Applications of high-resolution clone tracking technologies in cancer.
cell barcoding
clonality
lineage tracing
single cell transcriptomics
tumor heterogeneity
Journal
Current opinion in biomedical engineering
ISSN: 2468-4511
Titre abrégé: Curr Opin Biomed Eng
Pays: England
ID NLM: 101704011
Informations de publication
Date de publication:
Sep 2021
Sep 2021
Historique:
entrez:
13
12
2021
pubmed:
14
12
2021
medline:
14
12
2021
Statut:
ppublish
Résumé
Tumors are comprised of dynamic, heterogenous cell populations characterized by numerous genetic and non-genetic alterations that accumulate and change with disease progression and treatment. Retrospective analyses of tumor evolution have relied on the measurement of genetic markers (such as copy number variants) to infer clonal dynamics. However, these approaches neglect the critical contributions of non-genetic drivers of disease. Techniques that harness the power of prospective clone tracking via heritable barcode tags provide an alternative strategy. In this review, we discuss methods for high-resolution, quantitative clone tracking, including recent advancements to pair barcode-specific functionality with scRNA-seq, clonal cell isolation, and in situ hybridization and imaging. We discuss these approaches in the context of cancer cell heterogeneity and treatment resistance.
Identifiants
pubmed: 34901584
doi: 10.1016/j.cobme.2021.100317
pmc: PMC8658740
mid: NIHMS1760042
pii:
doi:
Types de publication
Journal Article
Langues
eng
Subventions
Organisme : NCI NIH HHS
ID : R21 CA212928
Pays : United States
Organisme : NCI NIH HHS
ID : U01 CA253540
Pays : United States
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