Credentialling a c-MYC-driven genetic neuroblastoma model [RNAseq-NB]
RNA-seq (gene expression) · mouse · 14 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
- 14 samples: 4 × cMyc vs 4 × LSLmycN vs 4 × THmycNB6 vs 2 × THmycN129Groups 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.
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 GSE255205_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 PRJNA1073948 and SRA study SRP488512. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 14 samples.
How we read this: 4 replicated groups read from 14 sample titles; they account for 14 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.
- GSM8065727 cMyc_1 cMyc
- GSM8065728 cMyc_2 cMyc
- GSM8065729 cMyc_3 cMyc
- GSM8065730 cMyc_4 cMyc
- GSM8065731 LSLmycN_1 LSLmycN
- GSM8065732 LSLmycN_2 LSLmycN
- GSM8065733 LSLmycN_3 LSLmycN
- GSM8065734 LSLmycN_4 LSLmycN
- GSM8065735 THmycN129_1 THmycN129
- GSM8065736 THmycN129_2 THmycN129
- GSM8065737 THmycNB6_1 THmycNB6
- GSM8065738 THmycNB6_2 THmycNB6
- GSM8065739 THmycNB6_3 THmycNB6
- GSM8065740 THmycNB6_4 THmycNB6
- GSE253185 Credentialling a c-MYC-driven genetic neuroblastoma model 5 samples shares credentialling, neuroblastoma, c-myc-driven, genetic
- GSE254964 Credentialling a c-MYC–driven genetic neuroblastoma model for pre-clinical studies 2 samples shares credentialling, neuroblastoma, genetic
- GSE228130 USP44 overexpression drives a MYC-like gene expression program in neuroblastoma through epigenetic reprogramming 9 samples shares neuroblastoma, genetic
- GSE228132 USP44 overexpression drives a MYC-like gene expression program in neuroblastoma through epigenetic reprogramming 54 samples shares neuroblastoma, genetic
- GSE228131 USP44 overexpression drives a MYC-like gene expression program in neuroblastoma through epigenetic reprogramming 45 samples shares neuroblastoma, genetic
- GSE270196 Epigenetic regulation of cell state by H2AFY governs immunogenicity in high-risk neuroblastoma [CUT&RUN] 8 samples shares neuroblastoma, genetic
- GSE235736 Epigenetic regulation of cell state by H2AFY governs immunogenicity in high-risk neuroblastoma 4 samples shares neuroblastoma, genetic
- GSE303515 Sequential adaptive changes in a c-Myc-driven model of hepatocellular carcinoma 34 samples shares c-myc-driven
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.