Evidence map›Paper›PMID 21907276›Full record

ArticleGenomics2011

Distant cis-regulatory elements in human skeletal muscle differentiation.

Rachel Patton McCord, Vicky W Zhou, Tiffany Yuh, Martha L Bulyk

Abstract read
In one paragraph

Article in Genomics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.7field-weighted citation impact, top 31% 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

9 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. 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 at 1 institution in 1 country.

Rachel Patton McCordDivision of Genetics, Department of Medicine, Brigham & Women's Hospital and Harvard Medical School, Boston, MA 02115, USA.
Vicky W Zhou
Tiffany Yuh
Martha L Bulyk
Brigham and Women's Hospital · US

Funding

Physical and Functional Interactions of Cis Regulatory ModulesR21HG005149 · NHGRI · BRIGHAM AND WOMEN'S HOSPITAL · PI BULYK, MARTHA L · 2009 to 2010
$489k
NHGRI NIH HHS R21 HG005149
6 · The paper itself

Abstract

Identifying gene regulatory elements and their target genes in human cells remains a significant challenge. Despite increasing evidence of physical interactions between distant regulatory elements and gene promoters in mammalian cells, many studies consider only promoter-proximal regulatory regions. We identify putative cis-regulatory modules (CRMs) in human skeletal muscle differentiation by combining myogenic TF binding data before and after differentiation with histone modification data in myoblasts. CRMs that are distant (>20 kb) from muscle gene promoters are common and are more likely than proximal promoter regions to show differentiation-specific changes in myogenic TF binding. We find that two of these distant CRMs, known to activate transcription in differentiating myoblasts, interact physically with gene promoters (PDLIM3 and ACTA1) during differentiation. Our results highlight the importance of considering distal CRMs in investigations of mammalian gene regulation and support the hypothesis that distant CRM-promoter looping contacts are a general mechanism of gene regulation.

Indexed as

Enhancer Elements, GeneticAlgorithmsCell DifferentiationCells, CulturedGene Expression RegulationHumansLIM Domain ProteinsMicrofilament ProteinsMicroRNAsMuscle, SkeletalMyoblasts, Smooth MusclePromoter Regions, GeneticProtein BindingSequence Analysis, DNATranscription FactorsLIM Domain ProteinsMicrofilament ProteinsMicroRNAsPDLIM3 protein, humanTranscription Factors

Identifiers

PMID21907276
PMCPMC3229301
OpenAlexW2088627387

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.