Literature DB >> 32059768

Size-Dependent Increase in RNA Polymerase II Initiation Rates Mediates Gene Expression Scaling with Cell Size.

Xi-Ming Sun1, Anthony Bowman2, Miles Priestman3, Francois Bertaux3, Amalia Martinez-Segura1, Wenhao Tang2, Chad Whilding1, Dirk Dormann1, Vahid Shahrezaei4, Samuel Marguerat5.   

Abstract

Cell size varies during the cell cycle and in response to external stimuli. This requires the tight coordination, or "scaling," of mRNA and protein quantities with the cell volume in order to maintain biomolecule concentrations and cell density. Evidence in cell populations and single cells indicates that scaling relies on the coordination of mRNA transcription rates with cell size. Here, we use a combination of single-molecule fluorescence in situ hybridization (smFISH), time-lapse microscopy, and mathematical modeling in single fission yeast cells to uncover the precise molecular mechanisms that control transcription rates scaling with cell size. Linear scaling of mRNA quantities is apparent in single fission yeast cells during a normal cell cycle. Transcription of both constitutive and periodic genes is a Poisson process with transcription rates scaling with cell size and without evidence for transcriptional off states. Modeling and experimental data indicate that scaling relies on the coordination of RNA polymerase II (RNAPII) transcription initiation rates with cell size and that RNAPII is a limiting factor. We show using real-time quantitative imaging that size increase is accompanied by a rapid concentration-independent recruitment of RNAPII onto chromatin. Finally, we find that, in multinucleated cells, scaling is set at the level of single nuclei and not the entire cell, making the nucleus a determinant of scaling. Integrating our observations in a mechanistic model of RNAPII-mediated transcription, we propose that scaling of gene expression with cell size is the consequence of competition between genes for limiting RNAPII.
Copyright © 2020 The Authors. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  RNA polymerase II; approximate Bayesian computation; cell size; fission yeast; mathematical modeling; noise; nuclear size; scaling; transcription

Mesh:

Substances:

Year:  2020        PMID: 32059768     DOI: 10.1016/j.cub.2020.01.053

Source DB:  PubMed          Journal:  Curr Biol        ISSN: 0960-9822            Impact factor:   10.834


  16 in total

1.  Modeling bursty transcription and splicing with the chemical master equation.

Authors:  Gennady Gorin; Lior Pachter
Journal:  Biophys J       Date:  2022-02-07       Impact factor: 4.033

2.  Transcriptional and chromatin-based partitioning mechanisms uncouple protein scaling from cell size.

Authors:  Matthew P Swaffer; Jacob Kim; Devon Chandler-Brown; Maurice Langhinrichs; Georgi K Marinov; William J Greenleaf; Anshul Kundaje; Kurt M Schmoller; Jan M Skotheim
Journal:  Mol Cell       Date:  2021-11-02       Impact factor: 17.970

3.  Increasing cell size remodels the proteome and promotes senescence.

Authors:  Michael C Lanz; Evgeny Zatulovskiy; Matthew P Swaffer; Lichao Zhang; Ilayda Ilerten; Shuyuan Zhang; Dong Shin You; Georgi Marinov; Patrick McAlpine; Joshua E Elias; Jan M Skotheim
Journal:  Mol Cell       Date:  2022-08-19       Impact factor: 19.328

4.  Benchmarking imputation methods for network inference using a novel method of synthetic scRNA-seq data generation.

Authors:  Ayoub Lasri; Vahid Shahrezaei; Marc Sturrock
Journal:  BMC Bioinformatics       Date:  2022-06-17       Impact factor: 3.307

5.  Coordination of gene expression noise with cell size: analytical results for agent-based models of growing cell populations.

Authors:  Philipp Thomas; Vahid Shahrezaei
Journal:  J R Soc Interface       Date:  2021-05-26       Impact factor: 4.293

6.  The circadian oscillator analysed at the single-transcript level.

Authors:  Nicholas E Phillips; Alice Hugues; Jake Yeung; Eric Durandau; Damien Nicolas; Felix Naef
Journal:  Mol Syst Biol       Date:  2021-03       Impact factor: 11.429

Review 7.  Eukaryotic RNA Polymerases: The Many Ways to Transcribe a Gene.

Authors:  Marina Barba-Aliaga; Paula Alepuz; José E Pérez-Ortín
Journal:  Front Mol Biosci       Date:  2021-04-21

8.  Heterogeneous recruitment abilities to RNA polymerases generate nonlinear scaling of gene expression with cell volume.

Authors:  Qirun Wang; Jie Lin
Journal:  Nat Commun       Date:  2021-11-25       Impact factor: 14.919

9.  Transcription coordinates histone amounts and genome content.

Authors:  Kora-Lee Claude; Daniela Bureik; Dimitra Chatzitheodoridou; Petia Adarska; Abhyudai Singh; Kurt M Schmoller
Journal:  Nat Commun       Date:  2021-07-09       Impact factor: 14.919

10.  Characterizing non-exponential growth and bimodal cell size distributions in fission yeast: An analytical approach.

Authors:  Chen Jia; Abhyudai Singh; Ramon Grima
Journal:  PLoS Comput Biol       Date:  2022-01-18       Impact factor: 4.475

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.