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Data supporting a saturation mutagenesis assay for Tat-driven transcription with the GigaAssay
The data in this article are associated with the research paper “GigaAssay – an adaptable high-throughput saturation mutagenesis assay” [1]. The raw data are sequence reads of HIV-1 Tat cDNA amplified from cellular genomic DNA in a new single-pot saturation mutagenesis assay designated the “GigaAssa...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9679548/ https://www.ncbi.nlm.nih.gov/pubmed/36426049 http://dx.doi.org/10.1016/j.dib.2022.108641 |
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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 | The data in this article are associated with the research paper “GigaAssay – an adaptable high-throughput saturation mutagenesis assay” [1]. The raw data are sequence reads of HIV-1 Tat cDNA amplified from cellular genomic DNA in a new single-pot saturation mutagenesis assay designated the “GigaAssay”. A bioinformatic pipeline and parameters used to analyze the data. Raw, processed, analyzed, and filtered data are reported. The data is processed to calculate the Tat-driven transcription activity for cells with each possible single amino acid substitution in Tat. This data can be reused to interpret Tat intermolecular interactions and HIV latency. This is one of the largest and most complete datasets regarding the impact of amino acid substitutions within a single protein on a molecular function. |
format | Online Article Text |
id | pubmed-9679548 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-96795482022-11-23 Data supporting a saturation mutagenesis assay for Tat-driven transcription with the GigaAssay 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. Data Brief Data Article The data in this article are associated with the research paper “GigaAssay – an adaptable high-throughput saturation mutagenesis assay” [1]. The raw data are sequence reads of HIV-1 Tat cDNA amplified from cellular genomic DNA in a new single-pot saturation mutagenesis assay designated the “GigaAssay”. A bioinformatic pipeline and parameters used to analyze the data. Raw, processed, analyzed, and filtered data are reported. The data is processed to calculate the Tat-driven transcription activity for cells with each possible single amino acid substitution in Tat. This data can be reused to interpret Tat intermolecular interactions and HIV latency. This is one of the largest and most complete datasets regarding the impact of amino acid substitutions within a single protein on a molecular function. Elsevier 2022-09-28 /pmc/articles/PMC9679548/ /pubmed/36426049 http://dx.doi.org/10.1016/j.dib.2022.108641 Text en © 2022 The Author(s) 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 | Data 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. Data supporting a saturation mutagenesis assay for Tat-driven transcription with the GigaAssay |
title | Data supporting a saturation mutagenesis assay for Tat-driven transcription with the GigaAssay |
title_full | Data supporting a saturation mutagenesis assay for Tat-driven transcription with the GigaAssay |
title_fullStr | Data supporting a saturation mutagenesis assay for Tat-driven transcription with the GigaAssay |
title_full_unstemmed | Data supporting a saturation mutagenesis assay for Tat-driven transcription with the GigaAssay |
title_short | Data supporting a saturation mutagenesis assay for Tat-driven transcription with the GigaAssay |
title_sort | data supporting a saturation mutagenesis assay for tat-driven transcription with the gigaassay |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9679548/ https://www.ncbi.nlm.nih.gov/pubmed/36426049 http://dx.doi.org/10.1016/j.dib.2022.108641 |
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