Ernesto Perez-Rueda

Dr. Ernesto Perez-Rueda


Research Focus & Metrics

Academic Career Length

29Years (1998-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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2 November 2015 in Nucleic Acids Research
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Journal Article
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SGSocorro Gama-Castro
Socorro Gama-Castro
HSHeladia Salgado
Heladia Salgado
ASAlberto Santos-Zavaleta
Alberto Santos-Zavaleta
DLDaniela Ledezma-Tejeida
Daniela Ledezma-Tejeida
LMLuis Muñiz-Rascado
Luis Muñiz-Rascado
JCJulio Collado-Vides
Julio Collado-Vides
RegulonDB (http://regulondb.ccg.unam.mx) is one of the most useful and important resources on bacterial gene regulation,as it integrates the scattered scientific knowledge of the best-characterized organism, Escherichia coli K-12, in a database that organizes large amounts of data. Its electronic format enables researchers to compare their results with the legacy of previous knowledge and supports bioinformatics tools and model building. Here, we summarize our progress with RegulonDB since our last Nucleic Acids Research publication describing RegulonDB, in 2013. In addition to maintaining curation up-to-date, we report a collection of 232 interactions with small RNAs affecting 192 genes, and the complete repertoire of 189 Elementary Genetic Sensory-Response units (GENSOR units), integrating the signal, regulatory interactions, and metabolic pathways they govern. These additions represent major progress to a higher level of understanding of regulated processes. We have updated the computationally predicted transcription factors, which total 304 (184 with experimental evidence and 120 from computational predictions); we updated our position-weight matrices and have included tools for clustering them in evolutionary families. We describe our semiautomatic strategy to accelerate curation, including datasets from high-throughput experiments, a novel coexpression distance to search for ‘neighborhood’ genes to known operons and regulons, and computational developments.

15 April 2000 in Nucleic Acids Research
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Journal Article
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EPErnesto Perez-Rueda
Ernesto Perez-Rueda
JCJulio Collado-Vides
Julio Collado-Vides
Using a combination of several approaches we estimated and characterized a total of 314 regulatory DNA-binding proteins in Escherichia coli, which might represent its minimal set of transcription factors. The collection is comprised of 35% activators, 43% repressors and 22% dual regulators. Within many regulatory protein families, the members are homogeneous in their regulatory roles, physiology of regulated genes, regulatory function, length and genome position, showing that these families have evolved homogeneously in prokaryotes, particularly in E.coli. This work describes a full characterization of the repertoire of regulatory interactions in a whole living cell. This repertoire should contribute to the interpretation of global gene expression profiles in both prokaryotes and eukaryotes.

1 January 2001 in Nucleic Acids Research
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Journal Article
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HSHeladia Salgado
Heladia Salgado
ASAlberto Santos-Zavaleta
Alberto Santos-Zavaleta
SGSocorro Gama-Castro
Socorro Gama-Castro
DMDulce Millán-Zárate
Dulce Millán-Zárate
EDEdgar Díaz-Peredo
Edgar Díaz-Peredo
JCJulio Collado-Vides
Julio Collado-Vides
RegulonDB is a database on mechanisms of transcription regulation and operon organization in Escherichia coli K-12. The current version has considerably increased numbers of regulatory elements such as promoters, binding sites and terminators. The complete repertoire of known and predicted DNA-binding transcriptional regulators can be considered to be included in this version. The database now distinguishes different allosteric conformations of regulatory proteins indicating the one active in binding and regulating the different promoters. A new set of operon predictions has been incorporated. The relational design has been modified accordingly. Furthermore, a major improvement is a graphic display enabling browsing of the database with a Java-based graphic user interface with three zoom-levels connected to properties of each chromo­somal element. The purpose of these modifications is to make RegulonDB a useful tool and control set for tran­scriptome experiments. RegulonDB can be accessed on the web at the URL: http://www.cifn.unam.mx/Computational_Biology/regulondb/

1 July 2013 in Bioengineered
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Journal Article
Open access
STSilvia Tenorio-Salgado
Silvia Tenorio-Salgado
RTRaunel Tinoco
Raunel Tinoco
Rafael Vazquez-DuhaltRafael Vazquez-Duhalt
Rafael Vazquez-Duhalt
JCJesus Caballero-Mellado
Jesus Caballero-Mellado
EPErnesto Perez-Rueda
Ernesto Perez-Rueda
It has been documented that bacteria from the Burkholderia genera produce different kinds of compounds that inhibit plant pathogens, however in Burkholderia tropica, an endophytic diazotrophic and ...

3 April 2018 in PLOS ONE
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Journal Article
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EPErnesto Perez-Rueda
Ernesto Perez-Rueda
RHRafael Hernandez-Guerrero
Rafael Hernandez-Guerrero
MNMario Alberto Martínez Núñez
Mario Alberto Martínez Núñez
DADagoberto Armenta-Medina
Dagoberto Armenta-Medina
ISIsrael Sanchez
Israel Sanchez
JIJose Antonio Ibarra
Jose Antonio Ibarra
Gene regulation at the transcriptional level is a central process in all organisms, and DNA-binding transcription factors, known as TFs, play a fundamental role. This class of proteins usually binds at specific DNA sequences, activating or repressing gene expression. In general, TFs are composed of two domains: the DNA-binding domain (DBD) and an extra domain, which in this work we have named “companion domain” (CD). This latter could be involved in one or more functions such as ligand binding, protein-protein interactions or even with enzymatic activity. In contrast to DBDs, which have been widely characterized both experimentally and bioinformatically, information on the abundance, distribution, variability and possible role of the CDs is scarce. Here, we investigated these issues associated with the domain architectures of TFs in prokaryotic genomes. To this end, 19 families of TFs in 761 non-redundant bacterial and archaeal genomes were evaluated. In this regard we found four main groups based on the abundance and distribution in the analyzed genomes: i) LysR and TetR/AcrR; ii) AraC/XylS, SinR, and others; iii) Lrp, Fis, ArsR, and others; and iv) a group that included only two families, ArgR and BirA. Based on a classification of the organisms according to the life-styles, a major abundance of regulatory families in free-living organisms, in contrast with pathogenic, extremophilic or intracellular organisms, was identified. Finally, the protein architecture diversity associated to the 19 families considering a weight score for domain promiscuity evidenced which regulatory families were characterized by either a large diversity of CDs, here named as “promiscuous” families given the elevated number of variable domains found in those TFs, or a low diversity of CDs. Altogether this information helped us to understand the diversity and distribution of the 19 Prokaryotes TF families. Moreover, initial steps were taken to comprehend the variability of the extra domain in those TFs, which eventually might assist in evolutionary and functional studies.

1 January 2013 in BMC Genomics
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Journal Article
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JIJose Antonio Ibarra
Jose Antonio Ibarra
EPErnesto Perez-Rueda
Ernesto Perez-Rueda
RCRonan K Carroll
Ronan K Carroll
LSLindsey Shaw
Lindsey Shaw
Staphylococcus aureus is a widely distributed human pathogen capable of infecting almost every ecological niche of the host. As a result, it is responsible for causing many different diseases. S. aureus has a vast array of virulence determinants whose expression is modulated by an intricate regulatory network, where transcriptional factors (TFs) are the primary elements. In this work, using diverse sequence analysis, we evaluated the repertoire of TFs and sigma factors in the community-associated methicillin resistant S. aureus (CA-MRSA) strain USA300-FPR3757.