Single-cell image analysis to explore cell-to-cell heterogeneity in isogenic populations.
fluorescence microscopy
high-content screening
phenotypic diversity
phenotypic heterogeneity
single-cell image analysis
Journal
Cell systems
ISSN: 2405-4720
Titre abrégé: Cell Syst
Pays: United States
ID NLM: 101656080
Informations de publication
Date de publication:
16 06 2021
16 06 2021
Historique:
received:
21
12
2020
revised:
26
04
2021
accepted:
12
05
2021
entrez:
17
6
2021
pubmed:
18
6
2021
medline:
7
4
2022
Statut:
ppublish
Résumé
Single-cell image analysis provides a powerful approach for studying cell-to-cell heterogeneity, which is an important attribute of isogenic cell populations, from microbial cultures to individual cells in multicellular organisms. This phenotypic variability must be explained at a mechanistic level if biologists are to fully understand cellular function and address the genotype-to-phenotype relationship. Variability in single-cell phenotypes is obscured by bulk readouts or averaging of phenotypes from individual cells in a sample; thus, single-cell image analysis enables a higher resolution view of cellular function. Here, we consider examples of both small- and large-scale studies carried out with isogenic cell populations assessed by fluorescence microscopy, and we illustrate the advantages, challenges, and the promise of quantitative single-cell image analysis.
Identifiants
pubmed: 34139168
pii: S2405-4712(21)00196-4
doi: 10.1016/j.cels.2021.05.010
pmc: PMC9112900
mid: NIHMS1805109
pii:
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
608-621Subventions
Organisme : NHGRI NIH HHS
ID : R01 HG005853
Pays : United States
Organisme : CIHR
ID : FDN-143264
Pays : Canada
Organisme : CIHR
ID : FDN-143265
Pays : Canada
Informations de copyright
Copyright © 2021. Published by Elsevier Inc.
Déclaration de conflit d'intérêts
Declaration of interests The authors declare no competing interests.
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