PXD037709

PXD037709 is an original dataset announced via ProteomeXchange.

Title	The TriMet_DB: a manually curated database of the metabolic proteins of Triticum aestivum
Description	Mass spectrometry-based wheat proteomics is challenging because the current interpretation of mass spectrometry data relies on public databases that are not exhaustive (UniProtKB/Swiss-Prot) or contain many redundant and poor or un-annotated entries (UniProtKB/TrEMBL). Here we report the development of a manually curated database of the metabolic proteins of Triticum aestivum (hexaploid wheat), named TriMet_DB (Triticum aestivum Metabolic Proteins DataBase). The manually curated TriMet_DB was generated in FASTA format, so that it can be read directly by programs used to interpret the mass spectrometry data. Furthermore, the complete list of entries included in the TriMet_DB is reported in a freely available resource, which includes for each protein the description, the gene code, the protein family,and the allergen name (if any). To evaluate its performance, the TriMet_DB was used to interpret the mass spectrometry data acquired on the metabolic protein fraction extracted from the MEC cultivar of Triticum aestivum.
HostingRepository	PRIDE
AnnounceDate	2023-11-14
AnnouncementXML	Submission_2023-11-14_08:40:30.607.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Unsupported dataset by repository
PrimarySubmitter	Antonella Di Francesco
SpeciesList	scientific name: Triticum aestivum (Wheat); NCBI TaxID: 4565;
ModificationList	No PTMs are included in the dataset
Instrument	Orbitrap Fusion

Revision	Datetime	Status	ChangeLog Entry
0	2022-10-25 04:45:04	ID requested
1	2023-03-11 02:15:05	announced
⏵ 2	2023-11-14 08:40:31	announced	2023-11-14: Updated project metadata.

Cunsolo V, Di Francesco A, Pittal, à MGG, Saletti R, Foti S, . Nutrients, 14(24):(2022) [pubmed]

submitter keyword: manually curated database

mass spectrometry-based proteomics

wheat

Triticum aestivum

metabolic proteins

Vincenzo Cunsolo
contact affiliation	University of Catania
contact email	vcunsolo@unict.it
lab head
Antonella Di Francesco
contact affiliation	University of Catania
contact email	antonella.difrancesco@unict.it
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/2023/03/PXD037709

PRIDE project URI

• PRIDE
  1. PXD037709
     1. Label: PRIDE project
     2. Name: The TriMet_DB: a manually curated database of the metabolic proteins of Triticum aestivum