Evidence map›Paper›PMID 23822953›Full record

ArticleThe Biochemical journal2013

Phosphoproteomics of collagen receptor networks reveals SHP-2 phosphorylation downstream of wild-type DDR2 and its lung cancer mutants.

Leo K Iwai, Leo S Payne, Maciej T Luczynski, Francis Chang, Huifang Xu, Ryan W Clinton, Angela Paul, Edward A Esposito, Scott Gridley, Birgit Leitinger and 2 more

Open access · hybridAbstract read
In one paragraph

Article in The Biochemical journal, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
6.0field-weighted citation impact, top 3% 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

44 citing papers in PubMed, 75 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. From Stem to Sternum: The Role of Shp2 in the Skeleton.Calcified tissue international · 2023
    Review
  8. Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Complex roles of discoidin domain receptor tyrosine kinases in cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2021
    Review
  14. Review
  15. Two-step release of kinase autoinhibition in discoidin domain receptor 1.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  16. Article
  17. The role of collagen in cancer: from bench to bedside.Journal of translational medicine · 2019
    Review
  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

12 authors at 4 institutions in 2 countries.

Leo K IwaiProtein Networks Team, Division of Cancer Biology, Institute of Cancer Research, London SW3 6JB, UK.
Leo S Payne
Maciej T Luczynski
Francis Chang
Huifang Xu
Ryan W Clinton
Angela Paul
Edward A Esposito
Scott Gridley
Birgit Leitinger
Kristen M Naegle
Paul H Huang
Institute of Cancer Research · GBECI Biotech (United States) · USLung Institute · USWashington University in St. Louis · US

Funding

Biotechnology and Biological Sciences Research Council BB/I011226/1Biotechnology and Biological Sciences Research Council BB/I014276/1Wellcome Trust 089028
6 · The paper itself

Abstract

Collagen is an important extracellular matrix component that directs many fundamental cellular processes including differentiation, proliferation and motility. The signalling networks driving these processes are propagated by collagen receptors such as the β1 integrins and the DDRs (discoidin domain receptors). To gain an insight into the molecular mechanisms of collagen receptor signalling, we have performed a quantitative analysis of the phosphorylation networks downstream of collagen activation of integrins and DDR2. Temporal analysis over seven time points identified 424 phosphorylated proteins. Distinct DDR2 tyrosine phosphorylation sites displayed unique temporal activation profiles in agreement with in vitro kinase data. Multiple clustering analysis of the phosphoproteomic data revealed several DDR2 candidate downstream signalling nodes, including SHP-2 (Src homology 2 domain-containing protein tyrosine phosphatase 2), NCK1 (non-catalytic region of tyrosine kinase adaptor protein 1), LYN, SHIP-2 [SH2 (Src homology 2)-domain-containing inositol phosphatase 2], PIK3C2A (phosphatidylinositol-4-phosphate 3-kinase, catalytic subunit type 2α) and PLCL2 (phospholipase C-like 2). Biochemical validation showed that SHP-2 tyrosine phosphorylation is dependent on DDR2 kinase activity. Targeted proteomic profiling of a panel of lung SCC (squamous cell carcinoma) DDR2 mutants demonstrated that SHP-2 is tyrosine-phosphorylated by the L63V and G505S mutants. In contrast, the I638F kinase domain mutant exhibited diminished DDR2 and SHP-2 tyrosine phosphorylation levels which have an inverse relationship with clonogenic potential. Taken together, the results of the present study indicate that SHP-2 is a key signalling node downstream of the DDR2 receptor which may have therapeutic implications in a subset of DDR2 mutations recently uncovered in genome-wide lung SCC sequencing screens.

Indexed as

Protein Processing, Post-TranslationalAmino Acid SequenceCarcinoma, Squamous CellCluster AnalysisCollagen Type IDiscoidin Domain ReceptorsHEK293 CellsHumansLung NeoplasmsMolecular Sequence DataMutation, MissensePhosphoproteinsPhosphorylationProtein Tyrosine Phosphatase, Non-Receptor Type 11ProteomicsReceptor Protein-Tyrosine KinasesCollagen Type IDiscoidin Domain ReceptorsPhosphoproteinsProtein Tyrosine Phosphatase, Non-Receptor Type 11PTPN11 protein, humanReceptor Protein-Tyrosine KinasesReceptors, CollagenReceptors, Mitogensrc-Family Kinases

Identifiers

PMID23822953
PMCPMC3893797
OpenAlexW1971228466

What OpenQuestion holds

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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.