental material
Fig. S1 and S2 show flow cytometry gating strategies used to identify cell populations analyzed in this study. Tables S1 and S2 detail primers used in the generation of the MafB-mCherry-Cre targeting plasmid.
We thank Ansuman T. Satpathy for helpful discussions and critical reading, J. Michael White and the technical staff of the Transgenic Knockout Micro-Injection Core in the Department of Pathology and Immunology at Washington University School of Medicine for blastocyst injection, and the Genome Technology Access Center in the Department of Genetics at Washington University School of Medicine. The Genome Technology Access Center is partially supported by NCI Cancer Center Support grant no. P30 CA91842 to the Siteman Cancer Center and by the Institute of Clinical and Translational Sciences/Clinical and Translational Science Awards grant no. UL1 TR000448 from the National Center for Research Resources, a component of the U.S. National Institutes of Health (NIH) and NIH Roadmap for Medical Research.
This work was supported by the Howard Hughes Medical Institute (grant to K.M. Murphy), the NIH (grants nos. F30DK108498 to V. Durai, 1K08AI106953 to M. Haldar, and R01 AI049653 to G.J. Randolph), the Burroughs Wellcome Fund Career Award for Medical Scientists (to M. Haldar), and the National Science Foundation (grant no. DGE-1143954 to P. Bagadia).
The authors declare no competing financial interests.
epithelial cell adhesion molecule
FLP recognition target
house dust mite
large peritoneal macrophage
magnetic-activated cell sorting
small peritoneal macrophage