Evidence map›Paper›PMID 25894391›Full record

ArticlePloS one2015

Toll-like receptor signaling in vertebrates: testing the integration of protein, complex, and pathway data in the protein ontology framework.

Cecilia Arighi, Veronica Shamovsky, Anna Maria Masci, Alan Ruttenberg, Barry Smith, Darren A Natale, Cathy Wu, Peter D'Eustachio

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 38% of its field
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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Tutorial on Protein Ontology Resources.Methods in molecular biology (Clifton, N.J.) · 2017
    Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 6 institutions in 1 country.

Cecilia ArighiCenter for Bioinformatics and Computational Biology, University of Delaware, Newark, Delaware, United States of America.
Veronica ShamovskyDepartment of Biochemistry & Molecular Pharmacology, NYU School of Medicine, New York, New York, United States of America.
Anna Maria MasciDepartment of Immunology, Duke University, Durham, North Carolina, United States of America.
Alan RuttenbergSchool of Dental Medicine, State University of New York at Buffalo, Buffalo, New York, United States of America.
Barry SmithDepartment of Philosophy and Center of Excellence in Bioinformatics and Life Sciences, State University of New York at Buffalo, Buffalo, New York, United States of America.
Darren A NataleProtein Information Resource, Department of Biochemistry and Molecular & Cellular Biology, Georgetown University Medical Center, Washington, D. C., United States of America.
Cathy WuCenter for Bioinformatics and Computational Biology, University of Delaware, Newark, Delaware, United States of America; Protein Information Resource, Department of Biochemistry and Molecular & Cellular Biology, Georgetown University Medical Center, Washington, D. C., United States of America.
Peter D'EustachioDepartment of Biochemistry & Molecular Pharmacology, NYU School of Medicine, New York, New York, United States of America.
New York University · USUniversity at Buffalo, State University of New York · USDuke University · USGeorgetown University · USGeorgetown University Medical Center · USUniversity of Delaware · US

Funding

PRO: A Protein Ontology in Open Biomedical OntologiesR01GM080646 · NIGMS · UNIVERSITY OF DELAWARE · PI WU, CATHY H. · 2007 to 2018
$8.9M
NIGMS NIH HHS 5R01GM080646-09NIGMS NIH HHS R01 GM080646PHS HHS HHSN272201000053C
6 · The paper itself

Abstract

The Protein Ontology (PRO) provides terms for and supports annotation of species-specific protein complexes in an ontology framework that relates them both to their components and to species-independent families of complexes. Comprehensive curation of experimentally known forms and annotations thereof is expected to expose discrepancies, differences, and gaps in our knowledge. We have annotated the early events of innate immune signaling mediated by Toll-Like Receptor 3 and 4 complexes in human, mouse, and chicken. The resulting ontology and annotation data set has allowed us to identify species-specific gaps in experimental data and possible functional differences between species, and to employ inferred structural and functional relationships to suggest plausible resolutions of these discrepancies and gaps.

Indexed as

Biological OntologiesSignal TransductionAnimalsChickensComputational BiologyEvolution, MolecularHumansMiceMolecular Sequence AnnotationProtein TransportToll-Like ReceptorsToll-Like Receptors

Identifiers

PMID25894391
PMCPMC4404318
OpenAlexW2089792880

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.