Data in Brief (Dec 2022)
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
Affiliations
- Ronald Benjamin
- Nevada Institute of Personalized Medicine, University of Nevada Las Vegas, 4505 S. Maryland Parkway, Las Vegas, NV 89154-4004 USA
- Christopher J. Giacoletto
- Nevada Institute of Personalized Medicine, University of Nevada Las Vegas, 4505 S. Maryland Parkway, Las Vegas, NV 89154-4004 USA; School of Life Sciences, University of Nevada Las Vegas, 4505 S. Maryland Parkway, Las Vegas, NV 89154-4004 USA; Heligenics Inc.1, 833 Las Vegas Blvd. North, Suite B, Las Vegas, NV 89101, USA
- Zachary T. FitzHugh
- Nevada Institute of Personalized Medicine, University of Nevada Las Vegas, 4505 S. Maryland Parkway, Las Vegas, NV 89154-4004 USA
- Danielle Eames
- Nevada Institute of Personalized Medicine, University of Nevada Las Vegas, 4505 S. Maryland Parkway, Las Vegas, NV 89154-4004 USA
- Lindsay Buczek
- Nevada Institute of Personalized Medicine, University of Nevada Las Vegas, 4505 S. Maryland Parkway, Las Vegas, NV 89154-4004 USA
- Xiaogang Wu
- Nevada Institute of Personalized Medicine, University of Nevada Las Vegas, 4505 S. Maryland Parkway, Las Vegas, NV 89154-4004 USA
- Jacklyn Newsome
- Nevada Institute of Personalized Medicine, University of Nevada Las Vegas, 4505 S. Maryland Parkway, Las Vegas, NV 89154-4004 USA
- Mira V. Han
- Nevada Institute of Personalized Medicine, University of Nevada Las Vegas, 4505 S. Maryland Parkway, Las Vegas, NV 89154-4004 USA; School of Life Sciences, University of Nevada Las Vegas, 4505 S. Maryland Parkway, Las Vegas, NV 89154-4004 USA
- Tony Pearson
- School of Life Sciences, University of Nevada Las Vegas, 4505 S. Maryland Parkway, Las Vegas, NV 89154-4004 USA; Heligenics Inc.1, 833 Las Vegas Blvd. North, Suite B, Las Vegas, NV 89101, USA
- Zhi Wei
- Department of Computer Science, New Jersey Institute of Technology, GITC 4214C, University Heights, Newark, NJ 07102 USA
- Atoshi Banerjee
- Nevada Institute of Personalized Medicine, University of Nevada Las Vegas, 4505 S. Maryland Parkway, Las Vegas, NV 89154-4004 USA
- Lancer Brown
- Heligenics Inc.1, 833 Las Vegas Blvd. North, Suite B, Las Vegas, NV 89101, USA
- Liz J. Valente
- Heligenics Inc.1, 833 Las Vegas Blvd. North, Suite B, Las Vegas, NV 89101, USA
- Shirley Shen
- Nevada Institute of Personalized Medicine, University of Nevada Las Vegas, 4505 S. Maryland Parkway, Las Vegas, NV 89154-4004 USA
- Hong-Wen Deng
- Center for Biomedical Informatics & Genomics Tulane University2, 1440 Canal Street, Suite 1621, New Orleans, LA 70112 USA
- Martin R. Schiller
- Nevada Institute of Personalized Medicine, University of Nevada Las Vegas, 4505 S. Maryland Parkway, Las Vegas, NV 89154-4004 USA; School of Life Sciences, University of Nevada Las Vegas, 4505 S. Maryland Parkway, Las Vegas, NV 89154-4004 USA; Heligenics Inc.1, 833 Las Vegas Blvd. North, Suite B, Las Vegas, NV 89101, USA; Corresponding author at: Nevada Institute of Personalized Medicine, University of Nevada Las Vegas, 4505 S. Maryland Parkway, Las Vegas, NV 89154-4004 USA.
- Journal volume & issue
-
Vol. 45
p. 108641
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.
