Identification of differential expression circRNAs profile in Gynecological cancer associated cell lines
RNA-seq (gene expression) · human · 18 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
- 18 samples: 14 distinct titles, 2 of them repeatedGroups 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
- Exploring a circulating circRNA and miRNA biomarker panel for early detection of ovarian cancer through multiple omics analysisScientific reports · 2025
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 GSE271851_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 PRJNA1133756 and SRA study SRP518839. Searching any of these in the dataset finder brings you back here.
How we read this: Read from 18 sample titles: 14 distinct titles with little repetition. 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.
- GSM8386695 Hela 1
- GSM8386696 Hela 2
- GSM8386697 Hela 3
- GSM8386698 MCF-7 1
- GSM8386699 MCF-7 2
- GSM8386700 MCF-7 3
- GSM8386701 NIHOVCAR3 1_1
- GSM8386702 NIHOVCAR3 2_1
- GSM8386703 NIHOVCAR3 3_1
- GSM8386704 RL95-2 1_1
- GSM8386705 RL95-2 2_1
- GSM8386706 RL95-2 3_1
- GSM8386707 SKOV3 1_1
- GSM8386708 SKOV3 2_1
- GSM8386709 SKOV3 3_1
- GSM8386710 T293 1_1
- GSM8386711 T293 2_1
- GSM8386712 T293 3_1
- GSE232322 Differential gene expression in breast cancer cell lines treated with a Baicalein at 100 uM concentration 12 samples shares differential, lines
- GSE273995 Cell-intrinsic platinum response and associated genetic and gene expression signatures in ovarian cancer cell lines and isogenic models 36 samples shares lines
- GSE274006 Cell-intrinsic platinum response and associated genetic and gene expression signatures in ovarian cancer cell lines and isogenic models [isogenic models] 33 samples shares lines
- GSE126044 Genome-wide identification of differentially methylated promoters and enhancers associated with response to anti-PD-1 therapy in non-small cell lung cancer 16 samples shares differential
- GSE308395 Identification of Differentially Expressed Genes and Associated Immune Cell Types In South African Gallbladder Cancer Patients 10 samples shares differential
- GSE181389 Transcriptome profiling of HOXA13 and HOXB13 expression knockdown in bladder cancer cell lines. 59 samples shares lines
- GSE298581 Global gene expression response to PPARG inhibition in three urothelial cancer cell lines 48 samples shares lines
- GSE222196 Treatment of prostate cancer cell lines with Androgen Receptor and Receptor Tyrosine Kinase inhibitors 246 samples shares lines
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.