PXD013794

PXD013794 is an original dataset announced via ProteomeXchange.

Title	Proteomics characterization of extracellular vesicles sorted by flow cytometry reveals a disease-specific molecular cross-talk from cerebrospinal fluid and tears in multiple sclerosis
Description	Several proteomics studies have been conducted to identify new cerebrospinal fluid (CSF) biomarkers in Multiple Sclerosis (MuS). However, the complexity of CSF and its invasive collection, limits its use. Therefore, the goal of biomarker research in MuS is to identify novel distinctive targets in CSF or in easily accessible biofluids. Tears represent an interesting matrix for this purpose, because (1) tears are related to the central nervous system (CNS) and (2) the CNS contains Extracellular Vesicles (EVs) derived from brain cells. These EVs are emerging new biomarkers associated to several neurological disorders. Here we applied an optimized flow cytometer for the identification and subtyping of EVs from CSF and tears. We found, for the first time, microglia-derived and neural-derived EVs in tears. The flow cytometer was used to sort and purify 106 EVs from untouched CSF and tears of MuS patients and healthy subjects. Purified EVs were analysed with shotgun proteomics analysis, revealing that EVs from both CSF and tears of MuS patients conveyed similar proteins. Our data demonstrated a specific EVs-mediated molecular cross talk between CSF and tears, which opens the door to new diagnostic perspectives for MuS.
HostingRepository	PRIDE
AnnounceDate	2019-06-06
AnnouncementXML	Submission_2019-06-14_00:28:24.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Unsupported dataset by repository
PrimarySubmitter	Piero Del Boccio
SpeciesList	scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationList	monohydroxylated residue; iodoacetamide derivatized residue; deamidated residue
Instrument	maXis

Revision	Datetime	Status	ChangeLog Entry
0	2019-05-10 01:53:30	ID requested
1	2019-06-06 03:49:58	announced
⏵ 2	2019-06-14 00:28:25	announced	Updated publication reference for PubMed record(s): 31170500.

Pieragostino D, Lanuti P, Cicalini I, Cufaro MC, Ciccocioppo F, Ronci M, Simeone P, Onofrj M, van der Pol E, Fontana A, Marchisio M, Del Boccio P, Proteomics characterization of extracellular vesicles sorted by flow cytometry reveals a disease-specific molecular cross-talk from cerebrospinal fluid and tears in multiple sclerosis. J Proteomics, 204():103403(2019) [pubmed]

submitter keyword: Proteomics

Extracellular Vesicles

FACS Sorting

CSF

Tears

Multiple Sclerosis.

Piero Del Boccio
contact affiliation	Department of Pharmacy, University ‘‘G. d’Annunzio’’ of Chieti-Pescara, Chieti, Italy
contact email	piero.delboccio@unich.it
lab head
Piero Del Boccio
contact affiliation	University "G. d'Annunzio" of Chieti-Pescara
contact email	piero.delboccio@unich.it
dataset submitter

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/2019/06/PXD013794

PRIDE project URI

• PRIDE
  1. PXD013794
     1. Label: PRIDE project
     2. Name: Proteomics characterization of extracellular vesicles sorted by flow cytometry reveals a disease-specific molecular cross-talk from cerebrospinal fluid and tears in multiple sclerosis