Academic Journal
Data supporting a saturation mutagenesis assay for Tat-driven transcription with the GigaAssay
| العنوان: | Data supporting a saturation mutagenesis assay for Tat-driven transcription with the GigaAssay |
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| المؤلفون: | 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 |
| المصدر: | Data in Brief, Vol 45, Iss , Pp 108641- (2022) |
| بيانات النشر: | Elsevier, 2022. |
| سنة النشر: | 2022 |
| المجموعة: | LCC:Computer applications to medicine. Medical informatics LCC:Science (General) |
| مصطلحات موضوعية: | Tat, Transcription, High-throughput assay, Loss of Function (LOF), Saturation mutagenesis, Protein structure, Computer applications to medicine. Medical informatics, R858-859.7, Science (General), Q1-390 |
| الوصف: | 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. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 2352-3409 |
| Relation: | http://www.sciencedirect.com/science/article/pii/S2352340922008472; https://doaj.org/toc/2352-3409 |
| DOI: | 10.1016/j.dib.2022.108641 |
| URL الوصول: | https://doaj.org/article/fbc7ec88175240008c75ec99a8904676 |
| رقم الانضمام: | edsdoj.fbc7ec88175240008c75ec99a8904676 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 23523409 |
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| DOI: | 10.1016/j.dib.2022.108641 |