Comparative transcriptional analysis of the satellite glial cell injury response
Author:
Jager Sara ElgaardORCID, Pallesen Lone TjenerORCID, Lin Lin, Izzi Francesca, Pinheiro Alana Miranda, Villa-Hernandez SaraORCID, Cesare PaoloORCID, Vaegter Christian BjerggaardORCID, Denk FranziskaORCID
Abstract
AbstractSatellite 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. The 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 RNAseq technologies has enabled a new approach to investigate SGCs. Here we publish a dataset from mice subjected to sciatic nerve injury as well as a dataset from dorsal root ganglia cells after 3 days in culture. We use a meta-analysis approach to compare the injury response with that in other published datasets and conclude that SGCs share a common signature following sciatic nerve crush and sciatic 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. The datasets are available via the Broad Institute Single Cell Portal.
Publisher
Cold Spring Harbor Laboratory
Reference65 articles.
1. 10X Genomics. (2021). What fraction of mRNA transcripts are captured per cell? – 10X Genomics. Retrieved October 14, 2021, from https://kb.10xgenomics.com/hc/en-us/articles/360001539051-What-fraction-of-mRNA-transcripts-are-captured-per-cell- 2. Aran, D. , Looney, A. P. , Liu, L. , Wu, E. , Fong, V. , Hsu, A. , … Bhattacharya, M. (2019). Reference-based analysis of lung single-cell sequencing reveals a transitional profibrotic macrophage. Nature Immunology, 20(2). https://doi.org/10.1038/s41590-018-0276-y 3. Avraham, O. , Chamessian, A. , Feng, R. , Halevi, A. E. , Moore, A. M. , Gereau, R. W. , & Cavalli, V. (2021). Profiling the molecular signature of Satellite Glial Cells at the single cell level reveals high similarities between rodent and human. BioRxiv, 2021.04.17.440274. Retrieved from https://doi.org/10.1101/2021.04.17.440274 4. Avraham, O. , Deng, P. Y. , Jones, S. , Kuruvilla, R. , Semenkovich, C. F. , Klyachko, V. A. , & Cavalli, V. (2020). Satellite glial cells promote regenerative growth in sensory neurons. Nature Communications, 11(1). https://doi.org/10.1038/s41467-020-18642-y 5. Avraham, O. , Feng, R. , Ewan, E. E. , Rustenhoven, J. , Zhao, G. , & Cavalli, V. (2021). Profiling sensory neuron microenvironment after peripheral and central axon injury reveals key pathways for neural repair. ELife, 10. https://doi.org/10.7554/ELIFE.68457
|
|