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Related Concept Videos

Proteomics01:33

Proteomics

7.2K
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...
7.2K

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Updated: Jun 13, 2025

Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification
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Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification

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Ultrafast Proteomics.

Ivan I Fedorov1,2, Sergey A Protasov1,2, Irina A Tarasova2

  • 1Moscow Institute of Physics and Technology (National University), Dolgoprudny, Moscow Region, 141700, Russia.

Biochemistry. Biokhimiia
|September 8, 2024
PubMed
Summary
This summary is machine-generated.

Ultrafast proteomics, driven by advances in mass spectrometry and AI, now enables rapid analysis of thousands of proteins across hundreds of samples daily. This breakthrough overcomes previous throughput limitations in biological and medical research.

Keywords:
mass spectrometrypeptidesproteinsproteomicsquantitative proteomicsultrafast analysis

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Area of Science:

  • Proteomics
  • Mass Spectrometry
  • Computational Biology
  • Biomedical Research

Background:

  • Traditional proteomics using mass spectrometry (MS) offers detailed protein identification and quantification but suffers from low throughput, hindering analysis of dynamic biological systems.
  • The need for high-throughput analysis is critical in fields like drug development, population screening, and personalized medicine, especially for understanding cellular heterogeneity and dynamics.
  • Previous limitations in speed conflicted with the dynamic nature of biological systems and the requirement to analyze large sample sets, including single-cell proteomes.

Purpose of the Study:

  • To review the technological advancements enabling a significant increase in proteomic analysis throughput.
  • To introduce and discuss the concept and implementation of ultrafast proteomics.
  • To highlight modern methods and approaches for rapid, whole-proteome analysis.

Main Methods:

  • Advancements in mass spectrometry technology, including high resolution and mass accuracy.
  • Development of predictive chromatography and novel peptide separation techniques like ion mobility.
  • Application of artificial intelligence (AI) algorithms for proteomic data processing.

Main Results:

  • Achieved proteome-wide analysis throughput of several hundred samples per day.
  • Enabled quantification of several thousand proteins per sample, a significant increase from previous capabilities.
  • Demonstrated the feasibility of ultrafast proteomics, overcoming historical speed limitations.

Conclusions:

  • Technological innovations have revolutionized proteomics, enabling unprecedented throughput.
  • Ultrafast proteomics is now a reality, facilitating large-scale studies previously unfeasible.
  • These advancements are poised to accelerate discoveries in biology, medicine, and personalized therapy.