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

Research output: Contribution to journalArticlepeer-review

2 Scopus citations


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.

Original languageEnglish (US)
Article number108641
JournalData in Brief
StatePublished - Dec 2022
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • General


  • High-throughput assay
  • Intragenic epistasis
  • Loss of Function (LOF)
  • Protein structure
  • Saturation mutagenesis
  • Tat
  • Transcription


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