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Single-cell profiling reveals GPCR heterogeneity and functional patterning during neuroinflammation
Denise Tischner, Myriam Grimm, Harmandeep Kaur, Daniel Staudenraus, Jorge Carvalho, Mario Looso, Stefan Günther, Florian Wanke, Sonja Moos, Nelly Siller, Johanna Breuer, Nicholas Schwab, Frauke Zipp, Ari Waisman, Florian C. Kurschus, Stefan Offermanns, Nina Wettschureck
Denise Tischner, Myriam Grimm, Harmandeep Kaur, Daniel Staudenraus, Jorge Carvalho, Mario Looso, Stefan Günther, Florian Wanke, Sonja Moos, Nelly Siller, Johanna Breuer, Nicholas Schwab, Frauke Zipp, Ari Waisman, Florian C. Kurschus, Stefan Offermanns, Nina Wettschureck
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Research Article Immunology

Single-cell profiling reveals GPCR heterogeneity and functional patterning during neuroinflammation

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Abstract

GPCR expression was intensively studied in bulk cDNA of leukocyte populations, but limited data are available with respect to expression in individual cells. Here, we show a microfluidic-based single-cell GPCR expression analysis in primary T cells, myeloid cells, and endothelial cells under naive conditions and during experimental autoimmune encephalomyelitis, the mouse model of multiple sclerosis. We found that neuroinflammation induces characteristic changes in GPCR heterogeneity and patterning, and we identify various functionally relevant subgroups with specific GPCR profiles among spinal cord–infiltrating CD4 T cells, macrophages, microglia, or endothelial cells. Using GPCRs CXCR4, S1P1, and LPHN2 as examples, we show how this information can be used to develop new strategies for the functional modulation of Th17 cells and activated endothelial cells. Taken together, single-cell GPCR expression analysis identifies functionally relevant subpopulations with specific GPCR repertoires and provides a basis for the development of new therapeutic strategies in immune disorders.

Authors

Denise Tischner, Myriam Grimm, Harmandeep Kaur, Daniel Staudenraus, Jorge Carvalho, Mario Looso, Stefan Günther, Florian Wanke, Sonja Moos, Nelly Siller, Johanna Breuer, Nicholas Schwab, Frauke Zipp, Ari Waisman, Florian C. Kurschus, Stefan Offermanns, Nina Wettschureck

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Figure 7

Single-cell GPCR expression in spinal cord endothelial cells from naive mice (ECscN) and mice at peak EAE disease (ECscEAE).

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Single-cell GPCR expression in spinal cord endothelial cells from naive ...
(A) Heat map of GPCR expression in ECscN (33 from 5 mice) and ECscEAE (125 cells from 15 mice); horizontal bars on the right side visualize expression frequency (%). (B) T-SNE plot showing similarities between individual CD4scEAE and results of k-means cluster analysis (k-means cluster assignment is indicated by color). (C) Genes differentially expressed in cluster 1 cells. (D) Representation of Spearman coefficients for the correlation of gene expression (width of connecting lines indicates strength of correlation). (E and F) Transcriptional changes observed after knockdown of LPHN2 with 2 independent siRNAs (n = 4 experiments). (G and H) Adhesion of calcein-labeled THP1 monocytes to resting (G) or TNFα-activated (H) HUVEC. The proportion of calcein-positive adherent cells was determined after washing and trypsinization by flow cytometry and is expressed as percent of all trypsinized cells. Expression data are calculated as 2(Lod Ct – sample Ct); LoD Ct = 24.*P < 0.05; **P < 0.01; ***P < 0.001 (E and F, one sample t test; G and H, paired t test).

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