Evidence map›Paper›PMID 23180722›Full record

ReviewCardiovascular research2013

Proteomics: from single molecules to biological pathways.

Sarah R Langley, Joseph Dwyer, Ignat Drozdov, Xiaoke Yin, Manuel Mayr

Abstract readReview
In one paragraph

Review in Cardiovascular research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Uncovering Protein Networks in Cardiovascular Proteomics.Molecular & cellular proteomics : MCP · 2023
    Review
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Review
  13. What gastric cancer proteomic studies show about gastric carcinogenesis?Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2016
    Review
  14. Review
  15. Review
  16. Review
  17. Article
  18. Systems Medicine as an Emerging Tool for Cardiovascular Genetics.Frontiers in cardiovascular medicine · 2016
    Review
  19. Review
  20. [Differential proteomics on synthetic antimicrobial decapeptide against Streptococcus mutans].Hua xi kou qiang yi xue za zhi = Huaxi kouqiang yixue zazhi = West China journal of stomatology · 2015
    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

5 authors.

Sarah R LangleyKing's British Heart Foundation Centre, King's College London, 125 Coldharbour Lane, London SE5 9NU, UK.
Joseph Dwyer
Ignat Drozdov
Xiaoke Yin
Manuel Mayr

Funding

British Heart Foundation FS/13/2/29892
6 · The paper itself

Abstract

The conventional reductionist approach to cardiovascular research investigates individual candidate factors or linear signalling pathways but ignores more complex interactions in biological systems. The advent of molecular profiling technologies that focus on a global characterization of whole complements allows an exploration of the interconnectivity of pathways during pathophysiologically relevant processes, but has brought about the issue of statistical analysis and data integration. Proteins identified by differential expression as well as those in protein-protein interaction networks identified through experiments and through computational modelling techniques can be used as an initial starting point for functional analyses. In combination with other '-omics' technologies, such as transcriptomics and metabolomics, proteomics explores different aspects of disease, and the different pillars of observations facilitate the data integration in disease-specific networks. Ultimately, a systems biology approach may advance our understanding of cardiovascular disease processes at a 'biological pathway' instead of a 'single molecule' level and accelerate progress towards disease-modifying interventions.

Indexed as

Chromatography, LiquidHumansMetabolomicsProteinsProteomicsSystems BiologyTandem Mass SpectrometryTranscriptomeProteins

Identifiers

PMID23180722
PMCPMC3583257

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.