Tumor Exosome-transmitted LncRNA CATED Promotes Platinum-resistant in High-grade Serous Ovarian Cancer
RNA-seq (gene expression) · human · 17 samples
- What it is
- RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
- Organism
- Homo sapiens (human)
- Topic
- Ovarian cancerThis series is part of our curated briefing on it.
- Samples
- 17 samples: 6 conditions, mostly in triplicateGroups are read from the sample names, not from the paper. Check the list below.
- Data you can get
- A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
- Paper
- Tumor Small Extracellular Vesicle-Transmitted LncRNA CATED Promotes Platinum-Resistance in High-Grade Serous Ovarian CancerAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
Read the full summary ↓
Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.
Processed table
The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE282004_RAW.tar (it can run to tens of gigabytes).
Raw sequencing reads
The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.
What the files usually look like: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.
Also filed as BioProject PRJNA1186597 and SRA study SRP545455. Searching any of these in the dataset finder brings you back here.
Supports a case/control comparison: 9 samples read as cases, 2 as controls.
How we read this: 6 replicated groups read from 17 sample titles; they account for 17 of them. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.
- GSM8634211 Ovarian cancer/tumor/S1 Ovarian cancer/tumor/S
- GSM8634212 Ovarian cancer/tumor/S2 Ovarian cancer/tumor/S
- GSM8634213 Ovarian cancer/tumor/S3 Ovarian cancer/tumor/S
- GSM8634214 Ovarian cancer/tumor/S4 Ovarian cancer/tumor/S
- GSM8634215 Ovarian cancer/tumor/R1 Ovarian cancer/tumor/
- GSM8634216 Ovarian cancer/tumor/R2 Ovarian cancer/tumor/
- GSM8634217 Ovarian cancer/tumor/R3 Ovarian cancer/tumor/
- GSM8634218 SKOV3 cells, Control1 SKOV3 cells, Control
- GSM8634219 SKOV3 cells, Control2 SKOV3 cells, Control
- GSM8634220 SKOV3 cells, CATED overexpressing1 SKOV3 cells, CATED over…
- GSM8634221 SKOV3 cells, CATED overexpressing2 SKOV3 cells, CATED over…
- GSM8634222 SKOV3 cells, DHX36 RIP_input1 SKOV3 cells, DHX36 RIP_…
- GSM8634223 SKOV3 cells, DHX36 RIP_input2 SKOV3 cells, DHX36 RIP_…
- GSM8634224 SKOV3 cells, DHX36 RIP_input3 SKOV3 cells, DHX36 RIP_…
- GSM8634225 SKOV3 cells, DHX36 RIP_IP1 SKOV3 cells, DHX36 RIP_…
- GSM8634226 SKOV3 cells, DHX36 RIP_IP2 SKOV3 cells, DHX36 RIP_…
- GSM8634227 SKOV3 cells, DHX36 RIP_IP3 SKOV3 cells, DHX36 RIP_…
- GSE268514 Integrative genomic analysis of Korean high-grade serous ovarian cancer 161 samples same disease briefing · shares high-grade, ovarian, serous
- GSE154600 Multi-omic analysis of subtype evolution and heterogeneity in high-grade serous ovarian carcinoma 5 samples same disease briefing · shares high-grade, ovarian, serous
- GSE57477 Molecular subtyping of serous ovarian tumors reveals multiple connections to intrinsic breast cancer subtypes 72 samples same disease briefing · shares ovarian, serous
- GSE314300 Rb CUT&RUN profiling in ovarian cancer cell lines following CDK2 inhibitor treatment 10 samples same disease briefing · shares ovarian
- GSE135242 Hi-C identifies structural variation associated with resistance in paired patient-derived ovarian cancer models 8 samples same disease briefing · shares ovarian
- GSE311212 Transcriptomic profiling in human ovarian cancer cell line OVCAR-3 following CDK2 inhibitor treatment 6 samples same disease briefing · shares ovarian
- GSE128098 TET1 reprograms the epithelial ovarian cancer epigenome and reveals casein kinase 2α as a therapeutic target 4 samples same disease briefing · shares ovarian
- GSE28330 Telomeric Allelic Imbalance Indicates Defective DNA Repair and Sensitivity to DNA-Damaging Agents 107 samples same disease briefing
Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.