NF1 Loss Promotes EGFR Activation and Confers Sensitivity to EGFR Inhibition in NF1 Mutant Melanoma
RNA-seq (gene expression) · human · 32 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)
- Samples
- 32 samples: 7 conditions, mostly with about 5 replicates eachGroups 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
- NF1 Loss Promotes EGFR Activation and Confers Sensitivity to EGFR Inhibition in NF1-Mutant MelanomaCancer research · 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 GSE277806_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 PRJNA1164244 and SRA study SRP534270. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 25 samples.
How we read this: 7 replicated groups read from 32 sample titles; they account for 25 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.
- GSM8530984 07-127
- GSM8530985 08-175
- GSM8530986 09-085 09
- GSM8530987 09-135 09
- GSM8530988 09-203 09
- GSM8530989 10-040 10
- GSM8530990 10-230 10
- GSM8530991 10-230BM
- GSM8530992 11-001 11
- GSM8530993 11-103 11
- GSM8530994 11-161 11
- GSM8530995 11-211 11
- GSM8530996 11-336 11
- GSM8530997 12-019 12
- GSM8530998 12-108 12
- GSM8530999 12-126 12
- GSM8531000 12-215 12
- GSM8531001 12-273 12
- GSM8531002 12-273BM
- GSM8531003 13-045 13
- GSM8531004 13-146 13
- GSM8531005 13-313 13
- GSM8531006 13-247 13
- GSM8531007 14-266
- GSM8531008 15-041 15
- GSM8531009 15-393 15
- GSM8531010 16-036 16
- GSM8531011 16-133 16
- GSM8531012 16-289 16
- GSM8531013 16-304 16
- GSM8531014 17-073
- GSM8531015 18-082
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- GSE273882 Arginine Promotes The Activation of Human Lung Fibroblasts Independent of Its Metabolism 52 samples shares activation, promotes
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- GSE324815 Intratumoral CD40 agonist sotigalimab in combination with pembrolizumab induces rapid activation of antigen presenting cells and drives anti-tumor responses in non-injected tumors in metastatic melanoma: Results of a phase 1/2 study 24 samples shares activation, melanoma
- GSE288570 Tumor-associated neutrophil precursors impair homologous DNA repair and promote sensitivity to PARP-inhibition. 18 samples shares sensitivity, inhibition
- GSE311200 Comprehensive analysis of the correlation between circulating biomarkers and tumor-immune microenvironment in advanced or recurrence non-small cell lung cancer in various treatment options, i.e., immunotherapy, EGFR TKI, and chemotherapy 41 samples shares egfr
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.