PXD038541

PXD038541 is an original dataset announced via ProteomeXchange.

Title	Modeling SILAC Data to Assess Protein Turnover in a Cellular Model of Diabetic Nephropathy
Description	Protein turnover rate is finely regulated through intracellular mechanisms and signals that are still incompletely understood but that are essential for the correct function of cellular processes. Indeed, a dysfunctional proteostasis often impacts on the ability of the cell to remove unfolded, misfolded, degraded, non-functional or damaged proteins. Thus, altered cellular mechanisms controlling protein turnover impinge on the pathophysiology of many diseases, making the study of protein synthesis and degradation rates an important step for a more comprehensive understanding of these pathologies. In this study we describe the application of a dynamic-SILAC approach to study the turnover rate and the abundance of proteins in a cellular model of diabetic nephropathy. We estimated protein half-lives and relative abundance for thousands of proteins, several of which are characterized by either an altered turnover rate or altered abundance between diabetic nephropathic subjects and diabetic controls. Many of these proteins were previously shown to be related to diabetic complications and represent therefore possible biomarkers or therapeutic targets.Beside the aspects strictly related to the pathological condition, our data represent alsoa consistent compendium of protein half-lives in human fibroblasts and a rich source of important information related to basic cell biology.
HostingRepository	PRIDE
AnnounceDate	2023-11-14
AnnouncementXML	Submission_2023-11-14_08:02:33.478.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Unsupported dataset by repository
PrimarySubmitter	Giorgio Arrigoni
SpeciesList	scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationList	monohydroxylated residue; iodoacetamide derivatized residue
Instrument	LTQ Orbitrap

Revision	Datetime	Status	ChangeLog Entry
0	2022-12-05 02:41:50	ID requested
1	2023-02-13 03:13:53	announced
⏵ 2	2023-11-14 08:02:34	announced	2023-11-14: Updated project metadata.

Di Camillo B, Puricelli L, Iori E, Toffolo GM, Tessari P, Arrigoni G, Modeling SILAC Data to Assess Protein Turnover in a Cellular Model of Diabetic Nephropathy. Int J Mol Sci, 24(3):(2023) [pubmed]

submitter keyword: LC-MS/MS

protein turnover rate

protein half-life

SILAC

diabetes

nephropathy

fibroblasts

Giorgio Arrigoni
contact affiliation	Depatment of Biomedical Sciences, University of Padova, Italy
contact email	giorgio.arrigoni@unipd.it
lab head
Giorgio Arrigoni
contact affiliation	University of Padova
contact email	giorgio.arrigoni74@gmail.com
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/2023/02/PXD038541

PRIDE project URI

• PRIDE
  1. PXD038541
     1. Label: PRIDE project
     2. Name: Modeling SILAC Data to Assess Protein Turnover in a Cellular Model of Diabetic Nephropathy