Quantitative Proteomics of Nervous System Regeneration: From Sample Preparation to Functional Data Analyses

Area of Science:

• Neuroscience
• Regenerative Biology
• Proteomics

Background:

• Mammalian central nervous system regeneration is limited, leading to permanent damage from injury or disease.
• Studying highly regenerative organisms offers insights into promoting mammalian regeneration.
• High-throughput technologies like RNA-Seq and proteomics are crucial for understanding regeneration mechanisms.

Purpose of the Study:

• To present a detailed protocol for iTRAQ (isobaric Tandem Masss Spectrometry) proteomics.
• To enable the analysis of nervous system samples for regeneration studies.
• To provide a method applicable to model organisms like Xenopus laevis.

Main Methods:

• Detailed protocol for iTRAQ quantitative proteomics.
• Application to nervous system tissue samples.
• Functional enrichment analysis of gene lists from high-throughput studies.

Main Results:

• The protocol provides a method for quantitative proteomic analysis of nervous system regeneration.
• It facilitates the identification of molecular players involved in regeneration.
• The method is designed for accessibility to bench biologists without programming expertise.

Conclusions:

• Quantitative proteomics, specifically iTRAQ, is a valuable tool for studying nervous system regeneration.
• This protocol empowers researchers to investigate regeneration mechanisms in model organisms.
• The findings contribute to developing strategies for enhancing mammalian neural repair.