{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Benjamin R"],"funding":["NIAID NIH HHS","NHGRI NIH HHS","NIGMS NIH HHS"],"pagination":["110439"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9420302"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["114(4)"],"pubmed_abstract":["High-throughput assay systems have had a large impact on understanding the mechanisms of basic cell functions. However, high-throughput assays that directly assess molecular functions are limited. Herein, we describe the \"GigaAssay\", a modular high-throughput one-pot assay system for measuring molecular functions of thousands of genetic variants at once. In this system, each cell was infected with one virus from a library encoding thousands of Tat mutant proteins, with each viral particle encoding a random unique molecular identifier (UMI). We demonstrate proof of concept by measuring transcription of a GFP reporter in an engineered reporter cell line driven by binding of the HIV Tat transcription factor to the HIV long terminal repeat. Infected cells were flow-sorted into 3 bins based on "],"journal":["Genomics"],"pubmed_title":["GigaAssay - An adaptable high-throughput saturation mutagenesis assay platform."],"pmcid":["PMC9420302"],"funding_grant_id":["R15 GM107983","P20 GM121325","R56 AI109156","R43 HG012537","R21 AI078708","R21 AI116411"],"pubmed_authors":["Eames D","Buczek L","Schiller MR","Pearson T","Deng HW","Wei Z","Banerjee A","Han MV","Brown L","Giacoletto CJ","Valente LJ","Shen S","Newsome J","Benjamin R","FitzHugh ZT","Wu X"],"additional_accession":[]},"is_claimable":false,"name":"GigaAssay - An adaptable high-throughput saturation mutagenesis assay platform.","description":"High-throughput assay systems have had a large impact on understanding the mechanisms of basic cell functions. However, high-throughput assays that directly assess molecular functions are limited. Herein, we describe the \"GigaAssay\", a modular high-throughput one-pot assay system for measuring molecular functions of thousands of genetic variants at once. In this system, each cell was infected with one virus from a library encoding thousands of Tat mutant proteins, with each viral particle encoding a random unique molecular identifier (UMI). We demonstrate proof of concept by measuring transcription of a GFP reporter in an engineered reporter cell line driven by binding of the HIV Tat transcription factor to the HIV long terminal repeat. Infected cells were flow-sorted into 3 bins based on ","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022 Jul","modification":"2026-04-08T11:02:05.905Z","creation":"2025-04-21T14:53:47.15Z"},"accession":"S-EPMC9420302","cross_references":{"pubmed":["35905834"],"doi":["10.1016/j.ygeno.2022.110439"]}}