@article{8cc4d2894240497a9747d6a4318f858e,
title = "Data supporting a saturation mutagenesis assay for Tat-driven transcription with the GigaAssay",
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",
author = "Ronald Benjamin and Giacoletto, {Christopher J.} and FitzHugh, {Zachary T.} and Danielle Eames and Lindsay Buczek and Xiaogang Wu and Jacklyn Newsome and Han, {Mira V.} and Tony Pearson and Zhi Wei and Atoshi Banerjee and Lancer Brown and Valente, {Liz J.} and Shirley Shen and Deng, {Hong Wen} and Schiller, {Martin R.}",
note = "Funding Information: Funding: This work was supported by the National Institutes of Health (grant numbers R21AI116411 , R15GM107983 , R21AI078708 , R56AI109156 , P20GM121325 ); the Governor's Office of Economic Development (Grant Number: 1547526); and the Prabhu endowed professorship. We also acknowledge the UNLV College of Science for a grant to develop the GigaAssay. Funding Information: Funding: This work was supported by the National Institutes of Health (grant numbers R21AI116411, R15GM107983, R21AI078708, R56AI109156, P20GM121325); the Governor's Office of Economic Development (Grant Number: 1547526); and the Prabhu endowed professorship. We also acknowledge the UNLV College of Science for a grant to develop the GigaAssay. We thank Drs. Edwin Oh, and Richard Tillet from the UNLV Nevada Institute of Personalized Medicine Genome Acquisition and Analysis Core for access to a flow cytometer sorter and help with some NGS sequencing and interpretation for GigaAssay development. We Thank Drs. Jefferson Kinney (University of Nevada, Las Vegas) and Tom Metzger (Roseman University) for use of their flow cytometer. We wish to acknowledge the help of Dr. Nora Caberoy with electroporation experiments. We appreciate the discussions we had with Drs. Qing Wu and Michael F. Lin about statistical assessment of the GigaAssay results. Publisher Copyright: {\textcopyright} 2022 The Author(s)",
year = "2022",
month = dec,
doi = "10.1016/j.dib.2022.108641",
language = "English (US)",
volume = "45",
journal = "Data in Brief",
issn = "2352-3409",
publisher = "Elsevier BV",
}