Evidence map›Paper›PMID 22705667›Full record

ReviewNature reviews. Genetics2012

Genomic approaches towards finding cis-regulatory modules in animals.

Ross C Hardison, James Taylor

Abstract readReview
In one paragraph

Review in Nature reviews. Genetics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 133 papers.

0numbers the graph read from it
0cells of the map it votes in
133citing 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

133 citing papers in PubMed.

  1. A putativebioRxiv : the preprint server for biology · 2026
    Article
  2. UnlockingNAR genomics and bioinformatics · 2026
    Article
  3. NovelbioRxiv : the preprint server for biology · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Machine-guided design of synthetic cell type-specificbioRxiv : the preprint server for biology · 2023
    Article
  18. Article
  19. Article
  20. Article

73 more citing papers are in PubMed but not listed here.

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

2 authors.

Ross C HardisonDepartment of Biochemistry and Molecular Biology, Center for Comparative Genomics and Bioinformatics, 304 Wartik Laboratory, The Pennsylvania State University, University Park, Pennsylvania 16802, USA. rch8@psu.edu
James Taylor

Funding

EDAC: ENCODE Data Analysis CenterU01HG004695 · NHGRI · EUROPEAN MOLECULAR BIOLOGY LABORATORY · PI BIRNEY, EWAN · 2008 to 2012
$6.4M
Global Predictions and Tests of Erythroid RegulationR01DK065806 · NIDDK · PENNSYLVANIA STATE UNIVERSITY-UNIV PARK · PI BLOBEL, GERD A, CHIAROMONTE, FRANCESCA · 2004 to 2013
$5.3M
Enhance human ENCODE by function comparisons to mouseRC2HG005573 · NHGRI · PENNSYLVANIA STATE UNIVERSITY, THE · PI HARDISON, ROSS C · 2009 to 2011
$2.2M
NHGRI NIH HHS RC2 HG005573NHGRI NIH HHS U01 HG004695NHGRI NIH HHS U54 HG004695NIDDK NIH HHS R01 DK065806
6 · The paper itself

Abstract

Differential gene expression is the fundamental mechanism underlying animal development and cell differentiation. However, it is a challenge to identify comprehensively and accurately the DNA sequences that are required to regulate gene expression: namely, cis-regulatory modules (CRMs). Three major features, either singly or in combination, are used to predict CRMs: clusters of transcription factor binding site motifs, non-coding DNA that is under evolutionary constraint and biochemical marks associated with CRMs, such as histone modifications and protein occupancy. The validation rates for predictions indicate that identifying diagnostic biochemical marks is the most reliable method, and understanding is enhanced by the analysis of motifs and conservation patterns within those predicted CRMs.

Indexed as

AnimalsChromatin ImmunoprecipitationEpigenesis, GeneticGene Expression RegulationGenomicsHigh-Throughput Screening AssaysRegulatory Elements, Transcriptional

Identifiers

PMID22705667
PMCPMC3541939

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.