PXD015087

PXD015087 is an original dataset announced via ProteomeXchange.

Title	High-flow chromatography for reproducible and high-throughput quantification of proteomes
Description	This study evaluates liquid-chromatography operated at 50 ul/min using 1 mm diameter columns coupled online to tandem mass spectrometry (LC-MS/MS) for proteome analysis. Data from >1,000 human cell line, tissue, body fluid, affinity- and phospho-proteomes demonstrate excellent chromatographic (<0.3 % CV) and quantitative (<7.5% CV) reproducibility. Combined with sample multiplexing by tandem mass tags, the system allows profiling of 11 proteomes in 16 hours to a depth of 8,000 proteins.
HostingRepository	PRIDE
AnnounceDate	2024-10-22
AnnouncementXML	Submission_2024-10-22_04:48:37.499.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Unsupported dataset by repository
PrimarySubmitter	Yangyang Bian
SpeciesList	scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationList	No PTMs are included in the dataset
Instrument	Orbitrap Fusion Lumos; Q Exactive HF; Q Exactive HF-X

Revision	Datetime	Status	ChangeLog Entry
0	2019-08-20 04:48:23	ID requested
1	2019-12-09 12:03:27	announced
2	2020-01-17 06:30:31	announced	2020-01-17: Updated publication reference for PubMed record(s): 31919466.
⏵ 3	2024-10-22 04:48:41	announced	2024-10-22: Updated project metadata.

Bian Y, Zheng R, Bayer FP, Wong C, Chang YC, Meng C, Zolg DP, Reinecke M, Zecha J, Wiechmann S, Heinzlmeir S, Scherr J, Hemmer B, Baynham M, Gingras AC, Boychenko O, Kuster B, Robust, reproducible and quantitative analysis of thousands of proteomes by micro-flow LC-MS/MS. Nat Commun, 11(1):157(2020) [pubmed]

10.1038/s41467-019-13973-x;

ProteomeXchange project tag: deep learning, benchmarking, machine learning

submitter keyword: High-flow LC, Chromatography, Proteomics, Body fluids, Kinobeads

Bernhard Kuster
contact affiliation	Chair of Proteomics and Bioanalytics, Technical University of Munich
contact email	kuster@tum.de
lab head
Yangyang Bian
contact affiliation	Chair of Proteomics and Bioanalytics, Technical University of Munich
contact email	yangyang.bian@tum.de
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/2019/12/PXD015087

PRIDE project URI

• PRIDE
  1. PXD015087
     1. Label: PRIDE project
     2. Name: High-flow chromatography for reproducible and high-throughput quantification of proteomes