{"database":"GEO","file_versions":[{"headers":{"Content-Type":["application/json"]},"body":{"files":{"Other":["ftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE311nnn/GSE311434/"]},"type":"primary"},"statusCode":"OK","statusCodeValue":200}],"scores":null,"additional":{"omics_type":["Genomics"],"species":["Homo sapiens"],"gds_type":["Genome binding/occupancy profiling by high throughput sequencing"],"full_dataset_link":["https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE311434"],"repository":["GEO"],"entry_type":["GSE"],"additional_accession":[]},"is_claimable":false,"name":"Systematic Benchmarking of CUT&Tag Improves the Reliability and Reproducibility of Chromatin Analysis","description":"Cleavage under target and tagementation (CUT&Tag) is a widely used assay for analyzing epigenomic localization of proteins and histone PTMs. This study is focused on increasing the reproducibility of CUT&Tag through standardization of both wet bench and downstream data analysis. We find that 10K cells is the minimum input requirement for robust genome-wide profiling of H3K7me3 in mESCs and rat C6 cells. For CTCF 50K cells are needed. EGS crosslinking and de-duplication strategies were also explored.","dates":{"publication":"2026/07/16"},"accession":"GSE311434","cross_references":{"GSM":["GSM9324987"],"GPL":["18573"],"GSE":["311434"],"taxon":["Homo sapiens"],"PMID":["[42285100]"]}}