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...

Descripción completa

Detalles Bibliográficos
Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Data Article
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
Descripción
Sumario: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.

Ejemplares similares