Abstract
A significant challenge in the study of neuroimmune responses is the identification and separation of resident microglia from infiltrating bone marrow-derived macrophages. Therefore, we investigated whether dual labelling of Cx3cr1 and Ccr2 is sufficient to discriminate retinal microglia from infiltrating macrophages in mice that develop spontaneous autoimmune uveoretinitis–a condition dependent on infiltration of lymphocytes and antigen presenting cells from the circulation into the retina. Mice expressing red fluorescent protein (RFP) under control of the Ccr2 promoter and green fluorescent protein (GFP) under control of the Cx3cr1 promoter (Ccr2RFPCx3cr1GFP mice) were crossed with the uveitogenic R161H mouse line. Retinas of R161Hneg x Ccr2RFP+/-Cx3cr1GFP+/- F1 mice, including those given an optic nerve crush injury to stimulate retinal MG expansion, and R161H+/- x Ccr2RFP+/-Cx3cr1GFP+/- F1 mice were analyzed for RFP and GFP expressing cells by fundoscopy, flow cytometry, fluorescence microscopy, and for Ccr2 expression by single cell RNA sequencing of retinal CD45+ cells. Retinas from control and optic nerve crushed R161Hneg x Ccr2RFP+/-Cx3cr1GFP+/- F1 mice contained a single population of CD45+ cells expressing a uniquely high level of GFP but were devoid of RFP+ cells, while retinas from R161H+/- x Ccr2RFP+/-Cx3cr1GFP+/- F1 mice had GFPhi cells and increasing amounts of GFPnegRFP+ and GFPlo-medRFP+ cells as uveoretinitis progressed. Thus, dual labelling of Ccr2 and Cx3cr1 can distinguish retinal microglia from infiltrating immune cells, and as GFP+, RFP+, and GFP+RFP+ cells can be easily separated by flow cytometry, our system provides a method for their separation for downstream cellular analysis.
Keywords: autoimmunity, inflammation, macrophage, microglia, retina
Introduction
Microglia (MG) are derived from embryonic yolk sac progenitor cells, reside within the parenchyma of central nervous system (CNS) tissue, including the retina, and are essential for the development and maintenance of neuronal tissue (1–3). MG also act as innate immune cells functioning like macrophages derived from bone marrow monocytic precursors. Under normal physiological conditions, MG are maintained in the retina with little, if any, input from bone marrow-derived precursors (4–7). However, under conditions that allow circulating myeloid cells to enter the retina, the retinal microenvironment compels those cells to become the phenotypic and functional equivalent of the endogenous MG (6, 8, 9). Thus, during ocular inflammatory events, especially those involving a breach of the blood-retina barrier, it remains a challenge to discriminate and isolate MG from infiltrating macrophages to study their role and response in the immune process.
Much effort has been spent on identifying markers that are specific for MG (7, 10–13). Tmem119 (14), a key regulator of phagocytic activity, and P2ry12 (15), essential for MG motility and migration, were found to be highly expressed in homeostatic (resting) MG and gained acceptance as unique identifiers of MG. However, recent research has shown these markers are often downregulated in MG (16–20) and can be upregulated in infiltrating myeloid cells (9, 21) during pathogenic events, calling into question their utility in discriminating MG from bone marrow-derived macrophages.
Cx3cr1 (fractalkine receptor) is expressed on a variety of circulating immune cells, however in the CNS, it is found nearly exclusively on MG (22–24). Ccr2 is a C-C chemokine receptor found on circulating myeloid cells and lymphocytes and is crucial for their migration into tissues including the CNS (25–28). Thus, we reasoned that if normal retinas lacked Ccr2+ cells we could use the transgenic expression of green fluorescent protein (GFP) under control of the Cx3cr1 promoter and red fluorescent protein (RFP) under control of the Ccr2 promoter to distinguish resident MG from Ccr2+ infiltrating immune cells including bone marrow-derived macrophages. Using a double transgenic Ccr2RFPCx3cr1GFP reporter mouse, we report here that normal mice and mice with a sterile inflammatory injury to the retina are replete with a unique population of GFPhi cells (MG) but are devoid of RFP+ cells (Ccr2+ cells), while mice with spontaneous autoimmune uveoretinitis (SAU)--a condition dependent upon the recruitment of lymphocytes and myeloid cells into the retina--contain RFP+ and GFPlo-medRFP+ cells along with the unique GFPhi cell population. As cells expressing these reporter genes are easily distinguished and separated by flow cytometric methods, our system provides a convenient method for isolating MG from infiltrating macrophages for further analysis.
Methods
Mice
Wild type B6/J mice and Ccr2RFPCx3cr1GFP mice (B6/J background) (29, 30) were obtained from The Jackson Laboratories (strain nos. 000664 and 032127; Bar Harbor, ME, USA). R161H mice are a CD4+, alpha/beta T cell receptor transgenic mouse (B10.RIII background) specific for a peptide of interphotoreceptor retinoid binding protein (IRBP, peptide 161-180) that develops clinically detectable spontaneous autoimmune uveoretinitis (SAU) starting at 3–4 weeks of age that rapidly progresses to severe disease (31–33). R161H breeders were provided by Dr. Rachel Caspi (National Eye Institute, National Institutes of Health, Bethesda, MD, USA). R161H mice were bred and used as heterozygotes (R161H+/-). All experimental mice were produced by mating male R161H+/- mice with female B6/J or Ccr2RFPCx3cr1GFP mice homozygous for the reporter transgenes. The presence or absence of the transgenes was confirmed in all F1 mice by PCR on DNA obtained from tail snips. Heterozygosity of the R161H transgenes on a B10R.III x B6/J F1 background is sufficient to induce SAU (34, 35). As both Ccr2RFP and Cx3cr1GFP are knock-in/knock out alleles, heterozygosity of these transgenes preserve a functional allele for each gene in all cells and is sufficient for reporter gene detection. All mice were rd8 negative (36) with all R161Hneg and B6/J mice showing no evidence of retinal degeneration or inflammation. All animal protocols were performed in accordance with the Association for Research in Vision and Ophthalmology (ARVO) Statement for Use of Animal in Ophthalmic and Vision Research and University of Minnesota Institutional Animal Care and Use Committee guidelines. Mice were housed under cyclic light in specific pathogen-free conditions. Euthanasia was by CO2 inhalation at a flow rate of 25 L/min in a multi-cage chamber with death confirmed by cervical dislocation.
Retinal fundus imaging
Mice were anesthetized by inhalation of 3% isoflurane (Piramal, Bethlehem, PA, USA) to induce sedation then 1% isoflurane to maintain sedation using a SomnoFlo electronic vaporizer (Kent Scientific, Torrington, CT, USA). Pupils were dilated by corneal application of 4 μL of a solution containing 1 part 1.0% tropicamide (Alcon, Fort Worth, TX, USA) and 1 part 2.5% phenylephrine (SOLA Pharmaceuticals, Baton Rouge, LA, USA). A drop of 0.5% Proparacaine (Bausch + Lomb, Rochester, NY, USA) was applied after dilation but prior to fundoscopic imaging as analgesic. Corneal hydration was maintained by liberal application of Systane (Alcon) or GenTeal (Alcon). Retinal images were obtained using a Micron IV retinal imaging system (Phoenix Micron, Bend, OR, USA). White light (brightfield) and fluorescence images were obtained. A 469/35 nm band pass excitation filter in conjunction with a 525/50 nm band pass emission filter was used for GFP detection and a 562/40 nm band pass excitation filter in conjunction with a 624/40 nm band pass emission filter was used for RFP detection (Semrock, West Henrietta, NY, USA). Clinical scoring of SAU based on fundoscopy was on a scale of 0 (no disease) to 4 as described (37).
Optic nerve crush
Mice were anesthetized with isoflurane as described above. The optic nerve was exposed as reported (38, 39) and a limited injury to the retinal ganglion cells was induced by clamping the optic nerve with Carlson DSEK graft forceps (150 μm gap, cat. no. 2197E, Ambler Surgical, Exton, PA, USA) for 3–5 seconds at a position 2 mm from the pole of the globe (40, 41). Ophthalmic antibiotic ointment (Bausch + Lomb) was then applied to the eye with daily monitoring of the eye through the end of the experiment.
Flow cytometry
Mice were euthanized, perfused, and the retinas removed as described (38, 40, 42, 43). Retinas were individually dissociated at 37 °C for 30 minutes in a solution of 0.5 mg/mL Liberase/Blendzyme3 (Roche, Indianapolis, IN, USA) and 0.05% DNase in calcium, magnesium-free Dulbecco’s phosphate buffered saline (DPBS) with gentle trituration every 10 minutes. The retina samples were then incubated at 4 °C with the indicated fluorescent-labeled antibodies (BD Bioscience, Franklin Lakes, NJ, USA; Biolegend, San Diego, CA, USA; eBioscience, San Diego, CA, USA) for a minimum of 30 minutes, resuspended in DPBS with 2% fetal bovine serum (FBS) and analyzed using a BD Fortessa flow cytometer (BD Bioscience). An entire retina comprises a single sample, thus each sample represents the entire population of any specified immune cell(s) within that retina. Data analysis was done with FlowJo software (BD Bioscience). Blood samples were obtained by submandibular bleeding and collected in DPBS with 2 units/mL heparin (44). Red blood cells were lysed with 3 mL of 0.17 M NH4Cl (10 minutes at 37 °C), samples washed with DPBS, lysed again, with the remaining cells then resuspended in DPBS with 2% FBS. Samples were then stained with indicated labeled antibodies for 30–60 minutes at 4 °C, washed, and resuspended in DPBS with 2% FBS, and then analyzed. Statistical analysis of flow cytometry data given as mean or mean ± standard deviation with statistical comparison by t test as indicated.
Fluorescence microscopy
Mice were euthanized and perfused with DPBS with 2 units/mL heparin followed by 4% paraformaldehyde in DPBS. After 5 minutes the mice were perfused again with DPBS. The eyes were removed and the retinas dissected out and cut radially to lay flat. The retinas were washed 3 x 5 minutes with DPBS, blocked for at least one hour with 10% normal donkey serum and 0.3% Triton X-100 in DPBS at room temperature and washed again 3 x 5 minutes. Primary antibodies against GFP (cat no. NB600-597, mouse anti-GFP, Novus Biologicals, Centennial, CO, USA) and RFP (cat no. NBP3-25634, rabbit anti-RFP, Novus Biologicals) were diluted 1:200 with DPBS and applied to the retinas and held at 4°C for at least 12 hours in dark conditions then washed 3 x 5 minutes with DPBS. Secondary antibodies (cat no. A21202, donkey anti-mouse Alexa Fluor 488 and cat. no. A31573, donkey anti-rabbit Alexa Fluor 647, Invitrogen/Thermo Fisher, Waltham, MA, USA) were diluted 1:800 in DPBS and applied to the retinas for 3 hours at room temperature in dark conditions. The retinas were washed 3 x 5 minutes with DPBS then stained with Hoechst 33258 (AAT Bioquest, Pleasanton, CA, USA) diluted 1:1000 with DPBS for 5 minutes at room temperature in dark conditions. The retinas were washed 2 x 5 minutes with DPBS then mounted onto slides. The retinas were imaged and analyzed using a Keyence BZ-X800 fluorescence microscope (Keyence, Itasca, IL, USA).
Single cell RNA sequencing
Transcriptomic analysis of retinal MG is based on the methods of the Saban laboratory (45–47) and was performed in cooperation with the University of Minnesota Genomics Core facility. SAU status was assessed by fundoscopy and 6–12 retinas from each group were harvested and pooled. Groups included control mice (R161Hneg x B6/J F1) and three test groups of R161H+/- x B6/J F1 mice — pre-SAU and with active and resolving SAU. Retinas were harvested and dissociated as described above, resuspended in Tyto running buffer, stained with anti-mouse CD45 APC (eBioscience), with CD45+ cells then isolated using a Miltenyi Tyto Cell Sorter (Miltenyi Biotec, Gaithersburg, MD, USA). 10,000 (control), 20,000 (pre and active SAU), and 2,000 (resolving SAU) retinal CD45+ cells were collected with cell count and viability (> 98.5% for all populations) determined using a LUNA-FL cell counter (Logos Biosystems, Fairfax, VA, USA). 10x Genomics (Pleasanton, CA, USA) Single Cell 3’ chemistry (v4) was used to generate Gel Bead-In Emulsions (GEM) and perform post GEM-reverse transcription cleanup, cDNA amplification, and library construction. Input RNA and cDNA quality of the libraries was assessed by Agilent D5000 TapeStation (Agilent Technologies, Santa Clara, CA, USA) and Qubit dsDNA High Sensitivity (Thermo Fisher) assays. Libraries were pooled and sequenced to target 80,000-100,000 unique reads per cell using UG 100 (Ultima Genomics, Fremont, CA, USA) sequencing. The raw sequence data was processed through Cell Ranger software (10x Genomics) to acquire.cloupe files with expression analysis performed using Loupe Browser software (10x Genomics). Identification of cell clusters was determined by the Loupe Browser software and was based on identifying highly significant (by expression p values), differentially expressed (upregulated) genes in any one cluster compared to all other clusters.
Results
Visual comparison of control and SAU inflamed retinas
As we reasoned that infiltrating CD45+ immune cells (whether macrophages or lymphocytes) could be distinguished from resident MG of the retina by expression of Ccr2, we first visualized the retinas of control (B6/J and R161Hneg x Ccr2RFP+/-Cx3cr1GFP+/- F1 mice, n = 4 for both) and SAU (R161H+/- x Ccr2RFP+/-Cx3cr1GFP+/- F1 mice, n = 4) mice by fundoscopy (Figure 1). For all mice examined, expression of GFP under control of the Cx3cr1 promoter allowed a clear visualization of resident retinal MG in the R161Hneg x Ccr2RFP+/-Cx3cr1GFP+/- F1 control mice, while retinal cells expressing Ccr2 (RFP) were not detected (Figure 1, second row). In contrast, in all mice that developed SAU we observed an infiltration of both RFP+ and GFP+ cells starting about 30 days of age that increased by 40 and 50 days of age (Figure 1, bottom three rows). That the infiltrating cells were primarily perivascular and around the optic nerve head is typically of SAU pathology (31–35), however the presence of RFP+ cells was observed throughout the retina.
Figure 1.

Fundoscopic examination of representative control (B6 and R161Hneg x Ccr2RFP+/-Cx3cr1GFP+/- F1) and SAU (R161H+/- x Ccr2RFP+/-Cx3cr1GFP+/- F1) retinas for infiltration of RFP+ and RFP+GFP+ cells. Age of mouse indicated. The same field of view for each mouse/time point was analyzed by brightfield fundoscopy and for RFP and GFP fluorescence. Arrows indicate areas of perivascular infiltration at 40 days of age in the R161H+/- x Ccr2RFP+/-Cx3cr1GFP+/- F1 mouse (SAU score = 1.0).
Since fundoscopic analysis is limited by low sensitivity and the inability to distinguish whether the infiltrating cells were RFP+ only or RFP+GFP+, we analyzed the retinas of the above control and SAU mice by fluorescence microscopy at 50 days of age (Figure 2). In addition to analyzing the retinas of wild type B6/J mice (Figure 2, top), which set the background fluorescence and were negative for GFP+ and RFP+ cells, we also analyzed retinas from mice that were homozygous for the GFP and RFP reporter genes (Ccr2RFP+/+Cx3cr1GFP+/+, Figure 2, second row). The enhanced expression of GFP and RFP resulting from the reporter genes being homozygous allowed us to visualize the dendriform cellular morphology of the GFP+ cells confirming that they are resident MG and to show, even with enhanced expression of RFP, that Ccr2+ cells were not detected in normal retinas. As expected, analysis of R161Hneg x Ccr2RFP+/-Cx3cr1GFP+/- F1 retinas showed GFP+ MG. However, these cells were negative for RFP expression nor were there any RFP+ only cells (Figure 2, third row). In contrast, R161H+/- x Ccr2RFP+/-Cx3cr1GFP+/- F1 retinas, even with only a modest level of SAU (score = 1.0, fundoscopy not shown) contained numerous RFP+ and RFP+GFP+ cells compared to the number of GFP+ only cells (Figure 2, bottom). We note that these GFP+ only cells have now assumed an ameboid morphology indicating that the resident MG have responded to the cellular infiltration associated with SAU.
Figure 2.

Fluorescence microscopy of representative control (B6/J, Ccr2RFP+/+Cx3cr1GFP+/+, and R161Hneg x Ccr2RFP+/-Cx3cr1GFP+/- F1) and SAU (R161H+/- x Ccr2RFP+/-Cx3cr1GFP+/- F1) mouse retinas for RFP and GFP at 50 days of age. 40x magnification.
Flow cytometry analysis of control and SAU inflamed retinas
Since fundoscopy and fluorescence microscopy only visualize a small portion of the retina, we then analyzed retinas by flow cytometry as this would allow us to investigate the entire immune cell population of the retina (Figure 3). As controls, we first analyzed CD45+ peripheral blood mononuclear cells (PBMC) from B6/J mice for background GFP and RFP fluorescence (Figure 3A) and then PBMC from Ccr2RFP+/+Cx3cr1GFP+/+ mice, which confirmed the presence of circulating RFP+, GFP+, and RFP+GFP+ cells (Figure 3B). We then analyzed all CD45+ cells from wild type B6/J retinas to set the background retinal RFP and GFP fluorescence (GFPneg cells, Figure 3C). Analysis of all CD45+ cells from R161Hneg x Ccr2RFP+/-Cx3cr1GFP+/- F1 retinas showed that most (82.8 ± 1.1%) of them comprised a single population that expressed a high level of GFP (Cx3cr1) suggesting they are MG (Figure 3D, gate 1). However, the high sensitivity of flow cytometry also allowed us to observe a very small percentage of CD45+RFP+ cells (Ccr2+, 1.1 ± 1.0%) that were widely scattered. As MG in physiologically normal retinas are characterized as being CD45medSSClo (7, 34), we specifically gated on that population (Figure 3D, gate 2) confirming that most of the cells (88.7 ± 4.7%) were GFPhi (Cx3cr1+) and all were devoid of an intermediate level of GFP expression (GFPlo-med) and RFP (Ccr2) expression. As we and others have shown that normal retinal parenchyma does contain a small (30–50 cells), transient population of T cells (34, 48–51), we attribute the RFP+ (Ccr2+) cells found in the CD45hi population as being lymphocytes. To confirm this, we analyzed the CD45hi population (gate 3) by itself for RFP and found that it contained all the CD45+RFP+ cells (data not shown).
Figure 3.

Flow cytometry distinguishes retinal MG from infiltrating macrophages. (A, B) Analysis of peripheral blood mononuclear cells for RFP and GFP expression showing the background levels of RFP and GFP fluorescence in B6/J mice (A) and the presence of RFP+, GFP+ and RFP+GFP+ cells in the circulation of Ccr2RFP+/+Cx3cr1GFP+/+ mice (B). The gating strategy for selecting CD45+ cells from B6/J mice is the same as shown for Ccr2RFP+/+Cx3cr1GFP+/+ mice. (C) Representative analysis of a B6/J mouse showing background levels of RFP and GFP fluorescence in retinal CD45+ cells. Background fluorescence for GFP indicated as GFPneg cells. (D) Representative analysis of R161Hneg x Ccr2RFP+/-Cx3cr1GFP+/- F1 retinas showing that a minimal number of all CD45+ cells (gate 1) express Ccr2 (RFP), and that a single population comprising most of the CD45+ cells and specifically the CD45med cells (gate 2) express a high level of Cx3cr1 (GFP). Retinal CD45+ cells negative for GFP expression (GFPneg) or with a low or intermediated level of GFP expression (GFPlo-med) are indicated. (E) Representative analysis of R161H+/- x Ccr2RFP+/-Cx3cr1GFP+/- F1 retinas with SAU showing a large increase in both CD45med and CD45hi cells with most of the RFP+ cells found in the CD45hi population as either RFP+GFPneg or RFP+GFPlo-med cells and that they are myeloid cells or lymphocytes. For all analyses; retinal MG indicated by red circles, flow cytometry done at 50 days of age, n = 4 for all groups of mice, and the mean percentage of cells in each quadrant for all mice analyzed is indicated.
Consistent with our previous findings (34), R161H+/- x Ccr2RFP+/-Cx3cr1GFP+/- F1 retinas with SAU showed an expansion in the number of retinal MG (compare CD45med populations in SSC-A vs. CD45 plots from Figure 3D, E). However, the relative percentage of MG (GFPhiRFPneg cells) within the CD45med population was slightly but statically significantly reduced (77.5% vs 88.7%, p = 0.01 by t test) in SAU due to an increase in the number of undefined GFPnegRFPneg cells infiltrating the retina during SAU. There was an exponential increase in the number of retinal CD45hi cells in SAU retinas versus controls which contained vast majority of all RFP+ cells (96.0 ± 3.0%, compare Figure 3E, gates 2 vs.3 plots) as either RFP+GFPneg or RFP+GFPlo-med cells, indicative of an infiltration of circulating lymphocytes and myeloid cells into the retina. Analysis of the RFP+ cells within the CD45hi population for CD11b and CD4 verified they were either a myeloid cell or a T cell (Figure 3E, bottom right). Although most MG in R161H+/- x Ccr2RFP+/-Cx3cr1GFP+/- F1 retinas were found in the CD45med population we did observe some associated with our defined CD45hi population (Figure 3E, gate 3). A more stringent gating around the SSCloCD45hi main cell population within gate 3 eliminated the MG from this analysis (data not shown) suggesting that inflammation can alter CD45 levels in retina MG, but they retain their uniquely high level of Cx3cr1 expression. While most RFP+GFP+ cells had a lower level of GFP expression than MG from R161Hneg x Ccr2RFP+/-Cx3cr1GFP+/- F1 control retinas (Figure 3E, bottom row), we observed the presence of a small number of RFP+ cells, particularly from the CD45med population (gate 2), with the similar level of GFP expression as the resident MG. However, their lack of being a discrete population, the distinct lack of Ccr2 expression in retinal MG from R161Hneg x Ccr2RFP+/-Cx3cr1GFP+/- F1 mice, and the lack of Ccr2 expression in MG with higher CD45 expression (Figure 3E, gate 3) does suggest that, aside from the small population of T cells associated with quiescent retinas, all Ccr2+ cells in the retinas of R161H+/- x Ccr2RFP+/-Cx3cr1GFP+/- F1 mice were derived from circulating precursors and, within the context of the Ccr2RFPCx3cr1GFP dual reporter system, that retinal MG can be identified by their uniquely high level of GFP (Cx3cr1) expression and lack of RFP (Ccr2) expression (RFPnegGFPhi cells) in both normal and inflamed retinas.
Expansion of retinal microglia by sterile inflammatory injury does not produce Ccr2+ cells within the retina
To show that expansion of retinal MG can occur without recruitment of Ccr2+ cells from the circulation or without the induction of Ccr2 expression in retinal cells including MG, we analyzed the retinas from six R161Hneg x Ccr2RFP+/-Cx3cr1GFP+/- F1 mice following optic nerve crush (ONC) injury (Figure 4). ONC is an established and accepted model used in glaucoma research as it mimics the damage and death to retinal ganglion cells associated with increased intraocular pressure (39). In studying the retinal immune response to ONC injury we found that it is a subset of the resident retina/optic nerve microglia that can act as conventional dendritic cells that expands in response to the insult and there is no input or recruitment of circulating monocytes to the retina (38, 40, 41). As the retinal immune response to the ONC peaks 10 days post-injury (38), post-ONC analysis of the retinas by fundoscopy and flow cytometry was done at that time. Success of the ONC at inducing injury to retinal ganglion cells was evidenced by the expansion of Cx3cr1+ (GFP+) cells (MG) and their migration to form a radial pattern as they associate with the injured ganglion cells compared to pre-ONC retinas (Figure 4A) (38, 40, 41). However, for all mice, both pre-ONC and post-ONC retinas were devoid of Ccr2+ (RFP+) cells (Figures 4A, B, see also Figure 3C). Thus, in addition to confirming our previous findings that expansion of retinal MG in response to sterile inflammatory injury is from retinal and optic nerve progenitors (41), this data supports our idea that retinal Ccr2+ cells occurring during an inflammatory event represent either infiltrating macrophages or lymphoid cells and are distinct from resident MG.
Figure 4.

Analysis of R161Hneg x Ccr2RFP+/-Cx3cr1GFP+/- F1 retinas for Ccr2+ (RFP+) cells following ONC. (A) Representative fundoscopy of pre-ONC and day 10 post-ONC retinas. (B) Representative flow cytometry analysis of retinal CD45med cells for RFP and GFP at day 10 post-ONC with mean percentage of CD45med cells expressing GFP and RFP from all examined retinas indicated.
Single cell RNA sequencing of control and SAU inflamed retinas
As we sought further verification that Ccr2 was a valid factor in discriminating infiltrating macrophages from resident MG, we examined the data sets from an on-going single cell RNA sequencing (scRNA-seq) analysis of retinal CD45+ cells recovered from control (R161Hneg x B6/J F1) and SAU (R161H+/- x B6/J F1) mice (Sherman, et. al., manuscript in preparation). Although these mice do not carry the Ccr2RFP and Cx3cr1GFP reporter transgenes, they do provide an orthogonal approach for assaying the distribution of endogenous Ccr2 expression in retinal CD45+ populations (Figure 5). Close examination of a small cluster of cells (cluster 1) from control mice, identified as T cells, showed Ccr2 expression in a fraction of those cells, which is consistent with the above flow cytometry data, However, Ccr2 expression was not detected in other CD45+ cells from control retinas. Conversely, in R161H+/- x B6/J F1 mice, Ccr2 expression was limited and observed primarily in T cells (cluster 1) and myeloid cells (cluster 2) prior to SAU onset (pre-disease) but was found in many retinal CD45+ cells in mice with either active or resolving SAU. We note that the small number of Ccr2+ cells in pre-disease mice compared to active disease mice is consistent with our previous findings in which pre-disease mice had increased levels of retinal T cells and myeloid cells over background, but significantly fewer of those cells than was found in active disease mice (34). This data independently supports our reporter-based observations that Ccr2 expression is essentially absent from quiescent retina CD45+ cells, thus, in part, making it useful for distinguished retinal MG from infiltrating macrophages.
Figure 5.

Analysis of retinal CD45+ cells for Ccr2 expression by scRNA-seq. Cells negative (gray) or positive (purple) for Ccr2 expression are shown. Clusters 1 (T cells) and 2 (myeloid cells) were identified by highly expressed genes. Enlargement of cluster 1 from control mice showing occasional Ccr2+ cell provided.
Discussion
A clear distinction between resident MG of the retina and infiltrating macrophages and the ability to separate them is crucial for investigating their role(s) in ocular inflammatory events involving the retina. Previous protocols to identify and separate MG from infiltrating macrophages by flow cytometry have been encumbered by the high number of markers needed to identify either cell type (52, 53), the use of markers that are not necessarily unique to retinal MG [Tmem119 (10, 54),], or the use of markers that vary in their expression depending on the nature and course of the inflammatory event [MHC class II, CD11b, CD45 (55, 56),]. In this study we describe a system that relies on the dual reporting of Ccr2RFP and Cx3cr1GFP to uniquely separate resident MG from infiltrating macrophages in the retina.
The success of this system is based on the uniquely high expression of Cx3cr1 in MG and the near total lack of Ccr2+ cells in the quiescent retina. With respect to Cx3cr1GFP expression, although we observed an undefined population of CD45+GFPneg cells in the retinas of R161Hneg x Ccr2RFP+/-Cx3cr1GFP+/- F1 mice, we did not find any CD45+ cells that expressed either low or intermediate levels of GFP (GFPlo-med). In conjunction with the idea that Cx3cr1 expression is limited to MG in CNS tissue (22–24), our finding using flow cytometry of a single GFP+ population in quiescent retina shows that retinal MG can, in part, be uniquely and exclusively and identified by their high level of Cx3cr1 promoted GFP expression. That Cx3cr1 expression contributes to the unique identification of retinal MG even during an inflammatory event involving infiltrating immune cells was evidenced by the continued presence of a distinct cell population with the highest level of GFP expression whether it was derived from CD45med or CD45hi cells in R161H+/- x Ccr2RFP+/-Cx3cr1GFP+/- F1 mice with active SAU. Our finding that retinal MG are characterized by a high level of Cx3cr1 expression is consistent with other studies suggesting that it is a marker of cells that have successfully established tissue residency and contribute to niche-specific immune surveillance (57–59).
It is well established that Ccr2 is necessary for the egress of monocytic cells from bone marrow and their infiltration into tissues (60, 61). While Ccr2 expression is often downregulated after tissue entry (57, 62), recent research has demonstrated there is often a continued presence of Ccr2 on infiltrating monocytes (63, 64) which can promote healing or lead to either chronic inflammation or fibrosis (65–67) depending on the local microenvironment and the persistence of Ccr2 expression. Our observation with scRNA-seq that Ccr2 is expressed on a significant portion of retinal CD45+ cells from mice with resolving SAU supports the idea that continued Ccr2 expression is associated with, and likely influences the ultimate outcome of, retinal inflammatory events. Persistent ocular expression of Ccr2 following experimental autoimmune uveoretinitis (EAU) has also been observed, but whether this favors chronic inflammation or promotes disease recovery is still a matter of investigation (68, 69). It is of interest to note that genetic knockouts have shown Ccr2 to be dispensable for induction of EAU in B6/J mice but required in the Aire knockout model of EAU (70–72).
To validate the use of Ccr2 in discriminating retinal MG from infiltrating macrophages we established by multiple techniques that Ccr2 (RFP) expression in the quiescent retina was limited to a very minute number of lymphoid cells that could be easily distinguished from MG and that stimulation of retinal MG by a method that does not involve a breach of the blood retina barrier does not promote Ccr2 expression by retinal cells. Further validation that our system uniquely identifies retinal MG as being Cx3cr1hiCcr2neg (GFPhiRFPneg) comes from our finding that GFP levels in RFP+ cells recovered from R161H+/- x Ccr2RFP+/-Cx3cr1GFP+/- F1 retinas at the peak of the inflammatory response remain below that found in MG from quiescent retina. Thus, using the dual Ccr2RFPCx3cr1GFP reporter system we can identify resident retinal MG as being Ccr2negCx3cr1hi (RFPnegGFPhi) with infiltrating macrophages being either RFP+GFPlo-med or, if Ccr2 expression has been shut down after tissue entry, GFPlo-med only. As this system requires only three fluorescent antibodies or markers to identify retinal MG versus infiltrating macrophages/lymphocytes it allows the use numerous other markers to confirm the identity of the cells (e.g., CD3/CD4, CD11b, Ly6G/Ly6C) and for the interrogation of cell status or function (e.g., MHC-class II, CD80/86, F4/80) by flow cytometry. Further, the unique cytometric profile of retinal MG and the expression of RFP on cells infiltrating the retina allows them to be easily sorted by flow cytometry for subsequent transcriptomic analysis.
Given the variable expression and downregulation of Ccr2 after tissue entry (57, 62), the association of Cx3cr1 expression with tissue residency (59), and the influence of the retina on recruited monocytes to resemble MG as a condition for residency (6, 8, 9), it remains a formal possibility for SAU or other retinal inflammatory conditions that recruited macrophages could shut down Ccr2 expression and upregulate Cx3cr1 expression to the point where they become indistinguishable from resident MG in our reporter system. A determination of this would be difficult as it would require longitudinal study of the inflammatory condition over time with a congenic CD45 maker provided by parabiosis or bone marrow transplantation with appropriate head shielding—experiments beyond the scope of this manuscript. However, the continued expression of Ccr2 observed by us and others through late and resolving inflammation (63–67) does suggest that our system would be useful for analysis of MG and infiltrating macrophages at late stage or in chronic inflammatory conditions. More importantly, since Ccr2 expression is likely occurring in all infiltrating monocytes at early and peak inflammation, and that in our system Cx3cr1 expression in RFP+ cells is not as high as in endogenous MG even at peak inflammation, we believe our system is particularly useful at distinguishing and separating infiltrating macrophages from retinal MG in retinal inflammatory events from a pre-clinical stage (no obvious pathology) through early and peak inflammation. Analysis of MG versus infiltrating macrophages at the pre-clinical or early inflammatory stages could be particularly useful as many of the cellular decisions that affect the subsequent inflammation and recovery occur at these times.
Although we have begun to examine how retinal MG change and possibly influence SAU by doing scRNA-seq analysis of retinal CD45+ cells over the course of disease, transcriptomic analysis of retinal MG isolated from R161H+/- x Ccr2RFP+/-Cx3cr1GFP+/- F1 retinas will provide us with analysis precisely focused on MG. Retinal autoimmunity is unique in that it might be possible to treat using local rather systemic immune modulation that alters antigen presentation, effector T cell function, or regulatory T cell activity (73). Use of the Ccr2RFPCx3cr1GFP reporter system in conjunction with SAU mice (R161H+/- x Ccr2RFP+/-Cx3cr1GFP+/- F1 mice) will allow us to do precise mechanistic studies as to whether the immune modulation exerts its effect through resident MG, recruited antigen presenting cells, or both. In addition, years of research have led to an appreciation, albeit incompletely understood, that immune cells are chronically involved in other prevalent and debilitating retinal pathologies including age-related macular degeneration, diabetic retinopathy, and retinitis pigmentosa (74). Use of the Ccr2RFPCx3cr1GFP reporter system in conjunction with mouse models of these pathologies would likely be useful in understanding the contribution of retinal MG versus infiltrating macrophages, an important aspect to understanding these diseases and to the development of novel, effective treatments.
Funding Statement
The author(s) declared that financial support was received for this work and/or its publication. Supported by the National Institutes of Health (National Eye Institute) grant RO1EY033328 (S.W.M.) and the Minnesota Lions Vision Foundation (S.W.M.).
Footnotes
Edited by: Andrew W. Taylor, Boston University, United States
Reviewed by: Thomas Langmann, University of Cologne, Germany
Yuan Liu, University of Miami Health System, United States
Data availability statement
The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.
Ethics statement
The animal study was approved by University of Minnesota Institutional Animal Care and Use Committee. The study was conducted in accordance with the local legislation and institutional requirements.
Author contributions
SM: Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing. LB: Data curation, Investigation, Methodology, Writing – review & editing. JS: Data curation, Investigation, Methodology, Writing – review & editing. AP: Data curation, Investigation, Methodology, Writing – review & editing. HR: Data curation, Investigation, Methodology, Writing – review & editing.
Conflict of interest
The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Generative AI statement
The author(s) declared that generative AI was not used in the creation of this manuscript.
Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
References
- 1. Ginhoux F, Greter M, Leboeuf M, Nandi S, See P, Gokhan S, et al. Fate mapping analysis reveals that adult microglia derive from primitive macrophages. Science. (2010) 330:841–5. doi: 10.1126/science.1194637 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2. Kierdorf K, Erny D, Goldmann T, Sander V, Schulz C, Perdiguero EG, et al. Microglia emerge from erythromyeloid precursors via Pu.1- and Irf8-dependent pathways. Nat Neurosci. (2013) 16:273–80. doi: 10.1038/nn.3318 [DOI] [PubMed] [Google Scholar]
- 3. Sierra A, Paolicelli RC, Kettenmann H. Cien anos de microglia: Milestones in a century of microglial research. Trends Neurosci. (2019) 42:778–92. doi: 10.1016/j.tins.2019.09.004 [DOI] [PubMed] [Google Scholar]
- 4. Huang Y, Xu Z, Xiong S, Qin G, Sun F, Yang J, et al. Dual extra-retinal origins of microglia in the model of retinal microglia repopulation. Cell Discov. (2018) 4:9. doi: 10.1038/s41421-018-0011-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5. Huang Y, Xu Z, Xiong S, Sun F, Qin G, Hu G, et al. Repopulated microglia are solely derived from the proliferation of residual microglia after acute depletion. Nat Neurosci. (2018) 21:530–40. doi: 10.1038/s41593-018-0090-8 [DOI] [PubMed] [Google Scholar]
- 6. Ma W, Zhang Y, Gao C, Fariss RN, Tam J, Wong WT. Monocyte infiltration and proliferation reestablish myeloid cell homeostasis in the mouse retina following retinal pigment epithelial cell injury. Sci Rep. (2017) 7:8433. doi: 10.1038/s41598-017-08702-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7. O'Koren EG, Mathew R, Saban DR. Fate mapping reveals that microglia and recruited monocyte-derived macrophages are definitively distinguishable by phenotype in the retina. Sci Rep. (2016) 6:20636. doi: 10.1038/srep20636 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8. McPherson SW, Heuss ND, Lehmann U, Roehrich H, Abedin M, Gregerson DS. The retinal environment induces microglia-like properties in recruited myeloid cells. J Neuroinflamm. (2019) 16:151. doi: 10.1186/s12974-019-1546-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9. Liu J, Lei F, Yan B, Cao T, Cui N, Sharma J, et al. Epigenetic adaptation drives monocyte differentiation into microglia-like cells upon engraftment into the central nervous system. bioRxiv. (2025). doi: 10.1101/2024.09.09.612126 [DOI] [Google Scholar]
- 10. Bennett ML, Bennett FC, Liddelow SA, Ajami B, Zamanian JL, Fernhoff NB, et al. New tools for studying microglia in the mouse and human CNS. Proc Nat Acad Sci USA. (2016) 113:E1738–1746. doi: 10.1073/pnas.1525528113 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11. Butovsky O, Jedrychowski MP, Moore CS, Cialic R, Lanser AJ, Gabriely G, et al. Identification of a unique TGF-beta-dependent molecular and functional signature in microglia. Nat Neurosci. (2014) 17:131–43. doi: 10.1038/nn.3599 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12. Satoh J, Kino Y, Asahina N, Takitani M, Miyoshi J, Ishida T, et al. TMEM119 marks a subset of microglia in the human brain. Neuropathology. (2016) 36:39–49. doi: 10.1111/neup.12235 [DOI] [PubMed] [Google Scholar]
- 13. Bottcher C, Schlickeiser S, Sneeboer MAM, Kunkel D, Knop A, Paza E, et al. Human microglia regional heterogeneity and phenotypes determined by multiplexed single-cell mass cytometry. Nat Neurosci. (2019) 22:78–90. doi: 10.1038/s41593-018-0290-2 [DOI] [PubMed] [Google Scholar]
- 14. Liu J, Wang Z, Liang W, Zhang Z, Deng Y, Chen X, et al. Microglial TMEM119 binds to amyloid-beta to promote its clearance in an Abeta-depositing mouse model of Alzheimer's disease. Immunity. (2025) 58:1830–46. doi: 10.1016/j.immuni.2025.04.018 [DOI] [PubMed] [Google Scholar]
- 15. Gomez Morillas A, Besson VC, Lerouet D. Microglia and neuroinflammation: What place for P2RY12? Int J Mol Sci. (2021) 22. doi: 10.3390/ijms22041636 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16. Mercurio D, Fumagalli S, Schafer MK, Pedragosa J, Ngassam LDC, Wilhelmi V, et al. Protein expression of the microglial marker Tmem119 decreases in association with morphological changes and location in a mouse model of traumatic brain injury. Front Cell Neurosci. (2022) 16:820127. doi: 10.3389/fncel.2022.820127 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17. Ruan C, Elyaman W. A new understanding of TMEM119 as a marker of microglia. Front Cell Neurosci. (2022) 16:902372. doi: 10.3389/fncel.2022.902372 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18. Ma W, Oswald J, Rios Angulo AR, Chen Q. Tmem119 expression is downregulated in a subset of brain metastasis-associated microglia. BMC Neurosci. (2024) 25:6. doi: 10.1186/s12868-024-00846-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19. Kumari A, Ayala-Ramirez R, Zenteno JC, Huffman K, Sasik R, Ayyagari R, et al. Single cell RNA sequencing confirms retinal microglia activation associated with early onset retinal degeneration. Sci Rep. (2022) 12:15273. doi: 10.1038/s41598-022-19351-w [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20. Vankriekelsvenne E, Chrzanowski U, Manzhula K, Greiner T, Wree A, Hawlitschka A, et al. Transmembrane protein 119 is neither a specific nor a reliable marker for microglia. Glia. (2022) 70:1170–90. doi: 10.1002/glia.24164 [DOI] [PubMed] [Google Scholar]
- 21. Bungert AD, Sanchin A, Blank A, Jungst-Mieczkowska M, Muller A, Felsenstein M, et al. Microglia-specificity of different markers is overridden in glioblastoma specimens. Sci Rep. (2026) 16. doi: 10.1038/s41598-026-52315-y [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22. Lee M, Lee Y, Song J, Lee J, Chang SY. Tissue-specific role of CX(3)CR1 expressing immune cells and their relationships with human disease. Immune Netw. (2018) 18:e5. doi: 10.4110/in.2018.18.e5 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23. Murai N, Mitalipova M, Jaenisch R. Functional analysis of CX3CR1 in human induced pluripotent stem (iPS) cell-derived microglia-like cells. Eur J Neurosci. (2020) 52:3667–78. doi: 10.1111/ejn.14879 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24. Zhao XF, Alam MM, Liao Y, Huang T, Mathur R, Zhu X, et al. Targeting microglia using Cx3cr1-Cre lines: Revisiting the specificity. eNeuro. (2019) 6. doi: 10.1523/eneuro.0114-19.2019 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25. Bakos E, Thaiss CA, Kramer MP, Cohen S, Radomir L, Orr I, et al. CCR2 regulates the immune response by modulating the interconversion and function of effector and regulatory T cells. J Immunol. (2017) 198:4659–71. doi: 10.4049/jimmunol.1601458 [DOI] [PubMed] [Google Scholar]
- 26. Chu HX, Arumugam TV, Gelderblom M, Magnus T, Drummond GR, Sobey CG. Role of CCR2 in inflammatory conditions of the central nervous system. J Cereb Blood Flow Metab. (2014) 34:1425–9. doi: 10.1038/jcbfm.2014.120 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27. Clarkson BD, Walker A, Harris MG, Rayasam A, Sandor M, Fabry Z. CCR2-dependent dendritic cell accumulation in the central nervous system during early effector experimental autoimmune encephalomyelitis is essential for effector T cell restimulation in situ and disease progression. J Immunol. (2015) 194:531–41. doi: 10.4049/jimmunol.1401320 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28. Hoffman O, Varvel NH, Roopra AS, Dingledine R. Neuroinflammation and disease: Pathways and opportunities. Annu Rev Pharmacol Toxicol. (2026) 66:541–63. doi: 10.1146/annurev-pharmtox-062124-043519 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29. Jung S, Aliberti J, Graemmel P, Sunshine MJ, Kreutzberg GW, Sher A, et al. Analysis of fractalkine receptor CX(3)CR1 function by targeted deletion and green fluorescent protein reporter gene insertion. Mol Cell Biol. (2000) 20:4106–14. doi: 10.1128/mcb.20.11.4106-4114.2000 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30. Saederup N, Cardona AE, Croft K, Mizutani M, Cotleur AC, Tsou CL, et al. Selective chemokine receptor usage by central nervous system myeloid cells in CCR2-red fluorescent protein knock-in mice. PLoS One. (2010) 5:e13693. doi: 10.1371/journal.pone.0013693 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31. Chen J, Qian H, Horai R, Chan CC, Falick Y, Caspi RR. Comparative analysis of induced vs. spontaneous models of autoimmune uveitis targeting the interphotoreceptor retinoid binding protein. PLoS One. (2013) 8:e72161. doi: 10.1371/journal.pone.0072161 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32. Horai R, Chong WP, Zhou R, Chen J, Silver PB, Agarwal RK, et al. Spontaneous ocular autoimmunity in mice expressing a transgenic T cell receptor specific to retina: A tool to dissect mechanisms of uveitis. Curr Mol Med. (2015) 15:511–6. doi: 10.2174/1566524015666150731095201 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33. Horai R, Silver PB, Chen J, Agarwal RK, Chong WP, Jittayasothorn Y, et al. Breakdown of immune privilege and spontaneous autoimmunity in mice expressing a transgenic T cell receptor specific for a retinal autoantigen. J Autoimmun. (2013) 44:21–33. doi: 10.1016/j.jaut.2013.06.003 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34. McPherson SW, Heuss ND, Abedin M, Roehrich H, Pierson MJ, Gregerson DS. Parabiosis reveals the correlation between the recruitment of circulating antigen presenting cells to the retina and the induction of spontaneous autoimmune uveoretinitis. J Neuroinflamm. (2022) 19:295. doi: 10.1186/s12974-022-02660-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35. Sherman J, Burgstaler L, Li Y, Roehrich H, Gregerson DS, McPherson SW. The role of retinal antigen-presenting cells in spontaneous retinal autoimmunity. Invest Ophthalmol Vis Sci. (2025) 66:26. doi: 10.1167/iovs.66.11.26 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36. Mattapallil MJ, Wawrousek EF, Chan CC, Zhao H, Roychoudhury J, Ferguson TA, et al. The Rd8 mutation of the Crb1 gene is present in vendor lines of C57BL/6N mice and embryonic stem cells, and confounds ocular induced mutant phenotypes. Invest Ophthalmol Vis Sci. (2012) 53:2921–7. doi: 10.1167/iovs.12-9662 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37. Chen J, Caspi RR. Clinical and functional evaluation of ocular inflammatory disease using the model of experimental autoimmune uveitis. Methods Mol Biol. (2019) 1899:211–27. doi: 10.1007/978-1-4939-8938-6_15 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38. Lehmann U, Heuss ND, McPherson SW, Roehrich H, Gregerson DS. Dendritic cells are early responders to retinal injury. Neurobiol Dis. (2010) 40:177–84. doi: 10.1016/j.nbd.2010.05.022 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39. Li Y, Schlamp CL, Nickells RW. Experimental induction of retinal ganglion cell death in adult mice. Invest Ophthalmol Vis Sci. (1999) 40:1004–8. [PubMed] [Google Scholar]
- 40. Heuss ND, Pierson MJ, Montaniel KR, McPherson SW, Lehmann U, Hussong SA, et al. Retinal dendritic cell recruitment, but not function, was inhibited in MyD88 and TRIF deficient mice. J Neuroinflamm. (2014) 11:143. doi: 10.1186/s12974-014-0143-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41. Heuss ND, Pierson MJ, Roehrich H, McPherson SW, Gram AL, Li L, et al. Optic nerve as a source of activated retinal microglia post-injury. Acta Neuropathol Commun. (2018) 6:66. doi: 10.1186/s40478-018-0571-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42. McPherson SW, Heuss ND, Pierson MJ, Gregerson DS. Retinal antigen-specific regulatory T cells protect against spontaneous and induced autoimmunity and require local dendritic cells. J Neuroinflamm. (2014) 11:205. doi: 10.1186/s12974-014-0205-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43. Tang PH, Pierson MJ, Heuss ND, Gregerson DS. A subpopulation of activated retinal macrophages selectively migrated to regions of cone photoreceptor stress, but had limited effect on cone death in a mouse model for type 2 Leber congenital amaurosis. Mol Cell Neurosci. (2017) 85:70–81. doi: 10.1016/j.mcn.2017.09.002 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44. Golde WT, Gollobin P, Rodriguez LL. A rapid, simple, and humane method for submandibular bleeding of mice using a lancet. Lab Anim (NY). (2005) 34:39–43. doi: 10.1038/laban1005-39 [DOI] [PubMed] [Google Scholar]
- 45. O'Koren EG, Yu C, Klingeborn M, Wong AYW, Prigge CL, Mathew R, et al. Microglial function is distinct in different anatomical locations during retinal homeostasis and degeneration. Immunity. (2019) 50:723–37. doi: 10.1016/j.immuni.2019.02.007 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46. Yu C, Lad EM, Mathew R, Shiraki N, Littleton S, Chen Y, et al. Microglia at sites of atrophy restrict the progression of retinal degeneration via galectin-3 and Trem2. J Exp Med. (2024) 221. doi: 10.1084/jem.20231011 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47. Yu C, Saban DR. Identification of a unique subretinal microglia type in retinal degeneration using single cell RNA-Seq. Adv Exp Med Biol. (2019) 1185:181–6. doi: 10.1007/978-3-030-27378-1_30 [DOI] [PubMed] [Google Scholar]
- 48. McPherson SW, Heuss ND, Lehmann U, Gregerson DS. Generation of regulatory T cells to antigen expressed in the retina. Curr Immunol Rev. (2011) 7:344–9. doi: 10.2174/157339511796196584 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49. Zhou R, Horai R, Silver PB, Mattapallil MJ, Zarate-Blades CR, Chong WP, et al. The living eye "disarms" uncommitted autoreactive T cells by converting them to Foxp3(+) regulatory cells following local antigen recognition. J Immunol. (2012) 188:1742–50. doi: 10.4049/jimmunol.1102415 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50. Peng Z, Nagarajan V, Horai R, Jittayasothorn Y, Mattapallil MJ, Caspi RR. Ocular immune privilege in action: The living eye imposes unique regulatory and anergic gene signatures on uveitogenic T cells. Cell Rep. (2025) 44:115780. doi: 10.1016/j.celrep.2025.115780 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51. McPherson SW, Heuss ND, Gregerson DS. Local "on-demand" generation and function of antigen-specific Foxp3+ regulatory T cells. J Immunol. (2013) 190:4971–81. doi: 10.4049/jimmunol.1202625 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52. Liyanage SE, Gardner PJ, Ribeiro J, Cristante E, Sampson RD, Luhmann UF, et al. Flow cytometric analysis of inflammatory and resident myeloid populations in mouse ocular inflammatory models. Exp Eye Res. (2016) 151:160–70. doi: 10.1016/j.exer.2016.08.007 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53. Xiao W, Shahror RA, Morris CA, Caldwell RB, Fouda AY. Multi-color flow cytometry protocol to characterize myeloid cells in mouse retina research. Bio Protoc. (2023) 13:e4745. doi: 10.21769/bioprotoc.4745 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54. Su N, Marz S, Plagemann T, Cao J, Schnittler HJ, Eter N, et al. Occurrence of transmembrane protein 119 in the retina is not restricted to the microglia: an immunohistochemical study. Transl Vis Sci Technol. (2019) 8:29. doi: 10.1167/tvst.8.6.29 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55. Schlecht A, Wolf J, Boneva S, Prinz G, Braunger BM, Wieghofer P, et al. Transcriptional and distributional profiling of microglia in retinal angiomatous proliferation. Int J Mol Sci. (2022) 23. doi: 10.3390/ijms23073443 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56. Dick AD, Ford AL, Forrester JV, Sedgwick JD. Flow cytometric identification of a minority population of MHC class II positive cells in the normal rat retina distinct from CD45lowCD11b/c+CD4low parenchymal microglia. Br J Ophthalmol. (1995) 79:834–40. doi: 10.1136/bjo.79.9.834 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57. Auffray C, Fogg D, Garfa M, Elain G, Join-Lambert O, Kayal S, et al. Monitoring of blood vessels and tissues by a population of monocytes with patrolling behavior. Science. (2007) 317:666–70. doi: 10.1126/science.1142883 [DOI] [PubMed] [Google Scholar]
- 58. Ensan S, Li A, Besla R, Degousee N, Cosme J, Roufaiel M, et al. Self-renewing resident arterial macrophages arise from embryonic CX3CR1(+) precursors and circulating monocytes immediately after birth. Nat Immunol. (2016) 17:159–68. doi: 10.1038/ni.3343 [DOI] [PubMed] [Google Scholar]
- 59. Lim YJ, Kim TS. CX3CR1 and CCR2: dynamic myeloid cell states across inflammatory diseases with implications for oral health and disease. Front Immunol. (2026) 17:1873474. doi: 10.3389/fimmu.2026.1873474 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60. Serbina NV, Pamer EG. Monocyte emigration from bone marrow during bacterial infection requires signals mediated by chemokine receptor CCR2. Nat Immunol. (2006) 7:311–7. doi: 10.1038/ni1309 [DOI] [PubMed] [Google Scholar]
- 61. Tsou CL, Peters W, Si Y, Slaymaker S, Aslanian AM, Weisberg SP, et al. Critical roles for CCR2 and MCP-3 in monocyte mobilization from bone marrow and recruitment to inflammatory sites. J Clin Invest. (2007) 117:902–9. doi: 10.1172/jci29919 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62. Yona S, Kim KW, Wolf Y, Mildner A, Varol D, Breker M, et al. Fate mapping reveals origins and dynamics of monocytes and tissue macrophages under homeostasis. Immunity. (2013) 38:79–91. doi: 10.1016/j.immuni.2012.12.001 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63. Guilliams M, Mildner A, Yona S. Developmental and functional heterogeneity of monocytes. Immunity. (2018) 49:595–613. doi: 10.1016/j.immuni.2018.10.005 [DOI] [PubMed] [Google Scholar]
- 64. Xue J, Schmidt SV, Sander J, Draffehn A, Krebs W, Quester I, et al. Transcriptome-based network analysis reveals a spectrum model of human macrophage activation. Immunity. (2014) 40:274–88. doi: 10.1016/j.immuni.2014.01.006 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65. Guo S, Zhang Q, Guo Y, Yin X, Zhang P, Mao T, et al. The role and therapeutic targeting of the CCL2/CCR2 signaling axis in inflammatory and fibrotic diseases. Front Immunol. (2024) 15:1497026. doi: 10.3389/fimmu.2024.1497026 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66. Shi C, Pamer EG. Monocyte recruitment during infection and inflammation. Nat Rev Immunol. (2011) 11:762–74. doi: 10.1038/nri3070 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67. Boniakowski AE, Kimball AS, Joshi A, Schaller M, Davis FM, denDekker A, et al. Murine macrophage chemokine receptor CCR2 plays a crucial role in macrophage recruitment and regulated inflammation in wound healing. Eur J Immunol. (2018) 48:1445–55. doi: 10.1002/eji.201747400 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68. Epps SJ, Boldison J, Stimpson ML, Khera TK, Lait PJP, Copland DA, et al. Re-programming immunosurveillance in persistent non-infectious ocular inflammation. Prog Retin Eye Res. (2018) 65:93–106. doi: 10.1016/j.preteyeres.2018.03.001 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 69. Zhao J, Chen M, Xu H. Experimental autoimmune uveoretinitis (EAU)-related tissue damage and angiogenesis is reduced in CCL2(-)/(-)CX(3)CR1gfp/gfp mice. Invest Ophthalmol Vis Sci. (2014) 55:7572–82. doi: 10.1167/iovs.14-15495 [DOI] [PubMed] [Google Scholar]
- 70. Kezic J, McMenamin PG. The monocyte chemokine receptor CX3CR1 does not play a significant role in the pathogenesis of experimental autoimmune uveoretinitis. Invest Ophthalmol Vis Sci. (2010) 51:5121–7. doi: 10.1167/iovs.10-5325 [DOI] [PubMed] [Google Scholar]
- 71. Sonoda KH, Yoshimura T, Egashira K, Charo IF, Ishibashi T. Neutrophil-dominant experimental autoimmune uveitis in CC-chemokine receptor 2 knockout mice. Acta Ophthalmol. (2011) 89:e180–188. doi: 10.1111/j.1755-3768.2010.01953.x [DOI] [PubMed] [Google Scholar]
- 72. Chen YF, Zhou D, Metzger T, Gallup M, Jeanne M, Gould DB, et al. Spontaneous development of autoimmune uveitis Is CCR2 dependent. Am J Pathol. (2014) 184:1695–705. doi: 10.1016/j.ajpath.2014.02.024 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 73. Gregerson DS, Yang J. CD45-positive cells of the retina and their responsiveness to in vivo and in vitro treatment with IFN-gamma or anti-CD40. Invest Ophthalmol Vis Sci. (2003) 44:3083–93. doi: 10.1167/iovs.02-1014 [DOI] [PubMed] [Google Scholar]
- 74. Fan Q, Li Z. Breach and restoration of retinal immune privilege: barrier failure, innate dysregulation, and adaptive autoimmunity. Front Immunol. (2025) 16:1703382. doi: 10.3389/fimmu.2025.1703382 [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.
