Effect of GRPR activation on gene expression in melanoma cells
ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 165 samples
- What it is
- ChIP-seq / ATAC-seq (genome binding and open chromatin)Where proteins bind the genome, or which regions are open and active.
- Organism
- Mus musculus (mouse)
- Topic
- MelanomaThis series is part of our curated briefing on it.
- Samples
- 165 samples: 40 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
- Targeting GRPR for sex hormone-dependent cancer after loss of E-cadherinNature · 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 GSE218588_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: Look for peak files (.bed, .narrowPeak) and signal tracks (.bigWig) among the supplementary files; the raw reads are on ENA.
Also filed as BioProject PRJNA904353 and SRA study SRP449876. Searching any of these in the dataset finder brings you back here.
Supports a case/control comparison: 32 samples read as cases, 48 as controls.
How we read this: 40 replicated groups read from 165 sample titles; they account for 152 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.
- GSM6751362 Dauv-1, MOCK, rep1 Dauv-1, MOCK,
- GSM6751363 Dauv-1, GRP, rep1 Dauv-1, GRP,
- GSM6751364 Dauv-1, RC, rep1 Dauv-1, RC,
- GSM6751365 Dauv-1, GRP+RC, rep1 Dauv-1, GRP+RC,
- GSM6751366 Dauv-1, MOCK, rep2 Dauv-1, MOCK,
- GSM6751367 Dauv-1, GRP, rep2 Dauv-1, GRP,
- GSM6751368 Dauv-1, RC, rep2 Dauv-1, RC,
- GSM6751369 Dauv-1, GRP+RC, rep2 Dauv-1, GRP+RC,
- GSM6751370 Dauv-1, MOCK, rep3 Dauv-1, MOCK,
- GSM6751371 Dauv-1, GRP, rep3 Dauv-1, GRP,
- GSM6751372 Dauv-1, RC, rep3 Dauv-1, RC,
- GSM6751373 Dauv-1, GRP+RC, rep3 Dauv-1, GRP+RC,
- GSM6751374 Dauv-1, MOCK, rep4 Dauv-1, MOCK,
- GSM6751375 Dauv-1, GRP, rep4 Dauv-1, GRP,
- GSM6751376 Dauv-1, RC, rep4 Dauv-1, RC,
- GSM6751377 Dauv-1, GRP+RC, rep4 Dauv-1, GRP+RC,
- GSM6751382 Ecad tumor, Male, #1 Ecad tumor, Male, #
- GSM6751383 Ecad tumor, Male, #2 Ecad tumor, Male, #
- GSM6751384 Ecad tumor, Male, #3 Ecad tumor, Male, #
- GSM6751385 Ecad tumor, Male, #4 Ecad tumor, Male, #
- GSM6751386 Ecad tumor, Male, #5 Ecad tumor, Male, #
- GSM6751387 Ecad tumor, Male, #6 Ecad tumor, Male, #
- GSM6751388 Ecad tumor, Male, #7 Ecad tumor, Male, #
- GSM6751389 Ecad tumor, Male, #8 Ecad tumor, Male, #
- GSM6751390 Ecad tumor, female, #1 Ecad tumor, female, #
- GSM6751391 Ecad tumor, female, #2 Ecad tumor, female, #
- GSM6751392 Ecad tumor, female, #3 Ecad tumor, female, #
- GSM6751393 Ecad tumor, female, #4 Ecad tumor, female, #
- GSM6751394 Ecad tumor, female, #5 Ecad tumor, female, #
- GSM6751395 Ecad tumor, female, #6 Ecad tumor, female, #
- GSM6751396 Ecad tumor, female, #7 Ecad tumor, female, #
- GSM6751397 Ecad tumor, female, #8 Ecad tumor, female, #
- GSM6751398 ΔEcad tumor, Male, #1 ΔEcad tumor, Male, #
- GSM6751399 ΔEcad tumor, Male, #2 ΔEcad tumor, Male, #
- GSM6751400 ΔEcad tumor, Male, #3 ΔEcad tumor, Male, #
- GSM6751401 ΔEcad tumor, Male, #4 ΔEcad tumor, Male, #
- GSM6751402 ΔEcad tumor, Male, #5 ΔEcad tumor, Male, #
- GSM6751403 ΔEcad tumor, Male, #6 ΔEcad tumor, Male, #
- GSM6751404 ΔEcad tumor, Male, #7 ΔEcad tumor, Male, #
- GSM6751405 ΔEcad tumor, Male, #8 ΔEcad tumor, Male, #
+ 125 more — browse all 165 samples with per-sample file links →
- GSE140150 A rare subpopulation of melanoma cells with low expression of metastasis suppressor NME1 has a neural crest-like phenotype and is highly metastatic in vivo 6 samples same disease briefing · shares melanoma
- GSE12391 Melanoma: comparison between common nevi, radial/vertical growth phase melanoma, metastases and dysplastic nevi 114 samples same disease briefing · shares melanoma
- GSE130956 Investigation of ST8SIA1 expression in icaritin-treated and untreated melanoma cell lines 12 samples same disease briefing · shares melanoma
- GSE134459 Genome-wide maps of transcriptomic and epigenomic state in melanoma cell lines 73 samples same disease briefing · shares melanoma
- GSE230489 RNA-sequencing of cutaneous melanoma and non-small cell lung cancer biopsies 38 samples same disease briefing · shares melanoma
- GSE100797 Mutational and neoantigen load predict clinical benefit of adoptive T cell therapy in melanoma 25 samples same disease briefing · shares melanoma
- GSE123728 Clinical and Immunologic Activity of a Single Dose of Neoadjuvant PD-1 Blockade and Predictors of Clinical Outcomes in Resectable Melanoma 24 samples same disease briefing · shares melanoma
- GSE142751 Genome-wide maps of chromatin state in 142 cancer cell lines [cell line] 855 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.