Small RNA transcriptome analysis using parallel single-cell small RNA sequencing.
Journal
Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288
Informations de publication
Date de publication:
09 05 2023
09 05 2023
Historique:
received:
12
05
2022
accepted:
28
04
2023
medline:
11
5
2023
pubmed:
10
5
2023
entrez:
10
5
2023
Statut:
epublish
Résumé
miRNA and other forms of small RNAs are known to regulate many biological processes. Single-cell small RNA sequencing can be used to profile small RNAs of individual cells; however, limitations of efficiency and scale prevent its widespread application. Here, we developed parallel single-cell small RNA sequencing (PSCSR-seq), which can overcome the limitations of existing methods and enable high-throughput small RNA expression profiling of individual cells. Analysis of PSCSR-seq data indicated that diverse cell types could be identified based on patterns of miRNA expression, and showed that miRNA content in nuclei is informative (for example, cell type marker miRNAs can be detected in isolated nuclei). PSCSR-seq is very sensitive: analysis of only 732 peripheral blood mononuclear cells (PBMCs) detected 774 miRNAs, whereas bulk small RNA analysis would require input RNA from approximately 10
Identifiants
pubmed: 37160973
doi: 10.1038/s41598-023-34390-7
pii: 10.1038/s41598-023-34390-7
pmc: PMC10170110
doi:
Substances chimiques
MicroRNAs
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
7501Informations de copyright
© 2023. The Author(s).
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