Evidence map›Paper›PMID 21085123›Full record

ArticleNature protocols2010

Simultaneous analysis of relative protein expression levels across multiple samples using iTRAQ isobaric tags with 2D nano LC-MS/MS.

Richard D Unwin, John R Griffiths, Anthony D Whetton

Abstract read
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In one paragraph

Article in Nature protocols, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 116 papers.

0numbers the graph read from it
0cells of the map it votes in
116citing 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

116 citing papers in PubMed.

  1. Trial
  2. Pleiotropic roles of elongation factor P inMicrobiology spectrum · 2026
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  6. iTRAQ-Based Proteomic Approach to Study Stress Memory Responses in Plants.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  7. Proteomics Approaches Used to Investigate Age Related Macular Degeneration.Advances in experimental medicine and biology · 2026
    Review
  8. Article
  9. The Proteomic and Peptidomic Response of Wheat (Plants (Basel, Switzerland) · 2025
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Cinnamaldehyde ResistMolecules (Basel, Switzerland) · 2022
    Article
  19. Article
  20. Article

56 more citing papers are in PubMed but not listed here.

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.

Richard D UnwinStem Cell & Leukaemia Proteomics Laboratory, School of Cancer and Enabling Sciences, Faculty of Medical and Human Sciences, University of Manchester, Manchester Academic Health Science Centre, Wolfson Molecular Imaging Centre, Manchester, UK. r.unwin@manchester.ac.uk
John R Griffiths
Anthony D Whetton

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this paper, we describe the use of iTRAQ (isobaric Tags for Relative and Absolute Quantitation) tags for comparison of protein expression levels between multiple samples. These tags label all peptides in a protein digest before labeled samples are pooled, fractionated and analyzed using mass spectrometry (MS). As the tags are isobaric, the intensity of each peak is the sum of the intensity of this peptide from all samples, providing a moderate enhancement in sensitivity. On peptide fragmentation, amino-acid sequence ions also show this summed intensity, providing a sensitivity enhancement. However, the distinct distribution of isotopes in the tags is such that, on further fragmentation, a tag-specific reporter ion is released. The relative intensities of these ions represent the relative amount of peptide in the analytes. Integration of the relative quantification data for the peptides allows relative quantification of the protein. This protocol discusses the rationale behind design, optimization and performance of experiments, comparing protein samples using iTRAQ chemistries combined with strong cation exchange chromatographic fractionation and MS.

Indexed as

Chromatography, LiquidTandem Mass SpectrometryAnimalsGene Expression ProfilingHumansProteinsProteins

Identifiers

PMID21085123

What OpenQuestion holds

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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.