Evidence map›Paper›PMID 21447706›Full record

ArticleMolecular & cellular proteomics : MCP2011

Targeted identification of metastasis-associated cell-surface sialoglycoproteins in prostate cancer.

Lifang Yang, Julius O Nyalwidhe, Siqi Guo, Richard R Drake, O John Semmes

Open access · hybridAbstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed
3.9field-weighted citation impact, top 6% 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

52 citing papers in PubMed, 81 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. ACS central science · 2022
    Article
  5. Article
  6. Article
  7. Article
  8. Mass Spectrometry-Based Glycoproteomics and Prostate Cancer.International journal of molecular sciences · 2021
    Review
  9. Article
  10. Review
  11. Mapping glycan-mediated galectin-3 interactions by live cell proximity labeling.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  12. Article
  13. Review
  14. Glycans as Biomarkers in Prostate Cancer.International journal of molecular sciences · 2019
    Review
  15. Bifunctional cleavable probes forChemical science · 2019
    Article
  16. Article
  17. Review
  18. Review
  19. Review
  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

5 authors at 2 institutions in 1 country.

Lifang YangLeroy T. Canoles Cancer Research Center, Department of Microbiology and Molecular Cell Biology, Eastern Virginia Medical School, Norfolk, Virginia 23507, USA.
Julius O Nyalwidhe
Siqi Guo
Richard R Drake
O John Semmes
Eastern Virginia Medical School · USOld Dominion University · US

Funding

EARLY DETECTION OF CANCER BY AFFINITY MASS SPECTROMETRYU01CA085067 · NCI · EASTERN VIRGINIA MEDICAL SCHOOL · PI SEMMES, OLIVER JOHN · 1999 to 2009
$5.1M
Glycan Biomarkers of Prostate Cancer in Prostatic FluidsR01CA135087 · NCI · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI DRAKE, RICHARD R. · 2009 to 2012
$989k
NCI NIH HHS R01 CA135087NCI NIH HHS U01 CA085067
6 · The paper itself

Abstract

Covalent attachment of carbohydrates to proteins is one of the most common post-translational modifications. At the cell surface, sugar moieties of glycoproteins contribute to molecular recognition events involved in cancer metastasis. We have combined glycan metabolic labeling with mass spectrometry analysis to identify and characterize metastasis-associated cell surface sialoglycoproteins. Our model system used syngeneic prostate cancer cell lines derived from PC3 (N2, nonmetastatic, and ML2, highly metastatic). The metabolic incorporation of AC(4)ManNAz and subsequent specific labeling of cell surface sialylation was confirmed by flow cytometry and confocal microscopy. Affinity isolation of the modified sialic-acid containing cell surface proteins via click chemistry was followed by SDS-PAGE separation and liquid chromatography-tandem MS analysis. We identified 324 proteins from N2 and 372 proteins of ML2. Using conservative annotation, 64 proteins (26%) from N2 and 72 proteins (29%) from ML2 were classified as extracellular or membrane-associated glycoproteins. A selective enrichment of sialoglycoproteins was confirmed. When compared with global proteomic analysis of the same cells, the proportion of identified glycoprotein and cell-surface proteins were on average threefold higher using the selective capture approach. Functional clustering of differentially expressed proteins by Ingenuity Pathway Analysis revealed that the vast majority of glycoproteins overexpressed in the metastatic ML2 subline were involved in cell motility, migration, and invasion. Our approach effectively targeted surface sialoglycoproteins and efficiently identified proteins that underlie the metastatic potential of the ML2 cells.

Indexed as

Antigens, CDAntigens, NeoplasmBiomarkers, TumorCell Adhesion MoleculesCell Line, TumorHumansIntegrin beta1MaleNeoplasm MetastasisNeoplasm ProteinsProstatic NeoplasmsProteomeReagent Kits, DiagnosticSialoglycoproteinsTandem Mass SpectrometryAntigens, CDAntigens, NeoplasmBiomarkers, TumorCDCP1 protein, humanCell Adhesion MoleculesIntegrin beta1Neoplasm ProteinsProteomeReagent Kits, DiagnosticSialoglycoproteins

Identifiers

PMID21447706
PMCPMC3108840
OpenAlexW1967527420

What OpenQuestion holds

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LicenceCC BY-NC
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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.