Steady-state distributions of nascent RNA for general initiation mechanisms

J. Szavits-Nossan; Ramon Grima

Steady-state distributions of nascent RNA for general initiation mechanisms

J. Szavits-Nossan, Ramon Grima

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Abstract / Description of output

Fluctuations in the number of nascent RNA accurately reflect transcriptional activity. However,mathematical models predicting their distributions are difficult to solve analytically due to theirnon-Markovian nature stemming from transcriptional elongation. Here we circumvent this problemby deriving an exact relationship between the steady-state distribution of nascent RNA and the distributionof initiation times, which can be computed for any general initiation mechanism describedby a set of first-order reactions. We test our theory using simulations and live cell imaging data.

Original language	English
Article number	013064
Number of pages	14
Journal	Physical Review Research
Volume	5
Issue number	1
Early online date	31 Jan 2023
Publication status	Published - 31 Jan 2023

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GrimaEtalPRR2022SteadyStateDistributionsOfNascentRNA
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Modelling the fits and starts of how genes burst into expression
Grima, R.
Other
1/04/21 → 31/03/24
Project: Research

Cite this

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title = "Steady-state distributions of nascent RNA for general initiation mechanisms",

abstract = "Fluctuations in the number of nascent RNA accurately reflect transcriptional activity. However,mathematical models predicting their distributions are difficult to solve analytically due to theirnon-Markovian nature stemming from transcriptional elongation. Here we circumvent this problemby deriving an exact relationship between the steady-state distribution of nascent RNA and the distributionof initiation times, which can be computed for any general initiation mechanism describedby a set of first-order reactions. We test our theory using simulations and live cell imaging data.",

author = "J. Szavits-Nossan and Ramon Grima",

note = "Funding Information: This work was supported by a research project grant from the Leverhulme Trust (No. RPG-2020-327). Publisher Copyright: {\textcopyright} 2023 authors. Published by the American Physical Society.",

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journal = "Physical Review Research",

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AU - Szavits-Nossan, J.

AU - Grima, Ramon

N1 - Funding Information: This work was supported by a research project grant from the Leverhulme Trust (No. RPG-2020-327). Publisher Copyright: © 2023 authors. Published by the American Physical Society.

PY - 2023/1/31

Y1 - 2023/1/31

N2 - Fluctuations in the number of nascent RNA accurately reflect transcriptional activity. However,mathematical models predicting their distributions are difficult to solve analytically due to theirnon-Markovian nature stemming from transcriptional elongation. Here we circumvent this problemby deriving an exact relationship between the steady-state distribution of nascent RNA and the distributionof initiation times, which can be computed for any general initiation mechanism describedby a set of first-order reactions. We test our theory using simulations and live cell imaging data.

AB - Fluctuations in the number of nascent RNA accurately reflect transcriptional activity. However,mathematical models predicting their distributions are difficult to solve analytically due to theirnon-Markovian nature stemming from transcriptional elongation. Here we circumvent this problemby deriving an exact relationship between the steady-state distribution of nascent RNA and the distributionof initiation times, which can be computed for any general initiation mechanism describedby a set of first-order reactions. We test our theory using simulations and live cell imaging data.

M3 - Article

SN - 2643-1564

VL - 5

JO - Physical Review Research

JF - Physical Review Research

IS - 1

M1 - 013064

ER -

Steady-state distributions of nascent RNA for general initiation mechanisms

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Modelling the fits and starts of how genes burst into expression

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