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[Proteoforms: Methods of Analysis and Clinical Prospects].

O I Kiseleva1,2, A V Lisitsa1, E V Poverennaya1

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Personalized medicine utilizes proteomic analysis to understand individual biological differences. Identifying disease-associated proteoforms is key for developing novel biomarkers and targeted therapies.

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Area of Science:

  • Biochemistry
  • Molecular Medicine
  • Proteomics

Background:

  • Proteome analysis is crucial for understanding complex biochemical systems.
  • Personalized therapy requires understanding individual biological uniqueness at multiple molecular levels.
  • Identifying proteoforms is essential for personal molecular profiling and disease understanding.

Purpose of the Study:

  • To highlight the importance of proteomic analysis in personalized medicine.
  • To emphasize the role of proteoform identification in understanding disease phenotypes.
  • To discuss the potential of advanced proteomic approaches for biomarker discovery.

Main Methods:

  • Critical analysis of proteomes.
  • Personalized molecular profiling at genome, transcriptome, and proteome levels.
  • Leveraging progress in proteomic approaches for protein analysis.

Main Results:

  • Proteomic analysis provides a basis for understanding biochemical systems.
  • Personalized approaches in medicine are advancing through multi-omic profiling.
  • Advanced proteomic techniques enable accurate and high-performance protein analysis.

Conclusions:

  • Aberrant proteoforms are linked to various diseases.
  • Studies of disease-associated proteoforms can lead to the discovery of new biomarkers.
  • Proteoform identification is a fundamental task in personal molecular profiling for improved diagnostics and therapeutics.