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JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
Published on: October 19, 2021
Towards a better understanding of nuclear processes based on proteomics
Ry Y Tweedie-Cullen1, Isabelle M Mansuy
1Department of Biology of the ETH Zurich and Medical Faculty of the University Zurich, 8057, Zurich, Switzerland. ry@hifo.uzh.ch
Amino Acids
|August 24, 2010
Summary
High-throughput mass spectrometry methods enable the study of protein post-translational modifications (PTMs) in the brain. This review details techniques for analyzing these critical regulatory processes in nuclear functions.
Area of Science:
- Neuroscience
- Biochemistry
- Proteomics
Background:
- The brain's complexity necessitates high-throughput methods for studying functional alterations in health and disease.
- Protein post-translational modifications (PTMs) are crucial for nervous system function but remain understudied.
- PTMs regulate gene expression by modulating nuclear proteins and the transcriptional machinery.
Purpose of the Study:
- To provide a synopsis of high-throughput mass spectrometry (MS) methods for studying protein PTMs and expression.
- To cover fundamental concepts of traditional 'shot-gun' MS.
- To describe classical and emerging proteomic approaches for analyzing nuclear processes in the brain.
Main Methods:
- High-throughput mass spectrometry (MS) based proteomics.
- Traditional 'shot-gun' MS techniques.
- Advanced methods including multiple reaction monitoring and electron transfer dissociation.
Main Results:
- The review outlines available MS-based methods for PTM and protein expression analysis.
- It covers basic principles of various proteomic approaches.
- Specific applications to nuclear processes in the brain are discussed.
Conclusions:
- High-throughput MS offers powerful tools for investigating PTMs in the brain.
- Understanding PTMs is critical for comprehending brain function and dysfunction.
- Further application of these proteomic techniques will advance neuroscience research.
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