Evidence map›Paper›PMID 40747251›Full record

ArticleCurrent opinion in toxicology2016

Dissecting the Keap1/Nrf2 pathway through proteomics.

Tigist Y Tamir, Kathleen M Mulvaney, M Ben Major

Abstract read
In one paragraph

Article in Current opinion in toxicology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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.

Tigist Y TamirDepartment of Pharmacology and the Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.
Kathleen M MulvaneyDepartment of Cell Biology and Physiology, and the Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.
M Ben MajorDepartment of Pharmacology and the Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.

Funding

The Role of Protein Kinases in NRF2-driven Lung Squamous Cell CarcinomaR01CA216051 · NCI · WASHINGTON UNIVERSITY · PI MAJOR, MICHAEL BENJAMIN, WEISSMAN, BERNARD E. · 2018 to 2022
$2.5M
NCI NIH HHS R01 CA216051
6 · The paper itself

Abstract

Mass spectrometry-based proteomic technologies continue to illuminate the mechanism(s) and physiological importance of the KEAP1/NRF2 antioxidant signaling pathway. Proteomic analysis of the KEAP1 and NRF2 protein complex has revealed associated proteins and post-translational modifications, which together support new modes of regulation and therapeutic intervention opportunities for prevention and treatment. Emerging proteomic data depict a highly interconnected signaling network containing numerous co-complexed proteins and post-translational modifications, the majority of which are of unknown functional significance. In this review, we have compiled the literature and public domain to produce protein interaction networks for KEAP1 and NRF2. Selected interacting proteins and their possible functional implications are covered. We also curated available proteomic datasets to create a comprehensive map of various post-translational modifications on KEAP1 and NRF2. Together, this evaluation illustrates the power of mass spectrometry-based protein sequencing to understand the signaling components and dynamics of the KEAP1-NRF2 pathway. Current challenges and future directions for mass spectrometry in antioxidant signaling are discussed.

Indexed as

E3 ubiquitin ligaseKEAP1Mass spectrometryNRF2Oxidative stressPost-translational modificationProtein interaction networkProteomics

Identifiers

PMID40747251
PMCPMC12313314

What OpenQuestion holds

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Registered trials

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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.