Molecular analysis of platinum-resistant and -sensitive ovarian cacner based on RNA-Seq analysis
RNA-seq (gene expression) · human · 19 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)
- Samples
- 19 samples: 11 × ovarian cancer_ov vs 8 × ovarian cancer_BGroups 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
- AUF1-induced circular RNA hsa_circ_0010467 promotes platinum resistance of ovarian cancer through miR-637/LIF/STAT3 axisCellular and molecular life sciences : CMLS · 2023
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 GSE214302_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 PRJNA884836 and SRA study SRP400110. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 19 samples.
How we read this: 2 replicated groups read from 19 sample titles; they account for 19 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.
- GSM6603421 ovarian cancer_B3 ovarian cancer_B
- GSM6603422 ovarian cancer_B4 ovarian cancer_B
- GSM6603423 ovarian cancer_B6 ovarian cancer_B
- GSM6603424 ovarian cancer_B7 ovarian cancer_B
- GSM6603425 ovarian cancer_B8 ovarian cancer_B
- GSM6603426 ovarian cancer_B9 ovarian cancer_B
- GSM6603427 ovarian cancer_B10 ovarian cancer_B
- GSM6603428 ovarian cancer_ov170018 ovarian cancer_ov
- GSM6603429 ovarian cancer_ov170028 ovarian cancer_ov
- GSM6603430 ovarian cancer_ov170037 ovarian cancer_ov
- GSM6603431 ovarian cancer_B2 ovarian cancer_B
- GSM6603432 ovarian cancer_ov160219 ovarian cancer_ov
- GSM6603433 ovarian cancer_ov170008 ovarian cancer_ov
- GSM6603434 ovarian cancer_ov170009 ovarian cancer_ov
- GSM6603435 ovarian cancer_ov180065 ovarian cancer_ov
- GSM6603436 ovarian cancer_ov190055 ovarian cancer_ov
- GSM6603437 ovarian cancer_ov190130 ovarian cancer_ov
- GSM6603438 ovarian cancer_ov190146 ovarian cancer_ov
- GSM6603439 ovarian cancer_ov190161 ovarian cancer_ov
- GSE222556 Neoadjuvant PARPi or Chemotherapy in Ovarian Cancer Informs Targeting Effector Treg Cells for Homologous-Recombination-Deficient Tumors [10x scRNA-seq] 67 samples shares ovarian, rna-seq
- GSE273637 Gene expression profiles of platinum-resistant high-grade serous ovarian carcinoma 20 samples shares platinum-resistant, ovarian
- GSE318490 Single-cell RNA-seq of tumor samples from six advanced HGSOC patients across treatment stages (pre-NACT, post-NACT and platinum-sensitive recurrence) 10 samples shares sensitive, rna-seq
- GSE224334 Gene expression profile at single cell level of ovarian clear cell carcinoma (OCCC) [snRNA-seq OCCC] 10 samples shares ovarian, rna-seq
- GSE309595 Longitudinal Analysis of Multiple Myeloma: Therapeutic Response and Immune Microenvironment Dynamics in the Context of Tumor Heterogeneity [scRNA-seq] 270 samples shares rna-seq
- GSE339456 Integrated bulk and spatial transcriptomic analysis identifies progression-associated molecular signatures in biopsy-proven hypertensive nephropathy [RNA-seq] 35 samples shares rna-seq
- GSE272409 Molecular and spatial analysis unveils the functional basis of tertiary lymphoid structures in Sjogren’s syndrome[scRNA-seq] 13 samples shares rna-seq
- GSE308103 Single-nucleus RNA-sequencing (snRNA-seq) analysis of normal lung tissues, precursor lung lesions and invasive lung adenocarcinomas 75 samples shares rna-seq
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.