Proteomics

Dataset Information

0

Molecular pathways modifying progranulin deficiency phenotypes in mouse models


ABSTRACT: Haploinsufficiency of the progranulin (PGRN) protein is a leading cause of frontotemporal lobar degeneration (FTLD). Mouse models have been developed to study PGRN functions. However, PGRN deficiency in the commonly used C56BL/6 mouse strain background leads to very mild phenotypes, and pathways regulating PGRN deficiency phenotypes remain to be elucidated. We generated PGRN-deficient mice in the FVB/N background and compared PGRN deficiency phenotypes between C56BL/6 and FVB/N background via immunostaining, western blot, RNA-seq, and proteomics approaches. We also identified sPLA2-IIA as a novel binding partner of PGRN and demonstrated the importance of sPLA2-IIA in modifying PGRN deficiency phenotypes using inhibitor treatment and AAV-mediated overexpression in mouse models. We report that PGRN loss in the FVB/N mouse strain results in earlier onset and stronger FTLD-related and lysosome-related phenotypes. We found that PGRN interacts with sPLA2-IIA, a member of the secreted phospholipase A2 (sPLA2) family member and a key regulator of inflammation that is expressed in FVB/N but not C56BL/6 background. sPLA2-IIA inhibition rescues PGRN deficiency phenotypes and sPLA2-IIA overexpression drives enhanced gliosis and lipofuscin accumulation in PGRN-deficient mice. Additionally, RNA-seq and proteomics analysis revealed that mitochondrial pathways are upregulated in the PGRN-deficient C57BL/6 mice but not in the FVB/N mice. Our studies establish a better mouse model for FTLD-GRN and uncover novel pathways modifying PGRN deficiency phenotypes.

INSTRUMENT(S): Q Exactive HF-X

ORGANISM(S): Mus Musculus (ncbitaxon:10090)

SUBMITTER: Fenghua Hu  

PROVIDER: MSV000097392 | MassIVE | Thu Mar 20 16:36:00 GMT 2025

REPOSITORIES: MassIVE

Dataset's files

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

Similar Datasets

2023-07-16 | GSE235515 | GEO
2024-01-18 | GSE180672 | GEO
2023-11-15 | GSE237106 | GEO
2023-11-15 | GSE237105 | GEO
2023-11-15 | GSE237104 | GEO
2015-09-02 | E-GEOD-15293 | ExpressionAtlas
2021-09-07 | PXD027119 | Pride
2022-09-18 | PXD035889 | Pride
2010-11-10 | E-GEOD-19211 | biostudies-arrayexpress
2021-06-16 | GSE178257 | GEO