TY - JOUR
T1 - Activation domains can decouple the mean and noise of gene expression
AU - Loell, Kaiser
AU - Wu, Yawei
AU - Staller, Max
AU - Cohen, Barak
N1 - Publisher Copyright:
© 2022 The Author(s)
PY - 2022/7/19
Y1 - 2022/7/19
N2 - Regulatory mechanisms set a gene's average level of expression, but a gene's expression constantly fluctuates around that average. These stochastic fluctuations, or expression noise, play a role in cell-fate transitions, bet hedging in microbes, and the development of chemotherapeutic resistance in cancer. An outstanding question is what regulatory mechanisms contribute to noise. Here, we demonstrate that, for a fixed mean level of expression, strong activation domains (ADs) at low abundance produce high expression noise, while weak ADs at high abundance generate lower expression noise. We conclude that differences in noise can be explained by the interplay between a TF's nuclear concentration and the strength of its AD's effect on mean expression, without invoking differences between classes of ADs. These results raise the possibility of engineering gene expression noise independently of mean levels in synthetic biology contexts and provide a potential mechanism for natural selection to tune the noisiness of gene expression.
AB - Regulatory mechanisms set a gene's average level of expression, but a gene's expression constantly fluctuates around that average. These stochastic fluctuations, or expression noise, play a role in cell-fate transitions, bet hedging in microbes, and the development of chemotherapeutic resistance in cancer. An outstanding question is what regulatory mechanisms contribute to noise. Here, we demonstrate that, for a fixed mean level of expression, strong activation domains (ADs) at low abundance produce high expression noise, while weak ADs at high abundance generate lower expression noise. We conclude that differences in noise can be explained by the interplay between a TF's nuclear concentration and the strength of its AD's effect on mean expression, without invoking differences between classes of ADs. These results raise the possibility of engineering gene expression noise independently of mean levels in synthetic biology contexts and provide a potential mechanism for natural selection to tune the noisiness of gene expression.
KW - CP: Molecular biology
KW - noise
KW - single-cell variability
KW - stochastic gene expression
KW - synthetic biology
KW - transcription
KW - transcription factors
KW - transcriptional regulation
KW - yeast genetics
UR - http://www.scopus.com/inward/record.url?scp=85134739315&partnerID=8YFLogxK
U2 - 10.1016/j.celrep.2022.111118
DO - 10.1016/j.celrep.2022.111118
M3 - Article
C2 - 35858548
AN - SCOPUS:85134739315
SN - 2639-1856
VL - 40
JO - Cell Reports
JF - Cell Reports
IS - 3
M1 - 111118
ER -