Related Experiment Video
Updated: Mar 17, 2026

12:29
mRNA Interactome Capture from Plant Protoplasts
Published on: July 28, 2017
9.7K
Isobaric Tag for Relative and Absolute Quantitation (iTRAQ)-Based Protein Profiling in Plants
Isabel Cristina Vélez-Bermúdez1, Tuan-Nan Wen1, Ping Lan1,2
1Institute of Plant and Microbial Biology, Academia Sinica, Taipei, Taiwan.
Methods in Molecular Biology (Clifton, N.J.)
|July 19, 2016
Summary
We adapted Isobaric tags for relative and absolute quantitation (iTRAQ) technology for plant proteomics. This method identified over 12,000 Arabidopsis proteins, advancing quantitative proteome analysis in plants.
Area of Science:
- Proteomics
- Plant Biology
- Mass Spectrometry
Background:
- Isobaric tags for relative and absolute quantitation (iTRAQ) is a mass spectrometry-based proteomics technique.
- iTRAQ enables quantitative analysis of proteins by labeling primary amines of peptides.
- Adapting iTRAQ for plant samples is crucial for advancing plant proteome research.
Purpose of the Study:
- To adapt and validate the iTRAQ experimental protocol for plant proteomic analysis.
- To enable high-throughput identification and quantitation of plant proteins.
- To establish a reliable method for quantitative proteome studies in Arabidopsis.
Main Methods:
- Adaptation of the iTRAQ protocol for plant protein extraction and labeling.
- Utilizing tandem mass spectrometry for peptide identification and quantitation.
- Statistical analysis to ensure a low false discovery rate.
Main Results:
- Successful adaptation of the iTRAQ protocol for plant samples.
- Identification and quantitation of over 12,000 proteins in Arabidopsis.
- Achieved a false discovery rate of less than 5% for protein identification.
Conclusions:
- The adapted iTRAQ protocol is effective for large-scale plant proteome quantitation.
- This method provides a robust platform for studying quantitative proteome changes in plants.
- The findings facilitate deeper understanding of plant biological processes through quantitative proteomics.

