Evidence map›Paper›PMID 18162499›Full record

ReviewPhysiological genomics2008

Methods and approaches for the comprehensive characterization and quantification of cellular proteomes using mass spectrometry.

Shama P Mirza, Michael Olivier

Abstract readReview
In one paragraph

Review in Physiological genomics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. The Concept of Immunogenetics.Advances in experimental medicine and biology · 2022
    Article
  5. Article
  6. Review
  7. Proteomic analysis of seminal fluid from men exhibiting oxidative stress.Reproductive biology and endocrinology : RB&E · 2013
    Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. 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

2 authors.

Shama P MirzaNational Center for Proteomics Research, Biotechnology and Bioengineering Center, Medical College of Wisconsin, Milwaukee, Wisconsin 53226, USA. e-mail: smirza@mcw.edu
Michael Olivier

Funding

NEUTROPHIL AND O2 RADICAL MEDIATED ENDOTHELIAL INJURYR01HL028182 · NHLBI · UNIVERSITY OF COLORADO DENVER · PI REPINE, JOHN E · 1985 to 1987
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NHLBI NIH HHS N01 HV028182NHLBI NIH HHS N01-HV-28182
6 · The paper itself

Abstract

Proteomics has been proposed as one of the key technologies in the postgenomic era. So far, however, the comprehensive analysis of cellular proteomes has been a challenge because of the dynamic nature and complexity of the multitude of proteins in cells and tissues. Various approaches have been established for the analyses of proteins in a cell at a given state, and mass spectrometry (MS) has proven to be an efficient and versatile tool. MS-based proteomics approaches have significantly improved beyond the initial identification of proteins to comprehensive characterization and quantification of proteomes and their posttranslational modifications (PTMs). Despite these advances, there is still ongoing development of new technologies to profile and analyze cellular proteomes more completely and efficiently. In this review, we focus on MS-based techniques, describe basic approaches for MS-based profiling of cellular proteomes and analysis methods to identify proteins in complex mixtures, and discuss the different approaches for quantitative proteome analysis. Finally, we briefly discuss novel developments for the analysis of PTMs. Altered levels of PTM, sometimes in the absence of protein expression changes, are often linked to cellular responses and disease states, and the comprehensive analysis of cellular proteome would not be complete without the identification and quantification of the extent of PTMs of proteins.

Indexed as

Chromatography, AffinityHumansImmunoprecipitationMass SpectrometryModels, BiologicalProtein Processing, Post-TranslationalProteomeProteomicsStaining and LabelingProteome

Identifiers

PMID18162499
PMCPMC2771641

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.