Evidence map›Paper›PMID 25348939›Full record

ArticleExpert review of proteomics2014

Targeted proteomics: a bridge between discovery and validation.

Robert Harlan, Hui Zhang

Abstract read
In one paragraph

Article in Expert review of proteomics, 2014. 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. Review
  2. Review
  3. Review
  4. Review
  5. Article
  6. Review
  7. Article
  8. The Edge Effect in High-Throughput Proteomics: A Cautionary Tale.Journal of the American Society for Mass Spectrometry · 2023
    Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Review
  19. Article
  20. Challenges of deciphering gastric cancer heterogeneity.World journal of gastroenterology · 2015
    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

2 authors.

Robert HarlanDepartment of Pathology, Johns Hopkins University, Baltimore, MD 21231, USA.
Hui Zhang

Funding

Shared Resource CoresP01HL107153 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI HART, GERALD WARREN · 2011 to 2017
$16.8M
Proteome Characterization Center: A Genoproteomics Pipeline for Cance ResearchU24CA160036 · NCI · JOHNS HOPKINS UNIVERSITY · PI CHAN, DANIEL WANYUI, ZHANG, HUI · 2011 to 2016
$10.7M
Clinical and Analytical Validation of Cancer BiomarkersU24CA115102 · NCI · JOHNS HOPKINS UNIVERSITY · PI CHAN, DANIEL WANYUI · 2005 to 2021
$7.4M
Glycoprotein biomarkers for the early detection of aggressive prostate cancerU01CA152813 · NCI · JOHNS HOPKINS UNIVERSITY · PI ZHANG, HUI · 2010 to 2021
$6.2M
NCI NIH HHS U01 CA152813NCI NIH HHS U01CA152813NCI NIH HHS U24 CA115102NCI NIH HHS U24CA115102NCI NIH HHS U24 CA160036NCI NIH HHS U24CA160036NHLBI NIH HHS P01 HL107153NHLBI NIH HHS P01HL107153
6 · The paper itself

Abstract

New technologies in mass spectrometry are beginning to mature and show unique advantages for the identification and quantitation of proteins. In recent years, one of the significant goals of clinical proteomics has been to identify biomarkers that can be used for clinical diagnosis. As technology has progressed, the list of potential biomarkers has grown. However, the verification and validation of these potential biomarkers is increasingly challenging and require high-throughput quantitative assays, targeting specific candidates. Targeted proteomics bridges the gap between biomarker discovery and the development of clinically applicable biomarker assays.

Indexed as

BiomarkersBiomedical ResearchHumansMass SpectrometryProteinsProteomicsBiomarkersProteinsbiomarkerLC–MSMRMPRMproteomicsSRMtargeted proteomics

Identifiers

PMID25348939
PMCPMC4490831

What OpenQuestion holds

Textmetadata
LicenceTDM
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.