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A forward genetic screen identifies potassium channel essentiality in SHH medulloblastoma maintenance [RNA-seq]

GSE277171 Mus musculus (mouse) RNA-seq (gene expression) 70 samples Submitted 2024/09/16 Platform GPL16417
At a glance

RNA-seq (gene expression) · mouse · 70 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
70 samples: 68 distinct titles, 1 of them repeatedGroups 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.
Summary (written by the submitters)
Sequencing cancer genomes is predicted to uncover therapeutic tumor vulnerabilities. This has been complicated by the abundance of genetic alterations which are either non-functional, or only important in tumor initiation or progression. Distinguishing tumor maintenance genes from initiation, progression, and passenger genes is critical for developing effective cancer therapy.
Read the full summary ↓
We employed a functional genomic approach using the Lazy Piggy transposon to identify tumor maintenance genes in vivo, and apply this to SHH medulloblastoma (MB). Combining Lazy Piggy screening in mice and transcriptomic profiling of human MB, we discovered candidate maintenance genes including the voltage-gated potassium channel Kcnb2. Genetic knockout of Kcnb2 impairs MB growth. Kcnb2 mediates potassium efflux in MB-propagating cells to govern cell volume. Loss of Kcnb2 leads to chronic osmotic swelling and decreased plasma membrane tension, which elevates endocytosis to dampen Egfr signaling, thereby mitigating proliferation of MB-propagating cells. Kcnb2 is largely dispensable for mouse development and synergizes with anti-SHH therapy in treating MB. These results demonstrate the utility of the Lazy Piggy functional genomic approach in identifying cancer maintenance genes, and elucidate a mechanism by which a potassium channel integrates biomechanical and biochemical signaling to promote MB aggression.
This dataset
Open GSE277171 in finder → Find more mouse RNA-seq datasets →
Download · which file do I need?

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.

1 · Just have a look

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.

Series matrix ↓
2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE277171_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
3 · Start from the raw reads

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.

Raw reads on ENA ↗

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 PRJNA1160899 and SRA study SRP532617. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
68 distinct titles, 1 of them repeated
MS_pos ×3

How we read this: Read from 70 sample titles: 68 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.

Samples in this study

+ 30 more — browse all 70 samples with per-sample file links →

Datasets on a similar topic

Search all mouse RNA-seq datasets in GEO →

Share this dataset

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.