<HashMap><database>biostudies-arrayexpress</database><scores/><additional><submitter>Johannes Gubat</submitter><organism>Homo sapiens</organism><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/E-MTAB-14135</full_dataset_link><description>The goal of the project is to identify deubiquitinases (DUBs) networks that could be targetable in cancer. To identify functionally interacting DUBs, we performed a pooled combinatorial knockout screen using a CRISPR/Cas12a system. Here we transduced a custom guide library targeting any 2-gene combination derived from 160 genes (including ~90 DUBs and other genes of interest) into Cas12a-expressing HCT116 cells. While the cells are subjected to puromycin selection, a reference sample (Day 4 post-transduction) was taken and sequenced. Two replicates were derived from this pool that were expanded and sequenced at Day 11 and Day 18 post-transduction.</description><repository>biostudies-arrayexpress</repository><sample_protocol>Nucleic Acid Extraction - Genomic DNA was isolated using QIAamp DNA Blood Maxi Kit (Qiagen) as per manufacturer's instructions</sample_protocol><sample_protocol>Sequencing - The amplicon was sequenced on Illumina NovaSeq, reading 66 cycles Read 1 with custom primer cttgtggaaaggacgaaacaccgAAATTTCTCCTCTTGGAGAT; 10 cycles index read i7 to read the RSL, and six cycles index read i5 for the sample barcode</sample_protocol><sample_protocol>Library Construction - An amplicon containing guide and UMI sequences was amplified by PCR, also attaching adapter sequences.</sample_protocol><sample_protocol>Growth Protocol - The cells were grown in a humidified incubator at 37C and 5% CO2 and were regularly passaged at 70-80% confluence. Cell numbers were kept at >100 million cells.</sample_protocol><sample_protocol>Sample Collection - At the specified time point, the cells were detached with 0.25% trypsin and pelletted</sample_protocol><figure_sub>Organization</figure_sub><figure_sub>MINSEQE Score</figure_sub><figure_sub>Assays and Data</figure_sub><figure_sub>Processed Data</figure_sub><figure_sub>MAGE-TAB Files</figure_sub><data_protocol>Data Transformation - NGS data was analyzed with the MaGeCK software, v.0.5.6. Read counts are normalized to median</data_protocol><omics_type>Unknown</omics_type><omics_type>Transcriptomics</omics_type><omics_type>Genomics</omics_type><omics_type>Proteomics</omics_type><instrument_platform>Illumina NovaSeq 6000</instrument_platform><study_type>DNA-seq</study_type><species>Homo sapiens</species><pubmed_authors>Johannes Gubat</pubmed_authors><pubmed_authors>Padraig D'Arcy</pubmed_authors></additional><is_claimable>false</is_claimable><name>Combinatorial CRISPR loss-of-function screen for deubiquitinases and genes related to the ubiquitin proteasome system in HCT116 cells</name><description>The goal of the project is to identify deubiquitinases (DUBs) networks that could be targetable in cancer. To identify functionally interacting DUBs, we performed a pooled combinatorial knockout screen using a CRISPR/Cas12a system. Here we transduced a custom guide library targeting any 2-gene combination derived from 160 genes (including ~90 DUBs and other genes of interest) into Cas12a-expressing HCT116 cells. While the cells are subjected to puromycin selection, a reference sample (Day 4 post-transduction) was taken and sequenced. Two replicates were derived from this pool that were expanded and sequenced at Day 11 and Day 18 post-transduction.</description><dates><release>2026-05-31T00:00:00Z</release><modification>2026-05-31T01:01:15.541Z</modification><creation>2024-05-31T08:03:21.8Z</creation></dates><accession>E-MTAB-14135</accession><cross_references><ENA>ERP160781</ENA><EFO>EFO_0002944</EFO><EFO>EFO_0004170</EFO><EFO>EFO_0003789</EFO><EFO>EFO_0002693</EFO><EFO>EFO_0005518</EFO><EFO>EFO_0003816</EFO><EFO>EFO_0004184</EFO></cross_references></HashMap>