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Tandem mass tag-based thermal proteome profiling for the discovery of drug-protein interactions in cancer cells
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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9860163/ https://www.ncbi.nlm.nih.gov/pubmed/36856765 http://dx.doi.org/10.1016/j.xpro.2022.102012 |
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author | Johnson, Fraser D. Hughes, Christopher S. Liu, Alvin Lockwood, William W. Morin, Gregg B. |
author_facet | Johnson, Fraser D. Hughes, Christopher S. Liu, Alvin Lockwood, William W. Morin, Gregg B. |
author_sort | Johnson, Fraser D. |
collection | PubMed |
description | 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) |
format | Online Article Text |
id | pubmed-9860163 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-98601632023-01-22 Tandem mass tag-based thermal proteome profiling for the discovery of drug-protein interactions in cancer cells Johnson, Fraser D. Hughes, Christopher S. Liu, Alvin Lockwood, William W. Morin, Gregg B. STAR Protoc Protocol 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) Elsevier 2023-01-13 /pmc/articles/PMC9860163/ /pubmed/36856765 http://dx.doi.org/10.1016/j.xpro.2022.102012 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Protocol Johnson, Fraser D. Hughes, Christopher S. Liu, Alvin Lockwood, William W. Morin, Gregg B. Tandem mass tag-based thermal proteome profiling for the discovery of drug-protein interactions in cancer cells |
title | Tandem mass tag-based thermal proteome profiling for the discovery of drug-protein interactions in cancer cells |
title_full | Tandem mass tag-based thermal proteome profiling for the discovery of drug-protein interactions in cancer cells |
title_fullStr | Tandem mass tag-based thermal proteome profiling for the discovery of drug-protein interactions in cancer cells |
title_full_unstemmed | Tandem mass tag-based thermal proteome profiling for the discovery of drug-protein interactions in cancer cells |
title_short | Tandem mass tag-based thermal proteome profiling for the discovery of drug-protein interactions in cancer cells |
title_sort | tandem mass tag-based thermal proteome profiling for the discovery of drug-protein interactions in cancer cells |
topic | Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9860163/ https://www.ncbi.nlm.nih.gov/pubmed/36856765 http://dx.doi.org/10.1016/j.xpro.2022.102012 |
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