The granulin (GRN) gene stands out as a prominent player in frontotemporal degeneration (FTD). Progranulin (PGRN) is a protein encoded by the GRN gene. Mutations in the GRN gene leading to PGRN deficiency are associated with lysosomal storage diseases and various neurodegenerative diseases. Despite the significance of GRN function, the specific impact of GRN-/- condition on diverse biomolecules such as proteins, lipids, and metabolites remain unclear. This study employs a multi-omics approach, integrating proteomics, lipidomics, and metabolomics analyses for comprehensively unraveling the molecular alterations by GRN-/- condition. Proteins, lipids, and metabolites were obtained from the same sample using a single extraction method. Our result reveals distinct molecular profiles between iPSC and neurons, emphasizing upregulated synaptic proteins such as SYN1, SYT1, VAMP2, and SV2A in proteomics, decreased cardiolipin (CL) containing 16:0 and 18:1 acyl chain in lipidomics, and shifts in acetylcholine and amino acid in metabolomics. Furthermore, the GRN-/- condition induces significant alterations across the proteome, lipidome, and metabolome of induced pluripotent stem cells (iPSC) and iPSC-derived neurons, unveiling unique metabolic pathways. Although this study was conducted at a whole cell level, this comprehensive perspective contributes to our understanding of the intricate interplay among proteins, lipids, and metabolites in neurodevelopment and neurodegenerative diseases.
[doi:10.25345/C5G737F3K]
[dataset license: CC0 1.0 Universal (CC0 1.0)]
Keywords: multi-omics ; proteomics ; metabolomics ; iPSC ; neuron ; neuron differentiation ; GRN ; PGRN ; granulin ; progranulin ; FTD ; frontotemporal dementia
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Ling Hao, The George Washington University, United States |
Submitting User: | haolab |
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