Evidence map›Paper›PMID 19284633›Full record

ArticleGenome biology2009

TFCat: the curated catalog of mouse and human transcription factors.

Debra L Fulton, Saravanan Sundararajan, Gwenael Badis, Timothy R Hughes, Wyeth W Wasserman, Jared C Roach, Rob Sladek

Abstract read
In one paragraph

Article in Genome biology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 121 papers.

0numbers the graph read from it
0cells of the map it votes in
121citing 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

121 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Transcriptome Complexity Disentangled: A Regulatory Molecules Approach.International journal of molecular sciences · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Differential Gene Expression followingInternational journal of molecular sciences · 2024
    Article
  13. Article
  14. Article
  15. Review
  16. PacBio Full-Length Transcriptome of a TetraploidAnimals : an open access journal from MDPI · 2023
    Article
  17. Identification of the novel FOXP3-dependent TFrontiers in immunology · 2023
    Article
  18. Review
  19. Article
  20. Article

61 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

7 authors.

Debra L FultonDepartment of Medical Genetics, Centre for Molecular Medicine and Therapeutics, Child and Family Research Institute, University of British Columbia, Vancouver, Canada. debra@cmmt.ubc.ca
Saravanan Sundararajan
Gwenael Badis
Timothy R Hughes
Wyeth W Wasserman
Jared C Roach
Rob Sladek

Funding

CIHR 69153CIHR 82875
6 · The paper itself

Abstract

Unravelling regulatory programs governed by transcription factors (TFs) is fundamental to understanding biological systems. TFCat is a catalog of mouse and human TFs based on a reliable core collection of annotations obtained by expert review of the scientific literature. The collection, including proven and homology-based candidate TFs, is annotated within a function-based taxonomy and DNA-binding proteins are organized within a classification system. All data and user-feedback mechanisms are available at the TFCat portal (http://www.tfcat.ca).

Indexed as

Databases, ProteinAnimalsDNAHumansMiceProtein BindingSequence Homology, Amino AcidTranscription FactorsDNATranscription Factors

Identifiers

PMID19284633
PMCPMC2691000

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.