RNA Sequencing of murine MPNST Tumors
RNA-seq (gene expression) · mouse · 11 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
- 11 samples: 11 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
- Myelomodulatory treatments augment the therapeutic benefit of oncolytic viroimmunotherapy in murine models of malignant peripheral nerve sheath tumorsFrontiers in immunology · 2024
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 GSE244829_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 PRJNA1024972 and SRA study SRP464920. 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 11 sample titles: 11 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.
- GSM7830492 5NPCIS Tumor
- GSM7830493 K7m2 Tumor
- GSM7830494 F420 Tumor
- GSM7830495 67C-4 Tumor
- GSM7830496 76-9 Muscle
- GSM7830497 76-9 Tumor
- GSM7830498 M3-9M A Muscle
- GSM7830499 M3-9M A Tumor
- GSM7830500 M3-9M B Muscle
- GSM7830501 M3-9M B Tumor
- GSM7830502 ASN4 Tumor
- GSE225747 Effect of p53 knockout on gene expression during capmatinib treatment of NF1-MET murine MPNST cells 8 samples shares mpnst
- GSE275277 Direct comparison of Cdkn2a and p53 loss reveals global transcriptomic differences, including tumor suppressor dependency on pentose phosphate pathway in MPNST 18 samples shares mpnst
- GSE226980 PRC2 is a tumor suppressor in malignant peripheral nerve sheath tumor (MPNST) 8 samples shares mpnst
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.