← BioTransfer GEO Dataset Finder
GEO series

Altered lipid homeostasis underlies selective neurodegeneration in SNX14 deficiency [1 yr]

GSE215832 Mus musculus (mouse) RNA-seq (gene expression) 10 samples Submitted 2024/04/29 Platform GPL13112
At a glance

RNA-seq (gene expression) · mouse · 10 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
10 samples: 10 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
Altered lipid homeostasis is associated with cerebellar neurodegeneration in SNX14 deficiencyJCI insight · 2024
Summary (written by the submitters)
Spinocerebellar Ataxia Autosomal Recessive 20 (SCAR20) is a rare disorder caused by mutation in the SNX14 gene. The symptoms of the disorder including coarse face, poor or lack of speech, delayed or absent of motor function, and most markedly, cerebella atrophy with Purkinje cell degeneration. SNX14 has been localized to ER and shown to play a vital role in facilitating the formation of lipid droplet and maintaining the lipid saturation balance in cell membrane.
Read the full summary ↓
Meanwhile, it has also been localized to other subcellular organelles, including lysosome and endo-lysosome, and has been suggested to participate in the autophagy responses. However, the previous researches were performed in vitro or ex vivo, and how disrupted SNX14 led to Purkinje cell degeneration in the SCAR20 cerebella in vivo remained unexplored. Here, we report the first animal model that manifested the SCAR20 symptoms, by introducing a 1bp deletion in Snx14 in mice via CRISPR-Cas9. We performed RNAseq to analyse the pathway changes caused by Snx14 KO.
Published in
Altered lipid homeostasis is associated with cerebellar neurodegeneration in SNX14 deficiency
Zhou Y, Sanchez VB, Xu P et al. · JCI insight 2024 · PMID 38625743 · doi:10.1172/jci.insight.168594
This dataset
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.

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 GSE215832_RAW.tar (it can run to tens of gigabytes).

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.

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 PRJNA890682 and SRA study SRP402727. Searching any of these in the dataset finder brings you back here.

Study design
10 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 10 sample titles: 10 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
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.