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Mass spectrometry for proteomics-based investigation.

Alisa G Woods1, Izabela Sokolowska, Armand G Ngounou Wetie

  • 1Biochemistry & Proteomics Group, Department of Chemistry & Biomolecular Science, Clarkson University, 8 Clarkson Avenue, Potsdam, NY, 13699-5810, USA.

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Summary

Mass spectrometry (MS) and proteomics have advanced, enabling identification of protein modifications, isoforms, and interactions beyond simple protein identification. These techniques are crucial for future scientific and clinical applications.

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Area of Science:

  • Biochemistry
  • Analytical Chemistry
  • Molecular Biology

Background:

  • Mass spectrometry (MS) and proteomics have undergone significant advancements in instrumentation, fractionation, and bioinformatics.
  • Current proteomics technology extends beyond basic protein identification to include characterization of post-translational modifications (PTMs), protein isoforms, truncations, and interactions.
  • There is a growing demand from scientists and clinicians for comprehensive proteomic data.

Purpose of the Study:

  • To describe the principles of MS and proteomics.
  • To outline strategies for identifying proteins, PTMs, isoforms, truncations, protein-protein interactions (PPIs), and protein quantitation.
  • To discuss the strengths and limitations of current MS-based proteomic approaches.

Main Methods:

  • Principles of mass spectrometry (MS) and proteomics.
  • Strategies for protein identification.
  • Methods for characterizing PTMs, isoforms, truncations, PPIs, and quantitation.

Main Results:

  • Detailed explanation of MS and proteomics principles.
  • Comprehensive overview of strategies for various protein analyses.
  • Discussion of the strengths and weaknesses of existing methodologies.

Conclusions:

  • Mass spectrometry and proteomics are essential tools for both scientific research and clinical diagnostics.
  • The field is rapidly evolving, with future applications expected in various medical conditions.
  • This work serves as an introduction to more specialized MS proteomic methodologies and related fields like lipidomics and metabolomics.