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Quantitation of Vacuolar Sugar Transporter Abundance Changes Using QconCAT Synthtetic Peptides.


ABSTRACT: Measurements of protein abundance changes are important for biological conclusions on protein-related processes such as activity or complex formation. Proteomic analyses in general are almost routine tasks in many laboratories, but a precise and quantitative description of (absolute) protein abundance changes require careful experimental design and precise data quality. Today, a vast choice of metabolic labeling and label-free quantitation protocols are available, but the trade-off between quantitative precision and proteome coverage of quantified proteins including missing value problems remain. Here, we provide an example of a targeted proteomic approach using artificial standard proteins consisting of concatenated peptides of interest (QconCAT) to specifically quantify abiotic stress-induced abundance changes in low abundant vacuolar transporters. An advantage of this approach is the reliable quantitation of alimited set of low-abundant target proteins throughout different conditions. We show that vacuolar ATPase AVP1 and sugar transporters of the ERDL (early responsive to dehydration-like) family and TMT2 (tonoplast monosaccharide transporter 2) showed increased abundance upon salt stress.

SUBMITTER: Pertl-Obermeyer H 

PROVIDER: S-EPMC4828444 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature

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Quantitation of Vacuolar Sugar Transporter Abundance Changes Using QconCAT Synthtetic Peptides.

Pertl-Obermeyer Heidi H   Trentmann Oliver O   Duscha Kerstin K   Neuhaus H Ekkehard HE   Schulze Waltraud X WX  

Frontiers in plant science 20160412


Measurements of protein abundance changes are important for biological conclusions on protein-related processes such as activity or complex formation. Proteomic analyses in general are almost routine tasks in many laboratories, but a precise and quantitative description of (absolute) protein abundance changes require careful experimental design and precise data quality. Today, a vast choice of metabolic labeling and label-free quantitation protocols are available, but the trade-off between quant  ...[more]

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