4.6 Article

Single-Cell Transcriptional Heterogeneity of Lymphatic Endothelial Cells in Normal and Inflamed Murine Lymph Nodes

Journal

CELLS
Volume 10, Issue 6, Pages -

Publisher

MDPI
DOI: 10.3390/cells10061371

Keywords

scRNA-seq; inflammation; lymph node; lymphatic endothelial cells

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Funding

  1. Swiss National Science Foundation [310030_166490, 310030B_185392]
  2. European Research Council grant LYVICAM
  3. Swiss National Science Foundation (SNF) [310030_166490, 310030B_185392] Funding Source: Swiss National Science Foundation (SNF)

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The study used single-cell RNA sequencing to investigate transcriptional changes in lymphatic endothelial cells in lymph nodes draining naive and inflamed skin. It was found that subsets of these cells responded individually to skin inflammation, suggesting distinct functions under pathological conditions. Dysregulated genes during inflammation were identified, including an up-regulation of CD200, potentially involved in immune regulation. Additionally, in silico analysis predicted interactions of these cells with diverse immune cells in the lymph nodes, showing similarities in transcriptional changes in different skin inflammation settings.
The lymphatic system plays a crucial role in immunity and lymph nodes (LNs) undergo drastic remodeling during inflammation. Here, we used single-cell RNA sequencing to investigate transcriptional changes in lymphatic endothelial cells (LECs) in LNs draining naive and inflamed skin. We found that subsets of LECs lining the different LN sinuses responded individually to skin inflammation, suggesting that they exert distinct functions under pathological conditions. Among the genes dysregulated during inflammation, we confirmed an up-regulation of CD200 in the LECs lining the subcapsular sinus floor with a possible function in immune regulation. Furthermore, by in silico analysis, we predicted numerous possible interactions of LECs with diverse immune cells in the LNs and found similarities in the transcriptional changes of LN LECs in different skin inflammation settings. In summary, we provide an in-depth analysis of the transcriptional landscape of LN LECs in the naive state and in skin inflammation.

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