Evidence map›Paper›PMID 20445003›Full record

ReviewMolecular & cellular proteomics : MCP2010

Profiling of protein interaction networks of protein complexes using affinity purification and quantitative mass spectrometry.

Robyn M Kaake, Xiaorong Wang, Lan Huang

Abstract readReview
In one paragraph

Review in Molecular & cellular proteomics : MCP, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing 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

45 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Probing HMolecular & cellular proteomics : MCP · 2019
    Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Upregulation of GSK3β Contributes to Brain Disorders in Elderly REGγ-knockout Mice.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2016
    Article
  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

3 authors.

Robyn M KaakeDepartment of Physiology and Biophysics, University of California, Irvine, California 92697-4560, USA.
Xiaorong Wang
Lan Huang

Funding

Proteomics of the Proteasome Interacting NetworksR01GM074830 · NIGMS · UNIVERSITY OF CALIFORNIA-IRVINE · PI HUANG, LAN · 2005 to 2022
$6.1M
NIGMS NIH HHS GM-74830NIGMS NIH HHS R01 GM074830
6 · The paper itself

Abstract

Protein-protein interactions are important for nearly all biological processes, and it is known that aberrant protein-protein interactions can lead to human disease and cancer. Recent evidence has suggested that protein interaction interfaces describe a new class of attractive targets for drug development. Full characterization of protein interaction networks of protein complexes and their dynamics in response to various cellular cues will provide essential information for us to understand how protein complexes work together in cells to maintain cell viability and normal homeostasis. Affinity purification coupled with quantitative mass spectrometry has become the primary method for studying in vivo protein interactions of protein complexes and whole organism proteomes. Recent developments in sample preparation and affinity purification strategies allow the capture, identification, and quantification of protein interactions of protein complexes that are stable, dynamic, transient, and/or weak. Current efforts have mainly focused on generating reliable, reproducible, and high confidence protein interaction data sets for functional characterization. The availability of increasing amounts of information on protein interactions in eukaryotic systems and new bioinformatics tools allow functional analysis of quantitative protein interaction data to unravel the biological significance of the identified protein interactions. Existing studies in this area have laid a solid foundation toward generating a complete map of in vivo protein interaction networks of protein complexes in cells or tissues.

Indexed as

Chromatography, AffinityDatabases, ProteinMass SpectrometryMultiprotein ComplexesProtein Interaction MappingSoftwareMultiprotein Complexes

Identifiers

PMID20445003
PMCPMC2938061

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.