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Updated: Aug 8, 2025

Quantitative Mass Spectrometric Profiling of Cancer-cell Proteomes Derived From Liquid and Solid Tumors
Published on: February 27, 2015
Tandem mass tag-based thermal proteome profiling for the discovery of drug-protein interactions in cancer cells
Fraser D Johnson1, Christopher S Hughes2, Alvin Liu3
1Department of Integrative Oncology, BC Cancer Research Institute, Vancouver, BC, Canada; Canada's Michael Smith Genome Sciences Centre, BC Cancer Research Institute, Vancouver, BC, Canada.
Abstract:
Identification of effector targets is imperative to the characterization of the mechanisms of action of novel small molecules. Here, we describe steps to identify effector drug-protein interactions in lysates derived from cancer cell lines using a thermal proteome profiling (TPP) protocol. Building on existing TTP approaches, we detail the use of an in-solution trypsin digestion technique to streamline sample preparation, a nonparametric analysis to rank proteins for prioritization, and a follow-up strategy for identifying effector interactors. For complete details on the use and execution of this protocol, please refer to Johnson et al. (2022).1.
Insights
Identifying drug targets is crucial for understanding how small molecules work. This study presents a streamlined thermal proteome profiling (TPP) method to pinpoint drug-protein interactions in cancer cell lysates, aiding mechanism of action studies.
Area of Science:
- Pharmacology
- Proteomics
- Cancer Biology
Background:
- Characterizing small molecule mechanisms of action requires identifying effector targets.
- Novel small molecules are continuously being developed for therapeutic applications.
Purpose of the Study:
- To describe a refined thermal proteome profiling (TPP) protocol for identifying drug-protein interactions.
- To streamline sample preparation and protein prioritization for effector interactor identification.
Main Methods:
- Utilized thermal proteome profiling (TPP) on cancer cell line lysates.
- Implemented an in-solution trypsin digestion technique for efficient sample preparation.
- Employed nonparametric analysis for protein prioritization and follow-up interactor identification.
Main Results:
- The described TPP protocol facilitates the identification of effector drug-protein interactions.
- Streamlined sample preparation enhances the efficiency of the TPP workflow.
- Nonparametric analysis aids in prioritizing potential effector targets.
Conclusions:
- The presented TPP protocol offers a robust method for identifying drug targets.
- This approach is valuable for elucidating the mechanisms of action of novel small molecules in cancer research.
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