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Comparison of Quantitative Mass Spectrometric Methods for Drug Target Identification by Thermal Proteome Profiling
[Image: see text] Thermal proteome profiling (TPP) provides a powerful approach to studying proteome-wide interactions of small therapeutic molecules and their target and off-target proteins, complementing phenotypic-based drug screens. Detecting differences in thermal stability due to target engage...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10407934/ https://www.ncbi.nlm.nih.gov/pubmed/37439223 http://dx.doi.org/10.1021/acs.jproteome.3c00111 |
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author | George, Amy L. Sidgwick, Frances R. Watt, Jessica E. Martin, Mathew P. Trost, Matthias Marín-Rubio, José Luis Dueñas, Maria Emilia |
author_facet | George, Amy L. Sidgwick, Frances R. Watt, Jessica E. Martin, Mathew P. Trost, Matthias Marín-Rubio, José Luis Dueñas, Maria Emilia |
author_sort | George, Amy L. |
collection | PubMed |
description | [Image: see text] Thermal proteome profiling (TPP) provides a powerful approach to studying proteome-wide interactions of small therapeutic molecules and their target and off-target proteins, complementing phenotypic-based drug screens. Detecting differences in thermal stability due to target engagement requires high quantitative accuracy and consistent detection. Isobaric tandem mass tags (TMTs) are used to multiplex samples and increase quantification precision in TPP analysis by data-dependent acquisition (DDA). However, advances in data-independent acquisition (DIA) can provide higher sensitivity and protein coverage with reduced costs and sample preparation steps. Herein, we explored the performance of different DIA-based label-free quantification approaches compared to TMT-DDA for thermal shift quantitation. Acute myeloid leukemia cells were treated with losmapimod, a known inhibitor of MAPK14 (p38α). Label-free DIA approaches, and particularly the library-free mode in DIA-NN, were comparable of TMT-DDA in their ability to detect target engagement of losmapimod with MAPK14 and one of its downstream targets, MAPKAPK3. Using DIA for thermal shift quantitation is a cost-effective alternative to labeled quantitation in the TPP pipeline. |
format | Online Article Text |
id | pubmed-10407934 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-104079342023-08-09 Comparison of Quantitative Mass Spectrometric Methods for Drug Target Identification by Thermal Proteome Profiling George, Amy L. Sidgwick, Frances R. Watt, Jessica E. Martin, Mathew P. Trost, Matthias Marín-Rubio, José Luis Dueñas, Maria Emilia J Proteome Res [Image: see text] Thermal proteome profiling (TPP) provides a powerful approach to studying proteome-wide interactions of small therapeutic molecules and their target and off-target proteins, complementing phenotypic-based drug screens. Detecting differences in thermal stability due to target engagement requires high quantitative accuracy and consistent detection. Isobaric tandem mass tags (TMTs) are used to multiplex samples and increase quantification precision in TPP analysis by data-dependent acquisition (DDA). However, advances in data-independent acquisition (DIA) can provide higher sensitivity and protein coverage with reduced costs and sample preparation steps. Herein, we explored the performance of different DIA-based label-free quantification approaches compared to TMT-DDA for thermal shift quantitation. Acute myeloid leukemia cells were treated with losmapimod, a known inhibitor of MAPK14 (p38α). Label-free DIA approaches, and particularly the library-free mode in DIA-NN, were comparable of TMT-DDA in their ability to detect target engagement of losmapimod with MAPK14 and one of its downstream targets, MAPKAPK3. Using DIA for thermal shift quantitation is a cost-effective alternative to labeled quantitation in the TPP pipeline. American Chemical Society 2023-07-13 /pmc/articles/PMC10407934/ /pubmed/37439223 http://dx.doi.org/10.1021/acs.jproteome.3c00111 Text en © 2023 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by/4.0/Permits the broadest form of re-use including for commercial purposes, provided that author attribution and integrity are maintained (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | George, Amy L. Sidgwick, Frances R. Watt, Jessica E. Martin, Mathew P. Trost, Matthias Marín-Rubio, José Luis Dueñas, Maria Emilia Comparison of Quantitative Mass Spectrometric Methods for Drug Target Identification by Thermal Proteome Profiling |
title | Comparison
of Quantitative Mass Spectrometric Methods
for Drug Target Identification by Thermal Proteome Profiling |
title_full | Comparison
of Quantitative Mass Spectrometric Methods
for Drug Target Identification by Thermal Proteome Profiling |
title_fullStr | Comparison
of Quantitative Mass Spectrometric Methods
for Drug Target Identification by Thermal Proteome Profiling |
title_full_unstemmed | Comparison
of Quantitative Mass Spectrometric Methods
for Drug Target Identification by Thermal Proteome Profiling |
title_short | Comparison
of Quantitative Mass Spectrometric Methods
for Drug Target Identification by Thermal Proteome Profiling |
title_sort | comparison
of quantitative mass spectrometric methods
for drug target identification by thermal proteome profiling |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10407934/ https://www.ncbi.nlm.nih.gov/pubmed/37439223 http://dx.doi.org/10.1021/acs.jproteome.3c00111 |
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