Inhibition of BCL2 family proteins overcomes acquired resistance to standard of care BRAF and MEK inhibitors in a subset of BRAFV600E-mutant melanomas
RNA-seq (gene expression) · human · 58 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)
- Topic
- MelanomaThis series is part of our curated briefing on it.
- Samples
- 58 samples: 58 samples, each with a distinct title — no replicated groupsGroups 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.
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 GSE298507_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 PRJNA1269569. Searching any of these in the dataset finder brings you back here.
Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Read from 58 sample titles: 58 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.
- GSM9015815 WM3960_R.DTN.Early
- GSM9015816 WM3960_R.Vehicle.Late
- GSM9015817 WM3960_R.DTN.Late
- GSM9015818 WM3965_R.Vehicle.Early
- GSM9015819 WM3965_R.DTN.Early
- GSM9015820 WM3983_R.Vehicle.Late
- GSM9015821 WM3983_R.DTN.Late
- GSM9015822 WM4008_R.Vehicle.Late
- GSM9015823 WM4008_R.DTN.Late
- GSM9015824 WM4061.Vehicle.Late
- GSM9015825 WM4061.DTN.Late
- GSM9015826 WM4200_R.Vehicle.Late
- GSM9015827 WM4200_R.DTN.Early
- GSM9015828 WM4224.Vehicle.Late
- GSM9015829 WM4224.TN.Late
- GSM9015830 WM4257.Vehicle.Late
- GSM9015831 WM4257.TN.Late
- GSM9015832 WM4376.Vehicle.Late
- GSM9015833 WM4376.TN.Late
- GSM9015834 WM3903_R.DTN.Early
- GSM9015835 WM3903_R.DTN.Late
- GSM9015836 WM3903_R.DTV.Early
- GSM9015837 WM3903_R.DTV.Late
- GSM9015838 WM3903_R.Vehicle.Late
- GSM9015839 WM3908_R.DTN.Early
- GSM9015840 WM3908_R.DTN.Late
- GSM9015841 WM3908_R.DTV.Early
- GSM9015842 WM3908_R.DTV.Late
- GSM9015843 WM3908_R.Vehicle.Early
- GSM9015844 WM3908_R.Vehicle.Late
- GSM9015845 WM3960_R_SCR.DTN.Early
- GSM9015846 WM3960_R_MCL1.DTN.Late
- GSM9015847 WM4070_R.DTN.Early
- GSM9015848 WM4070_R.DTN.Late
- GSM9015849 WM4070_R.DTV.Early
- GSM9015850 WM4070_R.DTV.Late
- GSM9015851 WM4070_R.Vehicle.Early
- GSM9015852 WM4070_R.Vehicle.Late
- GSM9015853 WM4257_SCR.TV.Early
- GSM9015854 WM4257_SCR.TV.Late
+ 18 more — browse all 58 samples with per-sample file links →
- GSE142751 Genome-wide maps of chromatin state in 142 cancer cell lines [cell line] 855 samples same disease briefing
- GSE317605 A Phase II Trial of Pembrolizumab plus Granulocyte Macrophage Colony Stimulating Factor in Advanced Biliary Cancer [CITE-Seq] 168 samples same disease briefing
- GSE12391 Melanoma: comparison between common nevi, radial/vertical growth phase melanoma, metastases and dysplastic nevi 114 samples same disease briefing
- GSE91061 Molecular portraits of tumor mutational and micro-environmental sculpting by immune checkpoint blockade therapy 109 samples same disease briefing
- GSE134459 Genome-wide maps of transcriptomic and epigenomic state in melanoma cell lines 73 samples same disease briefing
- GSE230489 RNA-sequencing of cutaneous melanoma and non-small cell lung cancer biopsies 38 samples same disease briefing
- GSE100797 Mutational and neoantigen load predict clinical benefit of adoptive T cell therapy in melanoma 25 samples same disease briefing
- 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
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.