Code for the analysis of scRNA-seq data from spinal cord ependymal cells of young and aged mice
Creators
- 1. Division of Molecular, Cell and Developmental Biology, School of Life Sciences, University of Dundee, Dundee DD1 5EH, UK
- 2. Department of Cell and Molecular Biology, Karolinska Institutet, SE-171 77 Stockholm, Sweden
- 3. Chan Zuckerberg Biohub, San Francisco, CA 94158, USA
- 4. Medical Research Council Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh EH4 2XU, UK
Description
The adult spinal cord stem cell potential resides within the ependymal cell population and declines with age. Ependymal cells are, however, heterogeneous and the biological diversity this represents and how it changes with age remain unknown. This repository contains the code used to analyse single-cell RNA sequencing data of spinal cord ependymal cells from adult and aged mice that led us to uncover the profiles of all known ependymal cell subtypes and new immature and mature cell states. The R scripts are numbered based on which figure the analyses relate to.
The preprint of the study can be found at: https://www.biorxiv.org/content/10.1101/2022.03.07.483249v1
Raw sequencing data, raw count matrices, and processed data have been deposited at ArrayExpress under accession numbers E-MTAB-11561 (10x Genomics) and E-MTAB-11563 (Smart-seq2).
Notes
Files
aidarodrigo/ependymal_cell-v1.0.0.zip
Files
(30.2 kB)
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Additional details
Related works
- Is supplement to
- https://github.com/aidarodrigo/ependymal_cell/tree/v1.0.0 (URL)
Funding
References
- Rodrigo Albors et al. (2022). Code for the analysis of scRNA-seq data related to bioRxiv 10.1101/2022.03.07.483249v1