Methods and systems for selective quantitation and detection of allergens including gly m 7

Abstract

The invention relates to methods and systems taking advantage of bioinformatic investigations to identify candidate signature peptides for quantitative multiplex analysis of complex protein samples from plants, plant parts, and/or food products using mass spectroscopy. Provided are use and methods for selecting candidate signature peptides for quantitation using a bioinformatic approach. Also provided are systems comprising a chromatography and mass spectrometry for using selected signature peptides.

1 - 22 . (canceled) 
     
     
         22 . A system for quantitating one or more protein of interest with known amino acid sequence in a plant-based sample, the system comprising:
 (a) a high-throughput means for extracting proteins from a plant-based sample;   (b) a process module for digesting extracted proteins with at least one protease;   (c) a separation module for separating peptides in a single step;   (d) a selection module for selecting a plurality of signature peptides for at least one known Gly m 7 allergen and potential allergens of SEQ ID NO:13-16; and   (e) a mass spectrometry for measuring the plurality of signature peptides of SEQ ID NO:32-43.   
     
     
         23 . The system of  claim 22 , wherein the separation module comprises a column chromatography. 
     
     
         24 . The system of  claim 23 , wherein the column chromatography comprises a liquid column chromatography. 
     
     
         25 . The system of  claim 22 , wherein the mass spectrometry comprises a high resolution accurate mass spectrometry (RAM MS). 
     
     
         26 . The system of  claim 22 , wherein the plant-based sample comprises a soybean seed or part of a soybean seed. 
     
     
         27 . A high-throughput method of quantitating at least one allergen with known amino acid sequence and homologous potential allergens in a plant-based sample, comprising using the system of  claim 22 .