Evidence map›Paper›PMID 23702368›Full record

ReviewMethods (San Diego, Calif.)2013

Review of software tools for design and analysis of large scale MRM proteomic datasets.

Christopher M Colangelo, Lisa Chung, Can Bruce, Kei-Hoi Cheung

Abstract readReview
In one paragraph

Review in Methods (San Diego, Calif.), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Article
  6. Article
  7. "What I wish I had known before starting my PhD".Analytical science advances · 2023
    Article
  8. Article
  9. Review
  10. Paleoproteomics.Chemical reviews · 2022
    Review
  11. Targeted proteomics for cancer biomarker verification and validation.Cancer biomarkers : section A of Disease markers · 2022
    Review
  12. Article
  13. Review
  14. Review
  15. Article
  16. Review
  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

4 authors.

Christopher M ColangeloW.M. Keck Foundation Biotechnology Resource Laboratory, School of Medicine, Yale University, New Haven, CT 06510, USA. christopher.colangelo@yale.edu
Lisa Chung
Can Bruce
Kei-Hoi Cheung

Funding

YALE UNIVERSITY CLINICAL AND TRANSLATIONAL SCIENCE AWARD PROGRAMUL1RR024139 · NCRR · YALE UNIVERSITY · PI SHERWIN, ROBERT S · 2006 to 2011
$56.8M
Yale/NIDA Neuroproteomics Research CenterP30DA018343 · NIDA · YALE UNIVERSITY · PI ANGUS C. NAIRN, Kenneth Robert WILLIAMS · 2004 to 2026
$37.1M
5500 QTrap Mass Spectrometer for Yale University, Keck LaboratoryS10RR026707 · NCRR · YALE UNIVERSITY · PI COLANGELO, CHRISTOPHER MICHAEL · 2010 to 2010
$492k
NCRR NIH HHS S10 RR026707NCRR NIH HHS UL1 RR024139NIDA NIH HHS P30 DA018343
6 · The paper itself

Abstract

Selective or Multiple Reaction monitoring (SRM/MRM) is a liquid-chromatography (LC)/tandem-mass spectrometry (MS/MS) method that enables the quantitation of specific proteins in a sample by analyzing precursor ions and the fragment ions of their selected tryptic peptides. Instrumentation software has advanced to the point that thousands of transitions (pairs of primary and secondary m/z values) can be measured in a triple quadrupole instrument coupled to an LC, by a well-designed scheduling and selection of m/z windows. The design of a good MRM assay relies on the availability of peptide spectra from previous discovery-phase LC-MS/MS studies. The tedious aspect of manually developing and processing MRM assays involving thousands of transitions has spurred to development of software tools to automate this process. Software packages have been developed for project management, assay development, assay validation, data export, peak integration, quality assessment, and biostatistical analysis. No single tool provides a complete end-to-end solution, thus this article reviews the current state and discusses future directions of these software tools in order to enable researchers to combine these tools for a comprehensive targeted proteomics workflow.

Indexed as

SoftwareAnimalsChromatography, LiquidHumansIonsPeptide FragmentsProteinsProteomicsTandem Mass SpectrometryIonsPeptide FragmentsProteins

Identifiers

PMID23702368
PMCPMC3775261

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.