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Updated: May 23, 2026

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Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification
Published on: November 15, 2017
[Pharmacoproteomic approach by quantitative targeted proteomics].
1Graduate School of Pharmaceutical Sciences, Tohoku University, Sendai, Japan. sohtsuki@ohtsuki-lab.jp
Summary
Quantitative targeted proteomics using multiplexed-multiple reaction monitoring (multiplexed-MRM) offers a bottom-up approach for efficient drug target identification. This method streamlines protein quantification for novel drug research, advancing pharmacoproteomics.
Area of Science:
- Proteomics
- Biomarker Discovery
- Pharmacology
Context:
- Traditional omics analyses face limitations in efficiently translating findings into drug development due to their top-down approach.
- The need for streamlined, quantitative protein analysis is critical for advancing drug discovery pipelines.
Purpose:
- To introduce the novel quantitative targeted proteomics method using multiplexed-multiple reaction monitoring (multiplexed-MRM).
- To highlight the technical advantages of multiplexed-MRM for bottom-up proteomics and protein quantification.
Summary:
- The multiplexed-MRM method enables bottom-up proteomics by selecting target proteins and peptides based on existing knowledge and sequence information, bypassing the need for antibody preparation or protein purification.
- This technique allows for simultaneous quantification of multiple proteins, overcoming limitations of antibody-based methods.
- Recent applications demonstrate its utility in analyzing species differences, in vitro-to-in vivo reconstruction, and personalized chemotherapy.
Impact:
- This novel protein quantification method accelerates drug target identification and biomarker discovery.
- It opens new avenues for drug research by enabling a 'Pharmacoproteomics' approach, focusing on protein-level insights.
- The method's efficiency and reduced reliance on traditional techniques promise to improve the translation of omics data into clinical applications.
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