PLX199869

GSE75775: Neuron-specific changes in gene expression caused by NPC1 deficiency

  • Organsim mouse
  • Type RNASEQ
  • Target gene
  • Project ARCHS4

Background: Niemann-Pick type C is a rare autosomal recessive lysosomal storage disorder presenting aggravating neurologic symptoms due degeneration of specific types of CNS neurons. At present, it is not well understood how neurons react to NPC1 deficiency and why some neuronal cell types are more vulnerable than others.; Purpose: We took aimed to uncover how a specific type of CNS neuron that can be highly purified reacts to NPC1 deficiency based on changes in gene expression.; Methods: Retinal ganglion cells were purified from individual one-week old Balb/c mice homozygous for a mutant NPC1 allele (NPC1m1N) and wildtype littermates (n = 4 mice each genotype) using immunopanning. Total RNA was isolated from acutely isolated neurons and subjected to RNAseq using 4 biological replicates for each genotype.; Results: Our analysis revealed a strong downregulation of transcripts known to be decreased in mutant mice including Npc1 and Calb1 thus validating our approach. We observed a strong upregulation of genes for cellular cholesterol accretion and the downregulation of those for cholesterol release. Other changes including downregulation genes involved in the immune response and synaptic components.; Conclusions: The observed changes suggest that neurons already at one week of age sense a cholesterol deficit because lipids accumulate in the endosomal-lysosomal system and cannot be redistributed intracellularly. SOURCE: Frank,W.,Pfrieger (frank.pfrieger@unistra.fr) - CNRS UPR 3212 University of Strasbourg

View on GEOView in Pluto

Key Features

Enhance your research with our curated data sets and powerful platform features. Pluto Bio makes it simple to find and use the data you need.

Learn More

14K+ Published Experiments

Access an extensive range of curated bioinformatics data sets, including genomic, transcriptomic, and proteomic data.

Easy Data Import

Request imports from GEO or TCGA directly within Pluto Bio. Seamlessly integrate external data sets into your workflow.

Advanced Search Capabilities

Utilize powerful search tools to quickly find the data sets relevant to your research. Filter by type, disease, gene, and more.

Analyze and visualize data for this experiment

Use Pluto's intuitive interface to analyze and visualize data for this experiment. Pluto's platform is equipped with an API & SDKs, making it easy to integrate into your internal bioinformatics processes.

Read about post-pipeline analysis

View QC data and experiment metadata

View quality control data and experiment metadata for this experiment.

Request import of other GEO data

Request imports from GEO or TCGA directly within Pluto Bio.

Chat with our Scientific Insights team