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Heat 'n Beat: A Universal High-Throughput End-to-End Proteomics Sample Processing Platform in under an Hour.
Dylan Xavier1, Natasha Lucas1, Steven G Williams1
1ProCan, Faculty of Medicine and Health, The University of Sydney, Children's Medical Research Institute, Westmead, NSW 2145, Australia.
Analytical Chemistry
|March 1, 2024
Summary
We developed Heat
Area of Science:
- Proteomics
- Mass Spectrometry
- Biochemistry
Background:
- High-throughput proteomic analysis of small solid tissue samples (≤2 mg) demands comprehensive coverage.
- Existing methods face challenges with diverse sample formats and require extensive preparation.
- Need for a rapid, robust, and universal sample preparation protocol for mass spectrometry.
Purpose of the Study:
- To develop a universal, rapid, and robust sample preparation protocol for high-throughput proteomic analysis.
- To optimize a one-tube homogenization and digestion method for diverse tissue types and fixation methods.
- To demonstrate the protocol's efficiency, yield, and consistency across various biological samples.
Main Methods:
- Developed the Heat 'n Beat (HnB) one-tube homogenization and digestion method.
- Adapted sample washing and peptide cleanup for fresh frozen (FF), FF-OCT, and FFPE tissues.
- Optimized tissue disruption, lysis, reduction, alkylation, and proteolysis into a single, rapid step.
Main Results:
- HnB protocol significantly increased peptide yield compared to previous methods.
- Achieved high digestion efficiency (85-90%) with core processing in 38 minutes (total 53-63 minutes).
- Demonstrated robustness on six organ types, a cell line, and a cancer biopsy.
- Successfully processed 1171 FF-OCT human cancer biopsies in 92 hours, yielding consistent results for 3513 MS runs.
Conclusions:
- The Heat 'n Beat (HnB) protocol provides a universal, rapid, and robust solution for high-throughput tissue proteomic analysis.
- The method is applicable to various tissue types and fixation methods, enhancing proteome coverage and efficiency.
- HnB significantly streamlines sample preparation, enabling large-scale proteomic studies with consistent, high-quality data.

