PXD030188
PXD030188 is an original dataset announced via ProteomeXchange.
Dataset Summary
Title | Lysosomal proteomics links disturbances in lipid homeostasis and sphingolipid metabolism to CLN5 disease. |
Description | The CLN5 disease (MIM: 256731) represents a rare late-infantile form of neuronal ceroid lipofuscinosis (NCL) caused by mutations in the CLN5 gene that encodes a CLN5 protein (CLN5p), whose physiological roles remain unanswered. No cure is currently available for CLN5 patients and the opportunities for therapies are lagging behind. The role of lysosomes in neuro-pathophysiology of CLN5 disease represents an important topic since lysosomal proteins are directly involved in the primary mechanisms of neuronal injury occurring in various NCL forms. We developed and implemented a lysosome-focused, label-free quantitative proteomics approach followed by functional validations in both CLN5-knockout neuronal-like cell lines and Cln5-/- mice, to unravel affected pathways and modifying factors involved in this disease -scenario. Our results revealed a key role of CLN5p in lipid homeostasis and sphingolipid metabolism, representing a possible connection to the activation of mitochondria-driven cell death and mitophagy, other features of CLN5 disease. To translate findings from preclinical models to patients, we evaluated in vitro if FDA-approved drugs promoting autophagy via TFEB activation or inhibition of the glucosylceramide synthase could modulate ROS and lipids overproduction. We further tested in vivo, the efficacy of drugs in rescuing the locomotor function in a newly generated cln5 knockdown zebrafish model, recapitulating most of the pathological features seen in NCL. In summary, our data advances general understanding of pathogenetic mechanisms in CLN5 disease, stipulating new pharmacological treatments. |
HostingRepository | MassIVE |
AnnounceDate | 2022-06-05 |
AnnouncementXML | Submission_2022-06-05_12:06:57.744.xml |
DigitalObjectIdentifier | |
ReviewLevel | Peer-reviewed dataset |
DatasetOrigin | Original dataset |
RepositorySupport | Unsupported dataset by repository |
PrimarySubmitter | Maciej Lalowski |
SpeciesList | scientific name: Homo sapiens; common name: human; NCBI TaxID: 9606; scientific name: Mus musculus; common name: house mouse; NCBI TaxID: 10090; |
ModificationList | Carbamidomethyl; Deamidated; Oxidation |
Instrument | Synapt G2-S HDMS |
Dataset History
Revision | Datetime | Status | ChangeLog Entry |
---|---|---|---|
0 | 2021-12-05 06:51:39 | ID requested | |
⏵ 1 | 2022-06-05 12:06:58 | announced |
Publication List
Stefano Doccini*, Maria Marchese, Federica Morani, Nicola Gammaldi, Serena Mero, Francesco Pezzini, Rabah Soliymani, Melissa Santi, Giovanni Signore, Asahi Ogi, Silvia Rocchiccioli, Katja M. Kanninen, Alessandro Simonati, Maciej M. Lalowski*, Filippo M. Santorelli*. Lysosomal Proteomics Links Disturbances in Lipid Homeostasis and Sphingolipid Metabolism to CLN5 Disease. Cells 2022, 11, 1840. https://doi.org/10.3390/cells11111840. |
Keyword List
submitter keyword: NCL, CLN5 disease, lysosomes, lysosomal proteomics, trehalose, misglustat |
Contact List
Maciej Lalowski | |
---|---|
contact affiliation | Helsinki Institute for Life Science (HiLIFE) and Faculty of Medicine, Biochemistry/Developmental Biology, Meilahti Clinical Proteomics Core Facility, University of Helsinki, Helsinki, FI-00014 |
contact email | maciej.lalowski@helsinki.fi |
lab head | |
Filippo M. Santorelli | |
contact affiliation | IRCCS Fondazione Stella Maris, via dei Giacinti 2, 56128 Pisa |
contact email | filippo3364@gmail.com |
lab head | |
Maciej Lalowski | |
contact affiliation | University of Helsinki/Medicum |
contact email | maciej.lalowski@helsinki.fi |
dataset submitter |
Full Dataset Link List
MassIVE dataset URI |
Dataset FTP location NOTE: Most web browsers have now discontinued native support for FTP access within the browser window. But you can usually install another FTP app (we recommend FileZilla) and configure your browser to launch the external application when you click on this FTP link. Or otherwise, launch an app that supports FTP (like FileZilla) and use this address: ftp://massive.ucsd.edu/MSV000088517/ |