Label-free LC-MS/MS identification of phosphatidylglycerol-regulated proteins in Synechocystis sp. PCC6803

Tatjana Talamantes, Bettina Ughy, Ildikó Domonkos, Mihály Kis, Zoltán Gombos, Laszlo Prokai

Research output: Contribution to journalArticle

7 Scopus citations

Abstract

We present a proteomics dataset combining SDS-PAGE prefractionation and data-dependent LC-MS/MS that enables the identification of phosphatidylglycerol-regulated proteins in the pgsA- mutant of Synechocystis sp. PCC6803, a cyanobacterium strain that grows with this indispensable phospholipid added exogenously. We searched the acquired raw data against a composite protein sequence database of Synechocystis using MASCOT, and employed Progenesis LC-MS software for label-free quantification based on extracted peptide intensities to detect changes in protein abundances upon phospholipid withdrawal. Protein identifications were validated using rigorous criteria, and our analysis of the dataset revealed 80 phosphatidylglycerol-regulated proteins involved in various cellular processes including photosynthesis, respiration, metabolism, transport, transcription, and translation. The data have been deposited to the ProteomeXchange with identifier PXD000363 (http://proteomecentral.proteomexchange.org/dataset/PXD000363).

Original languageEnglish
Pages (from-to)1053-1057
Number of pages5
JournalProteomics
Volume14
Issue number9
DOIs
StatePublished - May 2014

Keywords

  • Bioinformatics
  • Cyanobacteria
  • GeLC-MS/MS
  • Phosphatidylglycerol
  • Quantitative label-free proteomics
  • Synechocystis

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