PXD011183

PXD011183 is an original dataset announced via ProteomeXchange.

Dataset Summary

Title	Urinary proteomics by 2DE and LC-MS/MS
Description	Despite research progresses, the chance to accurately predict the risk for diabetic nephropathy (DN) is still poor. Our goal is to develop new predictive tools of nephropathy starting from urine, which can be easily obtained using noninvasive procedures and it is directly related to kidney. In this study, urine from children with recent diagnosis of type 1 diabetes was subjected to proteomic analysis in comparison to age-matched controls. Targeted confirmation was performed on children with a longer history of diabetes using Western Blotting and applying a urinary lipidomic approach. To definitively understand whether the observed alterations could be related to diabetic nephropathy, urine from diabetic adults with or without albuminuria, which is an indication of nephropathy, was also examined. Our results showed that lipid metabolisms of prostaglandin and ceramide, which are significantly and specifically modified in association with DN, are already altered in children with a recent diabetes diagnosis.
HostingRepository	PRIDE
AnnounceDate	2018-11-04
AnnouncementXML	Submission_2018-11-04_15:50:18.xml
DigitalObjectIdentifier	https://dx.doi.org/10.6019/PXD011183
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Supported dataset by repository
PrimarySubmitter	Annapaola Andolfo
SpeciesList	scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationList	Oxidation; Acetyl; Carbamidomethyl
Instrument	Q Exactive; LTQ Orbitrap

Dataset History

Revision	Datetime	Status	ChangeLog Entry
0	2018-09-24 08:17:17	ID requested
⏵ 1	2018-11-04 15:50:19	announced

Publication List

Magagnotti C, Zerbini G, Fermo I, Carletti RM, Bonfanti R, Vallone F, Andolfo A, Identification of nephropathy predictors in urine from children with a recent diagnosis of type 1 diabetes. J Proteomics, 193():205-216(2019) [pubmed]

Magagnotti C, Zerbini G, Fermo I, Carletti RM, Bonfanti R, Vallone F, Andolfo A, Identification of nephropathy predictors in urine from children with a recent diagnosis of type 1 diabetes. J Proteomics, 193():205-216(2019) [pubmed]

Keyword List

curator keyword: Biomedical
submitter keyword: type 1 diabetes, predictive biomarkers, diabetic nephropathy, urine

curator keyword: Biomedical

submitter keyword: type 1 diabetes, predictive biomarkers, diabetic nephropathy, urine

Contact List

Annapaola Andolfo
contact affiliation	ProMiFa, Protein Microsequencing Facility San Raffaele Scientific Institute Via Olgettina, 60 20132-Milan Italy
contact email	andolfo.annapaola@hsr.it
lab head
Annapaola Andolfo
contact affiliation	Ospedale San Raffaele
contact email	andolfo.annapaola@hsr.it
dataset submitter

Full Dataset Link List

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PRIDE project 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://ftp.pride.ebi.ac.uk/pride/data/archive/2018/11/PXD011183

PRIDE project URI

Repository Record List

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