Evidence map›Paper›PMID 24210615›Full record

ArticleCurrent biology : CB2013

Msn2 coordinates a stoichiometric gene expression program.

Jacob Stewart-Ornstein, Christopher Nelson, Joe DeRisi, Jonathan S Weissman, Hana El-Samad

Open access · bronzeAbstract read
In one paragraph

Article in Current biology : CB, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

39 citing papers in PubMed, 63 citations in OpenAlex.

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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

5 authors at 2 institutions in 1 country.

Jacob Stewart-OrnsteinDepartment of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA 94143, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94143,USA; Howard Hughes Medical Institute, St. Louis, MO 63110, USA; The California Institute for Quantitative Biosciences, Berkeley, CA 94720, USA. Electronic address: jacob_stewart-ornstein@hms.harvard.edu.
Christopher Nelson
Joe DeRisi
Jonathan S Weissman
Hana El-Samad
QB3 · USHoward Hughes Medical Institute · US

Funding

Rewiring Therapeutic Cells: User-Controlled T Cells and Stem CellsP50GM081879 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LIM, WENDELL A · 2010 to 2017
$19.0M
Howard Hughes Medical InstituteNIGMS NIH HHS P50 GM081879
6 · The paper itself

Abstract

backgroundMany cellular processes operate in an "analog" regime in which the magnitude of the response is precisely tailored to the intensity of the stimulus. In order to maintain the coherence of such responses, the cell must provide for proportional expression of multiple target genes across a wide dynamic range of induction states. Our understanding of the strategies used to achieve graded gene regulation is limited.

resultsIn this work, we document a relationship between stress-responsive gene expression and the transcription factor Msn2 that is graded over a large range of Msn2 concentrations. We use computational modeling and in vivo and in vitro analyses to dissect the roots of this relationship. Our studies reveal a simple and general strategy based on noncooperative low-affinity interactions between Msn2 and its cognate binding sites as well as competition over a large number of Msn2 binding sites in the genome relative to the number of Msn2 molecules.

conclusionsIn addition to enabling precise tuning of gene expression to the state of the environment, this strategy ensures colinear activation of target genes, allowing for stoichiometric expression of large groups of genes without extensive promoter tuning. Furthermore, such a strategy enables precise modulation of the activity of any given promoter by addition of binding sites without altering the qualitative relationship between different genes in a regulon. This feature renders a given regulon highly "evolvable."

Indexed as

Base SequenceBinding SitesComputational BiologyCyclic Nucleotide Phosphodiesterases, Type 2DNA-Binding ProteinsGene Expression Regulation, FungalPromoter Regions, GeneticProtein BindingRibosomal ProteinsSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsSequence Analysis, DNAStress, PhysiologicalTranscription FactorsTranscription, GeneticCyclic Nucleotide Phosphodiesterases, Type 2DNA-Binding ProteinsMSN2 protein, S cerevisiaeRibosomal ProteinsRPS22A protein, S cerevisiaeSaccharomyces cerevisiae ProteinsTranscription Factors

Identifiers

PMID24210615
PMCPMC4072881
OpenAlexW2067389920

What OpenQuestion holds

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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.