Evidence map›Paper›PMID 21772262›Full record

ArticleMolecular systems biology2011

A dynamic model of proteome changes reveals new roles for transcript alteration in yeast.

M Violet Lee, Scott E Topper, Shane L Hubler, James Hose, Craig D Wenger, Joshua J Coon, Audrey P Gasch

Open access · goldAbstract read
In one paragraph

Article in Molecular systems biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 192 papers.

0numbers the graph read from it
0cells of the map it votes in
192citing papers in PubMed
13.8field-weighted citation impact, top 1% 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

192 citing papers in PubMed, 296 citations in OpenAlex.

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132 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

7 authors at 2 institutions in 1 country.

M Violet LeeDepartment of Chemistry, University of Wisconsin-Madison, Madison, WI, USA.
Scott E Topper
Shane L Hubler
James Hose
Craig D Wenger
Joshua J Coon
Audrey P Gasch
University of Wisconsin–Madison · USEnergy Center of Wisconsin · US

Funding

Institutional Training in the Genomic SciencesT32HG002760 · NHGRI · UNIVERSITY OF WISCONSIN-MADISON · PI Qiongshi Lu · 2003 to 2026
$17.7M
The Epigenotype of Human ES CellsP01GM081629 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI THOMSON, JAMES ALEXANDER · 2008 to 2012
$8.9M
Functional Genomics of Stress Defense in YeastR01GM083989 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI GASCH, AUDREY · 2008 to 2016
$3.0M
Sequential Ion/Ion Reactions for Large Peptide and Whole Protein CharacterizationR01GM080148 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI COON, JOSHUA J · 2007 to 2015
$3.0M
NHGRI NIH HHS T32 HG002760NHGRI NIH HHS T32HG002760NIGMS NIH HHS P01 GM081629NIGMS NIH HHS P01GM081629NIGMS NIH HHS R01 GM080148NIGMS NIH HHS R01GM080148NIGMS NIH HHS R01 GM083989
6 · The paper itself

Abstract

The transcriptome and proteome change dynamically as cells respond to environmental stress; however, prior proteomic studies reported poor correlation between mRNA and protein, rendering their relationships unclear. To address this, we combined high mass accuracy mass spectrometry with isobaric tagging to quantify dynamic changes in ~2500 Saccharomyces cerevisiae proteins, in biological triplicate and with paired mRNA samples, as cells acclimated to high osmolarity. Surprisingly, while transcript induction correlated extremely well with protein increase, transcript reduction produced little to no change in the corresponding proteins. We constructed a mathematical model of dynamic protein changes and propose that the lack of protein reduction is explained by cell-division arrest, while transcript reduction supports redistribution of translational machinery. Furthermore, the transient 'burst' of mRNA induction after stress serves to accelerate change in the corresponding protein levels. We identified several classes of post-transcriptional regulation, but show that most of the variance in protein changes is explained by mRNA. Our results present a picture of the coordinated physiological responses at the levels of mRNA, protein, protein-synthetic capacity, and cellular growth.

Indexed as

Chromatography, LiquidGene Expression ProfilingGene Expression Regulation, FungalModels, TheoreticalOligonucleotide Array Sequence AnalysisOsmolar ConcentrationProteomeProteomicsRNA, MessengerSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsTandem Mass SpectrometryProteomeRNA, MessengerSaccharomyces cerevisiae Proteins

Identifiers

PMID21772262
PMCPMC3159980
OpenAlexW2117875674

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.