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GigaAssay – An adaptable high-throughput saturation mutagenesis assay platform
High-throughput assay systems have had a large impact on understanding the mechanisms of basic cell functions. However, high-throughput assays that directly assess molecular functions are limited. Herein, we describe the “GigaAssay”, a modular high-throughput one-pot assay system for measuring molec...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9420302/ https://www.ncbi.nlm.nih.gov/pubmed/35905834 http://dx.doi.org/10.1016/j.ygeno.2022.110439 |
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author | Benjamin, Ronald Giacoletto, Christopher J. FitzHugh, Zachary T. Eames, Danielle Buczek, Lindsay Wu, Xiaogang Newsome, Jacklyn Han, Mira V. Pearson, Tony Wei, Zhi Banerjee, Atoshi Brown, Lancer Valente, Liz J. Shen, Shirley Deng, Hong-Wen Schiller, Martin R. |
author_facet | Benjamin, Ronald Giacoletto, Christopher J. FitzHugh, Zachary T. Eames, Danielle Buczek, Lindsay Wu, Xiaogang Newsome, Jacklyn Han, Mira V. Pearson, Tony Wei, Zhi Banerjee, Atoshi Brown, Lancer Valente, Liz J. Shen, Shirley Deng, Hong-Wen Schiller, Martin R. |
author_sort | Benjamin, Ronald |
collection | PubMed |
description | High-throughput assay systems have had a large impact on understanding the mechanisms of basic cell functions. However, high-throughput assays that directly assess molecular functions are limited. Herein, we describe the “GigaAssay”, a modular high-throughput one-pot assay system for measuring molecular functions of thousands of genetic variants at once. In this system, each cell was infected with one virus from a library encoding thousands of Tat mutant proteins, with each viral particle encoding a random unique molecular identifier (UMI). We demonstrate proof of concept by measuring transcription of a GFP reporter in an engineered reporter cell line driven by binding of the HIV Tat transcription factor to the HIV long terminal repeat. Infected cells were flow-sorted into 3 bins based on their GFP fluorescence readout. The transcriptional activity of each Tat mutant was calculated from the ratio of signals from each bin. The use of UMIs in the GigaAssay produced a high average accuracy (95%) and positive predictive value (98%) determined by comparison to literature benchmark data, known C-terminal truncations, and blinded independent mutant tests. Including the substitution tolerance with structure/function analysis shows restricted substitution types spatially concentrated in the Cys-rich region. Tat has abundant intragenic epistasis (10%) when single and double mutants are compared. |
format | Online Article Text |
id | pubmed-9420302 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
record_format | MEDLINE/PubMed |
spelling | pubmed-94203022022-08-28 GigaAssay – An adaptable high-throughput saturation mutagenesis assay platform Benjamin, Ronald Giacoletto, Christopher J. FitzHugh, Zachary T. Eames, Danielle Buczek, Lindsay Wu, Xiaogang Newsome, Jacklyn Han, Mira V. Pearson, Tony Wei, Zhi Banerjee, Atoshi Brown, Lancer Valente, Liz J. Shen, Shirley Deng, Hong-Wen Schiller, Martin R. Genomics Article High-throughput assay systems have had a large impact on understanding the mechanisms of basic cell functions. However, high-throughput assays that directly assess molecular functions are limited. Herein, we describe the “GigaAssay”, a modular high-throughput one-pot assay system for measuring molecular functions of thousands of genetic variants at once. In this system, each cell was infected with one virus from a library encoding thousands of Tat mutant proteins, with each viral particle encoding a random unique molecular identifier (UMI). We demonstrate proof of concept by measuring transcription of a GFP reporter in an engineered reporter cell line driven by binding of the HIV Tat transcription factor to the HIV long terminal repeat. Infected cells were flow-sorted into 3 bins based on their GFP fluorescence readout. The transcriptional activity of each Tat mutant was calculated from the ratio of signals from each bin. The use of UMIs in the GigaAssay produced a high average accuracy (95%) and positive predictive value (98%) determined by comparison to literature benchmark data, known C-terminal truncations, and blinded independent mutant tests. Including the substitution tolerance with structure/function analysis shows restricted substitution types spatially concentrated in the Cys-rich region. Tat has abundant intragenic epistasis (10%) when single and double mutants are compared. 2022-07 2022-07-26 /pmc/articles/PMC9420302/ /pubmed/35905834 http://dx.doi.org/10.1016/j.ygeno.2022.110439 Text en 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/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) ). |
spellingShingle | Article Benjamin, Ronald Giacoletto, Christopher J. FitzHugh, Zachary T. Eames, Danielle Buczek, Lindsay Wu, Xiaogang Newsome, Jacklyn Han, Mira V. Pearson, Tony Wei, Zhi Banerjee, Atoshi Brown, Lancer Valente, Liz J. Shen, Shirley Deng, Hong-Wen Schiller, Martin R. GigaAssay – An adaptable high-throughput saturation mutagenesis assay platform |
title | GigaAssay – An adaptable high-throughput saturation mutagenesis assay platform |
title_full | GigaAssay – An adaptable high-throughput saturation mutagenesis assay platform |
title_fullStr | GigaAssay – An adaptable high-throughput saturation mutagenesis assay platform |
title_full_unstemmed | GigaAssay – An adaptable high-throughput saturation mutagenesis assay platform |
title_short | GigaAssay – An adaptable high-throughput saturation mutagenesis assay platform |
title_sort | gigaassay – an adaptable high-throughput saturation mutagenesis assay platform |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9420302/ https://www.ncbi.nlm.nih.gov/pubmed/35905834 http://dx.doi.org/10.1016/j.ygeno.2022.110439 |
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