⮝ Full datasets listing

PXD057183

PXD057183 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleRole of immune dysfunction in Moyamoya disease - LCM proteomics
DescriptionMoyamoya disease (MMD) is a rare and progressive cerebrovascular disorder characterized by the gradual stenosis (narrowing) and occlusion of critical intracranial arteries. The etiology of this disease is still unknown. Here we use Laser capture microdissection followed by shotgun proteomics to analyse the brain of a moyamoya patient. We found that phenotypic switching of VSMCs may be involved in the occlusion of the arteries. In addition, invasion of immune cells such as macrophages, in the occluding tissue were found, strengthening the hypothesis that an abberant immune response to infection may be one of the key mechanisms in MMD pathology.
HostingRepositoryPRIDE
AnnounceDate2025-10-20
AnnouncementXMLSubmission_2025-10-20_05:42:53.622.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterPatrick Willems
SpeciesList scientific name: Homo sapiens (Human); NCBI TaxID: NEWT:9606;
ModificationListNo PTMs are included in the dataset
InstrumenttimsTOF SCP
Dataset History
RevisionDatetimeStatusChangeLog Entry
02024-10-25 01:27:09ID requested
12025-10-20 05:42:54announced
Publication List
Dataset with its publication pending
Keyword List
submitter keyword: Moyamoya disease, intracranial artery, laser capture microdissection
Contact List
Francis Impens
contact affiliationVIB-UGent Center for Medical Biotechnology, Ghent, Belgium
contact emailFrancis.Impens@UGent.be
lab head
Patrick Willems
contact affiliationGhent University
contact emailpatwille.willems@ugent.be
dataset submitter
Full Dataset Link List
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://ftp.pride.ebi.ac.uk/pride/data/archive/2025/10/PXD057183
PRIDE project URI
Repository Record List
[ + ]