Evidence map›Paper›PMID 24423446›Full record

ReviewAntioxidants & redox signaling2014

Characterizing the dynamics of proteasome complexes by proteomics approaches.

Robyn M Kaake, Athit Kao, Clinton Yu, Lan Huang

Abstract readReview
In one paragraph

Review in Antioxidants & redox signaling, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.7field-weighted citation impact, top 29% of its field
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

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Proteasome: Role in T Cell Function Regulation.International journal of biological sciences · 2025
    Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
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

4 authors at 1 institution in 1 country.

Robyn M KaakeDepartment of Physiology and Biophysics, University of California , Irvine, Irvine, California.
Athit Kao
Clinton Yu
Lan Huang
University of California, Irvine · US

Funding

Proteomics of the Proteasome Interacting NetworksR01GM074830 · NIGMS · UNIVERSITY OF CALIFORNIA-IRVINE · PI HUANG, LAN · 2005 to 2022
$6.1M
In Vivo Interactome and Dynamics of Cullin-Ring LigasesR01GM106003 · NIGMS · UNIVERSITY OF CALIFORNIA-IRVINE · PI HUANG, LAN, RYCHNOVSKY, SCOTT D. · 2013 to 2016
$772k
Function and Regulation of the CSN in the NF-kB Activation PathwayR21CA161807 · NCI · UNIVERSITY OF CALIFORNIA-IRVINE · PI HUANG, LAN · 2012 to 2013
$358k
NCI NIH HHS R21 CA161807NCI NIH HHS R21CA161807NIGMS NIH HHS R01 GM074830NIGMS NIH HHS R01GM074830NIGMS NIH HHS R01 GM106003NIGMS NIH HHS R01GM106003
6 · The paper itself

Abstract

significanceThe proteasome is the degradation machine of the ubiquitin-proteasome system, which is critical in controlling many essential biological processes. Aberrant regulation of proteasome-dependent protein degradation can lead to various human diseases, and general proteasome inhibitors have shown efficacy for cancer treatments. Though clinically effective, current proteasome inhibitors have detrimental side effects and, thus, better therapeutic strategies targeting proteasomes are needed. Therefore, a comprehensive characterization of proteasome complexes will provide the molecular details that are essential for developing new and improved drugs. RECENT ADVANCES: New mass spectrometry (MS)-based proteomics approaches have been developed to study protein interaction networks and structural topologies of proteasome complexes. The results have helped define the dynamic proteomes of proteasome complexes, thus providing new insights into the mechanisms underlying proteasome function and regulation. CRITICAL ISSUES: The proteasome exists as heterogeneous populations in tissues/cells, and its proteome is highly dynamic and complex. In addition, proteasome complexes are regulated by various mechanisms under different physiological conditions. Consequently, complete proteomic profiling of proteasome complexes remains a major challenge for the field. FUTURE DIRECTIONS: We expect that proteomic methodologies enabling full characterization of proteasome complexes will continue to evolve. Further advances in MS instrumentation and protein separation techniques will be needed to facilitate the detailed proteomic analysis of low-abundance components and subpopulations of proteasome complexes. The results will help us understand proteasome biology as well as provide new therapeutic targets for disease diagnostics and treatment.

Indexed as

ProteomicsMass SpectrometryProteasome Endopeptidase ComplexProteasome Endopeptidase Complex

Identifiers

PMID24423446
PMCPMC4241863
OpenAlexW2332230112

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.