Evidence map›Paper›PMID 21520242›Full record

ArticleJournal of cellular biochemistry2011

Chromatin interaction networks and higher order architectures of eukaryotic genomes.

Kuljeet Singh Sandhu, Guoliang Li, Wing-Kin Sung, Yijun Ruan

Abstract read
In one paragraph

Article in Journal of cellular biochemistry, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Down syndrome: the brain in trisomic mode.Nature reviews. Neuroscience · 2012
    Review
  6. 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

4 authors.

Kuljeet Singh SandhuGenome Institute of Singapore, Singapore.
Guoliang Li
Wing-Kin Sung
Yijun Ruan

Funding

Comprehensive Characterization and Classification of the Human TranscriptomeU54HG004557 · NHGRI · COLD SPRING HARBOR LABORATORY · PI GINGERAS, THOMAS RAYMOND · 2007 to 2011
$14.5M
Whole Genome Chromatin Interaction Analysis using Pair-End-diTagging (CIA-PET)R01HG004456 · NHGRI · GENOME INSTITUTE OF SINGAPORE · PI RUAN, YIJUN · 2007 to 2010
$1.3M
NHGRI NIH HHS R01 HG004456NHGRI NIH HHS R01HG004456-01NHGRI NIH HHS U54 HG004557NHGRI NIH HHS U54 HG004557-01
6 · The paper itself

Abstract

Eukaryotic genome is, not only linearly but also spatially, organized into non-random architecture. Though the linear organization of genes and their epigenetic descriptors are well characterized, the relevance of their spatial organization is beginning to unfold only recently. It is increasingly being recognized that physical interactions among distant genomic elements could serve as an important mean to eukaryotic genome regulation. With the advent of proximity ligation based techniques coupled with next generation sequencing, it is now possible to explore whole genome chromatin interactions at high resolution. Emerging data on genome-wide chromatin interactions suggest that distantly located genes are not independent entities and instead cross-talk with each other in an extensive manner, supporting the notion of "chromatin interaction networks". Moreover, the data also advance the field to "3-dimensional (3D) chromatin structure and dynamics", which would enable molecular biologists to explore the spatiotemporal regulation of genome. In this article, we introduce a stepwise topological transformation of genome from 1-dimension (1D, linear) to 2-dimension (2D, networks) to 3-dimension (3D, architecture) and discuss how such transformations could advance our understanding of genome biology.

Indexed as

Epigenesis, GeneticGenomeMolecular ConformationAnimalsChromatinEpigenomicsGene Regulatory NetworksHumansChromatin

Identifiers

PMID21520242
PMCPMC5537743

What OpenQuestion holds

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Registered trials

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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.