Mirdametinib treatment for the osteofibrous dysplasia RASopathy
RNA-seq (gene expression) · human · 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
- Homo sapiens (human)
- Samples
- 24 samples: 24 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.
- Paper
- MEK inhibitor mirdametinib promotes fracture healing in osteofibrous dysplasia RASopathyThe Journal of clinical investigation · 2026
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 GSE305253_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 PRJNA1304928 and SRA study SRP608413. 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 24 sample titles: 24 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.
- GSM9167353 Subject1_exp1_vehicle
- GSM9167354 Subject1_exp1_capmatinib
- GSM9167355 Subject1_exp2_vehicle
- GSM9167356 Subject1_exp2_mirdametinib
- GSM9167357 Subject2_exp1_vehicle
- GSM9167358 Subject2_exp1_capmatinib
- GSM9167359 Subject2_exp1_selumetinib
- GSM9167360 Subject2_exp2_vehicle
- GSM9167361 Subject2_exp2_mirdametinib
- GSM9167362 Subject3_exp1_vehicle
- GSM9167363 Subject3_exp1_capmatinib
- GSM9167364 Subject3_exp1_selumetinib
- GSM9167365 Subject3_exp2_vehicle
- GSM9167366 Subject3_exp2_mirdametinib
- GSM9167367 Subject4_exp1_vehicle
- GSM9167368 Subject4_exp1_capmatinib
- GSM9167369 Subject4_exp1_selumetinib
- GSM9167370 Subject4_exp2_vehicle
- GSM9167371 Subject4_exp2_mirdametinib
- GSM9167372 Subject5_exp1_vehicle
- GSM9167373 Subject5_exp1_capmatinib
- GSM9167374 Subject5_exp1_selumetinib
- GSM9167375 Subject5_exp2_vehicle
- GSM9167376 Subject5_exp2_mirdametinib
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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.