Evidence map›Paper›PMID 28722704›Full record

ArticleScientific data2017

Targeted proteomic assays for quantitation of proteins identified by proteogenomic analysis of ovarian cancer.

Ehwang Song, Yuqian Gao, Chaochao Wu, Tujin Shi, Song Nie, Thomas L Fillmore, Athena A Schepmoes, Marina A Gritsenko, Wei-Jun Qian, Richard D Smith and 2 more

Open access · goldAbstract readDataset
In one paragraph

Article in Scientific data, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
1.8field-weighted citation impact, top 17% 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

21 citing papers in PubMed, 37 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Statistical and Computational Methods for Proteogenomic Data Analysis.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  10. Article
  11. Review
  12. Preparation and Curation of Omics Data for Genome-Wide Association Studies.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  13. Review
  14. Article
  15. Article
  16. Sample multiplexing for targeted pathway proteomics in aging mice.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  17. Review
  18. Review
  19. Article
  20. Clinical potential of mass spectrometry-based proteogenomics.Nature reviews. Clinical oncology · 2019
    Review
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 2 institutions in 1 country.

Ehwang SongBiological Sciences Division, Richland, WA 99354, USA.
Yuqian GaoBiological Sciences Division, Richland, WA 99354, USA.
Chaochao WuBiological Sciences Division, Richland, WA 99354, USA.
Tujin ShiBiological Sciences Division, Richland, WA 99354, USA.
Song NieBiological Sciences Division, Richland, WA 99354, USA.
Thomas L FillmoreEnvironmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, WA 99354, USA.
Athena A SchepmoesBiological Sciences Division, Richland, WA 99354, USA.
Marina A GritsenkoBiological Sciences Division, Richland, WA 99354, USA.
Wei-Jun QianBiological Sciences Division, Richland, WA 99354, USA.ORCID 0000-0002-5393-2827
Richard D SmithBiological Sciences Division, Richland, WA 99354, USA.ORCID 0000-0002-2381-2349
Karin D RodlandBiological Sciences Division, Richland, WA 99354, USA.
Tao LiuBiological Sciences Division, Richland, WA 99354, USA.
Richland College · USPacific Northwest National Laboratory · US

Funding

PNNL Clinical Proteome Characterization CenterU24CA160019 · NCI · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI RODLAND, KARIN D, SMITH, RICHARD D · 2011 to 2016
$15.7M
PNNL Proteome Characterization CenterU24CA210955 · NCI · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI LIU, TAO, SMITH, RICHARD D · 2016 to 2020
$5.3M
NCI NIH HHS U24 CA160019NCI NIH HHS U24 CA210955
6 · The paper itself

Abstract

Mass spectrometry (MS) based targeted proteomic methods such as selected reaction monitoring (SRM) are emerging as a promising tool for verification of candidate proteins in biological and biomedical applications. The Clinical Proteomic Tumor Analysis Consortium (CPTAC) of the National Cancer Institute has investigated the standardization and analytical validation of the SRM assays and demonstrated robust analytical performance on different instruments across different laboratories. An Assay Portal has also been established by CPTAC to provide the research community a resource consisting of large sets of targeted MS-based assays, and a depository to share assays publicly. Herein, we report the development of 98 SRM assays that have been thoroughly characterized according to the CPTAC Assay Characterization Guidance Document; 37 of these passed all five experimental tests. The assays cover 70 proteins previously identified at the protein level in ovarian tumors. The experiments, methods and results for characterizing these SRM assays for their MS response, repeatability, selectivity, stability, and endogenous detection are described in detail. Data are available via PeptideAtlas, Panorama and the CPTAC Assay Portal.

Indexed as

Ovarian NeoplasmsProteogenomicsProteomicsFemaleHumans

Identifiers

PMID28722704
PMCPMC5516542
OpenAlexW2738829847

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.