PXD005590

PXD005590 is an original dataset announced via ProteomeXchange.

Title	In-depth and reproducibly quantitation of benchmark dataset consiting of 20 files
Description	We prepared a benchmark dataset where the various levels of spikeed-in E. Coli proteome that true fold change (i.e. 1 fold, 1.5 fold, 2 fold, 2.5 fold and 3 fold) and true identities of positives/negatives (i.e. E.Coli proteins are true positives while Human proteins are true negatives) are known. To best mimic the proteomics application in comparison of multiple replicates, each fold change
HostingRepository	PRIDE
AnnounceDate	2017-04-20
AnnouncementXML	Submission_2017-04-20_01:50:47.xml
DigitalObjectIdentifier	https://dx.doi.org/10.6019/PXD005590
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Supported dataset by repository
PrimarySubmitter	XIAOMENG SHEN
SpeciesList	scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationList	Oxidation; Acetyl; Carbamidomethyl
Instrument	Orbitrap Fusion Lumos

Revision	Datetime	Status	ChangeLog Entry
0	2016-12-16 09:05:47	ID requested
⏵ 1	2017-04-20 01:50:48	announced

Shen X, Shen S, Li J, Hu Q, Nie L, Tu C, Wang X, Orsburn B, Wang J, Qu J, An IonStar Experimental Strategy for MS1 Ion Current-Based Quantification Using Ultrahigh-Field Orbitrap: Reproducible, In-Depth, and Accurate Protein Measurement in Large Cohorts. J Proteome Res, 16(7):2445-2456(2017) [pubmed]

curator keyword: Technical

submitter keyword: human, E.coli, LC-MS

JUN QU
contact affiliation	Department of Pharmaceutical Sciences, University at Buffalo
contact email	JUNQU@BUFFALO.EDU
lab head
XIAOMENG SHEN
contact affiliation	University at Buffalo
contact email	xiaomeng@buffalo.edu
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/2017/04/PXD005590

PRIDE project URI

• PRIDE
  1. PXD005590
     1. Label: PRIDE project
     2. Name: In-depth and reproducibly quantitation of benchmark dataset consiting of 20 files