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Updated: Mar 8, 2026

Organic Solvent-Based Protein Precipitation for Robust Proteome Purification Ahead of Mass Spectrometry
Published on: February 7, 2022
DrPISA: Deep eutectic solvent-assisted reverse proteome-integrated solubility alteration for high-sensitivity drug
Liu Yang1, Tian-Bo Ma1, Chen-Wan Guo1
1State Key Laboratory of Natural Medicines, School of Traditional Chinese Pharmacy, China Pharmaceutical University, Nanjing, 211198, PR China.
This study introduces deep eutectic solvent-assisted reverse PISA (DrPISA), a new method to analyze heat-aggregated proteins. DrPISA enhances proteome accessibility and target identification, expanding the scope of chemical proteomics.
Area of Science:
- Chemical proteomics
- Proteomics
- Drug discovery
Background:
- Traditional thermal stability-based proteomic methods like TPP and PISA primarily analyze soluble proteins, neglecting heat-induced aggregates.
- Conventional denaturants have limitations in solubilizing aggregated proteins and are not always compatible with proteomic workflows.
- There is a need for improved methods to access and analyze the insoluble proteome for comprehensive target identification.
Purpose of the Study:
- To develop a novel deep eutectic solvent (DES)-assisted reverse PISA (DrPISA) strategy.
- To enhance the accessibility of the insoluble proteome and improve detection sensitivity for thermal stability alterations.
- To overcome limitations of conventional denaturants in solubilizing heat-aggregated proteins.
Main Methods:
- Systematic evaluation of 65 DES formulations to identify optimal solubilization reagents for heat-aggregated proteomes.
- Integration of the optimal DES (DES-48) into a reverse PISA workflow.
- Application of a simplified six-temperature dimethyl labeling workflow for quantitative mass spectrometry.
- Utilizing DrPISA for target deconvolution and identification of protein interactions.
Main Results:
- DES-48 demonstrated superior solubilization of heat-aggregated proteomes compared to GuHCl and urea, identifying significantly more proteins.
- DrPISA enabled sensitive detection of early-stage protein aggregation events missed by soluble-focused assays.
- The method reproducibly identified known targets, increased kinase coverage, and detected subtle kinase responses.
- A simplified labeling workflow reduced reagent consumption and MS acquisition time by over 50%.
- Application to celastrol identified LULL1 as a previously under-recognized interacting protein.
Conclusions:
- DrPISA extends thermal profiling to insoluble protein fractions, outperforming conventional methods.
- The developed DES-48 reagent enhances the recovery and quantification of heat-aggregated proteins.
- DrPISA offers a scalable and sensitive approach for target deconvolution and broadens the scope of chemical proteomics.
- This strategy provides a practical complementary approach for expanding the landscape of discoverable drug-protein interactions.
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