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Comparative transcriptional analysis of satellite glial cell injury response

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  • Sara Elgaard Jager, King's College London, London
  • ,
  • Lone Tjener Pallesen
  • Lin Lin
  • Francesca Izzi, NMI Natural and Medical Sciences Institute at the University of Tübingen
  • ,
  • Alana Miranda Pinheiro
  • Sara Villa-Hernandez, King's College London, London
  • ,
  • Paolo Cesare, NMI Natural and Medical Sciences Institute at the University of Tübingen
  • ,
  • Christian Bjerggaard Vaegter
  • Franziska Denk, King's College London, London

Background: Satellite glial cells (SGCs) tightly surround and support primary sensory neurons in the peripheral nervous system and are increasingly recognized for their involvement in the development of neuropathic pain following nerve injury. SGCs are difficult to investigate due to their flattened shape and tight physical connection to neurons in vivo and their rapid changes in phenotype and protein expression when cultured in vitro. Consequently, several aspects of SGC function under normal conditions as well as after a nerve injury remain to be explored. The recent advance in single cell RNA sequencing (scRNAseq) technologies has enabled a new approach to investigate SGCs. Methods: In this study we used scRNAseq to investigate SGCs from mice subjected to sciatic nerve injury. We used a meta-analysis approach to compare the injury response with that found in other published datasets. Furthermore, we also used scRNAseq to investigate how cells from the dorsal root ganglion (DRG) change after 3 days in culture. Results: From our meta-analysis of the injured conditions, we find that SGCs share a common signature of 18 regulated genes following sciatic nerve crush or sciatic nerve ligation, involving transcriptional regulation of cholesterol biosynthesis. We also observed a considerable transcriptional change when culturing SGCs, suggesting that some differentiate into a specialised in vitro state while others start resembling Schwann cell-like precursors. Conclusion: By using integrated analyses of new and previously published scRNAseq datasets, this study provides a consensus view of which genes are most robustly changed in SGCs after injury. Our results are available via the Broad Institute Single Cell Portal, so that readers can explore and search for genes of interest.

Original languageEnglish
Article number156
JournalWellcome Open Research
Volume7
ISSN2398-502X
DOIs
Publication statusPublished - May 2022

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Copyright: © 2022 Jager SE et al.

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