Datasets for transcriptomics, q-proteomics and phenotype microarrays of polyphosphate metabolism mutants from Escherichia coli

Macarena Varas, Camilo Valdivieso, Cecilia Mauriaca, Javiera Ortíz-Severín, Alberto Paradela, Ignacio Poblete-Castro, Ricardo Cabrera, Francisco P. Chávez

Resultado de la investigación: Article

Resumen

Here, we provide the dataset associated with our research article on the polyphosphate metabolism entitled, “Multi-level evaluation of Escherichia coli polyphosphate related mutants using global transcriptomic, proteomic and phenomic analyses”. By integrating different omics levels (transcriptome, proteome and phenome), we were able to study Escherichia coli polyphosphate mutant strains (Δppk1, Δppx, and Δppk1-ppx). We have compiled here all datasets from DNA microarrys, q-proteomic (Isotope-Coded Protein Labeling, ICPL) and phenomic (Phenotype microarray) raw data we have obtained in all polyP metabolism mutants.

Idioma originalEnglish
Páginas (desde-hasta)13-17
Número de páginas5
PublicaciónData in Brief
Volumen12
DOI
EstadoPublished - 1 jun 2017

Huella dactilar

evaluation

ASJC Scopus subject areas

  • Education
  • General

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Varas, Macarena ; Valdivieso, Camilo ; Mauriaca, Cecilia ; Ortíz-Severín, Javiera ; Paradela, Alberto ; Poblete-Castro, Ignacio ; Cabrera, Ricardo ; Chávez, Francisco P. / Datasets for transcriptomics, q-proteomics and phenotype microarrays of polyphosphate metabolism mutants from Escherichia coli. En: Data in Brief. 2017 ; Vol. 12. pp. 13-17.
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Datasets for transcriptomics, q-proteomics and phenotype microarrays of polyphosphate metabolism mutants from Escherichia coli. / Varas, Macarena; Valdivieso, Camilo; Mauriaca, Cecilia; Ortíz-Severín, Javiera; Paradela, Alberto; Poblete-Castro, Ignacio; Cabrera, Ricardo; Chávez, Francisco P.

En: Data in Brief, Vol. 12, 01.06.2017, p. 13-17.

Resultado de la investigación: Article

TY - JOUR

T1 - Datasets for transcriptomics, q-proteomics and phenotype microarrays of polyphosphate metabolism mutants from Escherichia coli

AU - Varas, Macarena

AU - Valdivieso, Camilo

AU - Mauriaca, Cecilia

AU - Ortíz-Severín, Javiera

AU - Paradela, Alberto

AU - Poblete-Castro, Ignacio

AU - Cabrera, Ricardo

AU - Chávez, Francisco P.

PY - 2017/6/1

Y1 - 2017/6/1

N2 - Here, we provide the dataset associated with our research article on the polyphosphate metabolism entitled, “Multi-level evaluation of Escherichia coli polyphosphate related mutants using global transcriptomic, proteomic and phenomic analyses”. By integrating different omics levels (transcriptome, proteome and phenome), we were able to study Escherichia coli polyphosphate mutant strains (Δppk1, Δppx, and Δppk1-ppx). We have compiled here all datasets from DNA microarrys, q-proteomic (Isotope-Coded Protein Labeling, ICPL) and phenomic (Phenotype microarray) raw data we have obtained in all polyP metabolism mutants.

AB - Here, we provide the dataset associated with our research article on the polyphosphate metabolism entitled, “Multi-level evaluation of Escherichia coli polyphosphate related mutants using global transcriptomic, proteomic and phenomic analyses”. By integrating different omics levels (transcriptome, proteome and phenome), we were able to study Escherichia coli polyphosphate mutant strains (Δppk1, Δppx, and Δppk1-ppx). We have compiled here all datasets from DNA microarrys, q-proteomic (Isotope-Coded Protein Labeling, ICPL) and phenomic (Phenotype microarray) raw data we have obtained in all polyP metabolism mutants.

KW - Phenomics

KW - Polyphosphate

KW - Q-proteomics

KW - Systems biology

KW - Transcriptomics

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EP - 17

JO - Data in Brief

JF - Data in Brief

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