TMT-MS3-Enabled proteomic quantification of human IPSC-Derived neurons

Nikhil J. Pandya, David Avila, Tom Dunkley, Ravi Jagasia, Manuel Tzouros*

*Corresponding author for this work

Research output: Chapter in Book / Report / Conference proceedingChapterAcademicpeer-review

Abstract

The induced pluripotent stem cell (IPSC)-derived neurons technology has matured to a point where neurological disorders such as autism, schizophrenia, Alzheimer’s, and Parkinson’s disease can be reproducibly modeled. Proteomic analysis of these model systems has the potential to identify disease signatures, characterize treatment effects, and drive biomarker identification. Here we describe the implementation of a TMT-MS3-based proteomic workflow for the characterization of over 7000 proteins in whole cell lysates obtained from human IPSC-derived neurons. This multiplexing protocol should have a better reproducibility and higher number of assessed conditions than the label-free or SILAC-based proteomics approaches.

Original languageEnglish
Title of host publicationNeuroproteomics
EditorsKa Wan Li
PublisherHumana Press Inc.
Pages103-117
Number of pages15
Edition2nd
ISBN (Electronic)9781493996629
ISBN (Print)9781493996612
DOIs
Publication statusPublished - 2019

Publication series

NameNeuromethods
Volume146
ISSN (Print)0893-2336
ISSN (Electronic)1940-6045

Keywords

  • IPSC-derived neurons
  • MS
  • Orbitrap Lumos
  • Proteomics
  • Synchronous Precursor Selection
  • TMT

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