PXD002170

PXD002170 is an original dataset announced via ProteomeXchange.

Title	Comparative analysis of label-free and 8-plex iTRAQ approach for quantitative tissue proteomic analysis
Description	MS-based approaches have been successfully utilized for the comprehensive characterization of the cell proteome. However, in the case of quantitative proteomics the open question still remains, which quantification method is more suitable for identification of proteins with the altered abundance, particularly for the highly complex clinical samples. In this study, a thorough comparison of label-free method (intensity-based) and 8-plex iTRAQ was conducted as applied to the analysis of tumor samples from non-muscle invasive and muscle-invasive bladder cancer. In the case of the label-based approach, the results obtained for the unfractionated and fractionated sample were included. To obtain representative results from each approach, both experiments were conducted according to routinely applicable protocols. Additionally, the sampling procedure was standardized to reduce the effect of biological and analytical variability on the quantification results.
HostingRepository	PRIDE
AnnounceDate	2015-09-09
AnnouncementXML	Submission_2015-09-09_06:36:44.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Unsupported dataset by repository
PrimarySubmitter	Agnieszka Latosinska
SpeciesList	scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationList	monohydroxylated residue; iTRAQ8plex-116 reporter+balance reagent acylated residue; iodoacetamide derivatized residue
Instrument	LTQ Orbitrap Velos

Revision	Datetime	Status	ChangeLog Entry
0	2015-05-12 07:39:19	ID requested
⏵ 1	2015-09-09 06:36:45	announced

Latosinska A, Vougas K, Makridakis M, Klein J, Mullen W, Abbas M, Stravodimos K, Katafigiotis I, Merseburger AS, Zoidakis J, Mischak H, Vlahou A, Jankowski V, Comparative Analysis of Label-Free and 8-Plex iTRAQ Approach for Quantitative Tissue Proteomic Analysis. PLoS One, 10(9):e0137048(2015) [pubmed]

curator keyword: Biomedical, Technical

submitter keyword: LC-MS/MS, bladder cancer, iTRAQ, label-free, tissue proteomics

Dr Antonia Vlahou
contact affiliation	Biotechnology Division, Centre of Basic Research, Biomedical Research Foundation of the Academy of Athens (BRFAA) Athens, Greece
contact email	vlahoua@bioacademy.gr
lab head
Agnieszka Latosinska
contact affiliation	Biomedical Research Foundation, Academy of Athens, Greece
contact email	latosinska@mosaiques-diagnostics.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/2015/09/PXD002170

PRIDE project URI

• PRIDE
  1. PXD002170
     1. Label: PRIDE project
     2. Name: Comparative analysis of label-free and 8-plex iTRAQ approach for quantitative tissue proteomic analysis