Evidence map›Paper›PMID 25866248›Full record

ArticleMolecular cell2015

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

Olivia Padovan-Merhar, Gautham P Nair, Andrew G Biaesch, Andreas Mayer, Steven Scarfone, Shawn W Foley, Angela R Wu, L Stirling Churchman, Abhyudai Singh, Arjun Raj

Abstract read
In one paragraph

Article in Molecular cell, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 268 papers.

0numbers the graph read from it
0cells of the map it votes in
268citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

268 citing papers in PubMed.

  1. Article
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  10. A unified photosensitizer platform forbioRxiv : the preprint server for biology · 2026
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208 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Olivia Padovan-MerharDepartment of Physics and Astronomy, University of Pennsylvania, Philadelphia, PA 19104, USA.
Gautham P NairDepartment of Bioengineering, University of Pennsylvania, Philadelphia, PA 19104, USA.
Andrew G BiaeschDepartment of Bioengineering, University of Pennsylvania, Philadelphia, PA 19104, USA.
Andreas MayerDepartment of Genetics, Harvard Medical School, Boston, MA 02115, USA.
Steven ScarfoneDepartment of Physics and Astronomy, University of Pennsylvania, Philadelphia, PA 19104, USA.
Shawn W FoleyPerelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
Angela R WuDepartment of Bioengineering, Stanford University, Stanford, CA 94305, USA.
L Stirling ChurchmanDepartment of Genetics, Harvard Medical School, Boston, MA 02115, USA.
Abhyudai SinghDepartment of Electrical and Computer Engineering, University of Delaware, Newark, DE 19716, USA.
Arjun RajDepartment of Bioengineering, University of Pennsylvania, Philadelphia, PA 19104, USA. Electronic address: rajlaboratory@gmail.com.

Funding

Mechanisms of Transcriptional Control Revealed by Nascent Transcript SequencingR01HG007173 · NHGRI · HARVARD MEDICAL SCHOOL · PI Lee Stirling Churchman · 2013 to 2026
$6.7M
A Comprehensive Spatial Picture of Transcription in the NucleusDP2OD008514 · OD · UNIVERSITY OF PENNSYLVANIA · PI RAJ, ARJUN · 2011 to 2011
$2.4M
Howard Hughes Medical InstituteNHGRI NIH HHS R01 HG007173NHGRI NIH HHS R01HG007173NIH HHS 1DP2OD008514NIH HHS DP2 OD008514
6 · The paper itself

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.

Indexed as

Gene DosageTranscription, GeneticAnimalsCaenorhabditis elegansCells, CulturedFibroblastsForeskinGene ExpressionHumansIn Situ Hybridization, FluorescenceMaleMolecular Sequence DataSequence Analysis, RNASingle-Cell AnalysisS Phase

Identifiers

PMID25866248
PMCPMC4402149

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.