MassIVE MSV000093388

Partial Public

GNPS - Multi-omics Evaluation of Human iPSCs and iPSC-derived Neurons

Description

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

Contact

Principal Investigators:
(in alphabetical order)
Ling Hao, The George Washington University, United States
Submitting User: haolab
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Owner Reanalyses
Experimental Design
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Identification Results
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Quantification Results
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GNPS content goes here (MSV000093388 [task=e405b46efa504e4d9eadc10b875ccd18])
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Number of distinct conditions across all analyses (original submission and reanalyses) associated with this dataset.

Distinct condition labels are counted across all files submitted in the "Metadata" category having a "Condition" column in this dataset.

"N/A" means no results of this type were submitted.
Number of distinct biological replicates across all analyses (original submission and reanalyses) associated with this dataset.

Distinct replicate labels are counted across all files submitted in the "Metadata" category having a "BioReplicate" or "Replicate" column in this dataset.

"N/A" means no results of this type were submitted.
Number of distinct technical replicates across all analyses (original submission and reanalyses) associated with this dataset.

The technical replicate count is defined as the maximum number of times any one distinct combination of condition and biological replicate was analyzed across all files submitted in the "Metadata" category. In the case of fractionated experiments, only the first fraction is considered.

"N/A" means no results of this type were submitted.
Originally identified proteins that were automatically remapped by MassIVE to proteins in the SwissProt human reference database.

"N/A" means no results of this type were submitted.
Number of distinct protein accessions reported across all analyses (original submission and reanalyses) associated with this dataset.

"N/A" means no results of this type were submitted.
Number of distinct unmodified peptide sequences reported across all analyses (original submission and reanalyses) associated with this dataset.

"N/A" means no results of this type were submitted.
Number of distinct peptide sequences (including modified variants or peptidoforms) reported across all analyses (original submission and reanalyses) associated with this dataset.

"N/A" means no results of this type were submitted.
Total number of peptide-spectrum matches (i.e. spectrum identifications) reported across all analyses (original submission and reanalyses) associated with this dataset.

"N/A" means no results of this type were submitted.
Number of distinct proteins quantified across all analyses (original submission and reanalyses) associated with this dataset.

Distinct protein accessions are counted across all files submitted in the "Statistical Analysis of Quantified Analytes" category having a "Protein" column in this dataset.

"N/A" means no results of this type were submitted.
Number of distinct proteins found to be differentially abundant in at least one comparison across all analyses (original submission and reanalyses) associated with this dataset.

A protein is differentially abundant if its change in abundance across conditions is found to be statistically significant with an adjusted p-value <= 0.05 and lists no issues associated with statistical tests for differential abundance.

Distinct protein accessions are counted across all files submitted in the "Statistical Analysis of Quantified Analytes" category having a "Protein" column in this dataset.

"N/A" means no results of this type were submitted.
This dataset may not contain all raw spectra data as originally deposited in PRIDE. It has been imported to MassIVE for reanalysis purposes, so its spectra data here may consist solely of processed peak lists suitable for reanalysis with most software.