Systems biology approaches to measure and model phenotypic heterogeneity in cancer.
Journal
Current opinion in systems biology
ISSN: 2452-3100
Titre abrégé: Curr Opin Syst Biol
Pays: England
ID NLM: 101698476
Informations de publication
Date de publication:
Oct 2019
Oct 2019
Historique:
entrez:
1
9
2020
pubmed:
31
8
2020
medline:
31
8
2020
Statut:
ppublish
Résumé
The recent wide-spread adoption of single cell profiling technologies has revealed that individual cancers are not homogenous collections of deregulated cells, but instead are comprised of multiple genetically and phenotypically distinct cell subpopulations that exhibit a wide range of responses to extracellular signals and therapeutic insult. Such observations point to the urgent need to understand cancer as a complex, adaptive system. Cancer systems biology studies seek to develop the experimental and theoretical methods required to understand how biological components work together to determine how cancer cells function. Ultimately, such approaches will lead to improvements in how cancer is managed and treated. In this review, we discuss recent advances in cancer systems biology approaches to quantify, model, and elucidate mechanisms of heterogeneity.
Identifiants
pubmed: 32864511
doi: 10.1016/j.coisb.2019.09.002
pmc: PMC7449235
mid: NIHMS1539713
doi:
Types de publication
Journal Article
Langues
eng
Pagination
35-40Subventions
Organisme : NHGRI NIH HHS
ID : U54 HG008100
Pays : United States
Organisme : NCI NIH HHS
ID : U01 CA217842
Pays : United States
Organisme : NIH HHS
ID : DP5 OD019815
Pays : United States
Organisme : NCI NIH HHS
ID : U01 CA215709
Pays : United States
Organisme : NCI NIH HHS
ID : U54 CA209988
Pays : United States
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