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 individuals with GNPTAB-related disorders, including mucolipidosis II (ML II) and mucolipidosis IIIα/β (ML IIIα/β). The two knockout clones 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 GNPTAB 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.
Multi-omic analysis of a mucolipidosis II neuronal cell model uncovers involvement of pathways related to neurodegeneration and drug metabolism.
对粘脂病 II 型神经元细胞模型的多组学分析揭示了与神经退行性变和药物代谢相关的通路参与其中
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作者:Badenetti Lorenzo, Yu Seok-Ho, Colonna Maxwell B, Hull Rony, Bethard Jennifer R, Ball Lauren, Flanagan-Steet Heather, Steet Richard
| 期刊: | Molecular Genetics and Metabolism | 影响因子: | 3.500 |
| 时间: | 2024 | 起止号: | 2024 Nov;143(3):108596 |
| doi: | 10.1016/j.ymgme.2024.108596 | 研究方向: | 代谢、神经科学、细胞生物学 |
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