On the utility of ultrafast MS1-only proteomics in drug target discovery studies based on thermal proteome profiling method.
Ivan I FedorovJulia A BubisElizaveta M KazakovaAnna A LobasMark V IvanovDaria D EmekeevaIrina A TarasovaAlexey A NazarovMikhail V GorshkovPublished in: Analytical and bioanalytical chemistry (2024)
Advances in high-throughput high-resolution mass spectrometry and the development of thermal proteome profiling approach (TPP) have made it possible to accelerate a drug target search. Since its introduction in 2014, TPP quickly became a method of choice in chemical proteomics for identifying drug-to-protein interactions on a proteome-wide scale and mapping the pathways of these interactions, thus further elucidating the unknown mechanisms of action of a drug under study. However, the current TPP implementations based on tandem mass spectrometry (MS/MS), associated with employing lengthy peptide separation protocols and expensive labeling techniques for sample multiplexing, limit the scaling of this approach for the ever growing variety of drug-to-proteomes. A variety of ultrafast proteomics methods have been developed in the last couple of years. Among them, DirectMS1 provides MS/MS-free quantitative proteome-wide analysis in 5-min time scale, thus opening the way for sample-hungry applications, such as TPP. In this work, we demonstrate the first implementation of the TPP approach using the ultrafast proteome-wide analysis based on DirectMS1. Using a drug topotecan, which is a known topoisomerase I (TOP1) inhibitor, the feasibility of the method for identifying drug targets at the whole proteome level was demonstrated for an ovarian cancer cell line.
Keyphrases
- ms ms
- mass spectrometry
- liquid chromatography
- high throughput
- tandem mass spectrometry
- high resolution mass spectrometry
- ultra high performance liquid chromatography
- adverse drug
- high resolution
- primary care
- drug induced
- high performance liquid chromatography
- emergency department
- small molecule
- gas chromatography
- label free
- decision making
- electronic health record
- amino acid
- protein protein