Evidence map›Paper›PMID 27976707›Full record

ArticleScientific reports2016

A pathway-centric view of spatial proximity in the 3D nucleome across cell lines.

Hiren Karathia, Carl Kingsford, Michelle Girvan, Sridhar Hannenhalli

Abstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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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

5 citing papers in PubMed.

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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.

Hiren KarathiaCenter for Bioinformatics and Computational Biology, University of Maryland, College Park, MD, USA.
Carl KingsfordComputational Biology Department, Carnegie Mellon University, Pittsburgh, PA, USA.
Michelle GirvanDepartment of Physics, University of Maryland, College Park, MD, USA.
Sridhar HannenhalliCenter for Bioinformatics and Computational Biology, University of Maryland, College Park, MD, USA.

Funding

Algorithms for Managing Uncertainty in Chromosome Conformation Capture DataR01HG007104 · NHGRI · CARNEGIE-MELLON UNIVERSITY · PI KINGSFORD, CARLETON LEE · 2013 to 2015
$1.3M
Conundrums in Transcriptional RegulationR01GM100335 · NIGMS · UNIV OF MARYLAND, COLLEGE PARK · PI HANNENHALLI, SRIDHAR · 2012 to 2015
$1.2M
NHGRI NIH HHS R01 HG007104NIGMS NIH HHS R01 GM100335
6 · The paper itself

Abstract

In various contexts, spatially proximal genes have been shown to be functionally related. However, the extent to which spatial proximity of genes in a pathway contributes to the pathway's context-specific activity is not known. Leveraging Hi-C data in six human cell-lines, we show that spatial proximity of genes in a pathway is highly correlated with the pathway's context-specific expression and function. Furthermore, spatial proximity of pathway genes correlates with interactions of their protein products, and the specific pathway genes that are proximal to one another tend to occupy higher levels in the regulatory hierarchy. In addition to intra-pathway proximity, related pathways are spatially proximal to one another and housekeeping-genes tend to be proximal to several other pathways suggesting their coordinating role. Substantially extending previous works, our study reveals a pathway-centric organization of 3D-nucleome, whereby, functionally related interacting driver genes tend to be in spatial-proximity in a context-specific manner.

Indexed as

Gene Regulatory NetworksCell LineChromatinChromosomesComputational BiologyDatabases, GeneticEmbryonic Stem CellsEpistasis, GeneticGene Expression ProfilingGenome, HumanHEK293 CellsHumansModels, GeneticProtein Interaction MappingSignal TransductionSoftwareChromatin

Identifiers

PMID27976707
PMCPMC5157015

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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.