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

Dasfne Lee-Liu*, Liangliang Sun

*Autor correspondiente de este trabajo

Producción científica: Capítulo del libro/informe/acta de congresoCapítulorevisión exhaustiva

Resumen

Mammals have a limited regenerative capacity, especially of the central nervous system. Consequently, any traumatic injury or neurodegenerative disease results in irreversible damage. An important approach to finding strategies to promote regeneration in mammals has been the study of regenerative organisms like Xenopus, the axolotl, and teleost fish. High-throughput technologies like RNA-Seq and quantitative proteomics are starting to provide valuable insight into the molecular mechanisms that drive nervous system regeneration in these organisms. In this chapter, we present a detailed protocol for performing iTRAQ proteomics that can be applied to the analysis of nervous system samples, using Xenopus laevis as an example. The quantitative proteomics protocol and directions for performing functional enrichment data analyses of gene lists (e.g., differentially abundant proteins from a proteomic study, or any type of high-throughput analysis) are aimed at the general bench biologist and do not require previous programming knowledge.

Idioma originalInglés
Título de la publicación alojadaMethods in Molecular Biology
EditorialHumana Press Inc.
Páginas343-366
Número de páginas24
DOI
EstadoPublicada - 2023

Serie de la publicación

NombreMethods in Molecular Biology
Volumen2636

Nota bibliográfica

Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.

Áreas temáticas de ASJC Scopus

  • Biología molecular
  • Genética

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