Data supporting a saturation mutagenesis assay for Tat-driven transcription with the GigaAssay

Ronald Benjamin; Christopher J Giacoletto; Zachary T FitzHugh; Danielle Eames; Lindsay Buczek; Xiaogang Wu; Jacklyn Newsome; Mira V Han; Tony Pearson; Zhi Wei; Atoshi Banerjee; Lancer Brown; Liz J Valente; Shirley Shen; Hong-Wen Deng; Martin R Schiller

doi:10.1016/j.dib.2022.108641

Data supporting a saturation mutagenesis assay for Tat-driven transcription with the GigaAssay

Data Brief. 2022 Sep 28:45:108641. doi: 10.1016/j.dib.2022.108641. eCollection 2022 Dec.

Authors

Ronald Benjamin¹, Christopher J Giacoletto^{1

2

3}, Zachary T FitzHugh¹, Danielle Eames¹, Lindsay Buczek¹, Xiaogang Wu¹, Jacklyn Newsome¹, Mira V Han^{1

2}, Tony Pearson^{2

3}, Zhi Wei⁴, Atoshi Banerjee¹, Lancer Brown³, Liz J Valente³, Shirley Shen¹, Hong-Wen Deng⁵, Martin R Schiller^{1

2

3}

Affiliations

¹ Nevada Institute of Personalized Medicine, University of Nevada Las Vegas, 4505 S. Maryland Parkway, Las Vegas, NV 89154-4004 USA.
² School of Life Sciences, University of Nevada Las Vegas, 4505 S. Maryland Parkway, Las Vegas, NV 89154-4004 USA.
³ Heligenics Inc., 833 Las Vegas Blvd. North, Suite B, Las Vegas, NV 89101, USA.
⁴ Department of Computer Science, New Jersey Institute of Technology, GITC 4214C, University Heights, Newark, NJ 07102 USA.
⁵ Center for Biomedical Informatics & Genomics Tulane University, 1440 Canal Street, Suite 1621, New Orleans, LA 70112 USA.

Abstract

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.

Keywords: High-throughput assay; Intragenic epistasis; Loss of Function (LOF); Protein structure; Saturation mutagenesis; Tat; Transcription.