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An Inflection Point in High-Throughput Proteomics with Orbitrap Astral: Analysis of Biofluids, Cells, and Tissues
Nathan G Hendricks1, Santosh D Bhosale1, Angel J Keoseyan1
1Precision Biomarker Laboratories, Cedars-Sinai Medical Center, Beverly Hills, California 90211, United States.
Journal of Proteome Research
|August 20, 2024
Summary
This study introduces a high-throughput proteomics workflow using Orbitrap and Astral mass analyzers. The method enhances protein identification in cells and tissues, aiding biomarker discovery and disease pathology research.
Area of Science:
- Proteomics
- Mass Spectrometry
- Biotechnology
Background:
- Advancements in mass spectrometry technology are crucial for comprehensive proteome analysis.
- Efficient and reproducible sample preparation is essential for high-throughput proteomics.
- Translational research requires robust workflows for analyzing diverse biological samples.
Purpose of the Study:
- To present a comprehensive proteomics workflow integrating Orbitrap and Astral mass analyzers.
- To demonstrate the effectiveness of Adaptive Focused Acoustics (AFA) and automated SP3 for sample preparation.
- To highlight the workflow's utility in biomarker discovery and disease pathology.
Main Methods:
- Utilized Orbitrap and Astral mass analyzers for proteomics analysis.
- Integrated Adaptive Focused Acoustics (AFA) for high-throughput cell and tissue lysis.
- Automated the detergent-compatible single-pot, solid-phase-enhanced sample Preparation (SP3) method for protein digestion.
Main Results:
- Achieved identification of over 10,000 proteins in cells and tissues (heart, liver, lung, intestine) with a 24-minute gradient using data-independent acquisition.
- Demonstrated high reproducibility, with over 80% of proteins showing a coefficient of variation (CV) less than 20% for HeLa digest injections.
- A 45-minute run identified approximately 90% of the expressed proteome, showcasing broad coverage.
Conclusions:
- The presented proteomics workflow is robust, high-throughput, and compatible with diverse sample types.
- This integrated approach significantly enhances protein identification capabilities for translational research.
- The workflow holds substantial potential for advancing biomarker discovery and understanding disease pathology.
Keywords:
Orbitrap AstralPBMCsautomationbiomarkerhigh-throughputmass spectrometrymissing proteinsplasma proteomicstissue proteomics
