How cells tame noise while maintaining ultrasensitive transcriptional responses

Ultrasensitive transcriptional switches are essential for converting gradual molecular inputs into decisive gene expression responses, enabling critical behaviors such as bistability and oscillations. While cooperative binding, relying on direct repressor-DNA binding, has been classically regarded as a key ultrasensitivity mechanism, recent theoretical works have demonstrated that combinations of indirect repression mechanisms-sequestration, blocking, and displacement-can also achieve ultrasensitive switches with greater robustness to transcriptional noise. However, these previous works have neglected key biological constraints such as DNA binding kinetics and the limited availability of transcriptional activators, raising the question of whether ultrasensitivity and noise robustness can be sustained under biologically realistic conditions. Here, we systematically assess the impact of these factors on ultrasensitivity and noise robustness under physiologically plausible conditions. We show that while various repression combinations can reduce noise, only the full combination of all three indirect mechanisms consistently maintains low noise and high ultrasensitivity. As a result, biological oscillators employing this triple repression architecture retain precise rhythmic switching even under high noise, and even when activators are shared across thousands of target genes. Our findings offer a mechanistic explanation for the frequent co-occurrence of these repression mechanisms in natural gene regulatory systems.

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Publication Details

Journal
PLoS Computational Biology
Published
2025-12-11
DOI
https://doi.org/10.1371/journal.pcbi.1013217
Citations
1
Primary Topic
Gene Regulatory Network Analysis
Type
article
Field-Weighted Citation Impact
0.81
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article

How cells tame noise while maintaining ultrasensitive transcriptional responses

Eui Min Jeong, Jae Kyoung Kim, Chang Y. Chung
1 citations
PLoS Computational Biology
Gene Regulatory Network Analysis
0.81
article

How cells tame noise while maintaining ultrasensitive transcriptional responses

Eui Min Jeong, Jae Kyoung Kim, Chang Y. Chung
article en
1 citations

Abstract

Ultrasensitive transcriptional switches are essential for converting gradual molecular inputs into decisive gene expression responses, enabling critical behaviors such as bistability and oscillations. While cooperative binding, relying on direct repressor-DNA binding, has been classically regarded as a key ultrasensitivity mechanism, recent theoretical works have demonstrated that combinations of indirect repression mechanisms-sequestration, blocking, and displacement-can also achieve ultrasensitive switches with greater robustness to transcriptional noise. However, these previous works have neglected key biological constraints such as DNA binding kinetics and the limited availability of transcriptional activators, raising the question of whether ultrasensitivity and noise robustness can be sustained under biologically realistic conditions. Here, we systematically assess the impact of these factors on ultrasensitivity and noise robustness under physiologically plausible conditions. We show that while various repression combinations can reduce noise, only the full combination of all three indirect mechanisms consistently maintains low noise and high ultrasensitivity. As a result, biological oscillators employing this triple repression architecture retain precise rhythmic switching even under high noise, and even when activators are shared across thousands of target genes. Our findings offer a mechanistic explanation for the frequent co-occurrence of these repression mechanisms in natural gene regulatory systems.

PLoS Computational BiologyVol. 21(12)
Korea Advanced Institute of Science and Technology (KR), Inha University (KR), Korea University (KR), Institute for Basic Science (KR), National Institute for Mathematical Sciences (KR), Université de Montréal (CA)
Openalex Percentile: Top 21%
Gene Regulatory Network Analysis
0.81
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How cells tame noise while maintaining ultrasensitive transcriptional responses — Eui Min Jeong, Jae Kyoung Kim, et al. · PLoS Computational Biology (2025) | TGRS Research Map | TGRS