ENAapplication/xmlftp://ftp.sra.ebi.ac.uk/vol1/fastq/ERR705/007/ERR7059747/ERR7059747.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/ERR705/000/ERR7059750/ERR7059750.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/ERR705/008/ERR7059748/ERR7059748.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/ERR705/006/ERR7059746/ERR7059746.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/ERR705/009/ERR7059749/ERR7059749.fastq.gzprimaryOK200GenomicsUNIVERSITY OF ZURICH, UNIVERSITY HOSPITAL ZURICHhttps://www.ebi.ac.uk/ena/browser/view/PRJEB46898A high-throughput genome-wirde siRNA screening for lipoprotein uptake was performed on Huh-7 human hepatocarcinoma cells. In order to exclude possible false-positives coming from siRNA molecules targeting genes which are actually not expressed in Huh-7 cells, we determined basal gene expression in this cells line by RNASeq on an Illumina platform. Five samples were sequenced with increasing read depth in order to ensure that all low-expressed genes were detected. Expression levels from the sample with the highest read depth were used to filter the siRNA screening data.ENAfalseRNASeq to determine basal gene expression levels in Huh-7 human hepatocarcinoma cellsRNASeq was performed on Huh-7 human hepatocarcinoma cells to determine basal gene expression levels. The data were then used to filter the results of a genome-wide siRNA screening for lipoprotein uptake.2021-11-012021-11-01PRJEB46898