Dual targeting of processive transcription for Myc-driven circuitry in medulloblastoma [RNA-seq]
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)
- Topic
- MedulloblastomaThis series is part of our curated briefing on it.
- 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.
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 GSE267469_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 PRJNA1111558 and SRA study SRP507675. 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.
- GSM8267104 D458 cells, Atuveciclib, 72 hours, replicate 1, RNAseq
- GSM8267105 D458 cells, Atuveciclib, 72 hours, replicate 2, RNAseq
- GSM8267106 D458 cells, Atuveciclib, 72 hours, replicate 3, RNAseq
- GSM8267107 D458 cells, DMSO, 72 hours, replicate 1, RNAseq
- GSM8267108 D458 cells, DMSO, 72 hours, replicate 2, RNAseq
- GSM8267109 D458 cells, DMSO, 72 hours, replicate 3, RNAseq
- GSM8267110 D425 cells, Atuveciclib, 72 hours, replicate 1, RNAseq
- GSM8267111 D425 cells, Atuveciclib, 72 hours, replicate 2, RNAseq
- GSM8267112 D425 cells, Atuveciclib, 72 hours, replicate 3, RNAseq
- GSM8267113 D425 cells, DMSO, 72 hours, replicate 1, RNAseq
- GSM8267114 D425 cells, DMSO, 72 hours, replicate 2, RNAseq
- GSM8267115 D425 cells, DMSO, 72 hours, replicate 3, RNAseq
- GSM8267116 D458 cells, TG02, 24 hours, replicate 1, RNAseq
- GSM8267117 D458 cells, TG02, 24 hours, replicate 2, RNAseq
- GSM8267118 D458 cells, TG02, 24 hours, replicate 3, RNAseq
- GSM8267119 D458 cells, DMSO, 24 hours, replicate 1, RNAseq
- GSM8267120 D458 cells, DMSO, 24 hours, replicate 2, RNAseq
- GSM8267121 D458 cells, DMSO, 24 hours, replicate 3, RNAseq
- GSM8267122 D425 cells, TG02, 24 hours, replicate 1, RNAseq
- GSM8267123 D425 cells, TG02, 24 hours, replicate 2, RNAseq
- GSM8267124 D425 cells, TG02, 24 hours, replicate 3, RNAseq
- GSM8267125 D425 cells, DMSO, 24 hours, replicate 1, RNAseq
- GSM8267126 D425 cells, DMSO, 24 hours, replicate 2, RNAseq
- GSM8267127 D425 cells, DMSO, 24 hours, replicate 3, RNAseq
- GSE267473 Dual targeting of processive transcription for Myc-driven circuitry in medulloblastoma 38 samples same disease briefing · shares medulloblastoma, transcription, processive, myc-driven, targeting, circuitry, dual
- GSE267470 Dual targeting of processive transcription for Myc-driven circuitry in medulloblastoma [CUT&RUN] 12 samples same disease briefing · shares medulloblastoma, transcription, processive, myc-driven, targeting, circuitry, dual
- GSE280973 Transcriptional Regulation of Protein Synthesis by Mediator Kinase Represents a Therapeutic Vulnerability in MYC-driven Medulloblastoma 20 samples same disease briefing · shares medulloblastoma, transcription, myc-driven
- GSE291915 The Hira complex regulates Gli3R-dependent transcription in Hedgehog signaling and medulloblastoma cell growth and migration [RNA-seq] 12 samples same disease briefing · shares medulloblastoma, transcription, rna-seq
- GSE269909 Divergent medulloblastoma chromatin states disclose KDM2B as a selective dependency [RNA-Seq] 50 samples same disease briefing · shares medulloblastoma, rna-seq
- GSE323995 CReP-mediated control of eIF2a phosphorylation is a central node in high-risk medulloblastoma [RNA-Seq 3] 48 samples same disease briefing · shares medulloblastoma, rna-seq
- GSE253557 Single-nuclei RNA-Seq profiles from Group 3 and Group 4 medulloblastomas [scRNA-Seq] 39 samples same disease briefing · shares medulloblastoma, rna-seq
- GSE229150 The transcription factor LHX2 mediates and enhances oncogenic BMP signaling in medulloblastoma 30 samples same disease briefing · shares medulloblastoma, transcription
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.