Abstract
The proliferation, differentiation and survival of mononuclear phagocytes depend on signals from the receptor for macrophage colony-stimulating factor, CSF1R. The mammalian Csf1r locus contains a highly conserved super-enhancer, the fms-intronic regulatory element (FIRE). Here we show that genomic deletion of FIRE in mice selectively impacts CSF1R expression and tissue macrophage development in specific tissues. Deletion of FIRE ablates macrophage development from murine embryonic stem cells. Csf1rΔFIRE/ΔFIRE mice lack macrophages in the embryo, brain microglia and resident macrophages in the skin, kidney, heart and peritoneum. The homeostasis of other macrophage populations and monocytes is unaffected, but monocytes and their progenitors in bone marrow lack surface CSF1R. Finally, Csf1rΔFIRE/ΔFIRE mice are healthy and fertile without the growth, neurological or developmental abnormalities reported in Csf1r−/− rodents. Csf1rΔFIRE/ΔFIRE mice thus provide a model to explore the homeostatic, physiological and immunological functions of tissue-specific macrophage populations in adult animals.
Subject terms: Gene regulation in immune cells, Neuroimmunology, Myelopoiesis, Monocytes and macrophages
The lineage-specific receptor CSF1R controls macrophage development and homeostasis. Here the authors show that deletion of a conserved Csf1r enhancer (FIRE) selectively depletes brain microglia and resident macrophages in the epidermis, kidney, heart and peritoneum of otherwise healthy mice.
Introduction
The proliferation, differentiation, and survival of vertebrate macrophages is controlled by signals from the macrophage colony-stimulating factor (CSF1) receptor (CSF1R), encoded by the c-fms protooncogene1, now known as Csf1r. The function of the receptor and its two ligands, CSF1 and interleukin 34 (IL34), in macrophage differentiation is conserved in all amniotes (i.e. reptiles, birds, and humans)2,3. Deletion of the Csf1r locus in the mouse or rat germ line produces a global deficiency in most tissue macrophage populations4,5. Mutant animals are osteopetrotic (associated with loss of osteoclasts) and exhibit severe postnatal growth retardation and multiple pleiotropic impacts on development. Tissue macrophages remain dependent upon CSF1R in adult mice and can be depleted by treatment with an inhibitory anti-CSF1R antibody6 or treatment with orally available inhibitors of CSF1R kinase activity7. In humans, dominant-negative mutations in the tyrosine kinase domain are associated with an adult-onset neurodegenerative disease8.
The expression of Csf1r mRNA is restricted to myeloid cells. During embryonic development, Csf1r mRNA is expressed in the earliest macrophages identifiable in the yolk sac and transcription of this gene in pluripotent bone marrow (BM) progenitors is the hallmark of commitment to the monocyte–macrophage lineage. Accordingly, the molecular basis for myeloid-restricted transcription regulation of Csf1r has been studied in considerable detail (reviewed in ref. 9). The second intron, downstream of the first coding exon, contains a conserved 337bp sequence known as the fms-intronic regulatory element (FIRE), identified as a super-enhancer in genome-wide analysis of chromatin in mouse macrophages. The mouse FIRE sequence contains binding sites for numerous macrophage-expressed transcription factors9. The combination of a 3.5 kb Csf1r promoter and intron 2, containing FIRE, is sufficient to direct reproducible transgenic reporter gene expression in progenitors, monocytes, granulocytes, classical dendritic cells, and tissue macrophages that also express Csf1r mRNA10,11. Removal of FIRE from the reporter construct abolishes expression10. The same Csf1r construct was used to drive conditional Cre-recombinase in lineage-trace studies that dissected the role of the yolk sac in macrophage development12. In mammals, the FIRE sequence is more highly conserved than any of the exons of the Csf1r gene13. A FIRE sequence is present in the same relative intronic location of the Csf1r locus in all reptile and bird species, and a core element required for enhancer activity14 is perfectly conserved13. The chicken CSF1R promoter and FIRE sequences are also sufficient to direct macrophage-specific expression in chicken transgenic lines and to highlight the appearance of the earliest phagocyte populations in the yolk sac15.
There have been relatively few studies of the function of macrophage-specific enhancers in their genomic context. A highly conserved upstream regulatory element that is present in the Spi1 locus (which encodes the macrophage-specific transcription factor PU.1) is required for regulated expression in myeloid cells. Deletion of this element in the germline produces a failure of myeloid differentiation and development of acute myeloid leukemia16. Deletion of a super-enhancer within the locus of the orphan nuclear receptor transcription factor (Nr4a1) reveals its functional specificity, as only the LY6Clo monocytes are lost, whilst the sensitivity of other monocyte and macrophage subsets to pro-inflammatory stimuli is preserved17.
We aimed to determine the function of FIRE by deleting it from the mouse germ line. If FIRE is essential for Csf1r transcription, genomic deletion should partly or completely phenocopy the loss of tissue macrophages observed in Csf1r−/− mice. Here we report that deletion of FIRE has an organ-specific effect on Csf1r expression and macrophage differentiation. Despite the lack of brain microglia and resident macrophages in skin, heart, kidney, and peritoneum, Csf1rΔFIRE/ΔFIRE mice are healthy and fertile. Aside from highlighting the likely function of other regulatory elements in the Csf1r locus, these mice provide a model to explore tissue-specific macrophage transcriptional regulation and function.
Results
In vitro validation of CRISPRs targeting the FIRE sequence
Guide RNAs (gRNAs) designed to delete FIRE (Fig. 1a) were first validated in the RAW 264.7 macrophage cell line and in E14 mouse embryonic stem cells (ESC). The macrophage cell line expresses Csf1r mRNA and was used in all of the transfection studies that previously led to the characterization of the role of FIRE14. Both cell types were co-transfected with pairs of Cas9-2A-EGFP constructs each expressing single gRNAs (US1+DS1 or DS2), and pools of EGFP+ cells were screened via PCR to detect the deletion of FIRE mediated by the CRISPR/Cas9 system. Both pairs of gRNAs produced deletions in E14 ESC and RAW 264.7 cells (Supplementary Fig. 1a). The deletion of FIRE and the absence of mismatches in the remaining Csf1r sequence in E14 ESC were confirmed by Sanger sequencing (Supplementary Fig. 1b). In RAW 264.7 macrophage cells, individual Csf1rΔFIRE/ΔFIRE clones carried slightly different deletions of the FIRE sequence (Supplementary Fig. 1c). RAW 264.7 cells are not CSF1R-dependent and most of the cellular CSF1R protein is retained in the Golgi apparatus. We therefore analyzed cell-associated CSF1R by flow cytometry in permeabilized cells. The deletion of FIRE completely ablates detectable intracellular CSF1R (Fig. 1b). There is no impact of the FIRE mutation on cell morphology (Fig. 1c) or phagocytic capacity of cells (Fig. 1d). Neither the frequency nor the median fluorescence intensity (MFI) of the macrophage surface marker F4/80 distinguishes between Csf1r+/+ and Csf1rΔFIRE/ΔFIRE clones (Fig. 1e). We conclude that FIRE is required specifically for the expression of CSF1R in the RAW 264.7 macrophage cell line.
E14 mouse ESC can be cultured in the absence of feeders and form embryoid bodies (EB)18 with the potential to generate cells belonging to all the primary embryonic germ layers (i.e. endoderm, mesoderm, and ectoderm). Macrophage differentiation from EB was induced by supplementing culture medium with murine IL3 (mIL3) and recombinant human CSF1 (rhCSF1). Csf1rΔFIRE/ΔFIRE mouse ESC generated using the gRNA pair US1+DS2 are able to produce EB that are indistinguishable from the controls (Fig. 1f, Day 0). By day 7, they give rise to cells that attach to culture plates, indicating that the deletion of FIRE does not affect responsiveness to IL3. By 2 weeks post-differentiation, a lawn of ESC-derived macrophages are produced from the Csf1r+/+ EB, whereas the number of macrophages from Csf1rΔFIRE/ΔFIRE clones was ≈200-fold lower (Fig. 1f). Overall, these in vitro results indicate that FIRE is required for expression of Csf1r and/or macrophage differentiation in EB.
Generation of Csf1rΔFIRE/ΔFIRE mice
To produce Csf1rΔFIRE/ΔFIRE mice, vectors encoding the FIRE gRNAs US1 and DS2 and Cas9 were microinjected into C57BL/6J/CBA F1 mouse oocytes. One male founder with the expected 418 bp deletion was crossed with Csf1r+/+ C57BL/6J females and the progeny were interbred. The frequencies of Csf1r+/+, Csf1r+/ΔFIRE and Csf1rΔFIRE/ΔFIRE mice at weaning are 26%, 55%, and 19%, respectively (n = 501). Unlike Csf1r−/− mice or the Csf1op/op mouse4 there is no postnatal growth retardation, failure of tooth eruption or evidence of osteopetrosis in Csf1rΔFIRE/ΔFIRE mice (Fig. 2a–c). The proximal growth plates of control and Csf1rΔFIRE/ΔFIRE mice are indistinguishable and normal numbers of osteoclasts are present (Fig. 2d, e). Brain abnormalities in Csf1r−/− mice include reduced brain size, severely enlarged ventricles, hollow olfactory bulbs, deficient myelination and failure of commissure closing in the corpus callosum19. The Csf1rΔFIRE/ΔFIRE brains are not macroscopically distinguishable from controls and Luxol fast blue staining reveals no differences in myelination (Fig. 2f, g).
Csf1op/op, Csf1r−/− mice and adult mice treated with anti-CSF1R antibody lack lamina propria and Peyer’s patch macrophages in the small intestine. These mice also show associated changes in villus architecture, increased goblet cell numbers detected with periodic acid-schiff (PAS) staining, reduced proliferation in the crypts and defects in differentiation of Paneth cells6,20,21. Csf1r mRNA is not expressed in intestinal epithelial cells and the impacts of anti-CSF1R treatment are attributable to the loss of macrophages surrounding the crypts21. There are no detectable alterations in intestinal epithelia that distinguish between Csf1r+/+ and Csf1rΔFIRE/ΔFIRE mice (Fig. 2h and Supplementary Fig. 2).
The development of normal sexual maturity is compromised in both male and female Csf1op/op mice22,23 and in Csf1r−/− rats5. By contrast, the Csf1rΔFIRE/ΔFIRE mice reach sexual maturity and are fertile.
The impact of FIRE deletion in blood and BM
Two subsets of blood monocytes can be distinguished based upon the expression of LY6C. The differentiation of the LY6Clo subset depends upon CSF1R signaling6,24. Csf1rΔFIRE/ΔFIRE mice have normal cell populations in peripheral blood (Fig. 3a) and F4/80, LY6C, and CD11b expression is unchanged compared to littermates (Fig. 3b–d). However, the expression of CSF1R detected with anti-CD115 antibody is abolished (Fig. 3c). Furthermore, the binding of labeled CSF1 (pCSF1-FcAF647)11 is undetectable in the mutant mice, whereas in littermates it provides a sensitive marker for F4/80+ blood monocytes (Fig. 3d). Notably, the level of both CSF1R and CSF1 binding is reduced by around 50% in the heterozygotes (Fig. 3c, d), which is consistent with a lack of dosage compensation at the mRNA level also reported in Csf1r-deficient mice and rats4,5.
Unlike Csf1r and Csf1 mutant mice4, Csf1rΔFIRE/ΔFIRE mice are not osteoclast-deficient and osteopetrotic. Total BM cellularity remains unchanged by the FIRE mutation (Supplementary Fig. 3a). Aside from progenitors, BM contains multiple specialized macrophage populations that regulate bone homeostasis and hematopoietic differentiation (reviewed in ref. 25). BM cell populations were analyzed by flow cytometry as described in Supplementary Fig. 3b. Two populations of F4/80+ cells are detected in control mice that differed in the level of CSF1R. The proportion of F4/80+ cells is unchanged in Csf1rΔFIRE/ΔFIRE mice, but CSF1R expression and CSF1 binding is abolished in both F4/80+ populations (Supplementary Fig. 3c and d). As in the blood, the level of CSF1R is reduced around 50% in heterozygotes. BM contains a population of monocyte–dendritic cell progenitors (MDP) that express KIT, FLT3, and CSF1R, and committed proliferative LY6C+ progenitors derived from the MDP that lack both KIT and FLT326. Although CSF1R expression is lost in Csf1rΔFIRE/ΔFIRE BM, there is no reduction in the number of cells expressing LY6C, KIT, or FLT3 (Supplementary Fig. 3e). In view of the apparent loss of CSF1R protein, we examined whether BM from mutant mice is responsive to CSF1. BM-derived macrophages (BMDM) are generated from Csf1rΔFIRE/ΔFIRE BM, but with greatly reduced yield compared to controls (Supplementary Fig. 3f). The macrophages derived from Csf1rΔFIRE/ΔFIRE BM still express F4/80 and CD11b but have lower levels of surface CSF1R detected with pCSF1-FcAF647 relative to controls (Supplementary Fig. 3g). Hence, the production/survival of these few BMDM relies on some mechanism that compensates for the absence of FIRE.
Macrophage populations in Csf1rΔFIRE/ΔFIRE mice
We performed flow cytometry and/or immunohistochemistry analyses on major organs as shown in Fig. 4, Supplementary Figs. 4 and 5. Liver macrophages (Kupffer cells, KC) are CSF1R-dependent4,6, CSF1-responsive27, and the main site of clearance of labeled CSF111. The number, location, or morphology of KC and the liver-to-body weight ratio of Csf1rΔFIRE/ΔFIRE mice are similar to littermate controls (Supplementary Fig. 4a, b). Flow cytometry analysis confirmed the unchanged numbers of KC and dendritic cell subsets (cDC2 as defined previously11) (Fig. 4a) and retention of KC-specific markers such as TIM4 (Supplementary Fig. 4c). However, there is a significant increase in LY6Clo monocyte-like cells (CD11b+F4/80lo). The full gating strategy for liver flow cytometry data is shown in Supplementary Fig. 4d.
The marginal zone is completely absent in the spleen of Csf1op/op mice28 and in Csf1r−/− rats5. In Csf1rΔFIRE/ΔFIRE mice the overall architecture and relative area of the marginal zone is indistinguishable from the controls (Supplementary Fig. 4e and f). As in the liver, there is no change in the spleen-to-body weight ratio or the relative abundance of myeloid populations defined by staining for F4/80+ or other markers (Supplementary Fig. 4g, h and Fig. 4b). The full gating strategy for spleen flow cytometry data is shown in Supplementary Fig. 4i.
Lung macrophage populations are primarily controlled by CSF2 (also known as GM-CSF, encoded by Csf2), rather than CSF129, but lung macrophages do express Csf1r and bind CSF111. The Csf1r-EGFP macrophage-reporter transgene is highly expressed in both alveolar (AM) and interstitial macrophage populations in the lung10, which have distinct developmental origins and renewal mechanisms during adulthood30. Furthermore, expression of Csf1r-EGFP in AM is dependent upon the inclusion of FIRE in the transgene10. Macrophages of the lung are partly depleted in Csf1op/op mice31 and double mutant Csf1op/op and Csf2−/− mice develop severe alveolar proteinosis29. AM can be identified based upon expression of SIGLECF30. Interstitial myeloid populations have been classified as macrophage and conventional dendritic cell subpopulations, based upon expression of CD64, CD11b, CD11c, and MHCII11. To assess the impact of the FIRE deletion on these populations, lungs were digested and analyzed by flow cytometry as previously described11. The full gating strategy is shown in Supplementary Fig. 5a. We also measured Csf1r mRNA in the lung of wild-type and Csf1rΔFIRE/ΔFIRE mice (Supplementary Fig. 5b). FIRE deletion has no effect on AM or any of the interstitial myeloid populations of the lung (Fig. 4c). A marginal reduction in Csf1r mRNA is likely attributable to the loss of expression in monocytes in both blood and BM (Fig. 3c, d and Supplementary Fig. 3c, d). F4/80 is barely detectable in either of the major lung macrophage populations and is primarily associated with monocytes30. Accordingly, the levels of total Adgre1 (encoding F4/80) and Itgam (CD11b) mRNA in the lung are unaffected by the deletion of FIRE. We conclude that FIRE is not required for expression of Csf1r mRNA in lung macrophages nor for their development or monocyte trafficking in the lung.
The large macrophage population of the intestine is constantly renewed from recruited blood monocytes32. The Peyer’s patch and surrounding mucosa contain several specialized mononuclear phagocyte populations, distinguished by mRNA or protein expression of the surface markers F4/80 (ADGRE1), CD4, SIGLEC1, SIRPA, MERTK, TIM4, CX3CR1, and ITGAX (CD11c)33, including a recently described long-lived population34,35. All of these populations depend upon continuous CSF1R signaling6,21. Monocytes enter the lamina propria constantly and respond to the local environment with progressive changes in surface phenotype and gene expression in a so-called monocyte waterfall32. Supplementary Fig. 6 shows the comparison of these populations in the Csf1r+/+ and Csf1rΔFIRE/ΔFIRE mice. There is no detectable difference in distribution of monocyte-like, DC-like, or macrophage populations in either small or large intestine.
Macrophages are so abundant in the intestine that the level of macrophage-specific transcripts can be reproducibly detected by analysis of total mRNA. To complement the analysis of isolated cells, we isolated mRNA from Peyer’s patches and surrounding mucosa in the ileum of Csf1r+/+ and Csf1rΔFIRE/ΔFIRE mice and profiled gene expression using microarrays. There is no significant difference in Csf1r expression between Csf1r+/+ and Csf1rΔFIRE/ΔFIRE mice nor in the level of mRNA encoding any of the markers of intestinal macrophage subpopulations mentioned above, including Itgam (CD11b) and Ly6c1, which are rapidly down-regulated following extravasation into the intestine32 (Supplementary Data 1). These findings demonstrate that FIRE is not required by intestinal macrophages for expression of Csf1r and that the loss of CSF1R in monocytes has no impact on intestinal macrophage homeostasis. In addition, the expression of transcripts that mark cell types controlled indirectly by signals from CSF1R-dependent macrophages, including markers of Paneth cells (Lyz1), microfold cells (Spib, Ccl9, Tnfrsf11a) or goblet cells (Muc2)21, are unaffected (Supplementary Data 1).
Loss of macrophage populations in Csf1rΔFIRE/ΔFIRE mice
The resident macrophages of the peritoneal cavity may be subdivided into two populations, based upon relative size and the level of TIM4 and F4/80 antigen they express36. Both populations of peritoneal macrophages (PM) are absent from Csf1op/op and Csf1r−/− mice4,28 and from mice treated with anti-CSF1R antibody6. The major TIM4+F4/80hiCD11bhi large PM population is almost entirely lost in Csf1rΔFIRE/ΔFIRE mice (Fig. 5a and Supplementary Fig. 6a). The minor residual PM population consists of the small PM that are TIM4−F4/80lo36. These cells were shown previously to bind labeled CSF1 preferentially compared to large PM11. Both anti-CSF1R (CD115) and CSF1-Fc binding to these residual populations are absent in the Csf1rΔFIRE/ΔFIRE mice (Fig. 5a). In Csf1rΔFIRE/+ mice the PM populations are retained but as in blood and BM, there is a reduction in the level of surface receptor detected with either labeled CSF1 or anti-CSF1R antibody, which is consistent with the lack of dosage compensation. In summary, in the peritoneum, the Csf1rΔFIRE/ΔFIRE mutation phenocopies the Csf1r-deficient mice.
The abundant interstitial F4/80hi macrophage populations of the kidney have recognized roles in renal growth and development37, homeostasis and immune surveillance38. F4/80hi kidney macrophages were almost absent from both Csf1op/op and Csf1r−/− mice4. To identify populations of renal mononuclear phagocytes we enzymatically digested kidneys and analyzed CD45+ myeloid cells by flow cytometry. The gating strategy is shown in Supplementary Fig. 7b. Csf1rΔFIRE/ΔFIRE mice have fewer total CD45+ cells and the F4/80hiCD11blo resident kidney macrophages (KM)38 are undetectable (Fig. 5b). In both control and mutant, a subset of the CD11bhi cells are F4/80loMHCII− monocytes but the majority of cells in the F4/80loCD11bhi (R1) gate are also MHCII+/CD64+. Their surface phenotype is reminiscent of the monocyte-derived small PM discussed above. As in the peritoneum, their abundance is slightly increased by the FIRE mutation (Fig. 5b). Conventional dendritic cells (cDC) in the kidney are difficult to separate from macrophages based upon surface markers. A minor subpopulation of cDC (F4/80−CD11b+MHCII+) is detected in both control and Csf1rΔFIRE/ΔFIRE kidneys (R2 gate) (Fig. 5b). Although exogenous CSF1 can promote mouse kidney morphogenesis in vitro and growth of the kidney in vivo37, there is no change in the kidney-to-body weight ratio in Csf1rΔFIRE/ΔFIRE mice (Supplementary Fig. 7c) and kidneys are histologically normal (Supplementary Fig. 7d).
Macrophages of the heart can also be separated into subpopulations attributed distinct roles in cardiac homeostasis and repair following injury39–41. Supplementary Fig. 7e shows the flow cytometry gating strategy for the heart and Fig. 5c summarizes the analysis of digested cardiac macrophage populations from control and Csf1rΔFIRE/ΔFIRE mice. The total cardiac CD45+ population is greatly reduced in the Csf1rΔFIRE/ΔFIRE mice due to selective loss (70–80%) of both the F4/80hiCD64+ macrophage (MHCIIhi) and monocyte-like (MHCIIlo) populations previously described by others39–41. Interestingly, a recent study proposed a link between resident macrophages of the kidney and the heart in the generation of an adaptive response to cardiac pressure overload40. However, as in the kidney, we detect no change in the heart-to-body weight ratio in Csf1rΔFIRE/ΔFIRE mice (Supplementary Fig. 7f) and the histology is indistinguishable from controls (Supplementary Fig. 7g).
There are two major macrophage populations in the skin, the Langerhans cells of the epidermis and the dermal macrophages. Both are CSF1R-dependent4,6 but Langerhans cells, like microglia, depend specifically on the alternative CSF1R ligand, IL3442. Langerhans cells are absent in epidermal sheets from tails of Csf1rΔFIRE/ΔFIRE mice (Fig. 6a). The loss of this cell population has no effect on the morphology of the epidermis or the dermis (Fig. 6b). Dermal macrophage populations accumulate melanosomes from neighboring melanocytes and, like macrophages of the gut, they turn over rapidly43. The stellate melanophagic macrophage populations of the dermis are F4/80+ and are not affected by the FIRE mutation (Fig. 6b).
Loss of microglia in Csf1rΔFIRE/ΔFIRE mice
Microglia, the tissue-resident macrophage population of the brain, arise very early in mouse embryonic development and depend upon CSF1R signaling44. Microglia detected by localization of IBA1 or P2RY12 in littermate controls are absent in the brain of Csf1rΔFIRE/ΔFIRE mice (Fig. 7a, b). Disaggregation of the whole brain and analysis by flow cytometry45 confirms the loss of CD45low/CD11b+ microglia which persists up to 9 months of age (Fig. 7c). The full flow cytometry gating strategy is shown in Supplementary Fig. 8a. Heterozygous mutation (haploinsufficiency) of Csf1r has been proposed as a model for the human neurodegenerative disease ALSP (adult onset leukoencephalopathy with axonal spheroids and pigmented glia)46. However, there is no detectable effect of the heterozygous mutation in mice (Csf1rΔFIRE/+) on microglial numbers. The brain also contains populations of CD45hi classical macrophages associated with the vasculature, meninges, and choroid plexus with a distinct transcriptional profile47,48. CD45hi cells are retained in Csf1rΔFIRE/ΔFIRE brain digests (Fig. 7c) This was confirmed by immunolocalization of CD169, shown recently to be a marker alongside CD206 and LYVE1 for a perivascular macrophage population in most tissues49 (Fig. 7d, e). The brain-to-body weight ratios in adult male and female Csf1rΔFIRE/ΔFIRE mice remains unchanged (Supplementary Fig. 8b).
Microglia are so abundant in the brain that their gene expression profile is readily detected in total mRNA. The complete loss of microglia in Csf1r−/− rat brains was associated with commensurate loss of known microglia-associated transcripts in four brain regions5. To confirm the loss of microglia we compared the gene expression profiles of Csf1rΔFIRE/ΔFIRE and Csf1r+/+ hippocampi. The results, including ANOVA analysis of significantly regulated transcripts, are contained within Supplementary Data 2. Overall, 85 genes are significantly downregulated in the Csf1rΔFIRE/ΔFIRE mouse hippocampus and 77 genes from this group (including Csf1r) have been previously shown to be expressed in human and mouse microglia45,50,51. Of the top 35 transcripts found by Elmore and colleagues to be down-regulated in the brains of adult mice treated with a CSF1R kinase inhibitor52, 26 are also significantly reduced in the hippocampus of Csf1rΔFIRE/ΔFIRE mice. The gene set affected by the Csf1rΔFIRE/ΔFIRE mutation includes a small set of novel genes that may be implicated in microglial biology. Amongst these, the immune checkpoint protein, VISTA (Vsir), was recently localized in both human and mouse and was attributed functions in CNS pathologies53. In addition, HVCN1 was previously shown to regulate the production of microglial reactive oxygen species54. Consistent with the retention of the, CD45hiCD11b+CD169+ brain macrophage population in the Csf1rΔFIRE/ΔFIRE mice (Fig. 7b–e), Ptprc (encoding CD45 antigen) and myeloid markers, such as Mrc1(Cd206), Siglec1, Siglecf, Cd163, Csf2ra/b/b2, Fcgr2b, Tnfrfsf11a (RANK) that have all been associated with these populations47,48 are not significantly affected by the deletion of FIRE (Supplementary Data 2). The complete loss of detectable Csf1r expression implies that the perivascular and brain-associated macrophages, like blood monocytes and the macrophages of the BM, have lost Csf1r expression but are nevertheless produced normally.
Microglia have been implicated in oligodendrocyte maturation and synaptic plasticity55. The loss or induced depletion of microglia in other models leads to alterations in synaptic pruning, hippocampal neurogenesis, myelination, oligodendrocyte maturation, and astrocyte activation56. By contrast to phenotypes reported in Csf1op/op and Csf1r−/− mice4, we observe no evidence of auditory or visual abnormalities in the Csf1rΔFIRE/ΔFIRE mice. Sensory neuronal deficits have been associated with deficient hippocampal neurogenesis but in the Csf1rΔFIRE/ΔFIRE mice there is no loss of expression of markers associated with neuronal progenitor cells (such as doublecortin (Dcx), and Sox257) (Supplementary Data 2). Nandi et al.58 claimed that Csf1r is expressed in subsets of neuronal progenitors, and noted the relative loss of excitatory neurons, expressing Cux1 or Ctip2 (BCll1b) in the Csf1r−/− mouse brain. CUX1 mRNA was also reduced in the brain in a recently described human patient with a homozygous CSF1R mutation59. Neither transcript is down-regulated in the hippocampus of Csf1rΔFIRE/ΔFIRE mice (Supplementary Data 2).
Zhang et al.60 used expression profiles of isolated cells to identify a set of signatures of brain cell populations that can support deconvolution of whole brain expression data. As shown in Supplementary Fig. 8c, there is no significant effect of the Csf1rΔFIRE/ΔFIRE mutation on any cell-type-specific signature (neuron, astrocyte, oligodendrocyte, endothelium) other than microglia. The lack of impact on astrocyte numbers or morphology was confirmed by immunolocalization of the specific markers GFAP and SOX9 in the hippocampus, as well as the striatum, olfactory bulbs, and cerebellum (Supplementary Fig. 8d). Whereas microglia have been implicated as major sources of trophic factors, mRNA expression of Bdnf, Igf1, Tgfb1,2, and 3 is not affected by the absence of microglia in Csf1rΔFIRE/ΔFIRE mice (Supplementary Data 2). Similarly, macrophages and microglia selectively express very high levels of lysosomal-associated genes (e.g. Lamp1, Ctsb, Atp6v0e) and receptors for apoptotic cells (e.g. Mertk, Axl) compared to whole brain regions (e.g. see biogps.org) but the loss of microglia has no effect on the expression of any lysosome-associated transcripts in the hippocampus of Csf1rΔFIRE/ΔFIRE mice. This conclusion is consistent with the proposal that astrocytes are potentially also engaged with apoptotic cell clearance61 and might fill this role in the absence of microglia.
Embryonic macrophage development in Csf1rΔFIRE/ΔFIRE mice
Many tissue resident macrophages are seeded during embryonic development from the yolk sac and fetal liver progenitors24,30,41,44,62,63. Csf1r−/− mice lack yolk sac-derived macrophages and microglia but develop fetal monocytes44. Treatment of a pregnant mouse with anti-CSF1R resulted in the loss of embryonic macrophages derived from the yolk sac, whereas circulating liver-derived monocytes were unaffected63. As shown in Fig. 8a the Csf1rΔFIRE/ΔFIRE embryos develop normally but the overall density of IBA1+ macrophages throughout the body is greatly reduced. In the critical window in which liver hematopoiesis is established and the blood–brain barrier is closed (embryonic day 12–13), IBA1+ ameboid microglia are prevalent in controls but undetectable in Csf1rΔFIRE/ΔFIRE embryos (Fig. 8b–d). Numerous macrophages expressing the CSF1R-ECFP and CSF1R-EGFP reporter genes line the ventricular and external surfaces of the developing brain from 9.5 dpc10,64. These cells are absent in Csf1rΔFIRE/ΔFIRE embryos (Fig. 8b, c). Only occasional monocyte-like cells associated with blood vessels are seen in the brain parenchyma (Fig. 8b). By contrast, IBA1+ monocytes/macrophages are detected in the meninges and choroid plexus in both control and mutant embryos (Fig. 8c, d), consistent with our findings in the adult brain (Fig. 7). There is also a reduction in the IBA1+ macrophages in the fetal liver at the same stages of development (Fig. 8e). We conclude that the Csf1rΔFIRE/ΔFIRE mice recapitulate the phenotype of Csf1r−/− mice in early hematopoiesis, producing a selective deficiency of yolk sac-derived cells. The major macrophage populations that are retained in the adult Csf1rΔFIRE/ΔFIRE mice (liver, lung, spleen, intestine, dermis, etc.) are established late in gestation and postnatally from monocytes derived from progenitors in the fetal liver24,30,44,62,63. This conclusion is consistent with analysis of expression of tissue macrophage-specific genes across an embryonic gene expression time course65.
The chromatin landscape of Csf1r
Chromatin analysis and ChIP-seq data identifies at least four other Csf1r enhancers that are active in mouse BMDM. Each is bound by JUN, STAT1, PU.1, and CEBPA, which also bind cooperatively to many other macrophage-associated enhancers (reviewed in ref. 9). To extend these findings to other macrophage populations, we explored data from a previous study that compared the enhancer profiles of monocytes, microglia, and macrophages isolated from lung, liver, spleen, intestine, and peritoneal cavity66. Peaks of H3K4me1 methylation (indicative of poised enhancers) appear throughout the Csf1r locus and extend upstream into the neighboring Pdgfrb gene (Fig. 9a). This extended H3K4me1 signal is almost undetectable in neutrophils, which express Csf1r mRNA and Csf1r reporter genes at low levels but do not express surface CSF1R11. These additional elements lie outside the 3.5 kb promoter region, and intron containing FIRE, used in production of Csf1r-reporter genes (Fig. 9a). The ATAC-seq data revealed heterogeneity amongst monocyte–macrophage populations. FIRE is clearly a major peak of open chromatin detected in microglia and peritoneal macrophages, consistent with the impact of deletion of this element (Fig. 9b). By contrast, the signal associated with FIRE is barely detectable in isolated lung and intestinal macrophages. Indeed, the promoter-associated ATAC-seq signal is barely detectable, consistent with relatively low expression of Csf1r mRNA in these cells35,67,68 and lack of phenotype observed in these tissues in Csf1rΔFIRE/ΔFIRE mice21. The ATAC-seq data in Fig. 9b reveals multiple additional elements in cells that clear the majority of CSF1 from the circulation (notably in KC and splenic macrophages), that likely contribute to the redundancy of FIRE and to the high level of Csf1r expression in these cell types11. One of these elements includes the distal promoter element (DPE). Located 5′ of the macrophage transcription start site, the DPE also has tissue-specific functions64. It includes a separate transcription start site cluster used by osteoclasts69. Expression of an amplified Csf1r-ECFP (MacBlue) reporter transgene, in which the DPE was deleted from the promoter, was undetectable in most tissue macrophages64. The exceptions that retained reporter gene expression were those populations impacted in the Csf1rΔFIRE/ΔFIRE mouse; embryonic macrophages, BM progenitors and monocytes, microglia, Langerhans cells, and peritoneal macrophages. Therefore, we conclude that FIRE and the DPE interact to control expression of Csf1r in embryonic macrophages and in some tissue-resident macrophage populations but that both are partly redundant.
Discussion
We show that the regulatory element, FIRE, is not required to support Csf1r transcription in all macrophage populations. FIRE is essential for the generation or maintenance of specific CSF1R-dependent tissue macrophages, including those of the embryo, the brain (microglia), skin (Langerhans cells), peritoneum, heart, and kidney but redundant for expression of Csf1r mRNA in adult mononuclear phagocyte populations in the intestine and lung. FIRE is not required for the development of CSF1R-dependent macrophages in other locations (i.e. dermis, spleen, liver, and bone). The microglial population of the brain is established early in development from yolk sac-derived progenitors. Apart from a transient postnatal monocyte influx, microglia are maintained by self-renewal in a CSF1R-dependent manner70. The loss of IBA1+ cells in Csf1rΔFIRE/ΔFIRE embryos (Fig. 8) indicates that microglial development fails early in embryogenesis. This is consistent with the apparent failure of macrophage production from Csf1rΔFIRE/ΔFIRE EB in the E14 ESC model (Fig. 1f).
The relative independence of the large majority of tissue-resident macrophages on the enhancer activity of FIRE begs the question of why this element is so highly conserved across evolution. Enhancer redundancy (i.e. the presence of shadow enhancers), is widespread in eukaryotic developmental systems71. Nevertheless, redundancy is often incomplete and the non-overlapping functions presumably explain why multiple enhancers within a locus are conserved across evolution71. The core element within FIRE, conserved from reptiles to humans, contains binding sites for AP1 and PU.1 that are essential for enhancer activity14. Colocalization of AP1 and PU.1 motifs is a feature of many mouse macrophage-specific constitutive enhancers72. The non-redundant role of FIRE in Csf1r transcription in only a subset of macrophages may be a consequence of tissue-specific expression of transcription factors that bind selectively to this region of the Csf1r locus. Candidate regulators have been identified in many CSF1R-dependent macrophage populations. For example, microglia are uniquely dependent upon specific transcriptional regulators encoded by Sall173 and Irf874. Whilst multiple open chromatin sites are bound by PU.1, CEBPA, and other transcription factors in BMDM, IRF8 bound strongly and exclusively to FIRE (reviewed in ref. 9). Irf8 mRNA is co-expressed with Csf1r in the earliest committed monocyte progenitors75 and upregulated in erythro-myeloid progenitors in parallel with Csf1r during early embryonic development67. Renal macrophages, which are also lost in Csf1rΔFIRE/ΔFIRE mice, along with blood monocytes, share high gene expression of Irf8 with microglia67. RUNX1 is another transcription factor that interacts with FIRE in both mouse and human macrophages and controls CSF1-dependent macrophage growth76. Accordingly, Runx1 mRNA is expressed in the earliest progenitors of CSF1R-positive microglia44 and is amongst the transcription factors down-regulated in the hippocampus in Csf1rΔFIRE/ΔFIRE mice (Supplementary Data 1).
CSF1R deficiency causes embryonic or perinatal death in most mouse strains and the few surviving Csf1r mutant mice have numerous developmental abnormalities77. The Csf1rΔFIRE/ΔFIRE mice that are born survive and thrive. Aside from survival, other major differences between the pleiotropic impacts of Csf1rΔFIRE/ΔFIRE and Csf1r−/− mutations4,77 are clearly related to the selective retention of most Csf1r-dependent macrophage populations in mice with the FIRE deletion. The expression profiling of the hippocampus supports the view that trophic and phagocytic functions attributed to microglia can be compensated in part by other cells. Notably, neuronal development, including expression of markers such as Cux1, is unaffected by the complete loss of Csf1r expression. This observation argues strongly against a functional role for Csf1r in neuronal progenitors58 and instead supports that Csf1r is expressed and functional only in microglia19. So, we suggest that the reported developmental and homeostatic roles of Csf1r-dependent macrophages, including microglia and those of the epidermis, peritoneum, kidney, and heart are at least partly redundant. By extension, the loss of most peripheral macrophages and the associated systemic impacts of that loss must contribute to the severe brain developmental abnormality observed in Csf1r−/− mice19,78. Severe postnatal growth retardation is a shared feature of Csf1 and Csf1r mutant mice and rats4,5 and is a consequence of impacts on the growth hormone (GH)/insulin-like growth factor 1 (IGF1) axis (reviewed in ref. 79). By contrast to the Csf1r-deficient mice, liver macrophages develop normally in Csf1rΔFIRE/ΔFIRE animals (Fig. 4a and Supplementary Fig. 4a) and somatic growth, as well as the male–female sexual dimorphism in body weight gain, is unaffected by the mutation. In Csf1 mutant rats, there was no postnatal surge in circulating IGF179) and the Csf1r mutation in rats reduced expression of both Ghr and Igf1 mRNA in the liver5. Circulating IGF1 in turn crosses the blood brain barrier and regulates many aspects of neuronal health (reviewed in ref. 80).
In overview, our objective in this study was to investigate the role of a conserved enhancer in a key macrophage-expressed gene. We have confirmed the functional importance of FIRE in specific macrophage populations. In the process, we have generated a unique mouse model in which to identify non-redundant functions of specific resident tissue macrophages, especially those of the brain, heart, skin, kidney, and peritoneum, in mice that are otherwise healthy and fertile.
Methods
CRISPR design and plasmid preparation
gRNAs were designed to complement the flanking regions of the FIRE element of intron 2 (from 2646 to 3015 bp downstream of the end of exon 2; NCBI Reference Sequence: NM_001037859.2) using the online tool at http://crispr.mit.edu. Table 1 shows the guides designed, the corresponding protospacer-adjacent motif (PAM) and the complementary BbSI-overhang sequences. Top and bottom oligonucleotides corresponding to each gRNA were aligned, phosphorylated, and cloned into the pSpCas9(BB)-2A-GFP (Px458) plasmid (Addgene), and transformed into competent DH5α E. coli. Following verification of gRNAs insertion by Sanger sequencing, plasmids were purified using endotoxin-free MaxiPrep (QIAGEN).
Table 1.
Guide | Top BbSI-flanking sequence | Guide sequence | Bottom BbSI-flanking sequence | PAM |
---|---|---|---|---|
US1-top | CACC | 5' GAGTCCCTCAGTGTGTGAGA | – | AGG |
US1-bottom | – | 3' TCTCACACACTGAGGGACTC | CAAA | – |
DS1-top | CACC | 5' GGGATGACACAACGGTTTCC | – | TGG |
DS1-bottom | – | 3' GGAAACCGTTGTGTCATCCC | CAAA | – |
DS2-top | CACC | 5' CAATGAGTCTGTACTGGAGC | – | AGG |
DS2-bottom | – | 3' GCTCCAGTACAGACTCATTG | CAAA | – |
US upstream FIRE, DS downstream FIRE, PAM protospacer-adjacent motif
Cell culture
RAW 264.7 macrophages (ATCC® TIB-71™) were cultured on Sterilin-plastic dishes in RPMI 1640 medium (Sigma) supplemented with 10% endotoxin-free FBS (GE Healthcare), 2 mM GlutaMAX (Invitrogen), 25 U/mL of penicillin, and 25 µg/mL of streptomycin (Gibco). Cells were incubated at 37 °C in a 5% CO2 humidified incubator. E14 (129P2/OlaHsd) mouse ESC (ATCC® CRL-1821™) were cultured on porcine gelatin-coated (Sigma) flasks in GMEM (Invitrogen) supplemented with 10% ESC-tested FBS (Hyclone), 2 mM GlutaMAX (Invitrogen), 1X MEM non-essential amino acids, 1 mM sodium pyruvate, 0.1 mM 2-mercaptoethanol (Gibco), and 100 U/mL leukemia inhibitory factor (LIF, Merck), at 37 °C in a 5% CO2 humidified incubator.
Generation of CRISPR/Cas9 deletions in vitro
E14 cells were passaged twice and plated at 8 × 104 cells/cm2 for 24 h prior to transfection. Cells were transfected with a total of 2 µg DNA (i.e. pairs of Cas9-2A-EGFP vectors, each expressing single gRNAs: US1+DS1 or DS2) using the Amaxa P3 Primary cell 4D-Nucleofector X Kit (Lonza) and incubated with supplemented GMEM for 36 h. Cells were then resuspended in Dulbecco’s phosphate buffered saline (DPBS, Sigma), diluted in sterile Baxter water (TPS Healthcare/Baxter), supplemented with 2% FBS and kept at 4 °C. The GFP+ cells were collected with a FACS Aria IIIu cell sorter (BD). To generate single cell clones of CRISPR-modified E14 cells, sorted pools of GFP+ cells were plated on 0.1% gelatin-coated 100 mm culture dishes at a density of 18 cells/cm2 and single colonies picked approximately 2 weeks later. RAW 264.7 cells (5 × 106) were resuspended in 250 µL of culture medium containing 10 µL of DPBS ± 20 µg DNA (as pairs of FIRE-targeting Cas9-2A-EGFP vectors, as specified above) and incubated at RT for 10 min. Electroporation was performed in 0.4 cm electroporation cuvettes (BioRad) using the BioRad Gene Pulser II (BioRad), at 320 V and a capacitance of 950 µF. Cells were cultured for 36 h and GFP+ cells were single-cell sorted into polystyrene flat-bottom 96-well plates, using a FACS Aria IIIu cell sorter (BD).
PCR analysis and sequencing of transfected E14 ESC and RAW 264.7 cells
Isolation of DNA from sorted pools of GFP+ cells (either E14 ESC or RAW 264.7 cells), or from cells cultured in plates other than 96-well plates was performed with the QIAGEN DNeasy Blood and Tissue Kit (QIAGEN), according to the manufacturer's instructions. Genomic DNA from single-cell-derived clones cultured in 96-well plates was isolated by adding a 1:1 mix of DirectPCR Lysis Reagent (Viagen) and nuclease-free water (Invitrogen) supplemented with 20 µg of Proteinase K (QIAGEN), per well. Cells were incubated in a heated orbital shaker at 200 rpm and 55 °C, for 12 h and Proteinase K was inactivated at 85 °C for 45 min. Conventional PCR was performed using 50 ng DNA per reaction, Taq DNA polymerase (Invitrogen) and the primers F-5′: GCTGCCCTGTCACTGTGTA and R-5′: TCGTTTCCCATCCCAGGA, at an annealing temperature of 55 °C. PCR products were run by electrophoresis to obtain a Csf1r+/+ of 925 bp, or Csf1r ΔFIRE/ΔFIRE amplicons of either 485 bp (CRISPR pair: US1 and DS1) or 507 bp (CRISPR pair: US1 and DS2). PCR amplicons were separated by standard electrophoresis, purified with the QIAquick PCR purification kit (QIAGEN) and then sequenced using the oligonucleotides listed in Supplementary Table 1.
DNA isolation and genotyping
Mouse ear biopsies were digested overnight at 50 °C, in mouse biopsy buffer containing 100 mM Tris–HCl (Sigma) pH 8.5, 0.2% SDS (Ambion), 200 mM NaCl (Sigma), 5 mM EDTA (Ambion), and 160 µg Proteinase K (QIAGEN). Digested tissues were centrifuged at 12,000×g for 15 min at 4 °C and DNA was precipitated through the isopropanol–ethanol method. DNA pellets were dried at RT, resuspended in nuclease-free water and quantified using a Nanodrop™ 1000 (Thermo Fisher Scientific). PCR amplification was performed as described above and products were purified using the QIAquick PCR purification kit (QIAGEN) and sequenced using the oligonucleotides listed in Supplementary Table 1.
Phagocytosis assay
RAW 264.7 cells were cultured in high glucose DMEM (Gibco) supplemented with 10% endotoxin-free FBS (GE Healthcare) and 1 mM GlutaMAX (Life Technologies). Cells were incubated at 37 °C for 2 h in the presence of pHrodo® Red E. coli BioParticles® (Thermofisher) at a ratio of 100 µg/106 cells. Negative control samples were incubated on ice. Cells were analyzed using the BD LSR Fortessa flow cytometer. Dead cells were identified and excluded based upon DAPI uptake.
Flow cytometry
Cells were analyzed by flow cytometry using standard procedures. Inhibition of non-specific binding was achieved by incubating the cells for 30 min on ice in purified anti-CD16/32 (1 µg/mL, BioLegend, 101302) or hybridoma 2.4G2 supernatant. All antibodies are listed in Supplementary Table 2. Where indicated, cells were fixed and permeabilized prior to staining using the LeucopermTM kit (BioRad). Blood was processed using the Uti-Lyse reagent (Agilent). Data analysis was performed in FlowJo® v10.0 (Tree Star). Gates were determined with isotype controls or FMO for all experiments.
Differentiation of ESC-derived macrophages
E14 ESCs were harvested and plated at a density of 5 × 106 cells per 50 mm Sterilin-plastic dishes, using culture medium without LIF. After 4 days, cell debris was removed using 70 µm cell strainers. Fresh culture medium containing 50 ng/mL of rhCSF1 (a gift from Chiron, USA) and 10 ng/mL of mouse recombinant interleukin 3 (IL3, Invitrogen) was added. After 7 days the culture medium was replaced to contain 100 ng/mL of rhCSF1 for 10 days, without IL3.
Generation of Csf1rΔFIRE/ΔFIRE mice
Ethical approval was obtained from The Roslin Institute’s and The University of Edinburgh’s Protocols and Ethics Committees, under the authority of a UK Home Office Project License under the regulations of the Animals (Scientific Procedures) Act 1986. Mice were bred and housed under specific pathogen-free conditions. Csf1rΔFIRE/ΔFIRE mice were produced by pronuclear injection of oocytes with the plasmids encoding FIRE-CRISPRs US1 and DS2 (10 µg of each) and Cas9 mRNA. Both donor and recipient females were B6CBAF1/J (JAX™, stock number 100011). Founders were then crossed to C57BL/6 mice and their offspring interbred.
Micro CT
Micro CT was performed on formalin-fixed, paraffin-embedded decalcified femurs. Specimens were held in 1% agarose in a 20 mL universal tube before mounting in a Skyscan 1172 desktop micro CT (Bruker). The tubes were then scanned through 360° using a step of 0.28° between exposures. A voxel resolution of 6.03 µm was obtained using the following control settings: 54 kV source voltage, 185 µA source current with an exposure time of 1767 ms. A 0.5 mm aluminum filter and two frame averaging were used to optimize the scan. After scanning, the data was reconstructed using Skyscan software NRecon v1.6.9 (Bruker). The reconstruction thresholding window was optimized to encapsulate the target image, with the same values used for all bones. Reconstructed bones were oriented around their vertical axis using DataViewer v1.5.2.4 (Bruker). The trabecular region of bone 200 µm thick starting 100 µm proximal to the primary spongiosa was identified, and volumetric analysis to determine the microarchitecture of this region was performed using CTAn v1.16.4.
Histology and immunohistochemistry
Tissues were fixed in 10% neutral buffered formalin and processed into paraffin using standard procedures. For examination of tissue architecture, sections were stained with hematoxylin and eosin (H&E) or Luxol fast blue. Femurs and tails were decalcified in EDTA. Osteoclasts were detected by staining sections with the tartrate-resistant acid phosphatase (TRAP) kit (Sigma), according to instructions.
Goblet cells were stained by treating sections of small intestine with 1% periodic acid for 7 min and incubating them in Schiff’s reagent for 15 min, with washes in water between steps; followed by counterstaining for 15 s with Hematoxylin.
For immunohistochemistry, antigen retrieval was performed with Proteinase K for 5 min at 37 °C prior to staining. Tissue-resident macrophages in spleen and liver sections were detected by staining with the rat anti-mouse F4/80 monoclonal antibody (1:600; AbD Serotec, MCA497G). For staining of adult brains, primary antibodies were applied overnight at 4 °C in a humid chamber. These included chicken anti-GFAP (1:500; Cambridge Bioscience, 829401) and rabbit anti-SOX9 (1:500; Millipore, AB5535). Following three washes in PBS, fluorescently conjugated secondary antibodies were applied (1:500; Life Technologies) for 2 h at RT, then slides were counterstained with DAPI for 10 min and mounted with Fluoromount G (Cambridge Bioscience). For isolation of epidermal sheets, dissected tail skin was incubated in 2 mg/mL Dispase II (Sigma) at 37 °C for 20 min. Epidermal skin samples were fixed overnight in 4% PFA at 4 °C. After washing with TBS, samples were incubated for 1 h at RT in permeabilization buffer (PB)—TBS containing 0.25% gelatin from cold water fish skin (Sigma), 0.5% Triton X100 (Sigma), and 5% heat-treated goat serum (Sigma). Epidermal samples were then incubated in PB containing rat anti-mouse MHCII (Clone 2G9, 1:100, BD, 553621) and 1:30 goat anti-human Langerin (1:30, Thermo Fisher Scientific, PA5-47250) overnight at 4 °C. Samples were washed five times for 1 h at RT in TBS containing 0.02% Tween 20 (Fisher Scientific) (TBST) followed by incubation overnight at RT with anti-goat and anti-rat Alexa Fluour secondary antibodies (Life Technologies) diluted 1:500 in PB. After washing four times for 1 h in TBST, epidermal sheets were counterstained with DAPI (Sigma) and mounted in Prolong Gold (Life Technologies).
Frozen sections of 4% PFA perfused adult brains were processed and stained with rabbit anti-IBA1 (1:500, Wako, 019-19741), rabbit anti-P2RY12 (Sigma, 1:125, HPA013796), and Alexa Fluor® conjugated secondary antibodies using standard procedures.
Dura mater were removed into ice-cold PBS, fixed for 1 h in 4% PFA, treated for 30 min at 37 °C in PBS containing 20 mM EDTA and then blocked in 3% BSA, 0.3% Triton X100 in PBS for 30 min. Whole mount staining steps were performed in blocking buffer containing rabbit anti-IBA1 overnight (1:1000, Wako, 019-19741), goat anti-rabbit Alexa Fluor® 594 1 h (1:400, Life Technologies, A-11012), Alexa Fluor® 647 anti-mouse CD169 1 h (Clone Siglec-1, 1:200, BioLegend, 142408), with washes in buffer in between incubations. Stained tissues were then mounted onto glass slides with mounting medium and cover-slipped. Slides were imaged via a LSM710 confocal microscope (Zeiss) using Zen software.
Image acquisition and quantification
Whole-slide bright field images were acquired using the NanoZoomer slide scanner. Image analysis was performed with the NDP.view software v2.4.26 (Hamamatsu) and with ImageJ v1.46h. For spleen and liver, 10 regions of interest (ROI) were exported per sample as jpg format from the NDP.view files. Signal was quantified from the whole area corresponding to each ROI (i.e. each jpg file). For analysis of small intestine, individual villi were set as a ROI in the jpg file derived from PAS-staining. Villus perimeter, as well as the area and the number of Goblet cells (PAS+ cells) were quantified. Measurement of villus length was performed in H&E images where 30 villi were measured per sample, from the mucosal base adjacent to the crypts to the apex, using the “ruler” function of the NDP.view v2.4.26 software. Entire brain tissue sections were imaged using a Zeiss AxioScan SlideScanner and visualized with Zen2 software. Epidermal tail sheets were imaged with a Zeiss LSM 710 confocal microscope and ZEN software. For astrocyte analysis the images were obtained by z-stacks using a Zeiss Axio Scan.Z1 (10× objective) and an Olympus 3i Spinning Disk confocal microscope (30× silicone objective) using SlideBook software. For astrocytes counts, tiff files from max projections were imported to Image J, and the images were converted to 8-bit fluorescence RGB tiff and thresholded. For nuclear counts, watershed segmentation on binary images was used to separate objects and then images were analyzed. Two fields of view were quantified and then the mean was calculated and converted to mm2. To count the proportion of GFAP-positive cells, the number of GFAP+ cells was divided by the number of SOX9+ nuclei.
Blood analysis
Blood was isolated through cardiac puncture, using syringe and needle coated with 2% EDTA. Blood was collected into 2 mL EDTA tubes (BD Vacutainer®) containing 1.8 mg of EDTA per mL of blood. Total blood cell counts were performed using the ABX Pentra 60 hematology analyzer and differential counts of WBC subsets were performed on blood smears.
BM isolation and cell culture
BM was isolated by flushing femurs with RPMI containing 5 mM EDTA. For flow cytometry analysis, erythrocytes were not lysed to prevent cleavage of CSF1R. For macrophage differentiation, erythrocytes were lysed with RBC lysis buffer (BioLegend) and BM cells were cultured on Sterilin-plastic dishes in the presence of rhCSF1 (at 100 ng/mL, a gift from Chiron) for 7 days. Fresh media containing rhCSF1 was added on Day 4.
Isolation of peritoneal cells
Cells for flow cytometry analysis were isolated from mice by lavage of the peritoneal cavity with PBS. Cells were centrifuged at 400×g for 5 min at 4 °C prior to resuspension in PBS containing 2% endotoxin-free FBS (GE Healthcare).
Preparation of organs for flow cytometry
The spleen, liver, lung, heart, and kidneys were prepared for flow cytometry from non-perfused mice. Organs were removed, chopped finely, and digested in RPMI containing 0.625 mg/mL collagenase D (Roche), 0.85 mg/mL collagenase V (Sigma), 1 mg/mL dispase (Life Technologies), and 30 U/mL DNase (Roche) for 22 min (lung) or 45 min (other organs) in a shaking incubator at 37 °C. Organ preparations were passed through 100 µm cell strainers and centrifuged at 300×g for 5 min at 4 °C prior to resuspension in PBS containing 2% endotoxin-free FBS. Erythrocytes were then lysed using RBC lysis buffer (BioLegend).
Isolation of intestinal cells
Single cell suspensions of small and large intestines (colon) from non-perfused mice were prepared for flow cytometry. Intestines were opened longitudinally and cut into 2–3 cm segments in ice-cold PBS and intestinal contents removed by gentle shaking. Tissue segments were incubated at 37 °C for 20 min whilst shaking in RPMI containing 3% endotoxin-free FBS (GE Healthcare), 20 mM HEPES (Gibco), 5 mM EDTA (Sigma), 1 mM DTT (Promega), and 100 U/mL polymyxin B (Sigma). Segments were transferred to RPMI containing 2 mM EDTA and 20 mM HEPES and shaken by hand to ensure optimal dissociation of epithelial cells and lamina propria leukocytes. Tissues were minced with scissors and digested at 37 °C for 30 min, whilst shaking in RPMI containing 20 mM HEPES, 0.425 mg/mL Collagenase V (Sigma), 0.625 mg/mL Collagenase D (Roche), 1 mg/mL Dispase (Gibco), and 30 µg/mL DNase (Roche). Cell suspensions were passed through 70 µm then 40 µm cell strainers in RPMI containing 10% endotoxin-free FBS and 100 U/mL polymyxin B. After centrifugation at 400×g at 4 °C for 5 min, including a wash step, cells were resuspended in PBS containing 2% FBS for flow cytometry.
Myelin depletion of brains and isolation of cells
Myelin-depleted brain suspensions were prepared from saline perfused mice for flow cytometry. Whole brains were finely minced with scissors in ice-cold Hank’s balanced salt solution (HBSS, Sigma, without calcium or magnesium) and centrifuged at 400×g for 5 min at 4 °C. Minced brains were then digested in HBSS containing 50 U/mL Collagenase IV (Gibco), 100 µg/mL Nα-Tosyl-l-lysine chloromethyl ketone hydrochloride (Sigma), 5 U/mL DNase I (Roche) and 8.5 U/mL Dispase (Gibco) for 1 h at 37 °C whilst shaking. The digested tissue was homogenized in a glass Dounce tissue grinder for 20 passes and an equal volume of HBSS containing 10% endotoxin-free FBS was then added. After centrifugation at 400×g for 5 min at 4 °C, the cell pellet was resuspended in 16 mL 35% Percoll in HBSS, overlaid with 10 mL HBSS and incubated on ice for 5 min. The gradient was centrifuged at 800×g for 45 min at 4 °C with no brake. The cell pellets were then resuspended in PBS containing 2% FBS for flow cytometry.
RNA isolation and microarrays
For RNA isolation, tissues from saline perfused mice were snap frozen, and subsequently disrupted in the Precellys24 Homogenizer® (Bertin Instruments). RNA isolation was performed using the RNeasy Plus Mini kit (QIAGEN). Library preparation and hybridization to the Affymetrix Mouse Gene 1.0 ST array was performed by Edinburgh Genomics, University of Edinburgh. CEL files were RMA normalized and annotated in R/Bioconductor. Analysis of differential expression was performed using the Affymetrix Transcription Analysis Console (Thermo Fisher).
Analysis of hippocampi microarray data
These data were interrogated with sets of genes whose expression is highly enriched in specific cell types of the brain (astrocytes, oligodendrocytes, microglia, neurons, brain endothelial cells). These sets were curated from published RNA-seq data (GEO, accession number GSE73721) describing the transcriptome of astrocytes, oligodendrocytes, microglia, neurons, and brain endothelial cells60. The inclusion criteria consisted of (a) being expressed at least five-fold higher in the cell type of interest than all other cell types and (b) being expressed at least 50 FPKM to enable robust detection in the mixed cell type environment of a whole hippocampus.
cDNA synthesis and quantitative real-time PCR
Complementary DNA (cDNA) was synthesized from RNA using the SuperScript III. First-Strand Synthesis System and remaining template was removed by incubation with RNase H (Invitrogen). Oligonucleotides were designed in Primer3 v4.0.0 (available at http://bioinfo.ut.ee/primer3/). Real-time qPCR reactions were performed using the Fast SYBR green master mix and the 7500 Fast System (Applied Biosystems). Analysis was performed with 7500 software v2.0.6 (Applied Biosystems, Life Technologies Corporation). For analysis of relative changes in gene expression, data were normalized according to the 2−ΔΔCT method. Hypoxanthine guanine phosphoribosyl transferase (Hprt) was used as a loading control/housekeeping gene. Oligonucleotide sequences are listed in Supplementary Table 3.
Reporting summary
Further information on research design is available in the Nature Research Reporting Summary linked to this article.
Supplementary information
Acknowledgements
This work was supported by the medical research council (MRC) UK grant MR/M019969/1. R.R. was supported by a doctoral scholarship (application number: 314413, file number: 218819) granted by CONACyT Nuevo Leon—I2T2, Mexico. J.A. was supported by Wellcome Trust grant 201531/Z/16/Z. D.A.H. and K.M.S. are supported by The Mater Foundation. P.H. was supported by the biotechnology and biological sciences research council (BBSRC) grant BB/P013732/1. D.D.O. was supported by MRC grant MR/M010341/1. C.P. is supported by the Simons Foundation Autism Research Initiative. Flow cytometry data was generated with support from the Queen’s Medical Research Institute (QMRI) and Roslin Institute Flow Cytometry and cell sorting facility, University of Edinburgh. Histology data was generated with support from Easter Bush Pathology and Shared University Research Facilities at the University of Edinburgh. We thank the assistance provided by animal technicians at the University of Edinburgh, particularly Christine Marshall.
Author contributions
D.A.H. and C.P. conceived the study. P.H. and D.D.O. supervised the CRISPR/Cas9 work. R.R., D.A.H. and C.P. wrote the manuscript. K.G., E.W., V.E.M., D.A.D.M, J.P., N.A.M. and K.M.S. edited the manuscript. R.R., A.R., D.D.O., L.L., K.G., E.W., M.C., I.G., A.S., Z.M.L., J.A., B.B., I.M., H.D., R.J.L., D.A.D.M., J.D.G., R.W., S.J.J., M.B. and C.P. performed experiments. E.D. and I.A. provided ChIP-seq and ATAC-seq data. R.R., G.E.H., K.M.S., D.A.H. and C.P. analyzed data.
Data availability
The authors declare that all data supporting the findings in this study are available within the article and its Supplementary Information files or from the corresponding authors on reasonable request. The RNA expression datasets are publicly available in the gene expression omnibus (GEO; https://www.ncbi.nlm.nih.gov/gds) via the accession number GSE108207. Published ATAC-seq and ChIP-seq data used in this manuscript is available via GEO accession number GSE63341. The RNA-seq data used to curate cell type specific genes in the brain is available via GEO accession number GSE73721. The data used to identify microglia-enriched genes versus macrophage genes is available via GEO accession number GSE48579. All other data contained within this manuscript is located in the Source Data excel file.
Competing interests
The authors declare no competing interests.
Footnotes
Peer review information: Nature Communications thanks the anonymous reviewer(s) for their contribution to the peer review of this work. Peer reviewer reports are available.
Publisher’s note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
These authors jointly supervised this work: David A. Hume, Clare Pridans.
Contributor Information
David A. Hume, Email: David.Hume@uq.edu.au
Clare Pridans, Email: clare.pridans@ed.ac.uk.
Supplementary information
Supplementary Information accompanies this paper at 10.1038/s41467-019-11053-8.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The authors declare that all data supporting the findings in this study are available within the article and its Supplementary Information files or from the corresponding authors on reasonable request. The RNA expression datasets are publicly available in the gene expression omnibus (GEO; https://www.ncbi.nlm.nih.gov/gds) via the accession number GSE108207. Published ATAC-seq and ChIP-seq data used in this manuscript is available via GEO accession number GSE63341. The RNA-seq data used to curate cell type specific genes in the brain is available via GEO accession number GSE73721. The data used to identify microglia-enriched genes versus macrophage genes is available via GEO accession number GSE48579. All other data contained within this manuscript is located in the Source Data excel file.