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Comparative transcriptional analysis of satellite glial cell injury response
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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
F1000 Research Limited
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9329822/ https://www.ncbi.nlm.nih.gov/pubmed/35950162 http://dx.doi.org/10.12688/wellcomeopenres.17885.1 |
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author | Jager, Sara Elgaard Pallesen, Lone Tjener Lin, Lin Izzi, Francesca Pinheiro, Alana Miranda Villa-Hernandez, Sara Cesare, Paolo Vaegter, Christian Bjerggaard Denk, Franziska |
author_facet | Jager, Sara Elgaard Pallesen, Lone Tjener Lin, Lin Izzi, Francesca Pinheiro, Alana Miranda Villa-Hernandez, Sara Cesare, Paolo Vaegter, Christian Bjerggaard Denk, Franziska |
author_sort | Jager, Sara Elgaard |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9329822 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | F1000 Research Limited |
record_format | MEDLINE/PubMed |
spelling | pubmed-93298222022-08-09 Comparative transcriptional analysis of satellite glial cell injury response Jager, Sara Elgaard Pallesen, Lone Tjener Lin, Lin Izzi, Francesca Pinheiro, Alana Miranda Villa-Hernandez, Sara Cesare, Paolo Vaegter, Christian Bjerggaard Denk, Franziska Wellcome Open Res Research Article 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. F1000 Research Limited 2022-05-19 /pmc/articles/PMC9329822/ /pubmed/35950162 http://dx.doi.org/10.12688/wellcomeopenres.17885.1 Text en Copyright: © 2022 Jager SE et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Jager, Sara Elgaard Pallesen, Lone Tjener Lin, Lin Izzi, Francesca Pinheiro, Alana Miranda Villa-Hernandez, Sara Cesare, Paolo Vaegter, Christian Bjerggaard Denk, Franziska Comparative transcriptional analysis of satellite glial cell injury response |
title | Comparative transcriptional analysis of satellite glial cell injury response |
title_full | Comparative transcriptional analysis of satellite glial cell injury response |
title_fullStr | Comparative transcriptional analysis of satellite glial cell injury response |
title_full_unstemmed | Comparative transcriptional analysis of satellite glial cell injury response |
title_short | Comparative transcriptional analysis of satellite glial cell injury response |
title_sort | comparative transcriptional analysis of satellite glial cell injury response |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9329822/ https://www.ncbi.nlm.nih.gov/pubmed/35950162 http://dx.doi.org/10.12688/wellcomeopenres.17885.1 |
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