» Articles » PMID: 27148277

Quantitation of Vacuolar Sugar Transporter Abundance Changes Using QconCAT Synthtetic Peptides

Overview
Journal Front Plant Sci
Date 2016 May 6
PMID 27148277
Citations 4
Authors
Affiliations
Soon will be listed here.
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.

Citing Articles

TMT proteomics analysis of a pseudocereal crop, quinoa ( Willd.), during seed maturation.

Shen Z, Xu S, Huang Q, Li Z, Xu Y, Lin C Front Plant Sci. 2022; 13:975073.

PMID: 36426144 PMC: 9678934. DOI: 10.3389/fpls.2022.975073.


Salt and Drought Stress Responses in Cultivated Beets ( L.) and Wild Beet ( L.).

Yolcu S, Alavilli H, Ganesh P, Panigrahy M, Song K Plants (Basel). 2021; 10(9).

PMID: 34579375 PMC: 8472689. DOI: 10.3390/plants10091843.


Absolute Quantification of Major Photosynthetic Protein Complexes in Using Quantification Concatamers (QconCATs).

Hammel A, Zimmer D, Sommer F, Muhlhaus T, Schroda M Front Plant Sci. 2018; 9:1265.

PMID: 30214453 PMC: 6125352. DOI: 10.3389/fpls.2018.01265.


Monitoring of Plant Protein Post-translational Modifications Using Targeted Proteomics.

Arsova B, Watt M, Usadel B Front Plant Sci. 2018; 9:1168.

PMID: 30174677 PMC: 6107839. DOI: 10.3389/fpls.2018.01168.

References
1.
Krasensky J, Jonak C . Drought, salt, and temperature stress-induced metabolic rearrangements and regulatory networks. J Exp Bot. 2012; 63(4):1593-608. PMC: 4359903. DOI: 10.1093/jxb/err460. View

2.
Braisted J, Kuntumalla S, Vogel C, Marcotte E, Rodrigues A, Wang R . The APEX Quantitative Proteomics Tool: generating protein quantitation estimates from LC-MS/MS proteomics results. BMC Bioinformatics. 2008; 9:529. PMC: 2639435. DOI: 10.1186/1471-2105-9-529. View

3.
Rivers J, Simpson D, Robertson D, Gaskell S, Beynon R . Absolute multiplexed quantitative analysis of protein expression during muscle development using QconCAT. Mol Cell Proteomics. 2007; 6(8):1416-27. DOI: 10.1074/mcp.M600456-MCP200. View

4.
Martinoia E, Maeshima M, Neuhaus H . Vacuolar transporters and their essential role in plant metabolism. J Exp Bot. 2006; 58(1):83-102. DOI: 10.1093/jxb/erl183. View

5.
Medici A, Laloi M, Atanassova R . Profiling of sugar transporter genes in grapevine coping with water deficit. FEBS Lett. 2014; 588(21):3989-97. DOI: 10.1016/j.febslet.2014.09.016. View