Transcriptomics

Dataset Information

0

Single-cell transcriptomics unveils molecular signatures of neuronal vulnerability in a mouse model of prion disease that overlap with Alzheimer’s disease


ABSTRACT: Understanding why certain neurons are more sensitive to dysfunction and death caused by misfolded proteins could provide therapeutically relevant insights into neurodegenerative disorders. Here, we harnessed single-cell transcriptomics to examine live neurons isolated from prion-infected female mice, aiming to identify and characterize prion-vulnerable neuronal subsets. Our analysis revealed distinct transcriptional responses across neuronal subsets, with a consistent pathway-level depletion of synaptic gene expression in damage-vulnerable neurons. By scoring neuronal damage based on the magnitude of depleted synaptic gene expression, we identified a diverse spectrum of prion-vulnerable glutamatergic, GABAergic, and medium spiny neurons. Comparison between prion-vulnerable and resistant neurons highlighted baseline gene expression differences that could influence neuronal vulnerability. For instance, the neuroprotective cold-shock protein Rbm3 exhibited higher baseline gene expression in prion-resistant neurons and was robustly upregulated across diverse neuronal classes upon prion infection. We also identified vulnerability-correlated transcripts that overlapped between prion and Alzheimer’s disease. Our findings not only demonstrate the potential of single-cell transcriptomics to identify damage-vulnerable neurons, but also provide molecular insights into neuronal vulnerability and highlight commonalties across neurodegenerative disorders.

ORGANISM(S): Mus musculus

PROVIDER: GSE249382 | GEO | 2024/10/25

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2022-09-21 | GSE198063 | GEO
2012-11-09 | E-GEOD-34530 | biostudies-arrayexpress
2022-11-04 | GSE199837 | GEO
2023-11-09 | E-MTAB-12440 | biostudies-arrayexpress
2020-04-05 | GSE147528 | GEO
2012-11-09 | GSE34530 | GEO
2015-01-06 | E-GEOD-40418 | biostudies-arrayexpress
2020-07-11 | GSE115706 | GEO
2007-09-18 | E-GEOD-1994 | biostudies-arrayexpress
2020-02-14 | GSE115130 | GEO