Evidence map›Paper›PMID 21933953›Full record

ArticleMolecular & cellular proteomics : MCP2011

Protein expression regulation under oxidative stress.

Christine Vogel, Gustavo Monteiro Silva, Edward M Marcotte

Open access · hybridAbstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 82 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
82citing papers in PubMed, 1 pooled it
3.4field-weighted citation impact, top 8% 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

82 citing papers in PubMed, 1 synthesis or guideline pooled it, 149 citations in OpenAlex.

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22 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

3 authors at 2 institutions in 1 country.

Christine VogelCenter for Genomics and Systems Biology, New York University, New York, New York 10003, USA. cvogel@nyu.edu
Gustavo Monteiro Silva
Edward M Marcotte
The University of Texas at Austin · USNew York University · US

Funding

Proteomics of widespread, reversible protein assemblies in aging and aggregationR01GM076536 · NIGMS · UNIVERSITY OF TEXAS AT AUSTIN · PI MARCOTTE, EDWARD M · 2006 to 2014
$2.9M
NIGMS NIH HHS R01 GM076536
6 · The paper itself

Abstract

Oxidative stress is known to affect both translation and protein turnover, but very few large scale studies describe protein expression under stress. We measure protein concentrations in Saccharomyces cerevisiae over the course of 2 h in response to a mild oxidative stress induced by diamide, providing detailed time-resolved information for 815 proteins, with additional data for another ~1,100 proteins. For the majority of proteins, we discover major differences between the global transcript and protein response. Although mRNA levels often return to baseline 1 h after treatment, protein concentrations continue to change. Integrating our data with features of translation and protein degradation, we are able to predict expression patterns for 41% of the proteins in the core data set. Predictive features include, among others, targeting by RNA-binding proteins (Lhp1 and Khd1), RNA secondary structures, RNA half-life, and translation efficiency under unperturbed conditions and in response to oxidative reagents, but not chaperone binding. We are able to both describe general dynamics of protein concentration changes and suggest possible regulatory mechanisms for individual proteins.

Indexed as

Gene Expression Regulation, FungalOxidative StressHalf-LifePeroxidasesProtein BiosynthesisProtein StabilityProteomeRNA StabilitySaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsTranscriptomePeroxidasesProteomeSaccharomyces cerevisiae ProteinsTsa1 protein, S cerevisiae

Identifiers

PMID21933953
PMCPMC3237073
OpenAlexW2107569237

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.