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Experimental strategies to improve drug-target identification in mass spectrometry-based thermal stability assays.
Phaneuf, Clifford G; Aizikov, Konstantin; Grinfeld, Dmitry; Kreutzmann, Arne; Mourad, Daniel; Lange, Oliver; Dai, Daniel; Zhang, Bailin; Belenky, Alexei; Makarov, Alexander A; Ivanov, Alexander R.
Affiliation
  • Phaneuf CG; Barnett Institute of Chemical and Biological Analysis, Department of Chemistry and Chemical Biology, Northeastern University, Boston, MA, USA.
  • Aizikov K; Sanofi, Disease Profiling and Functional Genomics, Cambridge, MA, USA.
  • Grinfeld D; Thermo Fisher Scientific, Bremen, Germany.
  • Kreutzmann A; Thermo Fisher Scientific, Bremen, Germany.
  • Mourad D; Thermo Fisher Scientific, Bremen, Germany.
  • Lange O; Thermo Fisher Scientific, Bremen, Germany.
  • Dai D; Thermo Fisher Scientific, Bremen, Germany.
  • Zhang B; Sanofi, Disease Profiling and Functional Genomics, Cambridge, MA, USA.
  • Belenky A; Sanofi, Disease Profiling and Functional Genomics, Cambridge, MA, USA.
  • Makarov AA; Tarmeta Biosciences, Natick, MA, USA.
  • Ivanov AR; Thermo Fisher Scientific, Bremen, Germany.
Commun Chem ; 6(1): 64, 2023 Apr 06.
Article in En | MEDLINE | ID: mdl-37024568
ABSTRACT
Mass spectrometry (MS)-based thermal stability assays have recently emerged as one of the most promising solutions for the identification of protein-ligand interactions. Here, we have investigated eight combinations of several recently introduced MS-based advancements, including the Phase-Constrained Spectral Deconvolution Method, Field Asymmetric Ion Mobility Spectrometry, and the implementation of a carrier sample as improved MS-based acquisition approaches for thermal stability assays (iMAATSA). We used intact Jurkat cells treated with a commercially available MEK inhibitor, followed by heat treatment, to prepare a set of unfractionated isobarically-labeled proof-of-concept samples to compare the performance of eight different iMAATSAs. Finally, the best-performing iMAATSA was compared to a conventional approach and evaluated in a fractionation experiment. Improvements of up to 82% and 86% were demonstrated in protein identifications and high-quality melting curves, respectively, over the conventional approach in the proof-of-concept study, while an approximately 12% improvement in melting curve comparisons was achieved in the fractionation experiment.

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Diagnostic_studies Language: En Journal: Commun Chem Year: 2023 Document type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Diagnostic_studies Language: En Journal: Commun Chem Year: 2023 Document type: Article Affiliation country: United States