Evidence map›Paper›PMID 23955281›Full record

ArticleBulletin of mathematical biology2013

The influence of spatial variation in chromatin density determined by X-ray tomograms on the time to find DNA binding sites.

Samuel A Isaacson, Carolyn A Larabell, Mark A Le Gros, David M McQueen, Charles S Peskin

Open access · greenAbstract read
In one paragraph

Article in Bulletin of mathematical biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

8 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Imaging and characterizing cells using tomography.Archives of biochemistry and biophysics · 2015
    Review
  6. Article
  7. The chromatin fiber: multiscale problems and approaches.Current opinion in structural biology · 2015
    Review
  8. Article
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

5 authors at 2 institutions in 1 country.

Samuel A IsaacsonDepartment of Mathematics and Statistics, Boston University, Boston, MA, USA, isaacson@math.bu.edu.
Carolyn A Larabell
Mark A Le Gros
David M McQueen
Charles S Peskin
Lawrence Berkeley National Laboratory · USNew York University · US

Funding

System Biology Center in New YorkP50GM071558 · NIGMS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI ZAPH, SUSANA NEVES · 2007 to 2017
$22.8M
VIRUS-INDUCED STRUCTURAL ALTERATIONS OF NUCLEUSP41RR019664 · NCRR · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LARABELL, CAROLYN A · 2004 to 2011
$8.2M
TrainingP41GM103445 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LARABELL, CAROLYN A · 2012 to 2019
$8.2M
NCRR NIH HHS 5P41 RR019664-08NCRR NIH HHS P41 RR019664NIGMS NIH HHS 8P41 GM103445-08NIGMS NIH HHS P41 GM103445NIGMS NIH HHS P50 GM071558NIGMS NIH HHS P50GM071558
6 · The paper itself

Abstract

In this work, we examine how volume exclusion caused by regions of high chromatin density might influence the time required for proteins to find specific DNA binding sites. The spatial variation of chromatin density within mouse olfactory sensory neurons is determined from soft X-ray tomography reconstructions of five nuclei. We show that there is a division of the nuclear space into regions of low-density euchromatin and high-density heterochromatin. Volume exclusion experienced by a diffusing protein caused by this varying density of chromatin is modeled by a repulsive potential. The value of the potential at a given point in space is chosen to be proportional to the density of chromatin at that location. The constant of proportionality, called the volume exclusivity, provides a model parameter that determines the strength of volume exclusion. Numerical simulations demonstrate that the mean time for a protein to locate a binding site localized in euchromatin is minimized for a finite, nonzero volume exclusivity. For binding sites in heterochromatin, the mean time is minimized when the volume exclusivity is zero (the protein experiences no volume exclusion). An analytical theory is developed to explain these results. The theory suggests that for binding sites in euchromatin there is an optimal level of volume exclusivity that balances a reduction in the volume searched in finding the binding site, with the height of effective potential barriers the protein must cross during the search process.

Indexed as

Models, BiologicalAnimalsBinding SitesCell NucleusChromatinDNAMathematical ConceptsMiceTomography, X-RayChromatinDNA

Identifiers

PMID23955281
PMCPMC3934756
OpenAlexW2080226108

What OpenQuestion holds

Textmetadata
LicenceTDM
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.