{"database":"ENA","file_versions":[{"headers":{"Content-Type":["application/json"]},"body":{"files":{"Fastqsanger.gz":["ftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR206/059/SRR20661559/SRR20661559_1.fastq.gz","ftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR206/057/SRR20661557/SRR20661557_1.fastq.gz","ftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR206/056/SRR20661556/SRR20661556_1.fastq.gz","ftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR206/058/SRR20661558/SRR20661558_1.fastq.gz","ftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR206/060/SRR20661560/SRR20661560_1.fastq.gz"]},"type":"primary"},"statusCode":"OK","statusCodeValue":200}],"scores":null,"additional":{"omics_type":["Genomics"],"center_name":["University of Auckland"],"full_dataset_link":["https://www.ebi.ac.uk/ena/browser/view/PRJNA862600"],"long_description":["This project assessed four pbMEC lines recovered from pregnant cows. we describe an optimised method for preferentially selecting CRISPR-Cas9 edited cells conferring a knock out of DGAT1, using fluorescence activated cell sorting (FACS). Editing efficiency was determined by minION sequencing of a PCR amplicon of the edited region. The combination of these techniques facilitate the use of pbMECs as a model to investigate the effects of gene introgressions and genetic variation in lactating mammary tissue."],"repository":["ENA"],"additional_accession":[]},"is_claimable":false,"name":"","description":"CRISPR/Cas9 editing of Primary Bovine Mammary Epithelial Cells","dates":{"last_updated":"2023-05-19","first_public":"2022-10-07"},"accession":"PRJNA862600","cross_references":{}}