Evidence map›Paper›PMID 19955089›Full record

ArticleMolecular & cellular proteomics : MCP2010

Quantitative proteomics by metabolic labeling of model organisms.

Joost W Gouw, Jeroen Krijgsveld, Albert J R Heck

Open access · hybridAbstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed
9.6field-weighted citation impact, top 1% 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

60 citing papers in PubMed, 154 citations in OpenAlex.

  1. Review
  2. Insights from Mass Spectrometry-Based Proteomics onJournal of fungi (Basel, Switzerland) · 2025
    Review
  3. Article
  4. Review
  5. Article
  6. SILAC-Based Quantitative Proteomic Analysis of Drosophila Embryos.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  7. Review
  8. Quantitative Proteomics Using Isobaric Labeling: A Practical Guide.Genomics, proteomics & bioinformatics · 2021
    Review
  9. Review
  10. Article
  11. Review
  12. Article
  13. Review
  14. Review
  15. Article
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  17. Review
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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

3 authors at 1 institution in 1 country.

Joost W GouwBiomolecular Mass Spectrometry and Proteomics Group, Bijvoet Center for Biomolecular Research, and Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Netherlands Proteomics Centre, 3584CH Utrecht, The Netherlands.
Jeroen Krijgsveld
Albert J R Heck
Utrecht University · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the biological sciences, model organisms have been used for many decades and have enabled the gathering of a large proportion of our present day knowledge of basic biological processes and their derailments in disease. Although in many of these studies using model organisms, the focus has primarily been on genetics and genomics approaches, it is important that methods become available to extend this to the relevant protein level. Mass spectrometry-based proteomics is increasingly becoming the standard to comprehensively analyze proteomes. An important transition has been made recently by moving from charting static proteomes to monitoring their dynamics by simultaneously quantifying multiple proteins obtained from differently treated samples. Especially the labeling with stable isotopes has proved an effective means to accurately determine differential expression levels of proteins. Among these, metabolic incorporation of stable isotopes in vivo in whole organisms is one of the favored strategies. In this perspective, we will focus on methodologies to stable isotope label a variety of model organisms in vivo, ranging from relatively simple organisms such as bacteria and yeast to Caenorhabditis elegans, Drosophila, and Arabidopsis up to mammals such as rats and mice. We also summarize how this has opened up ways to investigate biological processes at the protein level in health and disease, revealing conservation and variation across the evolutionary tree of life.

Indexed as

AnimalsArabidopsisCaenorhabditis elegansCarbon IsotopesDatabases, ProteinDrosophila melanogasterGene Expression ProfilingHumansIsotope LabelingMass SpectrometryMiceNitrogen IsotopesPhylogenyProteomeProteomicsRatsCarbon IsotopesNitrogen IsotopesProteome

Identifiers

PMID19955089
PMCPMC2808257
OpenAlexW2147971491

What OpenQuestion holds

Textmetadata
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.