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

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 (