Data Entry: Please note that the research database will be replaced by UNIverse by the end of October 2023. Please enter your data into the system https://universe-intern.unibas.ch. Thanks

Login for users with Unibas email account...

Login for registered users without Unibas email account...

 
Contribution of bistability and noise to cell fate transitions determined by feedback opening
JournalArticle (Originalarbeit in einer wissenschaftlichen Zeitschrift)
 
ID 3695382
Author(s) Hsu, Chieh; Jaquet, Vincent; Maleki, Farzaneh; Becskei, Attila
Author(s) at UniBasel Jaquet, Vincent
Hsu, Chieh
Maleki, Farzaneh
Becskei, Attila
Year 2016
Title Contribution of bistability and noise to cell fate transitions determined by feedback opening
Journal Journal of Molecular Biology
Volume 428
Number 20
Pages / Article-Number 4115-4128
Mesh terms Microbiological Techniques, methods; Phenotype; Saccharomyces cerevisiae, physiology
Abstract Alternative cell fates represent a form of non-genetic diversity, which can promote adaptation and functional specialization. It is difficult to predict the rate of the transition between two cell fates due to the strong effect of noise on feedback loops and missing parameters. We opened synthetic positive feedback loops experimentally to obtain open-loop functions. These functions allowed us to identify a deterministic model of bistability by bypassing noise and the requirement to resolve individual processes in the loop. Combining the open-loop function with kinetic measurements and re-introducing the measured noise, we were able to predict the transition rates for the feedback systems without parameter tuning. Noise in gene expression was the key determinant of the transition rates inside the bistable range. Transitions between two cell fates were also observed outside of the bistable range, evidenced by bimodality and hysteresis. In this case, a slow transient process was the rate limiting step in the transitions. Thus, feedback opening is an effective approach to identify the determinants of cell fate transitions and to predict their rates.
Publisher Elsevier
ISSN/ISBN 0022-2836 ; 1089-8638
edoc-URL http://edoc.unibas.ch/43805/
Full Text on edoc Available
Digital Object Identifier DOI 10.1016/j.jmb.2016.07.024
PubMed ID http://www.ncbi.nlm.nih.gov/pubmed/27498164
ISI-Number WOS:000385324000018
Document type (ISI) Journal Article
 
   

MCSS v5.8 PRO. 0.352 sec, queries - 0.000 sec ©Universität Basel  |  Impressum   |    
06/05/2024