<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/GSE309nnn/GSE309470/</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>Expression profiling by high throughput sequencing</gds_type><full_dataset_link>https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE309470</full_dataset_link><repository>GEO</repository><entry_type>GSE</entry_type></additional><is_claimable>false</is_claimable><name>RNA-seq of MDA-MB-231 with BCSC state sorting (A-BCSCs vs Q-BCSCs via SDorm system) and ENO1 silencing (siENO1 vs siNC)</name><description>Quiescent breast cancer stem cells (Q-BCSCs) can switch to an activated state (A-BCSCs). We established a dual-reporter system for stemness and quiescence (NANOG-EGFP + H2B-mCherry pulse-chase) to isolate A-BCSCs and Q-BCSCs from MDA-MB-231 cells. Strand-specific poly(A) RNA-seq was performed to compare A-BCSCs vs Q-BCSCs (n=3 per group). In a second dataset, ENO1 silencing (siENO1) was compared with a non-targeting control (siNC) in unsorted MDA-MB-231 cells (n=2 per group). Processed data are provided as separate experiment-specific gene-level matrices rather than a single unified matrix because different Ensembl gene annotation releases were used for quantification in the two experiments. For the A-BCSCs vs Q-BCSCs dataset, counts and FPKM matrices together with a matching gene annotation table are provided. For the siENO1 vs siNC dataset, counts and FPKM matrices together with a matching gene annotation table are provided. Previous reports have identified NANOG as a key stemness factor in tumor cells. Based on this, we established a stable fluorescent reporter system in MDA-MB-231 cells via lentiviral transduction, in which EGFP is driven by the NANOG promoter and expressed upon NANOG activation. To validate whether this system faithfully reflects cellular stemness, NANOG-EGFP positive and negative cells were sorted by FACS and subsequently analyzed by RNA-seq. Our results showed that the NANOG-EGFP positive population was enriched for stemness-related gene pathways, confirming that this reporter system can effectively indicate tumor cell stemness</description><dates><publication>2026/06/26</publication></dates><accession>GSE309470</accession><cross_references><GSM>GSM9824585</GSM><GSM>GSM9267840</GSM><GSM>GSM9267842</GSM><GSM>GSM9267841</GSM><GSM>GSM9267844</GSM><GSM>GSM9267843</GSM><GSM>GSM9267845</GSM><GSM>GSM9267837</GSM><GSM>GSM9267836</GSM><GSM>GSM9267839</GSM><GSM>GSM9267838</GSM><GSM>GSM9824581</GSM><GSM>GSM9824582</GSM><GSM>GSM9824583</GSM><GSM>GSM9824584</GSM><GSM>GSM9824580</GSM><GPL>30173</GPL><GPL>34284</GPL><GSE>309470</GSE><taxon>Homo sapiens</taxon></cross_references></HashMap>