Single cell RNA‐sequencing: A powerful yet still challenging technology to study cellular heterogeneity

Almost all biomedical research to date has relied upon mean measurements from cell populations, however it is well established that what it is observed at this macroscopic level can be the result of many interactions of several different single cells. Thus, the observable macroscopic ‘average’ canno...

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Veröffentlicht in:	BioEssays Jg. 44; H. 11; S. e2200084 - n/a
Hauptverfasser:	Ke, May, Elshenawy, Badran, Sheldon, Helen, Arora, Anjali, Buffa, Francesca M
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Cambridge Wiley Subscription Services, Inc 01.11.2022
Schlagworte:	bioinformatics biomedical research Cardiovascular diseases complex disease computational biology Computer applications Context diabetes Diabetes mellitus Disease disease progression Disease resistance evolution Gene sequencing Heterogeneity Medical research neoplasms New technology Pipelines Populations Questions RNA scRNA‐seq sequence analysis single‐cell RNA sequencing therapeutics transcriptome Transcriptomes transcriptomics Tumors tumour microenvironment
ISSN:	0265-9247, 1521-1878, 1521-1878
Online-Zugang:	Volltext
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