Abstract
The lipid chemoattractant sphingosine 1-phosphate (S1P) guides cells from the low-S1P environment of tissues into the high-S1P environment of circulatory fluids(1). Notably, S1P directs T cell exit from lymph nodes (LN), where T cells are initially activated, into lymph, from which T cells reach blood and ultimately inflamed tissues(1). T cells follow S1P gradients primarily using S1P receptor 1 (S1PR1)(1). While recent work has described how S1P gradients are established at steady-state, little is known about S1P distribution in disease, or about how changing S1P levels may affect immune responses. Here, we find that S1P concentrations increase in LN during an immune response. Hematopoietic cells, including inflammatory monocytes (iMo), are an important source of this S1P, an unexpected finding as endothelial cells provide lymph S1P(1). iMo require the early activation marker CD69 to supply this S1P, in part because CD69 expression is associated with reduced levels of S1pr5. CD69 acts as a “stand-your-ground” signal, keeping immune cells at a site of inflammation by regulating both S1P receptors and S1P gradients. Finally, increased S1P prolongs T cell residence time in LN, and exacerbates the severity of experimental autoimmune encephalomyelitis. This finding suggests the hypothesis that LN residence time regulates T cell differentiation, and points to novel uses of drugs targeting S1P signaling.
Increased LN S1P in an immune response.
We first asked whether extracellular S1P in LN changes during an immune response. This question is challenging because S1P is a lipid, so levels cannot be approximated by mRNA(2). Moreover, S1P has intracellular and extracellular roles, making mass spectrometry of whole tissues uninformative(2). Even when extracellular fluid can be obtained, interpretation is complicated because S1P is carried by proteins that may sequester or present the lipid(3). The most reliable measurements of “signaling-available” S1P have been based on the observation that S1PR1 is internalized upon binding S1P(4). All else being equal, a cell with high surface S1PR1 is not sensing S1P, while a cell with low surface S1PR1 is sensing S1P. This inference has been extensively validated for T cells in homeostasis, but is problematic in inflammation, when additional factors regulate surface S1PR1(1)(E.D. Fig. 1a). Upon exposure to inflammatory cytokines or T cell receptor (TCR) activation, T cells upregulate CD69; CD69 binds S1PR1 and the CD69-S1PR1 complex is internalized(5,6). Moreover, TCR activation downmodulates S1pr1 transcription(1). These effects are transient however, leaving a large time window in which S1P might alter T cell trafficking.
To address whether LN S1P changes during an immune response, we transferred Cd69−/− polyclonal T cells to a WT host, induced inflammation by injection of the viral dsRNA mimic polyinosinic:polycytidylic acid (pIC), and measured surface S1PR1 on the transferred cells in the draining LN (dLN) (Fig. 1a). We observed reduced surface S1PR1, consistent with increased LN S1P (Fig. 1b–c; E.D. Fig. 1–2). To assess whether loss of S1PR1 was ligand-independent (beyond effects of CD69 and TCR signaling, avoided with Cd69−/− polyclonal T cells), we used mice expressing an S1P sensor(7,8). The sensor’s core is S1PR1 fused to GFP, which is internalized and partly degraded upon binding S1P. The sensor also encodes a mutant S1PR1 (S1PR1NB), with an arginine to alanine substitution that prevents S1P binding, fused to RFP. S1PR1NB-RFP stays on the cell surface regardless of extracellular S1P. The two receptors are linked by a 2A sequence, and hence transcribed and translated at a 1:1 ratio. The ratio of S1PR1-GFP to S1PR1NB-RFP on the cell surface is a measure of a cell’s S1P exposure (Fig. 1d). We transferred sensor-expressing Cd69−/− polyclonal T cells to WT hosts, induced inflammation with pIC, and visualized the transferred cells. Surface S1PR1-GFP was reduced relative to S1PR1NB-RFP (Fig. 1e–f, E.D. Fig. 1k). This suggested that S1PR1 internalization did not reflect transcriptional, translational, or most post-translational modifications, and likely indicated increased LN S1P (E.D. Fig. 2j).
If the loss of surface S1PR1 were due to increased S1P, surface S1PR1 should be restored by inhibiting S1P synthesis. Mice that cannot produce S1P die at mid-gestation, so we made bone marrow (BM) chimeras in which WT hosts were reconstituted with BM from sphingosine kinase-deficient donors (SPHK-KO, Sphk1f/fSphk2−/−Mx1-Cre+) or littermate controls. Loss of S1P production by hematopoietic cells blocked S1PR1 internalization after pIC injection, indicating that a hematopoietic source supplied S1P in inflammation (Fig. 1g–h; E.D. Fig. 2k–p).
Last, if LN S1P increased, T cells should stay longer in the LN, because the increased LN S1P would counter lymph S1P directing exit. To test this, we transferred polyclonal Cd69−/− T cells into SPHK-KO and control BM chimeras, treated the mice with pIC, and waited 14h. We then divided the mice into two groups. We euthanized one group at “t=0” and counted T cells in the dLN. We treated the second group with LFA1- and VLA4-blocking antibodies, preventing further T cell entry into LN(9). We waited 4h, euthanized the second group of mice, and counted cells remaining in the dLN. While ~20% of cells exited control LN in 4h, ~50% exited LN of SPHK-KO chimeras (Fig 1i–j; E.D. Fig. 2q–r).
Inflammatory monocytes supply LN S1P.
Our next question was which cells supply LN S1P in inflammation. CD11b+CCR2+Ly6ChiLy6Glo iMo accumulated in dLN after pIC treatment (Fig. 2a–b; E.D. Fig. 3a–b)(10). Upon depletion of iMo and neutrophils with an antibody to Ly6C/G, we no longer observed S1PR1 internalization on T cells (Fig. 2c–d; E.D. Fig. 3c–h). This suggested that iMo might supply LN S1P during an immune response.
To target S1P production by iMo more specifically, we used mixed BM chimeras. We reconstituted WT mice with a 1:1 mix of SPHK-KO BM (unable to produce S1P) and BM that was SPHK-WT but expressed the diphtheria toxin (DT) receptor driven by the CCR2 promoter (CCR2-DTR). CCR2 is highly expressed by iMo(11). After DT treatment, iMo from the CCR2-DTR donor were eliminated and the only remaining iMo were SPHK-KO, while 50% of the CCR2-negative hematopoietic cells remained SPHK-WT. We also made a series of control chimeras. We challenged DT-treated chimeras with pIC. When CCR2+ cells could no longer make S1P, S1PR1 was no longer down-modulated on T cells in the dLN (Fig. 2e; E.D. Fig. 3i–m). These results were consistent with iMo as a source of LN S1P.
If iMo supplied LN S1P during an immune response, iMo transferred to an otherwise healthy mouse should raise LN S1P. We injected control or SPHK-KO iMo into LN of WT recipients at numbers comparable to those recruited upon pIC treatment. Control, but not SPHK-KO, iMo induced S1PR1 down-modulation on LN T cells (Fig. 2f; E.D. Fig. 4a–f).
Last, we assayed S1P release by iMo ex vivo. iMo secreted too little S1P for mass spectrometry measurement – T cells respond to as little as 100 pM S1P, while mass spectrometry detects ~100 nM. As one alternative, we cultured iMo across a transwell from Cd69−/− polyclonal T cells expressing the S1P sensor. Control iMo secreted S1P, measured by the ratio of surface S1PR1-GFP: S1PR1NB-RFP on the sensor-expressing T cells, while SPHK-KO iMo did not (Fig. 2g; E.D. Fig. 4g–k). We also tested whether supernatant from iMo could induce S1P-dependent chemotaxis. We transduced a B cell line with vector, S1PR1, or S1PR5. We plated the cells across a transwell from iMo. Vector-transduced cells did not migrate to iMo. S1PR1- and S1PR5-transduced cells migrated to WT but not SPHK-KO iMo, and their migration was blocked by a blocking antibody to S1P (Fig. 2h).
iMo require CD69 to supply LN S1P.
We next asked what factors regulate S1P secretion by iMo. CD69 is expressed rapidly and robustly after activation by virtually all leukocytes, but CD69’s function has remained unclear. Many phenotypes of Cd69−/− mice may not be explained by CD69’s well-established interaction with S1PR1(12,13). To avoid potentially confounding factors in the experiments above, we adoptively transferred Cd69−/− T cells to WT hosts. Surprisingly, when we instead induced inflammation with pIC in fully Cd69−/− mice, we did not observe S1PR1 down-modulation on T cells (Fig. 2i–j; E.D. Fig. 5a–h). This suggested that CD69 might be required for iMo to supply S1P.
To test whether iMo need CD69 to supply S1P to T cells, we used mixed BM chimera, similar to those described above. We lethally irradiated WT mice and reconstituted them with a 1:1 mix of Cd69−/− BM and CCR2-DTR BM. When CCR2+ cells no longer expressed CD69, S1PR1 was no longer down-modulated on T cells in the dLN (Fig. 2k; E.D. Fig. 5i–n). We also injected control and Cd69−/− iMo into LN of WT recipients, and found that control but not Cd69−/− iMo induced S1PR1 down-modulation on LN T cells (Fig 2f; E.D. Fig. 4a–f). Last, we could not detect S1P secretion by Cd69−/− iMo ex vivo (Fig. 2g–h; E.D. Fig. 4g–i). These results were consistent with a requirement for CD69 expression by iMo to supply LN S1P.
We next addressed how CD69 enabled iMo to supply S1P to T cells. We performed RNA-Seq on Cd69−/− and WT iMo sorted from LN of mixed BM chimeras, so that they were taken from the same environment. Many genes were differentially expressed, and one intriguing change was in S1pr5 (S1P receptor 5), which was suppressed when iMo expressed Cd69 (E.D. Fig. 6a,k). We confirmed this change by RT-qPCR (Fig. 3a). We bred Cd69−/−S1pr5−/− mice, and found that loss of S1PR5 partially rescued T cell exposure to S1P (Fig. 3b–c). To address the mechanism, we asked whether CD69 promoted iMo accumulation in the LN, potentially in part by blocking S1PR5-guided egress(1). However, we found no difference in the number of Cd69−/− compared to control iMo (Fig. 3d, E.D. Fig. 6b–c). A second possibility was that CD69 might promote iMo positioning in the T cell zone, potentially in part by repressing S1PR5, which is known to hold NK cells in the LN periphery(7). We found that Cd69−/− iMo poorly infiltrated the T zone, and their positioning was restored by loss of S1pr5 (Fig. 3e, E.D. Fig. 6d–e). A third, not mutually exclusive, possibility was that CD69 promoted iMo S1P release. Part of the mechanism might be that S1PR5 on iMo “caught” S1P secreted by the iMo and prevented the S1P from reaching nearby T cells. Indeed, Cd69−/− iMo S1P secretion was partially restored upon loss of S1pr5 (Fig. 3f, E.D. Fig. 6f). A cell line transduced with S1pr5 cleared S1P from culture medium more efficiently than controls, and Cd69−/− iMo cleared S1P from culture medium more efficiently than Cd69−/−S1pr5−/− iMo (E.D. Fig. 6g–j).
iMo S1P regulates the course of EAE.
Drugs targeting S1P signaling are widely used to treat multiple sclerosis (MS). We therefore assessed S1P gradients in experimental autoimmune encephalomyelitis (EAE), a mouse model of MS. We found reduced surface S1PR1 on T cells in the draining cervical LN at the onset of EAE symptoms, consistent with increased S1P (Fig. 4a–b; E.D. Fig. 7, 8a). iMo purified from the dLN of mice with EAE secreted S1P ex vivo, and in mixed BM chimeras, S1PR1 down-modulation was lost when CCR2+ cells could not make S1P or did not express CD69 (Fig. 4c,k; E.D. Fig. 8b–c, 9a–f). At the same timepoint, we observed a substantial reduction in total and MOG/Ab-specific T helper 17 (Th17) and T follicular helper (Tfh) cells in the dLN, and a reduction of Th17 cells in the central nervous system (CNS) (few Tfh were in the CNS) (Fig. 4f–j, n–o; E.D. Fig. 9g–h, 10a–g). The course of disease was delayed, despite being unusually aggressive as the mice were BM chimeras repeatedly treated with DT (Fig. 4d–e, l–m; E.D. Fig. 10a).
Overall, our data indicate that LN S1P levels rise during an immune response. We used Cd69−/− T cells as probes to avoid confounding effects of cell-intrinsic CD69-mediated S1PR1 internalization, an interaction confirmed here (E.D. Fig. 3m, E.D. Fig. 5l, E.D. Fig. 9b,f). However, most T cells express high levels of CD69 transiently, leaving a wide window during which altered LN S1P could affect disease. This may be early in an immune response; even after pIC injection, ~40% of CD4 T cells in the dLN remain CD69lo (E.D. Fig. 1j). This may also be later in the immune response. At the onset of EAE symptoms, few lymphocytes express surface CD69, including MOG/Ab-specific T cells (E.D. Fig. 7a–b). The role of iMo in supplying LN S1P was unexpected, and T cell retention may synergize with iMo roles in antigen presentation and cytokine production(10,14,15). Lipopolysaccharide induces S1PR1 activation in the liver, which requires hematopoietic S1P; we hypothesize that this is due to iMo infiltration(16). Our data also indicate that the early activation marker CD69 retains cells in an inflamed environment by regulating both S1P gradients and receptors. Finally, this study raises the question of how iMo-derived S1P regulates Tfh and Th17 numbers. There are many possibilities, but several lines of evidence favor the possibility that LN residence time regulates differentiation, and future work will address this (E.D. Fig. 10)(17,18). Manipulating LN residence time with the many drugs targeting S1P signaling may be advantageous in some settings. On the other hand, one devastating side-effect of MS treatment with Gilenya, which targets four of the five S1P receptors, is severe disease rebound after drug withdrawal; we speculate that this may be due to T cells’ extended retention in the LN inducing stronger activation(19). Future studies will test how changing S1P levels and immune responses are intertwined throughout the body.
Methods:
Mice:
C57BL/6J (WT, CD45.2), B6.SJL-PtprcaPepcb/BoyJ (CD45.1), CD69-KO(20), UBC-GFP(21), Sphk1f/f(22), Sphk2−/−(23), Mx1-Cre+(24), S1pr5−/−(25), CCR2-DTR(11), Sphk1−/− (26), CCR2-RFP (27), and S1P sensor(8) mice have been previously described. All mice were on a C57BL/6 background. 8 mice from the Cd69−/− and Cd69−/−S1pr5−/− colonies were tested for 120 SNPs (Transnetyx C57BL/6 x129 panel v.2), and all animals tested were at least 97.5% C57BL/6. Mice were 5–42 weeks old at the time of analysis. Male and female mice were used depending on availability, as sex did not seem to affect the results. The only exception was the experiments tracking EAE clinical score over time, which were performed with females. (Analysis of S1PR1 and T cell subtypes in EAE was done with both sexes, and sex did not seem to affect the results.) Mice were compared to littermate controls or to WT C57BL/6 mice as indicated. Mice were housed in specific pathogen-free conditions in New York University School of Medicine animal facilities. All cages were on a 12:12-h light:dark cycle (lights on, 0700) in a temperature- and humidity-controlled room. Room temperature was maintained at 72 ± 2 °F (22.2 ± 1.1 °C), and room humidity was maintained at 30% to 70%.
Sample sizes balanced statistical robustness and animal welfare, and negative results should not be over-interpreted. No animals were excluded from analysis unless they were clearly sick (hunched, low body weight). These criteria were pre-established, and are standard in the laboratory. No specific method of randomization was used to allocate mice into groups, although sex-matched littermates were used when possible. The order of sample collection and data acquisition was designed to avoid experimental bias: collection and processing of samples from control and knockout, as well as treated and untreated animals, were alternated. EAE scoring was blinded. Quantitative image analysis was automated (ImageJ macro), with the only user input being the definition of regions. Other experiments were not strictly blinded because the measurements were quantitative, without the subjectivity of disease scoring or qualitative image analysis.
All animal experiments were performed in accordance with protocols approved by the New York University Institutional Animal Care and Use Committee.
For pIC treatment, mice were injected subcutaneously (s.c.) in the footpad or flank with 10µg poly (I:C) (GE Healthcare).
For FTY720 treatment, mice were injected intraperitoneally (i.p.) with 2mg/kg FTY720 (Cayman Chemical) 12h before analysis.
For 4-deoxypyridoxine treatment, mice received 30 mg/L 4-deoxypyridoxine (Sigma) and 1 g/L sucrose or 1 g/L sucrose alone in the drinking water from day 4 after EAE induction until analysis.
To generate bone marrow chimeras, recipients were lethally irradiated by two doses of 6.6 Gray separated by at least 4 hours, followed by intravenous (i.v.) transfer of 2 × 106 bone marrow cells (or two times 2× 106 bone marrow cells for mixed chimeras). Experiments were performed at least 12 weeks after bone marrow transplantation.
To generate bone marrow chimeras over-expressing S1PR1, bone marrow donors were treated i.p. with 150mg/kg 5-fluorouracil (Sigma). 7 days later these mice were euthanized, and their bone marrow was transduced with retrovirus encoding murine S1PR1-IRES-GFP or IRES-GFP as previously described in (9, 25) [retroviral backbone: MSCV2.2; packaging cell line: HEK-293T (ATCC CRL-11268)]. The transduction was done immediately ex vivo, and repeated 6 hours later. 2.5 × 106 cells were injected i.v. to recipients lethally irradiated by two doses of 6.6 Gray. Experiments were performed at least 20 weeks after bone marrow transplantation. The efficiency of transduction was on average 0.8% of total CD45+ in the S1PR1-IRES-GFP group and 13% of total CD45+ in the IRES-GFP group. HEK-293T cells were not authenticated or tested for mycoplasma.
To induce Mx1-Cre, 3- to 5-day-old mice received a single i.p. injection of 50–70 μL pIC (GE Healthcare) at a concentration of 2 mg/mL in PBS. All mice in each litter (SPHK-KO mice and controls) were treated identically.
For integrin blockade, mice were injected i.v. with 100 μg monoclonal antibody to integrin α4 (clone PS/2; BioXCell) and 100 μg monoclonal antibody to integrin αL (clone M17/4; BioXCell).
To deplete Ly6C/G+cells, mice were injected i.p. with 500µg anti-Ly6C/G (clone RB6–8C5; BioXCell) 2 days before and on the day of pIC treatment (28, 29).
To deplete CCR2+cells, mice were treated with diphtheria toxin (Sigma), reconstituted at 1 mg/ml in PBS and frozen at −80°C. Mice received 10 ng/g diphtheria toxin i.p. in 0.2–0.3 ml PBS. For pIC injection experiments, mice were treated 2 days before and on the day of pIC treatment. For EAE experiments, mice were treated on the day of MOG immunization and every 3 days after.
To induce EAE, mice were immunized with 450 μg MOG 35–55 peptide in PBS emulsified 1:1 in incomplete Freund’s adjuvant (BD Biosciences) supplemented with a final concentration of 5 mg/mL of Mycobacterium tuberculosis (H37Ra; BD Biosciences). 100µL volume was injected s.c. in each of 3 locations. Pertussis toxin (200 ng in 100 μL PBS; List Biological Laboratories) was injected i.p. on the day of immunization (day −1) and 2 days later (day 1). Animals were scored for clinical symptoms as follows: 0, no signs of disease; 1, decreased tail tone or flaccid tail; 2, weakness in the limbs and loss of righting reflex; 3, inability to move one or both hind limbs, urinary incontinence; 4, weakness of both forelimbs and hindlimbs, complete hind-limb paralysis, atonic bladder; 5, moribund.
Confocal microscopy of tissue sections:
Mice were lethally anesthetized and perfused with 1% PFA in PBS. Organs were fixed in 4% PFA in PBS for 1 h at room temperature (22–25 °C) with gentle shaking; dehydrated overnight in 30% sucrose in PBS at 16 °C with gentle shaking; embedded in OCT (Sakura); and snap-frozen in dry-ice-cold 2-methylbutane. Sections 8–14 μm in thickness were cut, fixed with ice-cold acetone for 10 min, and air-dried. All staining was performed at room temperature (22–25 °C) in a humidified chamber.
For S1PR1 sensor staining, sections were permeabilized for 10 min with 0.5% Triton X-100 in PBS; washed in PBS; and blocked by incubation for 10–30 min with 0.1% Triton X-100, 5% normal goat serum, and 5% normal donkey serum. They were then washed with PBS; incubated for 1 h in blocking buffer with polyclonal chicken anti-GFP (Abcam, ab13970) final concentration 28 µg/ml, and polyclonal rabbit anti-Tag-RFP (Evrogen, AB234) final concentration 40 µg/ml; washed; incubated with polyclonal Alexa Fluor 488–conjugated goat anti-chicken (Jackson Immunoresearch, 103–545-155) final concentration 0.75 µg/ml, and polyclonal Alexa Fluor 647–conjugated donkey anti-rabbit (Jackson Immunoresearch, 711–605-152) final concentration 6 µg/ml; washed; and incubated with anti-Lyve1-AlexaFluor488 (eBioscience, ALY7) final concentration 1.25 µg/ml, and anti-CD4-PE (Biolegend, RM4–5) final concentration 1 µg/ml, or anti-CD4-eFluor450 (Invitrogen, RM4–5) final concentration 1.25 µg/ml. In some cases, sections were stained instead with anti-Lyve1-biotin (eBioscience, ALY7) final concentration 1.25 µg/ml; these sections were blocked with Vector Laboratories’ Avidin/Biotin blocking kit, and stained with streptavidin-BV421.
For inflammatory monocyte localization, sections were blocked for 10–30 min in PBS with 4% normal rat serum, 4% normal mouse serum, 10 μg/ml anti-CD16/32 (BioLegend, clone 93), and 0.1% Triton X-100; washed in PBS; and stained in blocking buffer for 1 h with monoclonal rat anti-Ly6C (Biolegend, HK1.4) final concentration 2.5 µg/ml, then with PE-conjugated polyclonal goat anti-rat IgG (Biolegend, Poly 4054) final concentration 1 µg/ml, and finally with monoclonal anti-CD11b-APC (Biolegend, M1/70) final concentration 1 µg/ml, anti-Lyve1-AlexaFluor488 (eBioscience, ALY7) final concentration 1.25 µg/ml, and anti-CD4-eFluor450 (Invitrogen, RM4–5) final concentration 1 µg/ml. In some cases, sections were stained instead with anti-Lyve1-biotin (eBioscience, ALY7) final concentration 1.25 µg/ml; these sections were blocked with Vector Laboratries’ Avidin/Biotin blocking kit, and stained with streptavidin-BV421 and anti-CD4 AlexaFluor488 (Biolegend, RM 4–5) final concentration 1.25 µg/ml.
Slides were mounted with G-Fluoromount (Southern Biotech). Slides were visualized using a Zeiss 710 inverted confocal microscope with a 25×, or 63× oil-immersion objective and ZEN 2010 software. Images were processed with ImageJ v1.49. For all direct comparisons, samples were stained and imaged the same day with the same settings. The ratio of surface GFP:RFP for S1P sensor mice was analyzed as previously described(7). The ImageJ macro to localize inflammatory monocytes is included as Supplementary Information.
Confocal microscopy of S1P sensor T cells:
Transwell-cultivated T cells were cytospun at 800g for 6 min though a cytology funnel onto a slide (Thermo Scientific Shandon Coated Cytoslide). Then cells were fixed in 4% PFA for 15 min at room temperature; fixed with ice-cold acetone for 2 min; air-dried; permeabilized for 5 min with 0.5% Triton X-100 in PBS; and stained and analyzed as above (without Lyve1).
Cell preparation for adoptive transfer, in vitro culture, and flow cytometry:
CD69-KO lymphocyte preparation for adoptive transfer:
Lymphocytes were isolated from LN (axillary, brachial, inguinal, cervical, paraaortic) and in some cases spleen by mechanical disruption and filtration through a 70-μm cell strainer. Red blood cells were lysed with ACK buffer. Cells were enumerated with a cell counter (Beckman Coulter Multisizer 3) set to detect nuclei between 3.5 and 7 μm. When necessary, the cells were stained with CFSE before injection. For CFSE staining, lymphocytes were resuspended in PBS at 20 x106 cells/mL and CFSE was added to a final concentration of 2µM. Cells were incubated for 10 min at room temperature, and the reaction was stopped by adding FBS to a final concentration of 20% and incubating for 2 min. Labeled cells were washed 3 times in PBS prior to counting. 12–16 x106 cells were injected i.v.
CD69-KO lymphocyte preparation for cell culture:
Cells were prepared as for adoptive transfer, but CD69 KO T lymphocytes were further purified by negative selection for CD4 and CD8 using anti-CD11b, anti-CD11c, anti-NKP46, and anti-CD19 biotinylated antibodies (Stem Cell Technologies or eBioscience, biotin negative selection kit, used according to the manufacturer’s instructions).
Inflammatory monocyte preparation for adoptive transfer or culture:
Mice were injected i.v. with 200 µg pIC or PBS. 14 hours later mice were euthanized. Organs were minced, and then digested with collagenase IV (1 mg/ml, Sigma) and DNase I (0.2 mg/ml, Roche) in HBSS for 20 min at 37°C with gentle rocking. Collagenase IV was inactivated by washing with 5 mM EDTA and 3% FBS in PBS. The cell suspension was filtered through a 100 µm strainer and negatively selected for CD11b+ cells using anti-CD4, anti-CD8, anti-CD19, and anti-Ter119 biotinylated antibodies (Stem Cell Technologies, biotin negative selection kit, used according to the manufacturer’s instructions). The CD11b+-enriched cells were then stained and sorted for CD11b+ Ly6Chigh cells by flow cytometry (Beckman Coulter MoFlo or BD Biosciences FACSAria). In some experiments, 0.2 x106 iMo were concentrated in 10µL and 5µL was injected into the inguinal LN using a 32-gauge Hamilton syringe as described(30, 31). In other experiments, iMo were cultured in RPMI with 0.5% fatty acid-free BSA, 10 mM HEPES, 2 mM L-glutamine, penicillin streptomycin, 50 μM β-mercaptoethanol, 0.1 mM non-essential amino acids, and 1 mM sodium pyruvate at 1 x 106 per mL.
Cell preparation for flow cytometry: lymphoid organs
Lymphocytes were isolated from LN (axillary, brachial, inguinal, cervical, paraaortic) and in some cases spleen by mechanical disruption and filtration through a 70-μm cell strainer. Cells were enumerated with a cell counter (Beckman Coulter Multisizer 3) set to detect nuclei between 3.5 and 7 μm.
Cell preparation for flow cytometry: CNS
After euthanasia, mice were perfused with PBS. Spinal cord and brain were minced, and then digested for 30 min at 37 °C with gentle rocking with collagenase IV (1 mg/ml, Sigma) and DNase I (0.2 mg/ml, Roche) in HBSS. Collagenase IV was inactivated by washing with 5 mM EDTA and 3% FBS in PBS, and the cells were filtered through 70µm cell strainer. Further purification of lymphocytes was performed by density gradient centrifugation using 40% Percoll (GE Healthcare).
In vitro cell culture:
Cell line generation and culture:
WEHI-231 cells (a gift from Jason Cyster, ATCC CRL-1702) were transduced with retrovirus encoding murine S1PR1-IRES-GFP, S1PR5-IRES-GFP, or IRES-GFP alone [retroviral backbone: MSCV2.2; packaging cell line: HEK-293T (ATCC CRL-11268)]. The retroviral constructs have been previously described(9, 25). GFP+ cells were sorted and maintained in complete RPMI1640 (with 10% fetal bovine serum, penicillin/streptomycin, 10 mM HEPES, 2 mM L-glutamine, 50 μM β-mercaptoethanol, 1 mM sodium pyruvate, 0.1 mM non-essential amino acids). Cells were maintained between 0.1x 106 and 1x 10 6 cells/mL. The cell lines were not authenticated. WEHI-231 cells were contaminated with mycoplasma, HEK-293T cells were not tested for mycoplasma.
Transwell migration:
0.5 x105 WEHI-231 cells expressing the indicated constructs were tested for transmigration across 96-well uncoated 5 μm transwell filters (Corning Costar) to 0.2x106 sorted iMo resuspended in 148µL with or without 10µg/mL anti-S1P antibody clone LT1002 (Echelon Bioscience). After 3 hours, migrated cells were enumerated by flow cytometry. Assay was performed in RPMI1640 supplemented with 0.5% fatty acid-free BSA (Calbiochem) penicillin/streptomycin, 10 mM HEPES, 2mM L-glutamine, 50 μM β-mercaptoethanol, 1 mM sodium pyruvate, 0.1mM non-essential amino acids.
S1PR1 downregulation:
0.1 x 106 purified CD69-KO S1P sensor T cells (or CD69-KO T cells, E.D. Fig. 4j–k) were cultured across a 96-well 0.4 μm transwell filter (Corning Costar) from 0.2x106 sorted iMo in 150µL. Cells were incubated for 8h (or 12h for E.D. Fig. 4j–k) in RPMI1640 supplemented with 0.5 % fatty acid BSA, penicillin/streptomycin, 10 mM HEPES, 2 mM L-glutamine, 50 μm β-mercaptoethanol, 1 mM sodium pyruvate, and 0.1mM non-essential amino acids.
S1P clearance:
0.2x106 sorted iMo or 0.5 x105 WEHI-231 cells were incubated for 5 hours with 50 nM S1P (Sigma) in 150µL RPMI1640 supplemented with 0.5% fatty acid-free BSA (Calbiochem) penicillin/streptomycin, 10 mM HEPES, 2mM L-glutamine, 50 μM β-mercaptoethanol, 1 mM sodium pyruvate, 0.1mM non-essential amino acids. Then 0.1 x 106 purified CD69-KO S1P sensor T cells were cultured for 2 hours across a 96-well 0.4 μm transwell filter (Corning Costar) from these cells.
Flow cytometry:
For intracellular staining, cells were fixed and permeabilized with eBioscience’s Foxp3 kit, according to the manufacturer’s instructions. Staining for S1PR1 was done on ice in PBS supplemented with 0.05% sodium azide, 1mM EDTA, 0.5% FBS. Cells were stained for 90 min with anti–mouse S1PR1 (7.2 µg/mL; MAB7089; R&D Systems), washed twice in buffer; stained for 45 min with anti-rat IgG-biotin F(ab’)2 (9.5 µg/mL; Cat# 2340649; Jackson Immunoresearch); washed twice in buffer; and stained with streptavidin coupled with APC or PECy7 and the other surface membrane antibodies. To stain with the MOG/Ab (GWYRSPFSRVVH) and hCLIP/Ab (PVSKMRMATPLLMQA) tetramers, cells were incubated for 60 min at room temperature with 7.5 µg/mL tetramer (NIH Tetramer Core Facility). Additional antibodies are described in Supplementary Information Table 1. Cells were analyzed on a BD Biosciences LSRII flow cytometer running FACSDiva v. 8.02, and FlowJo software v. 9 or v.10 was used for data analysis (including t-SNE plots).
RNA-Seq:
Total RNA was extracted from sorted cell populations using TRIzol (Invitrogen) according to the manufacturer’s instructions. Phenol was removed using a Qiagen RNeasy MinElute Cleanup Kit, according to the manufacturer’s instructions. The quantity and quality of total RNA was assessed on a 2100 BioAnalyzer instrument (Agilent Technologies, Inc.). 1 ng of total RNA was used to prepare libraries using Trio RNA-Seq library prep kit (Tecan Genomics, Inc., part number 0506–96, mammalian rRNA Deplete) following the manufacturer’s instructions (https://www.nugen.com/sites/default/files/M01440v2_User_Guide%3A_Trio_RNA-Seq_4270.pdf). Briefly, the library prep consists of the following steps: DNase treatment to remove genomic DNA, first strand and second stand cDNA synthesis from the input RNA, single primer isothermal amplification (SPIA) of the resultant cDNAs, enzymatic fragmentation and construction of unique barcoded libraries, PCR library amplification (for these samples, 4 cycles were used) and a final step to remove rRNA transcripts. The Agencourt AMPure XP bead (Beckman Coulter) purified libraries were quantified using by qPCR and the size distribution was checked using Agilent TapeStation 2200. The libraries were subjected to paired-end 50 bp sequencing on HiSeq 2500 sequencing system (Illumina, v4 chemistry). RNAseq analysis: Sequencing reads were mapped to the mouse reference genome (GRCm38.85/mm10) using the STAR aligner (v2.5.0c)(32). Alignments were guided by a Gene Transfer Format file. The mean read insert sizes and their standard deviations were calculated using Picard tools (v.1.126) (http://broadinstitute.github.io/picard). The read count tables were generated using HTSeq (v0.6.0)(33), normalized based on their library size factors using DEseq2(34), and differential expression analysis was performed. The Read Per Million (RPM) normalized BigWig files were generated using BEDTools (v2.17.0)(35) and bedGraphToBigWig tool (v4). All downstream statistical analyses and generating plots were performed in R environment (v3.1.1) (http://www.r-project.org/).
RT-qPCR:
Total RNA was extracted from sorted cell populations using Trizol (Invitrogen) according to the manufacturer’s instructions. Before reverse transcription, RNA was treated with DNase I (Invitrogen). The RNA was converted to cDNA with Invitrogen’s Superscript III First Strand Synthesis System according to the manufacturer’s instructions, using a mix of oligo dT and random hexamers as primers. Quantitative PCR (qPCR) was performed on a Roche Light-Cycler 480 using iQ SYBR Green Supermix (Bio-Rad) according to the manufacturer’s instructions. Primer pairs used were: Hprt F 5′-AGGTTGCAAGCTTGCTGGT-3′, Hprt R 5′-TGAAGTACTCATTATAGTCAAGGGCA-3′; S1pr5 F 5′-GCCTGGTGCCTACTGCTACAG-3′, S1pr5 R 5′-CCTCCGTCGCTGGCTATTTCC-3′; Spns2 F 5′-AGAAGCCGCATCCTCAGTTAGC-3′, Spns2 R 5′-CAGGCCAGAATCTCCCCAAATC-3′; S1pr1 F 5′-GTGTAGACCCAGAGTCCTGCG-3′, S1pr1 R 5′-AGCTTTTCCTTGGCTGGAGAG-3′; Sphk1 F 5’-CTGGGCTGCGGCTCTATTCTGT-3’; Sphk1 R 5’-AAGGTGCCCACTGTGAAACGAA-3’; Sphk2 F 5’-GTTGTGATCTTGGAGGCTGGT-3’; Sphk2 R 5’-TAGGAACCAAACTCGCCGTG-3’.
To control for DNA contamination, a reaction without reverse transcriptase was performed in parallel for each sample/primer pair. To control for nonspecific amplification, the size of the reaction products was analyzed by agarose gel electrophoresis. Primer pairs were tested for linear amplification over two orders of magnitude.
Wright-Giemsa stain:
Freshly sorted CD11b+ Ly6C+ cells were cytospun onto a slide for 6 min at 800g (Thermo Scientific Shandon Coated Cytoslide). Slides were fixed for 1 min with ice-cold methanol and dried completely. Wright-Giemsa stain (Sigma) was performed for 30 sec, washed in PBS for 5 min, washed in water for 1 min twice, and dried overnight. A coverslip was affixed using Permount (Fisher, SP15–100). Purple shows nuclei, blue to light pink shows cytoplasm.
Statistical analysis:
Graphpad Prism v.8.0.1 and v.9.0.0 was used for Mann-Whitney two-tailed t test and two-way ANOVA with Geisser-Greenhouse correction.
Extended Data
Supplementary Material
Acknowledgements:
We thank members of the Schwab laboratory, J. Cyster, D. Littman and K. Narasimhan for discussions; E. Pamer for the CCR2-DTR mice; and the NIH Tetramer Core Facility for the MOG/Ab and hCLIP/Ab tetramers. This work was supported by NIH grants R01AI085166 and R01AI123308, and the Blood Cancer Discoveries Grant Program sponsored by the Leukemia & Lymphoma Society, the Mark Foundation for Cancer Research and The Paul G. Allen Frontiers Group (to S.R.S.). NYU’s core facilities were supported in part by NIH grants P30CA016087 to the Laura and Isaac Perlmutter Cancer Center and NCRR S10RR023704-01A1. This work is dedicated to Nilabh Shastri.
Footnotes
Competing interests:
The authors declare no competing interests.
Additional information:
Correspondence and requests for materials should be addressed to Susan Schwab, susan.schwab@med.nyu.edu.
Code availability:
The ImageJ macro used for inflammatory monocyte localization is provided in Supplementary Information.
Data availability:
RNA-Seq data are available from NIH/NCBI as Gene Expression Omnibus (GEO) dataset GSE139006. All other data will be available from the authors upon reasonable request.
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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
RNA-Seq data are available from NIH/NCBI as Gene Expression Omnibus (GEO) dataset GSE139006. All other data will be available from the authors upon reasonable request.