Evidence map›Paper›PMID 20948568›Full record

ArticleHuman genomics and proteomics : HGP2009

Proteomics: challenges, techniques and possibilities to overcome biological sample complexity.

Kondethimmanahalli Chandramouli, Pei-Yuan Qian

Abstract read
In one paragraph

Article in Human genomics and proteomics : HGP, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 218 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
218citing papers in PubMed, 6 pooled it
–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

218 citing papers in PubMed, 6 syntheses or guidelines pooled it.

  1. Pooled it
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  3. Pooled it
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  6. Pooled it
  7. Review
  8. Proteomic analysis of rose apple reveals defense proteins activated during Lasiodiplodia theobromae infection.International microbiology : the official journal of the Spanish Society for Microbiology · 2026
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  10. Review
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  13. Review
  14. Generalizable Direct Protein Sequencing With InstaNexus.Molecular & cellular proteomics : MCP · 2026
    Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Review
  20. Antibiotic resistance inFrontiers in microbiology · 2026
    Review

158 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

2 authors.

Kondethimmanahalli ChandramouliDepartment of Biology, The Hong Kong University of Science and Technology, Kowloon, Hong Kong.
Pei-Yuan Qian

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Proteomics is the large-scale study of the structure and function of proteins in complex biological sample. Such an approach has the potential value to understand the complex nature of the organism. Current proteomic tools allow large-scale, high-throughput analyses for the detection, identification, and functional investigation of proteome. Advances in protein fractionation and labeling techniques have improved protein identification to include the least abundant proteins. In addition, proteomics has been complemented by the analysis of posttranslational modifications and techniques for the quantitative comparison of different proteomes. However, the major limitation of proteomic investigations remains the complexity of biological structures and physiological processes, rendering the path of exploration paved with various difficulties and pitfalls. The quantity of data that is acquired with new techniques places new challenges on data processing and analysis. This article provides a brief overview of currently available proteomic techniques and their applications, followed by detailed description of advantages and technical challenges. Some solutions to circumvent technical difficulties are proposed.

Identifiers

PMID20948568
PMCPMC2950283

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.