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Updated: Sep 25, 2025
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Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification
Published on: November 15, 2017
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An overview of technologies for MS-based proteomics-centric multi-omics
Andrew T Rajczewski1, Pratik D Jagtap1, Timothy J Griffin1
1Department of Biochemistry, Molecular and Cell Biology Building, University of Minnesota, Minneapolis, MN, USA.
Expert Review of Proteomics
|April 25, 2022
Summary
Mass spectrometry-based proteomics offers deep molecular insights. Integrating this proteomic data with other omics layers, like genomics, provides a comprehensive understanding of complex biological systems and disease mechanisms.
Area of Science:
- Biochemistry
- Genomics
- Proteomics
- Systems Biology
Background:
- Mass spectrometry-based proteomics identifies molecular signatures in biological systems.
- Proteomics provides a single layer of molecular information, complemented by genomics, epigenomics, transcriptomics, and metabolomics.
- Multi-omic analysis integrates data from various molecular layers for a holistic view of biological systems.
Purpose of the Study:
- To review advancements in mass spectrometry-based proteomics for deep and quantitative proteome characterization.
- To discuss the integration of proteomics with other omics data for a comprehensive understanding of biological systems.
- To highlight the role of bioinformatics in enabling multi-omic discoveries.
Main Methods:
- Focus on peptide-based, bottom-up mass spectrometry approaches.
- Improvements in quantitative proteomic data generation.
- Development of bioinformatics software and approaches for multi-omic data integration.
Main Results:
- Advances in mass spectrometry enable deep, quantitative characterization of complex proteomes.
- Integration of proteomics with other omics data provides a more complete picture of biological systems.
- Current bioinformatics tools facilitate the integration of multi-omic datasets.
Conclusions:
- Multi-omics, particularly integrating proteomics with other omics, holds immense promise for biological and biomedical research.
- Continued progress in proteomic technologies and bioinformatics tools will drive increasing discoveries.
- Multi-omic studies are crucial for a comprehensive understanding of dynamic biological systems.
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