Evidence map›Paper›PMID 29695735›Full record

ArticleScientific reports2018

Integrative annotation and knowledge discovery of kinase post-translational modifications and cancer-associated mutations through federated protein ontologies and resources.

Liang-Chin Huang, Karen E Ross, Timothy R Baffi, Harold Drabkin, Krzysztof J Kochut, Zheng Ruan, Peter D'Eustachio, Daniel McSkimming, Cecilia Arighi, Chuming Chen and 6 more

Abstract read
In one paragraph

Article in Scientific reports, 2018. 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. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Protein kinase C: release from quarantine by mTORC2.Trends in biochemical sciences · 2022
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. PHLPPing the Script: Emerging Roles of PHLPP Phosphatases in Cell Signaling.Annual review of pharmacology and toxicology · 2021
    Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

16 authors.

Liang-Chin HuangInstitute of Bioinformatics, University of Georgia, Athens, GA, 30602, USA.
Karen E RossProtein Information Resource (PIR), Department of Biochemistry and Molecular & Cellular Biology, Georgetown University Medical Center, Washington, DC, 20007, USA.
Timothy R BaffiDepartment of Pharmacology, University of California, San Diego, La Jolla, CA, 92093, USA.
Harold DrabkinThe Jackson Laboratory, Bar Harbor, ME, 04609, USA.
Krzysztof J KochutDepartment of Computer Science, University of Georgia, Athens, GA, 30602, USA.
Zheng RuanInstitute of Bioinformatics, University of Georgia, Athens, GA, 30602, USA.ORCID 0000-0002-4412-4916
Peter D'EustachioDepartment of Biochemistry & Molecular Pharmacology, NYU School of Medicine, New York, NY, 10016, USA.ORCID 0000-0002-5494-626X
Daniel McSkimmingGenome, Environment, and Microbiome (GEM) Center of Excellence, University at Buffalo, Buffalo, NY, 14203, USA.
Cecilia ArighiCenter for Bioinformatics and Computational Biology, University of Delaware, Newark, DE, 19711, USA.
Chuming ChenCenter for Bioinformatics and Computational Biology, University of Delaware, Newark, DE, 19711, USA.
Darren A NataleProtein Information Resource (PIR), Department of Biochemistry and Molecular & Cellular Biology, Georgetown University Medical Center, Washington, DC, 20007, USA.
Cynthia SmithThe Jackson Laboratory, Bar Harbor, ME, 04609, USA.ORCID 0000-0003-3691-0324
Pascale GaudetSIB Swiss Institute of Bioinformatics, Lausanne, 1015, Switzerland.
Alexandra C NewtonDepartment of Pharmacology, University of California, San Diego, La Jolla, CA, 92093, USA.
Cathy WuProtein Information Resource (PIR), Department of Biochemistry and Molecular & Cellular Biology, Georgetown University Medical Center, Washington, DC, 20007, USA.
Natarajan KannanInstitute of Bioinformatics, University of Georgia, Athens, GA, 30602, USA. nkannan@uga.edu.

Funding

GRADUATE TRAINING IN CELLULAR &MOLECULAR PHARMACOLOGYT32GM007752 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BROWN, JOAN HELLER, HANDEL, TRACY M · 1985 to 2023
$13.5M
PRO: A Protein Ontology in Open Biomedical OntologiesR01GM080646 · NIGMS · UNIVERSITY OF DELAWARE · PI WU, CATHY H. · 2007 to 2018
$8.9M
Molecular Mechanisms of Cell SignalingR35GM122523 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ALEXANDRA C. NEWTON · 2017 to 2026
$6.7M
Functional Annotation of Natural and Disease Variants in Tryosine KinasesR01GM114409 · NIGMS · UNIVERSITY OF GEORGIA · PI KANNAN, NATARAJAN · 2015 to 2020
$1.6M
Semantic Literature Annotation and Integrative Panomics Analysis for PTM-Disease Knowledge Network DiscoveryU01GM120953 · NIGMS · UNIVERSITY OF DELAWARE · PI SHANKER, VIJAY K, WU, CATHY H. · 2016 to 2018
$1.1M
Biocreative Conference GrantR13GM109648 · NIGMS · UNIVERSITY OF COLORADO DENVER · PI ARIGHI, CECILIA NOEMI, COHEN, KEVIN B. · 2014 to 2016
$36k
NIGMS NIH HHS R01 GM080646NIGMS NIH HHS R01 GM114409NIGMS NIH HHS R13 GM109648NIGMS NIH HHS R35 GM122523NIGMS NIH HHS T32 GM007752NIGMS NIH HHS U01 GM120953
6 · The paper itself

Abstract

Many bioinformatics resources with unique perspectives on the protein landscape are currently available. However, generating new knowledge from these resources requires interoperable workflows that support cross-resource queries. In this study, we employ federated queries linking information from the Protein Kinase Ontology, iPTMnet, Protein Ontology, neXtProt, and the Mouse Genome Informatics to identify key knowledge gaps in the functional coverage of the human kinome and prioritize understudied kinases, cancer variants and post-translational modifications (PTMs) for functional studies. We identify 32 functional domains enriched in cancer variants and PTMs and generate mechanistic hypotheses on overlapping variant and PTM sites by aggregating information at the residue, protein, pathway and species level from these resources. We experimentally test the hypothesis that S768 phosphorylation in the C-helix of EGFR is inhibitory by showing that oncogenic variants altering S768 phosphorylation increase basal EGFR activity. In contrast, oncogenic variants altering conserved phosphorylation sites in the 'hydrophobic motif' of PKCβII (S660F and S660C) are loss-of-function in that they reduce kinase activity and enhance membrane translocation. Our studies provide a framework for integrative, consistent, and reproducible annotation of the cancer kinomes.

Indexed as

AnimalsCell LineChlorocebus aethiopsCHO CellsComputational BiologyCOS CellsCricetulusGene OntologyGenetic VariationHumansMiceMutationNeoplasmsPhosphorylationProtein KinasesProtein Processing, Post-TranslationalProtein KinasesProteins

Identifiers

PMID29695735
PMCPMC5916945

What Socratic 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 Socratic graph.