Evidence map›Paper›PMID 23408683›Full record

ArticleMolecular & cellular proteomics : MCP2013

N-glycoprotein SRMAtlas: a resource of mass spectrometric assays for N-glycosites enabling consistent and multiplexed protein quantification for clinical applications.

Ruth Hüttenhain, Silvia Surinova, Reto Ossola, Zhi Sun, David Campbell, Ferdinando Cerciello, Ralph Schiess, Damaris Bausch-Fluck, George Rosenberger, Jingchung Chen and 6 more

Open access · hybridAbstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
6.8field-weighted citation impact, top 2% 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

23 citing papers in PubMed, 50 citations in OpenAlex.

  1. Article
  2. Verification of a Blood-Based Targeted Proteomics Signature for Malignant Pleural Mesothelioma.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2020
    Article
  3. Article
  4. Review
  5. Review
  6. Chemical Glycoproteomics.Chemical reviews · 2016
    Review
  7. Review
  8. Human plasma protein N-glycosylation.Glycoconjugate journal · 2016
    Review
  9. Review
  10. Article
  11. Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. PRIME-XS, a European infrastructure for proteomics.Molecular & cellular proteomics : MCP · 2014
    Article
  17. Article
  18. Article
  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

16 authors at 8 institutions in 4 countries.

Ruth HüttenhainDepartment of Biology, Institute of Molecular Systems Biology, ETH Zurich, 8093 Zurich, Switzerland.
Silvia Surinova
Reto Ossola
Zhi Sun
David Campbell
Ferdinando Cerciello
Ralph Schiess
Damaris Bausch-Fluck
George Rosenberger
Jingchung Chen
Oliver Rinner
Ulrike Kusebauch
Marián Hajdúch
Robert L Moritz
Bernd Wollscheid
Ruedi Aebersold
University of Zurich · CHETH Zurich · CHInstitute for Systems Biology · USBiognosys (Switzerland) · CHInstitute of Molecular and Translational Medicine · CZProteome Sciences (United Kingdom) · GBThe Ohio State University Wexner Medical Center · USUniversity Hospital of Zurich · CH

Funding

Quantitative Systems BiologyP50GM076547 · NIGMS · INSTITUTE FOR SYSTEMS BIOLOGY · PI BALIGA, NITIN S · 2006 to 2016
$30.6M
Complete Human Peptide- and MRM-AtlasRC2HG005805 · NHGRI · INSTITUTE FOR SYSTEMS BIOLOGY · PI HOOD, LEROY E, MORITZ, ROBERT L · 2009 to 2010
$4.6M
European Research Council 233226NHGRI NIH HHS R01 HG005805NHGRI NIH HHS RC2 HG005805NIGMS NIH HHS 2P50 GM076547NIGMS NIH HHS P50 GM076547
6 · The paper itself

Abstract

Protein biomarkers have the potential to transform medicine as they are clinically used to diagnose diseases, stratify patients, and follow disease states. Even though a large number of potential biomarkers have been proposed over the past few years, almost none of them have been implemented so far in the clinic. One of the reasons for this limited success is the lack of technologies to validate proposed biomarker candidates in larger patient cohorts. This limitation could be alleviated by the use of antibody-independent validation methods such as selected reaction monitoring (SRM). Similar to measurements based on affinity reagents, SRM-based targeted mass spectrometry also requires the generation of definitive assays for each targeted analyte. Here, we present a library of SRM assays for 5568 N-glycosites enabling the multiplexed evaluation of clinically relevant N-glycoproteins as biomarker candidates. We demonstrate that this resource can be utilized to select SRM assay sets for cancer-associated N-glycoproteins for their subsequent multiplexed and consistent quantification in 120 human plasma samples. We show that N-glycoproteins spanning 5 orders of magnitude in abundance can be quantified and that previously reported abundance differences in various cancer types can be recapitulated. Together, the established N-glycoprotein SRMAtlas resource facilitates parallel, efficient, consistent, and sensitive evaluation of proposed biomarker candidates in large clinical sample cohorts.

Indexed as

AnimalsAntigens, Tumor-Associated, CarbohydrateCase-Control StudiesGlycoproteinsHumansMiceMolecular Sequence AnnotationNeoplasm ProteinsNeoplasmsPeptide LibrarySpectrometry, Mass, Electrospray IonizationTandem Mass SpectrometryAntigens, Tumor-Associated, CarbohydrateGlycoproteinsNeoplasm ProteinsPeptide Library

Identifiers

PMID23408683
PMCPMC3617325
OpenAlexW2156893242

What OpenQuestion holds

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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.