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Towards the profiling of the Arabidopsis thaliana plasma membrane transportome by targeted proteomics
Author(s) -
Monneuse JeanMarc,
Sugano Madeleine,
Becue Thierry,
Santoni Véronique,
Hem Sonia,
Rossignol Michel
Publication year - 2011
Publication title -
proteomics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.26
H-Index - 167
eISSN - 1615-9861
pISSN - 1615-9853
DOI - 10.1002/pmic.201000660
Subject(s) - transporter , membrane , computational biology , arabidopsis thaliana , transcriptome , arabidopsis , atpase , gene isoform , biochemistry , biology , proteomics , chemistry , gene , gene expression , enzyme , mutant
Plant membranes bear a variety of transporters belonging to multigene families that are affected by environmental and nutritional conditions. In addition, they often display high‐sequence identity, making difficult in‐depth investigation by current shot‐gun strategies. In this study, we set up a targeted proteomics approach aimed at identifying and quantifying within single experiments the five major proton pumps of the autoinhibited H + ATPases (AHA) family, the 13 plasma membrane intrinsic proteins (PIP) water channels (PIPs), and ten members of ammonium transporters (AMTs) and nitrate transporter (NRT) families. Proteotypic peptides were selected and isotopically labeled heavy versions were used for technical optimization and for quantification of the corresponding light version in biological samples. This approach allowed to quantify simultaneously nine PIPs in leaf membranes and 13 PIPs together with three autoinhibited H + ATPases, two ammonium transporters, and two NRTs in root membranes. Similarly, it was used to investigate the effect of a salt stress on the expression of these latter 20 transporters in roots. These novel isoform‐specific data were compared with published transcriptome information and revealed a close correlation between PIP isoforms and transcripts levels. The obtained resource is reusable and can be expanded to other transporter families for large‐scale profiling of membrane transporters.