Evidence map›Paper›PMID 22438580›Full record

ArticleMolecular biology of the cell2012

Characterizing the roles of Met31 and Met32 in coordinating Met4-activated transcription in the absence of Met30.

Emilio Carrillo, Giora Ben-Ari, Jan Wildenhain, Mike Tyers, Dilon Grammentz, Traci A Lee

Abstract read
In one paragraph

Article in Molecular biology of the cell, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
0.7field-weighted citation impact, top 31% 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

21 citing papers in PubMed, 36 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Cohesin Facilitates Nucleosome Invasion by Transcription Factors.bioRxiv : the preprint server for biology · 2025
    Article
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  7. Transcription Factor Condensates Mediate Clustering ofbioRxiv : the preprint server for biology · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. Cdc48 cofactor Shp1 regulates signal-induced SCFProceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Review
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  19. Identifying genetic modulators of the connectivity between transcription factors and their transcriptional targets.Proceedings of the National Academy of Sciences of the United States of America · 2016
    Article
  20. 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

6 authors at 3 institutions in 3 countries.

Emilio CarrilloDepartment of Biological Sciences, University of Wisconsin-Parkside, Kenosha, WI 53144, USA.
Giora Ben-Ari
Jan Wildenhain
Mike Tyers
Dilon Grammentz
Traci A Lee
University of Wisconsin–Parkside · USWellcome Centre for Cell Biology · GBAgricultural Research Organization · IL

Funding

Combinatorial control of Met4-activated transcriptionR15GM086847 · NIGMS · UNIVERSITY OF WISCONSIN PARKSIDE · PI LEE, TRACI A · 2011 to 2011
$289k
NIGMS NIH HHS R15 GM086847NIGMS NIH HHS R15GM086847Wellcome Trust 092076
6 · The paper itself

Abstract

Yeast sulfur metabolism is transcriptionally regulated by the activator Met4. Met4 lacks DNA-binding ability and relies on interactions with Met31 and Met32, paralogous proteins that bind the same cis-regulatory element, to activate its targets. Although Met31 and Met32 are redundant for growth in the absence of methionine, studies indicate that Met32 has a prominent role over Met31 when Met30, a negative regulator of Met4 and Met32, is inactive. To characterize different roles of Met31 and Met32 in coordinating Met4-activated transcription, we examined transcription in strains lacking either Met31 or Met32 upon Met4 induction in the absence of Met30. Microarray analysis revealed that transcripts involved in sulfate assimilation and sulfonate metabolism were dramatically decreased in met32Δ cells compared to its wild-type and met31Δ counterparts. Despite this difference, both met31Δ and met32Δ cells used inorganic sulfur compounds and sulfonates as sole sulfur sources in minimal media when Met30 was present. This discrepancy may be explained by differential binding of Met31 to Cbf1-dependent promoters between these two conditions. In the absence of Met30, genome-wide chromatin immunoprecipitation analyses found that Met32 bound all Met4-bound targets, supporting Met32 as the main platform for Met4 recruitment. Finally, Met31 and Met32 levels were differentially regulated, with Met32 levels mimicking the profile for active Met4. These different properties of Met32 likely contribute to its prominent role in Met4-activated transcription when Met30 is absent.

Indexed as

Transcriptional ActivationBase SequenceBasic-Leucine Zipper Transcription FactorsBinding SitesCluster AnalysisConsensus SequenceDNA-Binding ProteinsF-Box ProteinsGene Expression ProfilingGene Expression Regulation, FungalOligonucleotide Array Sequence AnalysisPhenotypePromoter Regions, GeneticProtein BindingSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsBasic-Leucine Zipper Transcription FactorsDNA-Binding ProteinsF-Box ProteinsMET30 protein, S cerevisiaeMet31 protein, S cerevisiaeMet32 protein, S cerevisiaeMET4 protein, S cerevisiaeSaccharomyces cerevisiae ProteinsSulfonic AcidsTranscription FactorsUbiquitin-Protein Ligase Complexes

Identifiers

PMID22438580
PMCPMC3350556
OpenAlexW2146796895

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.