<HashMap><database>ENA</database><file_versions><headers><Content-Type>application/xml</Content-Type></headers><body><files><Fastqsanger.gz>ftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR206/059/SRR20661559/SRR20661559_1.fastq.gz</Fastqsanger.gz><Fastqsanger.gz>ftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR206/057/SRR20661557/SRR20661557_1.fastq.gz</Fastqsanger.gz><Fastqsanger.gz>ftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR206/056/SRR20661556/SRR20661556_1.fastq.gz</Fastqsanger.gz><Fastqsanger.gz>ftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR206/058/SRR20661558/SRR20661558_1.fastq.gz</Fastqsanger.gz><Fastqsanger.gz>ftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR206/060/SRR20661560/SRR20661560_1.fastq.gz</Fastqsanger.gz></files><type>primary</type></body><statusCode>OK</statusCode><statusCodeValue>200</statusCodeValue></file_versions><scores/><additional><omics_type>Genomics</omics_type><center_name>University of Auckland</center_name><full_dataset_link>https://www.ebi.ac.uk/ena/browser/view/PRJNA862600</full_dataset_link><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.</long_description><repository>ENA</repository></additional><is_claimable>false</is_claimable><name></name><description>CRISPR/Cas9 editing of Primary Bovine Mammary Epithelial Cells</description><dates><last_updated>2023-05-19</last_updated><first_public>2022-10-07</first_public></dates><accession>PRJNA862600</accession><cross_references/></HashMap>