PXD009183-1

PXD009183 is an original dataset announced via ProteomeXchange.

Title	Analysis of the Byssus of Chinese Green Mussel proteomics by LC-MS/MS
Description	Here, we integrated high-throughput transcriptome and proteome sequencing to construct a comprehensive protein database for the byssus of Chinese green mussel (Perna viridis), aiming at providing novel insights into the molecular mechanisms of byssal binding to heavy metals.
HostingRepository	PRIDE
AnnounceDate	2019-04-30
AnnouncementXML	Submission_2019-04-30_11:11:49.xml
DigitalObjectIdentifier	https://dx.doi.org/10.6019/PXD009183
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Supported dataset by repository
PrimarySubmitter	He Yanbin
SpeciesList	scientific name: Perna viridis; NCBI TaxID: 73031;
ModificationList	deaminated residue; monohydroxylated residue; iodoacetamide derivatized residue; deamidated residue
Instrument	LTQ Orbitrap Velos

Revision	Datetime	Status	ChangeLog Entry
0	2018-03-12 05:24:01	ID requested
⏵ 1	2019-04-30 11:11:50	announced
2	2024-10-22 04:40:56	announced	2024-10-22: Updated project metadata.

Dataset with its publication pending

curator keyword: Biological

submitter keyword: Byssus,proteomics,LC-MSMS

Qiong shi
contact affiliation	Professor and president of BGI Academy of Marine Sciences
contact email	shiqiong@genomics.cn
lab head
He Yanbin
contact affiliation	+86 18565610792
contact email	heyanbin@genomics.cn
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/2019/04/PXD009183

PRIDE project URI

• PRIDE
  1. PXD009183
     1. Label: PRIDE project
     2. Name: Analysis of the Byssus of Chinese Green Mussel proteomics by LC-MS/MS