Evidence map›Paper›PMID 27899583›Full record

ArticleNucleic acids research2017

XTalkDB: a database of signaling pathway crosstalk.

Sarah A Sam, Joelle Teel, Allison N Tegge, Aditya Bharadwaj, T M Murali

Abstract read
In one paragraph

Article in Nucleic acids research, 2017. 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.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Frontiers in veterinary science · 2022
    Article
  15. Article
  16. Article
  17. Frontiers in pharmacology · 2019
    Review
  18. Adverse outcome pathway networks II: Network analytics.Environmental toxicology and chemistry · 2018
    Article
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

5 authors.

Sarah A SamDepartment of Biological Sciences, Virginia Tech, Blacksburg, VA 24061, USA.
Joelle TeelDepartment of Biological Sciences, Virginia Tech, Blacksburg, VA 24061, USA.
Allison N TeggeDepartment of Computer Science, Virginia Tech, Blacksburg, VA 24061, USA.
Aditya BharadwajDepartment of Computer Science, Virginia Tech, Blacksburg, VA 24061, USA.
T M MuraliDepartment of Computer Science, Virginia Tech, Blacksburg, VA 24061, USA murali@cs.vt.edu.

Funding

Integrating Top-Down and Bottom-Up Models in Systems Biology with Application toR01GM095955 · NIGMS · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI MURALI, T M · 2011 to 2015
$2.0M
NIGMS NIH HHS R01 GM095955
6 · The paper itself

Abstract

Analysis of signaling pathways and their crosstalk is a cornerstone of systems biology. Thousands of papers have been published on these topics. Surprisingly, there is no database that carefully and explicitly documents crosstalk between specific pairs of signaling pathways. We have developed XTalkDB (http://www.xtalkdb.org) to fill this very important gap. XTalkDB contains curated information for 650 pairs of pathways from over 1600 publications. In addition, the database reports the molecular components (e.g. proteins, hormones, microRNAs) that mediate crosstalk between a pair of pathways and the species and tissue in which the crosstalk was observed. The XTalkDB website provides an easy-to-use interface for scientists to browse crosstalk information by querying one or more pathways or molecules of interest.

Indexed as

Databases, GeneticSignal TransductionSoftwareComputational BiologyGene Expression RegulationLigandsProtein BindingProteinsSystems BiologyWeb BrowserLigandsProteins

Identifiers

PMID27899583
PMCPMC5210533

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.