Evidence map›Paper›PMID 22786849›Full record

ArticlePhysiological genomics2012

Transcriptomine, a web resource for nuclear receptor signaling transcriptomes.

Scott A Ochsner, Christopher M Watkins, Apollo McOwiti, Xueping Xu, Yolanda F Darlington, Michael D Dehart, Austin J Cooney, David L Steffen, Lauren B Becnel, Neil J McKenna

Abstract read
In one paragraph

Article in Physiological genomics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Bile acid regulation of xenobiotic nuclear receptors on the expressions of orosomucoids in the liver.American journal of physiology. Endocrinology and metabolism · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Improving the discoverability, accessibility, and citability of omics datasets: a case report.Journal of the American Medical Informatics Association : JAMIA · 2017
    Article
  11. Article
  12. Article
  13. Autocrine androgen action is essential for Leydig cell maturation and function, and protects against late-onset Leydig cell apoptosis in both mice and men.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2015
    Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

10 authors.

Scott A OchsnerDepartment of Molecular and Cellular Biology, Baylor College of Medicine, Houston, Texas 77030, USA.
Christopher M Watkins
Apollo McOwiti
Xueping Xu
Yolanda F Darlington
Michael D Dehart
Austin J Cooney
David L Steffen
Lauren B Becnel
Neil J McKenna

Funding

Tumor BiologyP30CA125123 · NCI · BAYLOR COLLEGE OF MEDICINE · PI DAVID R ROWLEY · 2007 to 2026
$73.9M
ProteomicsU19DK062434 · NIDDK · UNIVERSITY OF TEXAS SW MED CTR/DALLAS · PI MANGELSDORF, DAVID J · 2002 to 2011
$37.4M
NCI NIH HHS P30-CA-125123NIDDK NIH HHS U19DK-62434
6 · The paper itself

Abstract

The nuclear receptor (NR) superfamily of ligand-regulated transcription factors directs ligand- and tissue-specific transcriptomes in myriad developmental, metabolic, immunological, and reproductive processes. The NR signaling field has generated a wealth of genome-wide expression data points, but due to deficits in their accessibility, annotation, and integration, the full potential of these studies has not yet been realized. We searched public gene expression databases and MEDLINE for global transcriptomic datasets relevant to NRs, their ligands, and coregulators. We carried out extensive, deep reannotation of the datasets using controlled vocabularies for RNA Source and regulating molecule and resolved disparate gene identifiers to official gene symbols to facilitate comparison of fold changes and their significance across multiple datasets. We assembled these data points into a database, Transcriptomine (http://www.nursa.org/transcriptomine), that allows for multiple, menu-driven querying strategies of this transcriptomic "superdataset," including single and multiple genes, Gene Ontology terms, disease terms, and uploaded custom gene lists. Experimental variables such as regulating molecule, RNA Source, as well as fold-change and P value cutoff values can be modified, and full data records can be either browsed or downloaded for downstream analysis. We demonstrate the utility of Transcriptomine as a hypothesis generation and validation tool using in silico and experimental use cases. Our resource empowers users to instantly and routinely mine the collective biology of millions of previously disparate transcriptomic data points. By incorporating future transcriptome-wide datasets in the NR signaling field, we anticipate Transcriptomine developing into a powerful resource for the NR- and other signal transduction research communities.

Indexed as

Databases, GeneticInternetSoftwareAnimalsCell DifferentiationDNA PrimersEmbryonic Stem CellsHumansMiceRatsReal-Time Polymerase Chain ReactionReceptors, Cytoplasmic and NuclearSignal TransductionTranscriptomeDNA PrimersReceptors, Cytoplasmic and Nuclear

Identifiers

PMID22786849
PMCPMC3472459

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.