Literature DB >> 25866248

Single mammalian cells compensate for differences in cellular volume and DNA copy number through independent global transcriptional mechanisms.

Olivia Padovan-Merhar1, Gautham P Nair2, Andrew G Biaesch2, Andreas Mayer3, Steven Scarfone1, Shawn W Foley4, Angela R Wu5, L Stirling Churchman3, Abhyudai Singh6, Arjun Raj7.   

Abstract

Individual mammalian cells exhibit large variability in cellular volume, even with the same absolute DNA content, and so must compensate for differences in DNA concentration in order to maintain constant concentration of gene expression products. Using single-molecule counting and computational image analysis, we show that transcript abundance correlates with cellular volume at the single-cell level due to increased global transcription in larger cells. Cell fusion experiments establish that increased cellular content itself can directly increase transcription. Quantitative analysis shows that this mechanism measures the ratio of cellular volume to DNA content, most likely through sequestration of a transcriptional factor to DNA. Analysis of transcriptional bursts reveals a separate mechanism for gene dosage compensation after DNA replication that enables proper transcriptional output during early and late S phase. Our results provide a framework for quantitatively understanding the relationships among DNA content, cell size, and gene expression variability in single cells.
Copyright © 2015 Elsevier Inc. All rights reserved.

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Year:  2015        PMID: 25866248      PMCID: PMC4402149          DOI: 10.1016/j.molcel.2015.03.005

Source DB:  PubMed          Journal:  Mol Cell        ISSN: 1097-2765            Impact factor:   17.970


  62 in total

1.  Nuclear lamin-A scales with tissue stiffness and enhances matrix-directed differentiation.

Authors:  Joe Swift; Irena L Ivanovska; Amnon Buxboim; Takamasa Harada; P C Dave P Dingal; Joel Pinter; J David Pajerowski; Kyle R Spinler; Jae-Won Shin; Manorama Tewari; Florian Rehfeldt; David W Speicher; Dennis E Discher
Journal:  Science       Date:  2013-08-30       Impact factor: 47.728

2.  Physical isolation of nascent RNA chains transcribed by RNA polymerase II: evidence for cotranscriptional splicing.

Authors:  J Wuarin; U Schibler
Journal:  Mol Cell Biol       Date:  1994-11       Impact factor: 4.272

3.  Transcriptional amplification in tumor cells with elevated c-Myc.

Authors:  Charles Y Lin; Jakob Lovén; Peter B Rahl; Ronald M Paranal; Christopher B Burge; James E Bradner; Tong Ihn Lee; Richard A Young
Journal:  Cell       Date:  2012-09-28       Impact factor: 41.582

Review 4.  Nature, nurture, or chance: stochastic gene expression and its consequences.

Authors:  Arjun Raj; Alexander van Oudenaarden
Journal:  Cell       Date:  2008-10-17       Impact factor: 41.582

5.  A general lack of compensation for gene dosage in yeast.

Authors:  Michael Springer; Jonathan S Weissman; Marc W Kirschner
Journal:  Mol Syst Biol       Date:  2010-05-11       Impact factor: 11.429

6.  Single-RNA counting reveals alternative modes of gene expression in yeast.

Authors:  Daniel Zenklusen; Daniel R Larson; Robert H Singer
Journal:  Nat Struct Mol Biol       Date:  2008-11-16       Impact factor: 15.369

7.  Mutants carrying two sma mutations are super small in the nematode C. elegans.

Authors:  Naoharu Watanabe; Takeshi Ishihara; Yasumi Ohshima
Journal:  Genes Cells       Date:  2007-05       Impact factor: 1.891

Review 8.  Single-molecule approaches to stochastic gene expression.

Authors:  Arjun Raj; Alexander van Oudenaarden
Journal:  Annu Rev Biophys       Date:  2009       Impact factor: 12.981

9.  Genome-wide determination of RNA stability reveals hundreds of short-lived noncoding transcripts in mammals.

Authors:  Hidenori Tani; Rena Mizutani; Kazi Abdus Salam; Keiko Tano; Kenichi Ijiri; Ai Wakamatsu; Takao Isogai; Yutaka Suzuki; Nobuyoshi Akimitsu
Journal:  Genome Res       Date:  2012-02-27       Impact factor: 9.043

10.  Identification of transcriptional and metabolic programs related to mammalian cell size.

Authors:  Teemu P Miettinen; Heli K J Pessa; Matias J Caldez; Tobias Fuhrer; M Kasim Diril; Uwe Sauer; Philipp Kaldis; Mikael Björklund
Journal:  Curr Biol       Date:  2014-03-06       Impact factor: 10.834

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  160 in total

Review 1.  MYC: connecting selective transcriptional control to global RNA production.

Authors:  Theresia R Kress; Arianna Sabò; Bruno Amati
Journal:  Nat Rev Cancer       Date:  2015-09-18       Impact factor: 60.716

2.  Quantitative spatial analysis of transcripts in multinucleate cells using single-molecule FISH.

Authors:  ChangHwan Lee; Samantha E Roberts; Amy S Gladfelter
Journal:  Methods       Date:  2015-12-12       Impact factor: 3.608

3.  Effects of cell cycle variability on lineage and population measurements of messenger RNA abundance.

Authors:  Ruben Perez-Carrasco; Casper Beentjes; Ramon Grima
Journal:  J R Soc Interface       Date:  2020-07-08       Impact factor: 4.118

4.  Memory Sequencing Reveals Heritable Single-Cell Gene Expression Programs Associated with Distinct Cellular Behaviors.

Authors:  Sydney M Shaffer; Benjamin L Emert; Raúl A Reyes Hueros; Christopher Cote; Guillaume Harmange; Dylan L Schaff; Ann E Sizemore; Rohit Gupte; Eduardo Torre; Abhyudai Singh; Danielle S Bassett; Arjun Raj
Journal:  Cell       Date:  2020-07-30       Impact factor: 41.582

Review 5.  On the Molecular Mechanisms Regulating Animal Cell Size Homeostasis.

Authors:  Evgeny Zatulovskiy; Jan M Skotheim
Journal:  Trends Genet       Date:  2020-02-20       Impact factor: 11.639

6.  DNA methylation in the gene body influences MeCP2-mediated gene repression.

Authors:  Benyam Kinde; Dennis Y Wu; Michael E Greenberg; Harrison W Gabel
Journal:  Proc Natl Acad Sci U S A       Date:  2016-12-13       Impact factor: 11.205

7.  Fold-Change Detection of NF-κB at Target Genes with Different Transcript Outputs.

Authors:  Victor C Wong; Shibin Mathew; Ramesh Ramji; Suzanne Gaudet; Kathryn Miller-Jensen
Journal:  Biophys J       Date:  2019-01-12       Impact factor: 4.033

8.  Ploidy and Size at Multiple Scales in the Arabidopsis Sepal.

Authors:  Dana O Robinson; Jeremy E Coate; Abhyudai Singh; Lilan Hong; Max Bush; Jeff J Doyle; Adrienne H K Roeder
Journal:  Plant Cell       Date:  2018-08-24       Impact factor: 11.277

9.  A field guide for the compositional analysis of any-omics data.

Authors:  Thomas P Quinn; Ionas Erb; Greg Gloor; Cedric Notredame; Mark F Richardson; Tamsyn M Crowley
Journal:  Gigascience       Date:  2019-09-01       Impact factor: 6.524

Review 10.  The Biosynthetic Basis of Cell Size Control.

Authors:  Kurt M Schmoller; Jan M Skotheim
Journal:  Trends Cell Biol       Date:  2015-11-10       Impact factor: 20.808

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