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Schuh, L. ; Saint-Antoine, M.* ; Sanford, E.M.* ; Emert, B.L.* ; Singh, A.* ; Marr, C. ; Raj, A.* ; Goyal, Y.*

Gene networks with transcriptional bursting recapitulate rare transient coordinated high expression states in cancer.

Cell Syst. 10, 363-378.e12 (2020)
Verlagsversion Postprint DOI
Open Access Green
Non-genetic transcriptional variability is a potential mechanism for therapy resistance in melanoma. Specifically, rare subpopulations of cells occupy a transient pre-resistant state characterized by coordinated high expression of several genes and survive therapy. How might these rare states arise and disappear within the population? It is unclear whether the canonical models of probabilistic transcriptional pulsing can explain this behavior, or if it requires special, hitherto unidentified mechanisms. We show that a minimal model of transcriptional bursting and gene interactions can give rise to rare coordinated high expression states, These states occur more frequently in networks with low connectivity and depend on three parameters. While entry into these states is initiated by a long transcriptional burst that also triggers entry of other genes, the exit occurs through independent inactivation of individual genes. Together, we demonstrate that established principles of gene regulation are sufficient to describe this behavior and argue for its more general existence. A record of this paper's transparent peer review process is included in the Supplemental Information.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Drug Resistance ; Gene Expression ; Melanoma ; Network ; Non-genetic ; Stochasticity; Cell Variability; Fates
Sprache englisch
Veröffentlichungsjahr 2020
HGF-Berichtsjahr 2020
ISSN (print) / ISBN 2405-4712
e-ISSN 2405-4720
Zeitschrift Cell Systems
Quellenangaben Band: 10, Heft: 4, Seiten: 363-378.e12 Artikelnummer: , Supplement: ,
Verlag Elsevier
Verlagsort Maryland Heights, MO
POF Topic(s) 30205 - Bioengineering and Digital Health
Forschungsfeld(er) Enabling and Novel Technologies
PSP-Element(e) G-503800-001
Scopus ID 85083320293
Erfassungsdatum 2020-05-15