Amplification of noisy gene expression by protein burden: An analytical approach-Reference-Cited by-同舟云学术

Amplification of noisy gene expression by protein burden: An analytical approach

Published:2023-05-31 Issue: Volume: Page:
ISSN:
Container-title:2023 American Control Conference (ACC)
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Author:

Zabaikina Iryna¹,Zhang Zhanhao²,Nieto César²,Bokes Pavol¹,Singh Abhyudai³

Affiliation:

1. Comenius University,Department of Applied Mathematics and Statistics,Bratislava,Slovakia,84248

2. University of Delaware,Department of Electrical and Computer Engineering,Newark,DE,USA,19716

3. University of Delaware,Department of Electrical and Computer Engineering, Department of Biomedical Engineering and Department of Mathematical Sciences,Newark,DE,USA,19716

Funder

Research and Development

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10155646/10155787/10156378.pdf?arnumber=10156378

Reference51 articles.

1. Stochastic Gene Expression in a Lentiviral Positive-Feedback Loop: HIV-1 Tat Fluctuations Drive Phenotypic Diversity

2. Memory of cell shape biases stochastic fate decision-making despite mitotic rounding

3. Negative Feedback Through mRNA Provides the Best Control of Gene-Expression Noise

4. Optimal Feedback Strength for Noise Suppression in Autoregulatory Gene Networks

5. Stochastic Switching of Cell Fate in Microbes

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