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Data-independent acquisition-based quantitative proteomics in plants
Xin Chen1, Yu Chen1, Wen-Yao Zhang1
1State Key Laboratory for Development and Utilization of Forest Food Resources, College of Life Sciences, Nanjing Forestry University, Nanjing, China.
Frontiers in Plant Science
|August 7, 2026
Summary
Data-independent acquisition (DIA) proteomics offers a powerful method for plant science research. This technique enhances the study of plant growth, development, and defense mechanisms, advancing botanical understanding.
Area of Science:
- Plant biology
- Proteomics
- Biochemistry
Background:
- Data-independent acquisition (DIA) proteomics is a key technique for plant protein analysis.
- It is widely used to study protein dynamics in plant growth, development, and stress responses.
- DIA proteomics aids in discovering disease resistance proteins and plant defense pathways.
Purpose of the Study:
- To provide a comprehensive overview of DIA proteomics applications in plant science.
- To highlight its role in understanding plant biological processes and molecular mechanisms.
- To discuss future prospects and challenges in plant proteomics.
Main Methods:
- Review of existing literature on DIA proteomics in plant systems.
- Analysis of applications in plant growth, development, and stress studies.
- Focus on advancements in sensitivity, reproducibility, and throughput.
Main Results:
- DIA proteomics is crucial for comprehensive protein analysis in plants.
- It facilitates the discovery of novel disease resistance proteins and regulatory pathways.
- Methodological advancements are expanding its utility in botanical research.
Conclusions:
- DIA proteomics plays a pivotal role in advancing plant biological systems understanding.
- Continued development is essential for overcoming challenges and expanding applications.
- This approach is vital for future plant science research and discovery.
