Evidence map›Paper›PMID 24938631›Full record

ReviewNature reviews. Molecular cell biology2014

The emergence of proteome-wide technologies: systematic analysis of proteins comes of age.

Michal Breker, Maya Schuldiner

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Molecular cell biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

36 citing papers in PubMed.

  1. Article
  2. Article
  3. Attracting Computational Researchers to Proteomics.Journal of the American Society for Mass Spectrometry · 2024
    Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Single-cell analysis targeting the proteome.Nature reviews. Chemistry · 2020
    Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Spatial proteomics: a powerful discovery tool for cell biology.Nature reviews. Molecular cell biology · 2019
    Review
  15. Review
  16. Article
  17. Article
  18. Review
  19. Review
  20. 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.

Michal BrekerDepartment of Molecular Genetics, Weizmann Institute of Science, Rehovot 7610001, Israel.
Maya SchuldinerDepartment of Molecular Genetics, Weizmann Institute of Science, Rehovot 7610001, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

During the lifetime of a cell proteins can change their localization, alter their abundance and undergo modifications, all of which cannot be assayed by tracking mRNAs alone. Methods to study proteomes directly are coming of age, thereby opening new perspectives on the role of post-translational regulation in stabilizing the cellular milieu. Proteomics has undergone a revolution, and novel technologies for the systematic analysis of proteins have emerged. These methods can expand our ability to acquire information from single proteins to proteomes, from static to dynamic measures and from the population level to the level of single cells. Such approaches promise that proteomes will soon be studied at a similar level of dynamic resolution as has been the norm for transcriptomes.

Indexed as

Protein Processing, Post-TranslationalCombinatorial Chemistry TechniquesHumansProteinsProteolysisProteomicsProteins

Identifiers

PMID24938631

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.