Modulation of first-passage time for bursty gene expression via random signals

The stochastic nature of cell-specific signal molecules (such as transcription factor, ribosome, etc.) and the intrinsic stochastic nature of gene expression process result in cell-to-cell variations at protein levels. Increasing experimental evidences suggest that cell phenotypic variations often d...

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Main Authors: Qiuying Li, Lifang Huang, Jianshe Yu
Format: Article
Language:English
Published: AIMS Press 2017-09-01
Series:Mathematical Biosciences and Engineering
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Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2017065
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author Qiuying Li
Lifang Huang
Jianshe Yu
author_facet Qiuying Li
Lifang Huang
Jianshe Yu
author_sort Qiuying Li
collection DOAJ
description The stochastic nature of cell-specific signal molecules (such as transcription factor, ribosome, etc.) and the intrinsic stochastic nature of gene expression process result in cell-to-cell variations at protein levels. Increasing experimental evidences suggest that cell phenotypic variations often depend on the accumulation of some special proteins. Hence, a natural and fundamental question is: How does input signal affect the timing of protein count up to a given threshold? To this end, we study effects of input signal on the first-passage time (FPT), the time at which the number of proteins crosses a given threshold. Input signal is distinguished into two types: constant input signal and random input signal, regulating only burst frequency (or burst size) of gene expression. Firstly, we derive analytical formulae for FPT moments in each case of constant signal regulation and random signal regulation. Then, we find that random input signal tends to increases the mean and noise of FPT compared with constant input signal. Finally, we observe that different regulation ways of random signal have different effects on FPT, that is, burst size modulation tends to decrease the mean of FPT and increase the noise of FPT compared with burst frequency modulation. Our findings imply a fundamental mechanism that random fluctuating environment may prolong FPT. This can provide theoretical guidance for studies of some cellular key events such as latency of HIV and lysis time of bacteriophage $λ.$ In conclusion, our results reveal impacts of external signal on FPT and aid understanding the regulation mechanism of gene expression.
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spelling doaj-art-322373dd10fc421ea5319d86a4d40c452025-01-24T02:40:31ZengAIMS PressMathematical Biosciences and Engineering1551-00182017-09-01145&61261127710.3934/mbe.2017065Modulation of first-passage time for bursty gene expression via random signalsQiuying Li0Lifang Huang1Jianshe Yu2. School of Mathematics and Information Science, Guangzhou University, Guangzhou 510006, China. School of Mathematics and Information Science, Guangzhou University, Guangzhou 510006, China. School of Mathematics and Information Science, Guangzhou University, Guangzhou 510006, ChinaThe stochastic nature of cell-specific signal molecules (such as transcription factor, ribosome, etc.) and the intrinsic stochastic nature of gene expression process result in cell-to-cell variations at protein levels. Increasing experimental evidences suggest that cell phenotypic variations often depend on the accumulation of some special proteins. Hence, a natural and fundamental question is: How does input signal affect the timing of protein count up to a given threshold? To this end, we study effects of input signal on the first-passage time (FPT), the time at which the number of proteins crosses a given threshold. Input signal is distinguished into two types: constant input signal and random input signal, regulating only burst frequency (or burst size) of gene expression. Firstly, we derive analytical formulae for FPT moments in each case of constant signal regulation and random signal regulation. Then, we find that random input signal tends to increases the mean and noise of FPT compared with constant input signal. Finally, we observe that different regulation ways of random signal have different effects on FPT, that is, burst size modulation tends to decrease the mean of FPT and increase the noise of FPT compared with burst frequency modulation. Our findings imply a fundamental mechanism that random fluctuating environment may prolong FPT. This can provide theoretical guidance for studies of some cellular key events such as latency of HIV and lysis time of bacteriophage $λ.$ In conclusion, our results reveal impacts of external signal on FPT and aid understanding the regulation mechanism of gene expression.https://www.aimspress.com/article/doi/10.3934/mbe.2017065first-passage timegene expressionrandom input signalburst frequencyburst sizeregulation
spellingShingle Qiuying Li
Lifang Huang
Jianshe Yu
Modulation of first-passage time for bursty gene expression via random signals
Mathematical Biosciences and Engineering
first-passage time
gene expression
random input signal
burst frequency
burst size
regulation
title Modulation of first-passage time for bursty gene expression via random signals
title_full Modulation of first-passage time for bursty gene expression via random signals
title_fullStr Modulation of first-passage time for bursty gene expression via random signals
title_full_unstemmed Modulation of first-passage time for bursty gene expression via random signals
title_short Modulation of first-passage time for bursty gene expression via random signals
title_sort modulation of first passage time for bursty gene expression via random signals
topic first-passage time
gene expression
random input signal
burst frequency
burst size
regulation
url https://www.aimspress.com/article/doi/10.3934/mbe.2017065
work_keys_str_mv AT qiuyingli modulationoffirstpassagetimeforburstygeneexpressionviarandomsignals
AT lifanghuang modulationoffirstpassagetimeforburstygeneexpressionviarandomsignals
AT jiansheyu modulationoffirstpassagetimeforburstygeneexpressionviarandomsignals