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Fungal Secretomics Through iTRAQ-Based Analysis.

Lu Zheng1, Ruonan Wang1,2, Yuchen Fei1,2

  • 1State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, China.

Methods in Molecular Biology (Clifton, N.J.)
|June 28, 2024
PubMed
Summary
This summary is machine-generated.

This study presents a method for analyzing fungal secretomes. It details protein extraction and quantification using Isobaric Tandem Mass Spectrometry (iTRAQ) to understand fungal environmental responses.

Keywords:
FungiProteomicsSecreted proteinsUltrafiltrationiTRAQ-based secretome

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Area of Science:

  • Mycology
  • Proteomics
  • Environmental Science

Background:

  • Fungal secretomes are crucial for understanding fungal adaptation to diverse environments.
  • Low abundance and post-translational modifications of secreted proteins complicate analysis.
  • Enrichment of secreted proteins is essential for effective secretome analysis.

Purpose of the Study:

  • To present a protocol for quantitative secretome analysis in fungi.
  • To demonstrate the application of this protocol under varying environmental conditions.
  • To enhance the understanding of fungal responses to environmental stimuli through secretome data.

Main Methods:

  • Fungal secreted proteins were extracted using ultrafiltration and TCA-acetone precipitation.
  • Isobaric Tandem Mass Spectrometry (iTRAQ) was employed for quantitative proteomics.
  • The protocol facilitates identification and quantification of secreted proteins.

Main Results:

  • Successful extraction and enrichment of fungal secreted proteins were achieved.
  • iTRAQ analysis enabled quantitative comparison of secretomes under different conditions.
  • The study provides a framework for analyzing environmental influences on fungal secretomes.

Conclusions:

  • The described protocol effectively enriches and quantifies fungal secreted proteins.
  • This method aids in understanding fungal adaptation mechanisms to environmental changes.
  • Comprehensive secretome data can significantly advance fungal biology research.