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Related Concept Videos

Proteomics01:33

Proteomics

A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term proteomics...

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Shotgun Proteomics Sample Processing Automated by an Open-Source Lab Robot
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Published on: October 28, 2021

iTRAQ-based shotgun neuroproteomics.

Tong Liu1, Jun Hu, Hong Li

  • 1Department of Biochemistry and Molecular Biology, University of Medicine and Dentistry of New Jersey, Newark, NJ, USA.

Methods in Molecular Biology (Clifton, N.J.)
|January 9, 2010
PubMed
Summary
This summary is machine-generated.

This study details a quantitative shotgun neuroproteomics method using isobaric tags (iTRAQ) for analyzing protein expression in the brain. The technique successfully identified differentially expressed proteins in a rat model of multiple sclerosis.

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Area of Science:

  • Neuroscience
  • Proteomics
  • Biochemistry

Background:

  • Shotgun proteomics is crucial for global protein expression analysis in neuronal systems.
  • Quantitative analysis requires robust methodologies for accurate protein identification and quantification.
  • Existing methods may need refinement for complex biological samples like those from the nervous system.

Purpose of the Study:

  • To present a detailed quantitative shotgun neuroproteomics workflow.
  • To enable relative and absolute protein quantitation using isobaric tags (iTRAQ).
  • To identify differentially expressed proteins in neurological disease models.

Main Methods:

  • Utilizing amine-specific isobaric tags for relative and absolute quantitation (iTRAQ).
  • Implementing two-dimensional liquid chromatography coupled with tandem mass spectrometry.
  • Performing rigorous database searching and statistical analysis for protein identification.

Main Results:

  • The iTRAQ-based workflow provides a comprehensive approach for neuroproteomics.
  • Differential protein expression was successfully identified in a rat model of experimental autoimmune encephalomyelitis.
  • The method demonstrated its efficacy in a complex neurological disease context.

Conclusions:

  • The described quantitative shotgun neuroproteomics method is effective for studying global protein expression in neuronal systems.
  • This workflow facilitates the identification of key proteins involved in neurological disorders.
  • The iTRAQ approach offers a valuable tool for advancing neuroproteomic research.