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Quantitative inner membrane proteome datasets of the wild-type and the Δmin mutant of Escherichia coli.
Liang, Suh-Yuen; Lin, Shu-Yu; Chiang, I-Chen; Shih, Yu-Ling.
Afiliação
  • Liang SY; Institute of Biological Chemistry, Academia Sinica, Taipei 115, Taiwan.
  • Lin SY; Institute of Biological Chemistry, Academia Sinica, Taipei 115, Taiwan.
  • Chiang IC; Institute of Biological Chemistry, Academia Sinica, Taipei 115, Taiwan.
  • Shih YL; Institute of Biological Chemistry, Academia Sinica, Taipei 115, Taiwan; Institute of Biochemical Sciences, National Taiwan University, Taipei 106, Taiwan; Department of Microbiology, College of Medicine, National Taiwan University, Taipei 100, Taiwan.
Data Brief ; 8: 304-7, 2016 Sep.
Article em En | MEDLINE | ID: mdl-27331106
ABSTRACT
This article presents data that were obtained through measuring the impact of the Min oscillation on membrane proteins in Escherichia coli by quantitative protemoics analysis. We isolated inner membranes from the wild-type and mutant strains to generate proteomics datasets based on NanoLC-nanoESI-MS/MS mass spectrometry using the isobaric tags for relative and absolute quantitation (iTRAQ) method. The datasets included the raw spectral files from four sample replicates and the processed files using Proteome Discoverer that contained a total of 40,072 MS/MS spectra with confident peptide identifier (FDR<0.01) and the peak intensity of the reporter ions. The data was further filtered, which resulted in an inner membrane proteome of unique proteins with quantitation. Proteins of interest, that show significant difference in protein abundance of the mutant membrane, were isolated through statistical filtering. The data is related to "Quantitative proteomics analysis reveals the Min system of Escherichia coli modulates reversible protein association with the inner membrane" (Lee et al., 2016 [1]).
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: Data Brief Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Taiwan

Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: Data Brief Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Taiwan