Evidence map›Paper›PMID 25333780›Full record

ArticlePloS one2014

An integrated model of transcription factor diffusion shows the importance of intersegmental transfer and quaternary protein structure for target site finding.

Hugo G Schmidt, Sven Sewitz, Steven S Andrews, Karen Lipkow

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

16 citing papers in PubMed, 35 citations in OpenAlex.

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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 3 institutions in 2 countries.

Hugo G SchmidtDepartment of Biochemistry & Cambridge Systems Biology Centre, University of Cambridge, Cambridge, United Kingdom.
Sven SewitzDepartment of Biochemistry & Cambridge Systems Biology Centre, University of Cambridge, Cambridge, United Kingdom; Nuclear Dynamics Programme, The Babraham Institute, Cambridge, United Kingdom.
Steven S AndrewsFred Hutchinson Cancer Research Center, Seattle, Washington, United States of America.
Karen LipkowDepartment of Biochemistry & Cambridge Systems Biology Centre, University of Cambridge, Cambridge, United Kingdom; Nuclear Dynamics Programme, The Babraham Institute, Cambridge, United Kingdom.
University of Cambridge · GBBabraham Institute · GBFred Hutch Cancer Center · US

Funding

Systems biology of signal control in yeastR01GM086615 · NIGMS · VTT/MSI MOLECULAR SCIENCES INSTITUTE · PI BRENT, ROGER, YU, RICHARD C. · 2009 to 2012
$2.3M
Biotechnology and Biological Sciences Research CouncilNIGMS NIH HHS R01 GM086615NIGMS NIH HHS R01GM086615-01
6 · The paper itself

Abstract

We present a computational model of transcription factor motion that explains both the observed rapid target finding of transcription factors, and how this motion influences protein and genome structure. Using the Smoldyn software, we modelled transcription factor motion arising from a combination of unrestricted 3D diffusion in the nucleoplasm, sliding along the DNA filament, and transferring directly between filament sections by intersegmental transfer. This presents a fine-grain picture of the way in which transcription factors find their targets two orders of magnitude faster than 3D diffusion alone allows. Eukaryotic genomes contain sections of nucleosome free regions (NFRs) around the promoters; our model shows that the presence and size of these NFRs can be explained as their acting as antennas on which transcription factors slide to reach their targets. Additionally, our model shows that intersegmental transfer may have shaped the quaternary structure of transcription factors: sequence specific DNA binding proteins are unusually enriched in dimers and tetramers, perhaps because these allow intersegmental transfer, which accelerates target site finding. Finally, our model shows that a 'hopping' motion can emerge from 3D diffusion on small scales. This explains the apparently long sliding lengths that have been observed for some DNA binding proteins observed in vitro. Together, these results suggest that transcription factor diffusion dynamics help drive the evolution of protein and genome structure.

Indexed as

Models, MolecularDiffusionDNAProtein BindingProtein Structure, QuaternarySoftwareTranscription FactorsDNATranscription Factors

Identifiers

PMID25333780
PMCPMC4204827
OpenAlexW2084451754

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.