Single cell RNA sequencing of ID8 mouse ovarian tumor samples with genetic pertrubation of cytokine signaling
Single-cell RNA-seq · mouse · 10 samples
- What it is
- Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
- Organism
- Mus musculus (mouse)
- Samples
- 10 samples: 6 × BM1 vs 2 × BM2Groups 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
- Ovarian cancer-derived IL-4 promotes immunotherapy resistanceCell · 2024
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 GSE263461_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: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.
Also filed as BioProject PRJNA1097589 and SRA study SRP500307. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 8 samples.
How we read this: 2 replicated groups read from 10 sample titles; they account for 8 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.
- GSM8192607 BM1_1 BM1
- GSM8192608 BM1_2 BM1
- GSM8192609 BM1_4 BM1
- GSM8192610 BM1_5 BM1
- GSM8192611 BM1_6 BM1
- GSM8192612 BM1_8 BM1
- GSM8192613 BM2_1 BM2
- GSM8192614 BM2_3 BM2
- GSM8192615 BM3_C7
- GSM8192616 BM3_F8
- GSE249062 Effect of SMARCA4 degradation on ID8 ovarian cancer cells senescent and not senescent. 24 samples shares id8, ovarian
- GSE249063 Senescence induction in ID8 P53 KO ovarian cancer model, injected intraperitouneusly (IP) in C57BL/6 mice. 22 samples shares id8, ovarian
- GSE289286 ID8 cells manifest phenotypic plasticity and molecular heterogeneity of high-grade serous ovarian cancer in response to the local tissue niche 17 samples shares id8, ovarian
- GSE302064 Transcriptome analysis of the effect of RAD52 knockout on olaparib response in BRCA2-deficient, olaparib-resistant murine ovarian cancer cells (ID8-OR) 12 samples shares id8, ovarian
- GSE250195 Overexpression of miR-200s in murine ovarian cancer cells (ID8 and 28-2) 12 samples shares id8, ovarian
- GSE283764 Canagliflozin treatment prevents follicular exhaustion and attenuates hallmarks of ovarian aging in genetically heterogenous mice 15 samples shares ovarian, genetic
- GSE239479 AP-3-84 effects on gene expression in thioglycollate-induced, ID8 ascites or bone-marrow derived macrophages 48 samples shares id8
- GSE302715 A tumor-associated macrophage-targeted immunocytokine leveraging T and NK cell synergy for potent cancer immunotherapy [scRNA-seq] 187 samples shares cytokine
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.