Transcriptomics

Dataset Information

0

Multi-omic Analysis of an Mucolipidosis II Neuronal Cell Model Uncovers Involvement of Pathways Related to Neurodegeneration and Drug Metabolism


ABSTRACT: Defining the molecular consequences of lysosomal dysfunction in neuronal cell types remains an area of investigation that is needed to understand many underappreciated phenotypes associated with lysosomal disorders. Here we characterize GNPTAB-knockout DAOY medulloblastoma cells using different genetic and proteomic approaches, with a focus on how altered gene expression and cell surface abundance of glycoproteins may explain emerging neurological issues in individual with mucolipidosis (ML). The two knockout clones that were characterized demonstrated all the biochemical hallmarks of this disease, including loss of intracellular glycosidase activity due to impaired mannose 6-phosphate-dependent lysosomal sorting, lysosomal cholesterol accumulation, and increased markers of autophagic dysfunction. RNA sequencing identified altered transcript abundance of several neuronal markers and genes involved in drug metabolism and transport, and neurodegeneration-related pathways. Using selective exo-enzymatic labeling (SEEL) coupled with proteomics to profile cell surface glycoproteins, we demonstrated altered abundance of several glycoproteins in the knockout cells. Most striking was increased abundance of the amyloid precursor protein and apolipoprotein B, indicating that loss of GlcNAc-1-phosphotransferase function in these cells corresponds with elevation in proteins associated with neurodegeneration. The implication of these findings on lysosomal disease pathogenesis and the emerging neurological manifestations of GNPTAB-related disorders is discussed

ORGANISM(S): Homo sapiens

PROVIDER: GSE273794 | GEO | 2024/10/28

REPOSITORIES: GEO

Dataset's files

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

Similar Datasets

2019-01-01 | GSE112895 | GEO
| phs001329 | dbGaP
2024-06-01 | GSE266142 | GEO
2022-09-09 | PXD029746 | Pride
2008-06-15 | E-GEOD-6678 | biostudies-arrayexpress
2012-12-27 | GSE39621 | GEO
2023-11-08 | PXD038061 | JPOST Repository
2021-09-10 | PXD024770 | Pride
2015-04-14 | E-GEOD-66420 | biostudies-arrayexpress
2019-05-01 | GSE129282 | GEO