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Interpretation of T cell states from single-cell transcriptomics data using reference atlases

Authors :
Massimo Andreatta
Jesus Corria-Osorio
Sören Müller
Rafael Cubas
George Coukos
Santiago J. Carmona
Source :
Nature Communications, Vol 12, Iss 1, Pp 1-19 (2021)
Publication Year :
2021
Publisher :
Nature Portfolio, 2021.

Abstract

One challenge of single cell RNA sequencing analysis is how to consistently identify cell subtypes and states across different datasets. Here the authors propose the use of a reference single-cell atlas as a stable system of coordinates to characterize T cell states across studies, diseases and species.

Subjects

Subjects :
Science

Details

Language :
English
ISSN :
20411723
Volume :
12
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Nature Communications
Publication Type :
Academic Journal
Accession number :
edsdoj.9f2f292884da42c48b6390b29c262e36
Document Type :
article
Full Text :
https://doi.org/10.1038/s41467-021-23324-4