Data supporting a saturation mutagenesis assay for Tat-driven transcription with the GigaAssay
Document Type
Syllabus
Publication Date
12-1-2022
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.
Identifier
85139293434 (Scopus)
Publication Title
Data in Brief
External Full Text Location
https://doi.org/10.1016/j.dib.2022.108641
e-ISSN
23523409
Volume
45
Grant
1547526
Fund Ref
National Institutes of Health
Recommended Citation
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; and Schiller, Martin R., "Data supporting a saturation mutagenesis assay for Tat-driven transcription with the GigaAssay" (2022). Faculty Publications. 2461.
https://digitalcommons.njit.edu/fac_pubs/2461