Plate IV.285 · Publications

Low numbers of cytokine transcripts drive inflammatory skin diseases by initiating amplification cascades in localized epidermal clusters

Preprint in bioRxiv, 10 June 2021.

PreprintOpen accessResearch area: Psoriasis, Atopic Eczema

Authors

  1. A. Schäbitz
  2. C. Hillig
  3. A. Farnoud
  4. M. Jargosch
  5. E. Scala
  6. A.C. Pilz
  7. N. Bhalla
  8. M. Mubarak
  9. J. Thomas
  10. M. Stahle
  11. T. Biedermann
  12. C.B. Schmidt-Weber
  13. F. Theis
  14. N. Garzorz-Stark
  15. K. Eyerich K
  16. M.P. Menden
  17. S. Eyerich

Abstract

Abundant polyclonal T cells infiltrate chronic inflammatory diseases and characterization of these cells is needed to distinguish disease-driving from bystander immune cells. Here, we investigated 52,000 human cutaneous transcriptomes of non-communicable inflammatory skin diseases (ncISD) using spatial transcriptomics. Despite the expected T cell infiltration, we observed only 1-10 pathogenic T cell cytokine per skin section. Cytokine expression was limited to lesional skin and presented in a disease-specific pattern. In fact, we identified responder signatures in direct proximity of cytokines, and showed that single cytokine transcripts initiate amplification cascades of thousands of specific responder transcripts forming localized epidermal clusters. Thus, within the abundant and polyclonal T cell infiltrates of ncISD, only a few T cells drive disease by initiating an inflammatory amplification cascade in their local microenvironment.

Cite

@misc{schabitz2021low,
  title = {{Low numbers of cytokine transcripts drive inflammatory skin diseases by initiating amplification cascades in localized epidermal clusters}},
  author = {Schäbitz, A. and Hillig, C. and Farnoud, A. and Jargosch, M. and Scala, E. and Pilz, A.C. and Bhalla, N. and Mubarak, M. and Thomas, J. and Stahle, M. and Biedermann, T. and Schmidt-Weber, C.B. and Theis, F. and Garzorz-Stark, N. and Eyerich K, K. and Menden, M.P. and Eyerich, S.},
  howpublished = {bioRxiv},
  publisher = {openRxiv},
  year = {2021},
  month = jun,
  doi = {10.1101/2021.06.10.447894},
  url = {https://doi.org/10.1101/2021.06.10.447894},
  note = {Preprint}
}
.bib file