PXD016999-1

PXD016999 is an original dataset announced via ProteomeXchange.

Title	A Quantitative Proteome Map of the Human Body
Description	In this study, we quantified the relative protein levels from 12,627 genes across 32 normal human tissue types prepared by the GTEx project. Known and new tissue specific or enriched proteins were identified and compared to transcriptome data. Many ubiquitous transcripts are found to encode highly tissue specific proteins. Discordance in the sites of RNA expression and protein detection also revealed potential sites of synthesis and action of protein signaling molecules. Overall, these results provide an extraordinary resource, and demonstrate that understanding protein levels can provide insights into metabolism, regulation, secretome, and human diseases.
HostingRepository	PRIDE
AnnounceDate	2020-09-11
AnnouncementXML	Submission_2020-09-11_07:14:19.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Unsupported dataset by repository
PrimarySubmitter	Lihua Jiang
SpeciesList	scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationList	TMT6plex-126 reporter+balance reagent acylated residue; monohydroxylated residue; acetylated residue; iodoacetamide derivatized residue
Instrument	Orbitrap Fusion

Revision	Datetime	Status	ChangeLog Entry
0	2020-01-07 07:48:34	ID requested
⏵ 1	2020-09-11 07:14:19	announced
2	2020-09-24 01:44:29	announced	2020-09-24: Updated publication reference for PubMed record(s): 32916130.

Dataset with its publication pending

curator keyword: Biological

submitter keyword: quantitative proteomics of 32 normal human tissues

mike snyder
contact affiliation	Department of Genetics, Stanford University
contact email	mpsnyder@stanford.edu
lab head
Lihua Jiang
contact affiliation	Stanford University
contact email	lihuaj@stanford.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/2020/09/PXD016999

PRIDE project URI

• PRIDE
  1. PXD016999
     1. Label: PRIDE project
     2. Name: A Quantitative Proteome Map of the Human Body