<HashMap><database>GEO</database><file_versions><headers><Content-Type>application/xml</Content-Type></headers><body><files><Other>ftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE336nnn/GSE336056/</Other></files><type>primary</type></body><statusCode>OK</statusCode><statusCodeValue>200</statusCodeValue></file_versions><scores/><additional><omics_type>Transcriptomics</omics_type><species>Homo sapiens</species><gds_type> Other</gds_type><gds_type>Expression profiling by high throughput sequencing</gds_type><full_dataset_link>https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE336056</full_dataset_link><repository>GEO</repository><entry_type>GSE</entry_type></additional><is_claimable>false</is_claimable><name>A single chromosome 3p break initiates clear cell renal cell carcinoma evolution</name><description>We used single-cell RNA sequencing (10x Genomics) coupled with CITE-seq cell hashing (HTO) to profile and compare the transcriptomes of renal proximal tubule epithelial cells (RPTECs) after different CRISPR-Cas9 ribonucleoprotein (RNP) perturbations. Cells were treated with a non-targeting control sgRNA (sgNTC), an sgRNA targeting chromosome 3p (sg3p), or an sgRNA targeting chromosome Yq (sgYq), and harvested at Day 5 and Day 10. Hashtag-labeled samples were pooled into three 10x Chip G lanes, and gene-expression and HTO libraries were sequenced on an Illumina NovaSeq X Plus. Copy-number alterations were inferred (inferCNV) to identify cells with chromosome 3p loss, and differential gene expression was compared between 3p-loss and no-loss populations over time.</description><dates><publication>2026/09/21</publication></dates><accession>GSE336056</accession><cross_references><GSM>GSM9826218</GSM><GSM>GSM9826217</GSM><GSM>GSM9826214</GSM><GSM>GSM9826213</GSM><GSM>GSM9826216</GSM><GSM>GSM9826215</GSM><GPL>34284</GPL><GSE>336056</GSE><taxon>Homo sapiens</taxon><PMID>[42465403]</PMID></cross_references></HashMap>