Evidence map›Paper›PMID 24170807›Full record

ArticleNucleic acids research2014

The YEASTRACT database: an upgraded information system for the analysis of gene and genomic transcription regulation in Saccharomyces cerevisiae.

Miguel Cacho Teixeira, Pedro Tiago Monteiro, Joana Fernandes Guerreiro, Joana Pinho Gonçalves, Nuno Pereira Mira, Sandra Costa dos Santos, Tânia Rodrigues Cabrito, Margarida Palma, Catarina Costa, Alexandre Paulo Francisco and 4 more

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 127 papers.

0numbers the graph read from it
0cells of the map it votes in
127citing papers in PubMed
14.7field-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

127 citing papers in PubMed, 222 citations in OpenAlex.

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  13. Regulation of sphingolipid synthesis by the G1/S transcription factor Swi4.Biochimica et biophysica acta. Molecular and cell biology of lipids · 2021
    Article
  14. Article
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67 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

14 authors at 4 institutions in 1 country.

Miguel Cacho TeixeiraInstituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, 1049-001 Lisbon, Portugal; IBB-Institute for Biotechnology and BioEngineering, Centre for Biological and Chemical Engineering, Biological Sciences Research Group, Av. Rovisco Pais, 1049-001 Lisbon, Portugal and INESC-ID, Knowledge Discovery and Bioinformatics Group, R. Alves Redol, 9, 1000-029 Lisbon, Portugal.
Pedro Tiago Monteiro
Joana Fernandes Guerreiro
Joana Pinho Gonçalves
Nuno Pereira Mira
Sandra Costa dos Santos
Tânia Rodrigues Cabrito
Margarida Palma
Catarina Costa
Alexandre Paulo Francisco
Sara Cordeiro Madeira
Arlindo Limede Oliveira
Ana Teresa Freitas
Isabel Sá-Correia
Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento · PTUniversity of Lisbon · PTInstituto Politécnico de Lisboa · PTInstitute for Biotechnology and Bioengineering · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The YEASTRACT (http://www.yeastract.com) information system is a tool for the analysis and prediction of transcription regulatory associations in Saccharomyces cerevisiae. Last updated in June 2013, this database contains over 200,000 regulatory associations between transcription factors (TFs) and target genes, including 326 DNA binding sites for 113 TFs. All regulatory associations stored in YEASTRACT were revisited and new information was added on the experimental conditions in which those associations take place and on whether the TF is acting on its target genes as activator or repressor. Based on this information, new queries were developed allowing the selection of specific environmental conditions, experimental evidence or positive/negative regulatory effect. This release further offers tools to rank the TFs controlling a gene or genome-wide response by their relative importance, based on (i) the percentage of target genes in the data set; (ii) the enrichment of the TF regulon in the data set when compared with the genome; or (iii) the score computed using the TFRank system, which selects and prioritizes the relevant TFs by walking through the yeast regulatory network. We expect that with the new data and services made available, the system will continue to be instrumental for yeast biologists and systems biology researchers.

Indexed as

Databases, GeneticGene Expression Regulation, FungalBinding SitesDNA, FungalGene Regulatory NetworksGenome, FungalInternetRegulatory Elements, TranscriptionalSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsSoftwareTranscription FactorsDNA, FungalSaccharomyces cerevisiae ProteinsTranscription Factors

Identifiers

PMID24170807
PMCPMC3965121
OpenAlexW2085707114

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.