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

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Original languageEnglish
Pages (from-to)13-17
Number of pages5
JournalData in Brief
Volume12
DOIs
Publication statusPublished - 1 Jun 2017

Keywords

  • Phenomics
  • Polyphosphate
  • Q-proteomics
  • Systems biology
  • Transcriptomics

ASJC Scopus subject areas

  • General

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