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Updated: Dec 27, 2025

Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification
Published on: November 15, 2017
Full-Featured, Real-Time Database Searching Platform Enables Fast and Accurate Multiplexed Quantitative Proteomics
Devin K Schweppe1, Jimmy K Eng2, Qing Yu1
1Harvard Medical School, Department of Cell Biology, Cambridge, Massachusetts 02155, United States.
A new real-time database search (RTS) platform, Orbiter, significantly speeds up proteomic analysis. This method enhances quantitative accuracy and protein identification efficiency, enabling deeper biological insights from complex proteomes.
Area of Science:
- Proteomics
- Mass Spectrometry
- Computational Biology
Background:
- Multiplexed quantitative proteomic analyses are crucial for biological insights.
- The gold standard, SPS-MS3, has long acquisition cycles hindering efficiency.
- Need for faster, accurate methods in complex proteome analysis.
Purpose of the Study:
- To develop a real-time database search (RTS) platform, Orbiter, to overcome SPS-MS3's limitations.
- To improve the efficiency and accuracy of multiplexed quantitative proteomic experiments.
- To enable faster and more comprehensive protein quantification.
Main Methods:
- Developed Orbiter, a real-time database search (RTS) platform.
- Integrated RTS with Comet for peptide spectral matching and false discovery rate analysis.
- Implemented adaptive data acquisition triggered by spectral match results.
Main Results:
- Orbiter processed single spectrum database searches in under 10 ms.
- Achieved a 2-fold increase in mass spectrometric data acquisition efficiency.
- Quantified over 8000 proteins across 10 proteomes in 18 hours, half the time of SPS-MS3.
Conclusions:
- Orbiter's RTS platform significantly enhances proteomic analysis speed and efficiency.
- The method allows for accurate quantification and identification of post-translational modifications.
- This adaptive data acquisition strategy improves throughput for complex proteome studies.
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