CReP-mediated control of eIF2a phosphorylation is a central node in high-risk medulloblastoma [RNA-Seq 3]
RNA-seq (gene expression) · human · 48 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
- 48 samples: 12 conditions, mostly with about 4 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.
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 GSE323995_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 PRJNA1432938 and SRA study SRP681294. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 48 samples.
How we read this: 12 replicated groups read from 48 sample titles; they account for 48 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.
- GSM9566454 D425_ShCTL_1 D425_ShCTL
- GSM9566455 D458_ShCTL_1 D458_ShCTL
- GSM9566456 ONS_ShCTL_1 ONS_ShCTL
- GSM9566457 RPE_ShCTL_1 RPE_ShCTL
- GSM9566458 D425_Sh2_1 D425_Sh2
- GSM9566459 D458_Sh2_1 D458_Sh2
- GSM9566460 ONS_Sh2_1 ONS_Sh2
- GSM9566461 RPE_Sh2_1 RPE_Sh2
- GSM9566462 D425_Sh5_1 D425_Sh5
- GSM9566463 D458_Sh5_1 D458_Sh5
- GSM9566464 ONS_Sh5_1 ONS_Sh5
- GSM9566465 RPE_Sh5_1 RPE_Sh5
- GSM9566466 D425_ShCTL_2 D425_ShCTL
- GSM9566467 D458_ShCTL_2 D458_ShCTL
- GSM9566468 ONS_ShCTL_2 ONS_ShCTL
- GSM9566469 RPE_ShCTL_2 RPE_ShCTL
- GSM9566470 D425_Sh2_2 D425_Sh2
- GSM9566471 D458_Sh2_2 D458_Sh2
- GSM9566472 ONS_Sh2_2 ONS_Sh2
- GSM9566473 RPE_Sh2_2 RPE_Sh2
- GSM9566474 D425_Sh5_2 D425_Sh5
- GSM9566475 D458_Sh5_2 D458_Sh5
- GSM9566476 ONS_Sh5_2 ONS_Sh5
- GSM9566477 RPE_Sh5_2 RPE_Sh5
- GSM9566478 D425_ShCTL_3 D425_ShCTL
- GSM9566479 D458_ShCTL_3 D458_ShCTL
- GSM9566480 ONS_ShCTL_3 ONS_ShCTL
- GSM9566481 RPE_ShCTL_3 RPE_ShCTL
- GSM9566482 D425_Sh2_3 D425_Sh2
- GSM9566483 D458_Sh2_3 D458_Sh2
- GSM9566484 ONS_Sh2_3 ONS_Sh2
- GSM9566485 RPE_Sh2_3 RPE_Sh2
- GSM9566486 D425_Sh5_3 D425_Sh5
- GSM9566487 D458_Sh5_3 D458_Sh5
- GSM9566488 ONS_Sh5_3 ONS_Sh5
- GSM9566489 RPE_Sh5_3 RPE_Sh5
- GSM9566490 D425_ShCTL_4 D425_ShCTL
- GSM9566491 D458_ShCTL_4 D458_ShCTL
- GSM9566492 ONS_ShCTL_4 ONS_ShCTL
- GSM9566493 RPE_ShCTL_4 RPE_ShCTL
+ 8 more — browse all 48 samples with per-sample file links →
- GSE290626 CReP-mediated control of eIF2a phosphorylation is a central node in high-risk medulloblastoma [D458] 24 samples same disease briefing · shares eif2a, phosphorylation, medulloblastoma, crep-mediated, high-risk, control, central
- GSE290496 CReP-mediated control of eIF2a phosphorylation is a central node in high-risk medulloblastoma. 9 samples same disease briefing · shares eif2a, phosphorylation, medulloblastoma, crep-mediated, high-risk, control, central
- GSE269909 Divergent medulloblastoma chromatin states disclose KDM2B as a selective dependency [RNA-Seq] 50 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
- GSE267469 Dual targeting of processive transcription for Myc-driven circuitry in medulloblastoma [RNA-seq] 24 samples same disease briefing · shares medulloblastoma, rna-seq
- GSE243795 Multiomic profiling of medulloblastoma reveals subtype-specific targetable alterations at the proteome and N-glycan level [RNA-Seq] 21 samples same disease briefing · shares medulloblastoma, rna-seq
- GSE230865 PolyA RNA-seq from Medulloblastoma cells ± EYA2 knockdown 18 samples same disease briefing · shares medulloblastoma, rna-seq
- GSE263652 Human cerebellar organoids to study medulloblastoma pathogenesis and treatment. [scRNA-Seq] 17 samples same disease briefing · shares medulloblastoma, rna-seq
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.