Experimental and computational technologies to dissect the kidney at the single-cell level.
bioinformatics
scRNA-seq
single-cell genomics
single-cell proteomics
spatial omics
Journal
Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association
ISSN: 1460-2385
Titre abrégé: Nephrol Dial Transplant
Pays: England
ID NLM: 8706402
Informations de publication
Date de publication:
25 03 2022
25 03 2022
Historique:
received:
27
02
2020
pubmed:
18
12
2020
medline:
27
4
2022
entrez:
17
12
2020
Statut:
ppublish
Résumé
The field of single-cell technologies, in particular single-cell genomics with transcriptomics and epigenomics, and most recently single-cell proteomics, is rapidly growing and holds promise to advance our understanding of organ homoeostasis and disease, and facilitate the identification of novel therapeutic targets and biomarkers. This review offers an introduction to these technologies. In addition, as the size and complexity of the data require sophisticated computational methods for analysis and interpretation, we will also provide an overview of these methods and summarize the single-cell literature specifically pertaining to the kidney.
Identifiants
pubmed: 33332571
pii: 6041067
doi: 10.1093/ndt/gfaa233
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
628-637Informations de copyright
© The Author(s) 2020. Published by Oxford University Press on behalf of the ERA.