Vemurafenib response and resistance analysis of metastatic melanomas with mutant and wild type BRAF
RNA-seq (gene expression) · mouse · 24 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
- 24 samples: 8 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
- Inter-Relationship Between Melanoma Vemurafenib Tolerance Thresholds and Metabolic Pathway ChoiceCells · 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 GSE284250_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 PRJNA1198069 and SRA study SRP551356. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 24 samples.
How we read this: 8 replicated groups read from 24 sample titles; they account for 24 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.
- GSM8680985 A2058P_control_1 A2058P_control
- GSM8680986 A2058P_control_2 A2058P_control
- GSM8680987 A2058P_control_3 A2058P_control
- GSM8680988 A2058VR_control_1 A2058VR_control
- GSM8680989 A2058VR_control_2 A2058VR_control
- GSM8680990 A2058VR_control_3 A2058VR_control
- GSM8680991 M14P_control_1 M14P_control
- GSM8680992 M14P_control_2 M14P_control
- GSM8680993 M14P_control_3 M14P_control
- GSM8680994 M14VR_control_1 M14VR_control
- GSM8680995 M14VR_control_2 M14VR_control
- GSM8680996 M14VR_control_3 M14VR_control
- GSM8680997 Mel108_control_1 Mel108_control
- GSM8680998 Mel108_control_2 Mel108_control
- GSM8680999 Mel108_control_3 Mel108_control
- GSM8681000 Mel108_Plus_Vem_1 Mel108_Plus_Vem
- GSM8681001 Mel108_Plus_Vem_2 Mel108_Plus_Vem
- GSM8681002 Mel108_Plus_Vem_3 Mel108_Plus_Vem
- GSM8681003 Mel89_control_1 Mel89_control
- GSM8681004 Mel89_control_2 Mel89_control
- GSM8681005 Mel89_control_3 Mel89_control
- GSM8681006 Mel89_vem_1 Mel89_vem
- GSM8681007 Mel89_vem_2 Mel89_vem
- GSM8681008 Mel89_vem_3 Mel89_vem
- GSE203467 COP1 Deficiency in BRAFV600E Melanomas Confers Resistance to Inhibitors of the MAPK Pathway [NGS2569] 12 samples shares braf, resistance, melanomas
- GSE279468 Gene expression profile at single cell level of Braf-mutant mouse melanoma tumor and skin 53 samples shares braf, mutant
- GSE302629 Loss of tumor cell MHC Class II drives MAPK-inhibitor insensitivity of BRAF-mutant anaplastic thyroid cancers [RNA-seq] 24 samples shares braf, mutant
- GSE301299 Multi-omics analysis identifies intrinsic Trp53 driven metastatic breast cancer subtypes [RNA-seq] 51 samples shares metastatic, type
- GSE293450 Hypoxia shapes both therapeutic response and resistance in metastatic clear cell renal cell carcinoma 38 samples shares resistance, metastatic
- GSE297298 Single-cell RNA-sequencing identifies anti-cancer immune phenotypes in the early lung metastatic niche during breast cancer 18 samples shares metastatic, type
- GSE262426 Insulin resistance alters cortical inhibitory neurons and microglia to exacerbate Alzheimer’s knock-in mouse phenotypes 16 samples shares resistance, type
- GSE249818 PRICKLE4 Underlies IDH mutant Tumors Resistance against PARP Inhibition 12 samples shares resistance, mutant
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.