Integrating analog and digital modes of gene expression at

A. thaliana FLC Single molecule RNA FISH chromosomes computational biology gene expression mathematical modeling quantitative gene expression systems biology

Journal

eLife
ISSN: 2050-084X
Titre abrégé: Elife
Pays: England
ID NLM: 101579614

Informations de publication

Date de publication:
19 07 2023
Historique:
received: 25 04 2022
accepted: 25 06 2023
medline: 21 7 2023
pubmed: 19 7 2023
entrez: 19 7 2023
Statut: epublish

Résumé

Quantitative gene regulation at the cell population level can be achieved by two fundamentally different modes of regulation at individual gene copies. A 'digital' mode involves binary ON/OFF expression states, with population-level variation arising from the proportion of gene copies in each state, while an 'analog' mode involves graded expression levels at each gene copy. At the

Identifiants

pubmed: 37466633
doi: 10.7554/eLife.79743
pii: 79743
pmc: PMC10356135
doi:
pii:

Substances chimiques

Arabidopsis Proteins 0
MADS Domain Proteins 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Biotechnology and Biological Sciences Research Council
ID : BB/P020380/1
Pays : United Kingdom
Organisme : Biotechnology and Biological Sciences Research Council
ID : BB/P013511/1
Pays : United Kingdom

Informations de copyright

© 2023, Antoniou-Kourounioti, Meschichi, Reeck et al.

Déclaration de conflit d'intérêts

RA, AM, SR, SB, GM, YZ, JF, TH, LZ, HW, MH, CD, SR, MH No competing interests declared

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Auteurs

Rea L Antoniou-Kourounioti (RL)

Department of Computational and Systems Biology, John Innes Centre, Norwich, United Kingdom.
School of Molecular Biosciences, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom.

Anis Meschichi (A)

Swedish University of Agricultural Sciences, Plant Biology Department, Uppsala, Sweden.

Svenja Reeck (S)

Department of Cell and Developmental Biology, John Innes Centre, Norwich, United Kingdom.

Scott Berry (S)

EMBL Australia Node in Single Molecule Science, School of Medical Sciences, University of New South Wales, Sydney, Australia.

Govind Menon (G)

Department of Computational and Systems Biology, John Innes Centre, Norwich, United Kingdom.

Yusheng Zhao (Y)

State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China.

John Fozard (J)

Department of Computational and Systems Biology, John Innes Centre, Norwich, United Kingdom.

Terri Holmes (T)

Faculty of Medicine and Health Sciences, Norwich Medical School, University of East Anglia, Norwich, United Kingdom.

Lihua Zhao (L)

Swedish University of Agricultural Sciences, Plant Biology Department, Uppsala, Sweden.

Huamei Wang (H)

College of Life Sciences, Wuhan University, Wuhan, China.

Matthew Hartley (M)

European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Cambridge, United Kingdom.

Caroline Dean (C)

Department of Cell and Developmental Biology, John Innes Centre, Norwich, United Kingdom.

Stefanie Rosa (S)

Swedish University of Agricultural Sciences, Plant Biology Department, Uppsala, Sweden.

Martin Howard (M)

Department of Computational and Systems Biology, John Innes Centre, Norwich, United Kingdom.

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Classifications MeSH