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A proteomic platform to identify off-target proteins associated with therapeutic modalities that induce protein degradation or gene silencing
Novel modalities such as PROTAC and RNAi have the ability to inadvertently alter the abundance of endogenous proteins. Currently available in vitro secondary pharmacology assays, which evaluate off-target binding or activity of small molecules, do not fully assess the off-target effects of PROTAC an...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8338952/ https://www.ncbi.nlm.nih.gov/pubmed/34349202 http://dx.doi.org/10.1038/s41598-021-95354-3 |
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author | Liu, Xin Zhang, Ye Ward, Lucas D. Yan, Qinghong Bohnuud, Tanggis Hernandez, Rocio Lao, Socheata Yuan, Jing Fan, Fan |
author_facet | Liu, Xin Zhang, Ye Ward, Lucas D. Yan, Qinghong Bohnuud, Tanggis Hernandez, Rocio Lao, Socheata Yuan, Jing Fan, Fan |
author_sort | Liu, Xin |
collection | PubMed |
description | Novel modalities such as PROTAC and RNAi have the ability to inadvertently alter the abundance of endogenous proteins. Currently available in vitro secondary pharmacology assays, which evaluate off-target binding or activity of small molecules, do not fully assess the off-target effects of PROTAC and are not applicable to RNAi. To address this gap, we developed a proteomics-based platform to comprehensively evaluate the abundance of off-target proteins. First, we selected off-target proteins using genetics and pharmacology evidence. This process yielded 2813 proteins, which we refer to as the “selected off-target proteome” (SOTP). An iterative algorithm was then used to identify four human cell lines out of 932. The 4 cell lines collectively expressed ~ 80% of the SOTP based on transcriptome data. Second, we used mass spectrometry to quantify the intracellular and extracellular proteins from the selected cell lines. Among over 10,000 quantifiable proteins identified, 1828 were part of the predefined SOTP. The SOTP was designed to be easily modified or expanded, owing to the rational selection process developed and the label free LC–MS/MS approach chosen. This versatility inherent to our platform is essential to design fit-for-purpose studies that can address the dynamic questions faced in investigative toxicology. |
format | Online Article Text |
id | pubmed-8338952 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-83389522021-08-05 A proteomic platform to identify off-target proteins associated with therapeutic modalities that induce protein degradation or gene silencing Liu, Xin Zhang, Ye Ward, Lucas D. Yan, Qinghong Bohnuud, Tanggis Hernandez, Rocio Lao, Socheata Yuan, Jing Fan, Fan Sci Rep Article Novel modalities such as PROTAC and RNAi have the ability to inadvertently alter the abundance of endogenous proteins. Currently available in vitro secondary pharmacology assays, which evaluate off-target binding or activity of small molecules, do not fully assess the off-target effects of PROTAC and are not applicable to RNAi. To address this gap, we developed a proteomics-based platform to comprehensively evaluate the abundance of off-target proteins. First, we selected off-target proteins using genetics and pharmacology evidence. This process yielded 2813 proteins, which we refer to as the “selected off-target proteome” (SOTP). An iterative algorithm was then used to identify four human cell lines out of 932. The 4 cell lines collectively expressed ~ 80% of the SOTP based on transcriptome data. Second, we used mass spectrometry to quantify the intracellular and extracellular proteins from the selected cell lines. Among over 10,000 quantifiable proteins identified, 1828 were part of the predefined SOTP. The SOTP was designed to be easily modified or expanded, owing to the rational selection process developed and the label free LC–MS/MS approach chosen. This versatility inherent to our platform is essential to design fit-for-purpose studies that can address the dynamic questions faced in investigative toxicology. Nature Publishing Group UK 2021-08-04 /pmc/articles/PMC8338952/ /pubmed/34349202 http://dx.doi.org/10.1038/s41598-021-95354-3 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Liu, Xin Zhang, Ye Ward, Lucas D. Yan, Qinghong Bohnuud, Tanggis Hernandez, Rocio Lao, Socheata Yuan, Jing Fan, Fan A proteomic platform to identify off-target proteins associated with therapeutic modalities that induce protein degradation or gene silencing |
title | A proteomic platform to identify off-target proteins associated with therapeutic modalities that induce protein degradation or gene silencing |
title_full | A proteomic platform to identify off-target proteins associated with therapeutic modalities that induce protein degradation or gene silencing |
title_fullStr | A proteomic platform to identify off-target proteins associated with therapeutic modalities that induce protein degradation or gene silencing |
title_full_unstemmed | A proteomic platform to identify off-target proteins associated with therapeutic modalities that induce protein degradation or gene silencing |
title_short | A proteomic platform to identify off-target proteins associated with therapeutic modalities that induce protein degradation or gene silencing |
title_sort | proteomic platform to identify off-target proteins associated with therapeutic modalities that induce protein degradation or gene silencing |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8338952/ https://www.ncbi.nlm.nih.gov/pubmed/34349202 http://dx.doi.org/10.1038/s41598-021-95354-3 |
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