Evidence map›Paper›PMID 26030148›Full record

ArticlePLoS computational biology2015

Differential chromosome conformations as hallmarks of cellular identity revealed by mathematical polymer modeling.

Imen Lassadi, Alain Kamgoué, Isabelle Goiffon, Nicolas Tanguy-le-Gac, Kerstin Bystricky

Abstract read
In one paragraph

Article in PLoS computational biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
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  5. Review
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  9. Zooming in on chromosome dynamics.Cell cycle (Georgetown, Tex.) · 2020
    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

5 authors.

Imen LassadiUniversity of Toulouse, UPS, Toulouse, France; Laboratoire de Biologie Moléculaire Eucaryote, CNRS, LBME, Toulouse, France.
Alain KamgouéUniversity of Toulouse, UPS, Toulouse, France; Laboratoire de Biologie Moléculaire Eucaryote, CNRS, LBME, Toulouse, France.
Isabelle GoiffonUniversity of Toulouse, UPS, Toulouse, France; Laboratoire de Biologie Moléculaire Eucaryote, CNRS, LBME, Toulouse, France.
Nicolas Tanguy-le-GacUniversity of Toulouse, UPS, Toulouse, France; Laboratoire de Biologie Moléculaire Eucaryote, CNRS, LBME, Toulouse, France.
Kerstin BystrickyUniversity of Toulouse, UPS, Toulouse, France; Laboratoire de Biologie Moléculaire Eucaryote, CNRS, LBME, Toulouse, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Inherently dynamic, chromosomes adopt many different conformations in response to DNA metabolism. Models of chromosome organization in the yeast nucleus obtained from genome-wide chromosome conformation data or biophysical simulations provide important insights into the average behavior but fail to reveal features from dynamic or transient events that are only visible in a fraction of cells at any given moment. We developed a method to determine chromosome conformation from relative positions of three fluorescently tagged DNA in living cells imaged in 3D. Cell type specific chromosome folding properties could be assigned based on positional combinations between three loci on yeast chromosome 3. We determined that the shorter left arm of chromosome 3 is extended in MATα cells, but can be crumpled in MATa cells. Furthermore, we implemented a new mathematical model that provides for the first time an estimate of the relative physical constraint of three linked loci related to cellular identity. Variations in this estimate allowed us to predict functional consequences from chromatin structural alterations in asf1 and recombination enhancer deletion mutant cells. The computational method is applicable to identify and characterize dynamic chromosome conformations in any cell type.

Indexed as

Models, GeneticChromosomes, FungalChromosome StructuresComputational BiologyComputer SimulationGenetic LociMolecular ConformationSaccharomyces cerevisiae

Identifiers

PMID26030148
PMCPMC4451008

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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.