Journal
FRONTIERS IN PLANT SCIENCE
Volume 3, Issue -, Pages -Publisher
FRONTIERS MEDIA SA
DOI: 10.3389/fpls.2012.00164
Keywords
selected reaction monitoring; multiple reaction monitoring; proteomics; transition; database; Arabidopsis; experimental design
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Funding
- BBSRC [BB/I00095X/1]
- Biotechnology and Biological Sciences Research Council [BB/I001131/1, BB/I00095X/1] Funding Source: researchfish
- BBSRC [BB/I001131/1, BB/I00095X/1] Funding Source: UKRI
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Selected reaction monitoring (SRM), sometimes called multiple reaction monitoring (MRM), is becoming the tool of choice for targeted quantitative proteomics in the plant science community. Key to a successful SRM experiment is prior identification of the distinct peptides for the proteins of interest and the determination of the so-called transitions that can be programmed into an LC-MS/MS to monitor those peptides. The transition for a given peptide comprises the intact peptide m/z and a high intensity product ion that can be monitored at a characteristic retention time (RT). To aid the design of SRM experiments, several online tools and databases have been produced to help researchers select transitions for their proteins of interest, but many of these tools are limited to the most popular model organisms such as human, yeast, and mouse or require the experimental acquisition of local spectral libraries. In this paper we present MRMaid(1), a web-based SRM assay design tool whose transitions are generated by mining the millions of identified peptide spectra held in the EBI's PRIDE database. By using data from this large public repository, MRMaid is able to cover a wide range of species that can increase as the coverage of PRIDE grows. In this paper MRMaid transitions for 25 Arabidopsis thaliana proteins are evaluated experimentally, and found capable of quantifying 23 of these proteins. This performance was found to be comparable with the more time consuming approach of designing transitions using locally acquired orbitrap data, indicating that MRMaid is a valuable tool for targeted Arabidopsis proteomics.
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