Evidence map›Paper›PMID 23835517›Full record

ReviewCurrent opinion in chemical biology2013

Quantifying proteomes and their post-translational modifications by stable isotope label-based mass spectrometry.

Anna E Merrill, Joshua J Coon

Open access · greenAbstract readReview
In one paragraph

Review in Current opinion in chemical biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

15 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Mass spectrometry-based proteomics for pre-eclampsia and preterm birth.International journal of molecular sciences · 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 at 1 institution in 1 country.

Anna E MerrillDepartment of Chemistry, University of Wisconsin, 1101 University Avenue, Madison, WI 53706, United States; Genome Center of Wisconsin, University of Wisconsin, 425 Henry Mall, Madison, WI 53706, United States.
Joshua J Coon
Energy Center of Wisconsin · US

Funding

Institutional Training in the Genomic SciencesT32HG002760 · NHGRI · UNIVERSITY OF WISCONSIN-MADISON · PI Qiongshi Lu · 2003 to 2026
$17.7M
Sequential Ion/Ion Reactions for Large Peptide and Whole Protein CharacterizationR01GM080148 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI COON, JOSHUA J · 2007 to 2015
$3.0M
NHGRI NIH HHS 5T32HG002760NHGRI NIH HHS T32 HG002760NIGMS NIH HHS R01 GM080148
6 · The paper itself

Abstract

Stable isotope labeling coupled with mass spectrometry has revolutionized the scope and impact of protein expression studies. Label incorporation can occur metabolically or chemically, and each method bears specific strengths and weaknesses. Quantitative proteomics confidently identifies specific interactions between proteins and other biological species, such as nucleic acids and metabolites. Extending label-based methods to phosphorylation-modified forms of proteins enables the construction of signaling networks and their temporal responses to stimuli. The integration of multiple data types offers systems-level insight on coordinated biological processes. Finally, the development of methods applicable to tissue quantification suggests the emerging role of label-based, quantitative mass spectrometry in translational science.

Indexed as

Isotope LabelingProtein Processing, Post-TranslationalAnimalsHumansMass SpectrometryProtein BindingProteomeProteomicsProteome

Identifiers

PMID23835517
PMCPMC3823833
OpenAlexW2130947201

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.