Evidence map›Paper›PMID 18311145›Full record

ArticleNature methods2008

Systematic identification of mammalian regulatory motifs' target genes and functions.

Jason B Warner, Anthony A Philippakis, Savina A Jaeger, Fangxue Sherry He, Jolinta Lin, Martha L Bulyk

Abstract read
In one paragraph

Article in Nature methods, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.

0numbers the graph read from it
0cells of the map it votes in
58citing 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

58 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Computational Biology Solutions to Identify Enhancers-target Gene Pairs.Computational and structural biotechnology journal · 2019
    Review
  6. Article
  7. Article
  8. Article
  9. The Journal of neuroscience : the official journal of the Society for Neuroscience · 2017
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Jason B WarnerDivision of Genetics, Department of Medicine, Harvard Medical School, Harvard Medical School New Research Building, Room 466D, 77 Ave. Louis Pasteur, Boston, Massachusetts 02115, USA.
Anthony A Philippakis
Savina A Jaeger
Fangxue Sherry He
Jolinta Lin
Martha L Bulyk

Funding

VASCULAR, PULMONARY AND RENAL INJURYT32HL007627 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI GIMBRONE, MICHAEL A, MITCHELL, RICHARD N · 1985 to 2019
$12.7M
Eukaryotic Transcription Factor Binding Site LocationsR01HG002966 · NHGRI · BRIGHAM AND WOMEN'S HOSPITAL · PI BULYK, MARTHA L · 2003 to 2007
$1.9M
In Vivo Transcription Factor Binding in Skeletal MuscleF32AR051287 · NIAMS · BRIGHAM AND WOMEN'S HOSPITAL · PI WARNER, JASON B · 2005 to 2006
$64k
NHGRI NIH HHS R01 HG002966NHLBI NIH HHS T32 HL007627NHLBI NIH HHS T32 HL07627NIAMS NIH HHS F32 AR051287
6 · The paper itself

Abstract

We developed an algorithm, Lever, that systematically maps metazoan DNA regulatory motifs or motif combinations to sets of genes. Lever assesses whether the motifs are enriched in cis-regulatory modules (CRMs), predicted by our PhylCRM algorithm, in the noncoding sequences surrounding the genes. Lever analysis allows unbiased inference of functional annotations to regulatory motifs and candidate CRMs. We used human myogenic differentiation as a model system to statistically assess greater than 25,000 pairings of gene sets and motifs or motif combinations. We assigned functional annotations to candidate regulatory motifs predicted previously and identified gene sets that are likely to be co-regulated via shared regulatory motifs. Lever allows moving beyond the identification of putative regulatory motifs in mammalian genomes, toward understanding their biological roles. This approach is general and can be applied readily to any cell type, gene expression pattern or organism of interest.

Indexed as

AlgorithmsAnimalsComputational BiologyDNAGenomeHumansMolecular Sequence DataRegulatory Elements, TranscriptionalRegulatory Sequences, Nucleic AcidSpecies SpecificityDNA

Identifiers

PMID18311145
PMCPMC2708972

What OpenQuestion holds

Textmetadata
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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.