Evidence map›Paper›PMID 16169925›Full record

ArticleGenome research2005

De novo discovery of a tissue-specific gene regulatory module in a chordate.

David S Johnson, Qing Zhou, Kasumi Yagi, Nori Satoh, Wing Wong, Arend Sidow

Open access · bronzeAbstract read
In one paragraph

Article in Genome research, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed, 34 citations in OpenAlex.

  1. NeuronMotif: Deciphering cis-regulatory codes by layer-wise demixing of deep neural networks.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  2. regCNN: identifyingComputational and structural biotechnology journal · 2022
    Article
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  10. Markov chain-based promoter structure modeling for tissue-specific expression pattern prediction.DNA research : an international journal for rapid publication of reports on genes and genomes · 2008
    Article
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  15. Article
  16. Article
  17. Review
  18. Identifying transcriptional cis-regulatory modules in animal genomes.Wiley interdisciplinary reviews. Developmental biology
    Review
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

6 authors at 3 institutions in 3 countries.

David S JohnsonDepartment of Pathology, Stanford University Medical Center, Stanford, California 94305-5324, USA.
Qing Zhou
Kasumi Yagi
Nori Satoh
Wing Wong
Arend Sidow
Kyoto University · JPStanford Medicine · USStanford University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We engage the experimental and computational challenges of de novo regulatory module discovery in a complex and largely unstudied metazoan genome. Our analysis is based on the comprehensive characterization of regulatory elements of 20 muscle genes in the chordate, Ciona savignyi. Three independent types of data we generate contribute to the characterization of a muscle-specific regulatory module: (1) Positive elements (PEs), short sequences sufficient for strong muscle expression that are identified in a high-resolution in vivo analysis; (2) CisModules (CMs), candidate regulatory modules defined by clusters of overrepresented motifs predicted de novo; and (3) Conserved elements (CEs), short noncoding sequences of strong conservation between C. savignyi and C. intestinalis. We estimate the accuracy of the computational predictions by an analysis of the intersection of these data. As final biological validation of the discovered muscle regulatory module, we implement a novel algorithm to search the genome for instances of the module and identify seven novel enhancers.

Indexed as

Genes, RegulatorAnimalsChordataElectroporationGenomeMusclesSensitivity and SpecificitySpecies Specificity

Identifiers

PMID16169925
PMCPMC1240073
OpenAlexW2147402421

What OpenQuestion holds

Textmetadata
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.