Evidence map›Paper›PMID 24739179›Full record

ArticleBiophysical journal2014

Macromolecular crowding as a regulator of gene transcription.

Hiroaki Matsuda, Gregory Garbès Putzel, Vadim Backman, Igal Szleifer

Open access · bronzeAbstract read
In one paragraph

Article in Biophysical journal, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
3.4field-weighted citation impact, top 7% of its field
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

41 citing papers in PubMed, 90 citations in OpenAlex.

  1. Chromatin Packing Domain Engineering Through the Manipulation of Nuclear Cationic States.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  2. Article
  3. Leveraging chromatin packing domains to target chemoevasion in vivo.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  4. Article
  5. Chromatin Organization Governs Transcriptional Response and Plasticity of Cancer Stem Cells.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  6. Article
  7. Article
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  10. Review
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  12. Surfactancy in a tadpole model of proteins.Journal of the Royal Society, Interface · 2022
    Article
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  18. Review
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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

4 authors at 1 institution in 1 country.

Hiroaki MatsudaDepartment of Biomedical Engineering and Chemistry of Life Processes Institute, Northwestern University, Evanston, Illinois.
Gregory Garbès PutzelDepartment of Biomedical Engineering and Chemistry of Life Processes Institute, Northwestern University, Evanston, Illinois.
Vadim BackmanDepartment of Biomedical Engineering and Chemistry of Life Processes Institute, Northwestern University, Evanston, Illinois.
Igal SzleiferDepartment of Biomedical Engineering and Chemistry of Life Processes Institute, Northwestern University, Evanston, Illinois; Department of Chemistry, Northwestern University, Evanston, Illinois. Electronic address: igalsz@northwestern.edu.
Northwestern University · US

Funding

Tumor Environment and Metastasis (TEAM) Research ProgramP30CA060553 · NCI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Daniela E Matei · 1993 to 2026
$153.9M
NCI NIH HHS P30 CA060553
6 · The paper itself

Abstract

Studies of macromolecular crowding have shown its important effects on molecular transport and interactions in living cells. Less clear is the effect of crowding when its influence is incorporated into a complex network of interactions. Here, we explore the effects of crowding in the cell nucleus on a model of gene transcription as a network of reactions involving transcription factors, RNA polymerases, and DNA binding sites for these proteins. The novelty of our approach is that we determine the effects of crowding on the rates of these reactions using Brownian dynamics and Monte Carlo simulations, allowing us to integrate molecular-scale information, such as the shapes and sizes of each molecular species, into the rate equations of the model. The steady-state cytoplasmic mRNA concentration shows several regimes with qualitatively different dependences on the volume fraction, ϕ, of crowding agents in the nucleus, including a broad range of parameter values where it depends nonmonotonically on ϕ, with maximum mRNA production occurring at a physiologically relevant value. The extent of this crowding dependence can be modulated by a variety of means, suggesting that the transcriptional output of a gene can be regulated jointly by the local level of macromolecular crowding in the nucleus, together with the local concentrations of polymerases and DNA-binding proteins, as well as other properties of the gene's physical environment.

Indexed as

Gene Expression RegulationTranscription, GeneticComputer SimulationDNA-Binding ProteinsKineticsMacromolecular SubstancesModels, MolecularRNA, MessengerTranscription FactorsDNA-Binding ProteinsMacromolecular SubstancesRNA, MessengerTranscription Factors

Identifiers

PMID24739179
PMCPMC4008821
OpenAlexW1992219948

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.