Evidence map›Paper›PMID 23049710›Full record

ArticlePloS one2012

Modeling and experimental methods to probe the link between global transcription and spatial organization of chromosomes.

K Venkatesan Iyer, Shovamayee Maharana, Soumya Gupta, Albert Libchaber, Tsvi Tlusty, G V Shivashankar

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.2field-weighted citation impact, top 23% 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

15 citing papers in PubMed, 31 citations in OpenAlex.

  1. Material-Induced Nuclear Deformation Controls Chromatin Architecture in Adipose Stem Cells.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  2. Astrocyte Enrichment of 3D Cortical Constructs Enhances Brain Repair.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
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  5. Network analysis identifies chromosome intermingling regions as regulatory hotspots for transcription.Proceedings of the National Academy of Sciences of the United States of America · 2017
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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

6 authors at 3 institutions in 4 countries.

K Venkatesan IyerNational Centre for Biological Sciences, Tata Institute for Fundamental Research, Bangalore, Karnataka, India.
Shovamayee Maharana
Soumya Gupta
Albert Libchaber
Tsvi Tlusty
G V Shivashankar
National Centre for Biological Sciences · INRockefeller University · USWeizmann Institute of Science · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genomes are spatially assembled into chromosome territories (CT) within the nucleus of living cells. Recent evidences have suggested associations between three-dimensional organization of CTs and the active gene clusters within neighboring CTs. These gene clusters are part of signaling networks sharing similar transcription factor or other downstream transcription machineries. Hence, presence of such gene clusters of active signaling networks in a cell type may regulate the spatial organization of chromosomes in the nucleus. However, given the probabilistic nature of chromosome positions and complex transcription factor networks (TFNs), quantitative methods to establish their correlation is lacking. In this paper, we use chromosome positions and gene expression profiles in interphase fibroblasts and describe methods to capture the correspondence between their spatial position and expression. In addition, numerical simulations designed to incorporate the interacting TFNs, reveal that the chromosome positions are also optimized for the activity of these networks. These methods were validated for specific chromosome pairs mapped in two distinct transcriptional states of T-Cells (naïve and activated). Taken together, our methods highlight the functional coupling between topology of chromosomes and their respective gene expression patterns.

Indexed as

Models, GeneticChromosome PositioningHumansIntranuclear SpaceMultigene FamilySignal TransductionT-LymphocytesTranscription, GeneticTranscriptome

Identifiers

PMID23049710
PMCPMC3462193
OpenAlexW1984490935

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.