Evidence map›Paper›PMID 27893768›Full record

ArticlePLoS computational biology2016

Macromolecular Crowding Regulates the Gene Expression Profile by Limiting Diffusion.

Mahdi Golkaram, Stefan Hellander, Brian Drawert, Linda R Petzold

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 11% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 42 citations in OpenAlex.

  1. Pooled it
  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
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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.

Mahdi GolkaramDepartment of Mechanical Engineering, University of California, Santa Barbara, California, United States of America.
Stefan HellanderDepartment of Computer Science, University of California, Santa Barbara, California, United States of America.
Brian DrawertDepartment of Computer Science, University of California, Santa Barbara, California, United States of America.
Linda R PetzoldDepartment of Mechanical Engineering, University of California, Santa Barbara, California, United States of America.
University of California, Santa Barbara · US

Funding

StochSS: A Next-Generation Toolkit for Simulation-Driven Biological DiscoveryR01EB014877 · NIBIB · UNIVERSITY OF CALIFORNIA SANTA BARBARA · PI PETZOLD, LINDA R. · 2012 to 2022
$3.9M
Bridging the Gap Between Molecular and Mechanical Control of Cell MorphogenesisR01GM113241 · NIGMS · UNIVERSITY OF CALIFORNIA SANTA BARBARA · PI CAMPAS, OTGER · 2014 to 2018
$1.7M
NIBIB NIH HHS R01 EB014877NIGMS NIH HHS R01 GM113241
6 · The paper itself

Abstract

We seek to elucidate the role of macromolecular crowding in transcription and translation. It is well known that stochasticity in gene expression can lead to differential gene expression and heterogeneity in a cell population. Recent experimental observations by Tan et al. have improved our understanding of the functional role of macromolecular crowding. It can be inferred from their observations that macromolecular crowding can lead to robustness in gene expression, resulting in a more homogeneous cell population. We introduce a spatial stochastic model to provide insight into this process. Our results show that macromolecular crowding reduces noise (as measured by the kurtosis of the mRNA distribution) in a cell population by limiting the diffusion of transcription factors (i.e. removing the unstable intermediate states), and that crowding by large molecules reduces noise more efficiently than crowding by small molecules. Finally, our simulation results provide evidence that the local variation in chromatin density as well as the total volume exclusion of the chromatin in the nucleus can induce a homogenous cell population.

Indexed as

Macromolecular SubstancesModels, ChemicalAnimalsComputer SimulationDiffusionHumansMicroRNAsModels, GeneticModels, StatisticalProtein BiosynthesisStochastic ProcessesTranscriptional ActivationTranscription FactorsTranscriptomeMacromolecular SubstancesMicroRNAsTranscription Factors

Identifiers

PMID27893768
PMCPMC5125560
OpenAlexW2559001160

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.