RNA-seq analysis of YUMM1.7 mouse melanoma cells treated with ADAR1i-124 or 5-AZA-CdR to study their effects on RNA editing
RNA-seq (gene expression) · mouse · 13 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
- Mus musculus (mouse)
- Samples
- 13 samples: 3 × DMSO vs 3 × ADAR1i vs 3 × 5-AZA-CdR vs 3 × 5-AZA-CdR + ADAR1iGroups 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
- Identification of ADAR1i-124: The first effective A-to-I RNA editing inhibitor with promising cancer therapeutic potentialiScience · 2026
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 GSE284082_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 PRJNA1196967 and SRA study SRP550902. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 12 samples.
How we read this: 4 replicated groups read from 13 sample titles; they account for 12 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.
- GSM8677720 DMSO DMSO
- GSM8677721 ADAR1i-124 ADAR1i
- GSM8677722 5-AZA-CdR 5-AZA-CdR
- GSM8677723 IP_J2: DMSO DMSO
- GSM8677724 IP_J2: ADAR1i-124 ADAR1i
- GSM8677725 IP_J2: 5-AZA-CdR 5-AZA-CdR
- GSM8677726 IP_J2: 5-AZA-CdR + ADAR1i-124 5-AZA-CdR + ADAR1i
- GSM8677727 IP_Z22: DMSO DMSO
- GSM8677728 IP_Z22: ADAR1i-124 ADAR1i
- GSM8677729 IP_Z22: 5-AZA-CdR 5-AZA-CdR
- GSM8677730 IP_Z22: 5-AZA-CdR + ADAR1i-124 5-AZA-CdR + ADAR1i
- GSM8677731 IP_IgG
- GSM9161376 Total: 5-AZA-CdR + ADAR1i-124 5-AZA-CdR + ADAR1i
- GSE292038 CITE-Seq analysis of intratumoral immune cells from YUMM1.7 melanoma treated with anti-PD-1 therapy. 6 samples shares yumm1, melanoma, treated
- GSE269008 Synthetic RIG-I agonist-mediated cancer immunotherapy synergizes with MAP-Kinase inhibition against BRAF mutated melanoma [YUMM1.7] 15 samples shares yumm1, melanoma
- GSE215960 Subclonal evolution revealed by single-cell profiles of expressed mutations identifies adaptation mechanisms to immunotherapy in melanoma [scRNA-seq] 192 samples shares melanoma, rna-seq
- GSE286519 Glucocorticoids unleash immune-dependent melanoma control through inhibition of the GARP/TGFβ axis [RNA-seq] 31 samples shares melanoma, rna-seq
- GSE205896 Mice melanoma treated by anti-PD1 and intra-tumor microbiome 16 samples shares melanoma, treated
- GSE278974 Single-cell screens identify ADAM12 as a fibroblast checkpoint impeding anti-tumor immunity - RNA-seq of B16F10 lung melanoma murine models 14 samples shares melanoma, rna-seq
- GSE248614 Antagonistic stem cell fates under stress govern decisions between hair greying and melanoma [RNA-seq] 12 samples shares melanoma, rna-seq
- GSE253092 Tumour-intrinsic endomembrane trafficking by ARF6 shapes an immunosuppressive microenvironment that drives melanomagenesis and response to checkpoint blockade therapy [bulk RNA-seq] 12 samples shares melanoma, 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.