The mean and noise of protein numbers in stochastic gene expression

DOI10.1007/s00285-012-0551-8zbMath1402.92180OpenAlexW1980563125WikidataQ51363234 ScholiaQ51363234MaRDI QIDQ353096

Juhong Kuang, Moxun Tang, Jian She Yu

Publication date: 12 July 2013

Published in: Journal of Mathematical Biology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00285-012-0551-8

zbMATH Keywords

stochastic gene expressionnoise and noise strengthoscillatory dynamics

Mathematics Subject Classification ID

Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.) (60J20) Biochemistry, molecular biology (92C40) Cell biology (92C37)

Related Items (7)

Modulation of first-passage time for bursty gene expression via random signals ⋮ MONOTONIC DYNAMICS OF MRNA DEGRADATION BY TWO PATHWAYS ⋮ The mean and noise of stochastic gene transcription with cell division ⋮ Existence of a unique invariant measure for a class of equicontinuous Markov operators with application to a stochastic model for an autoregulated gene ⋮ Analytical formula and dynamic profile of mRNA distribution ⋮ The nonlinear dynamics and fluctuations of mRNA levels in cross-talking pathway activated transcription ⋮ Quantifying gene expression variability arising from randomness in cell division times

Cites Work

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• Modulation of gene transcription noise by competing transcription factors
• Random dynamics of gene transcription activation in single cells
• The mean and noise of stochastic gene transcription
• Markovian modelling of gene product synthesis
• The mean frequency of transcriptional bursting and its variation in single cells

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