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PXD025784

PXD025784 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleDifferential protein expression in berry skin from red grapes with varying hybrid character
DescriptionProtein expression from berry skin of four different red grape biotypes was compared at a proteome-wide level by bottom-up shotgun proteomics, label free quantification and MaxQuant-assisted computational analysis. Red grapes were from a purebred Vitis vinifera (Aglianico cv.), a V. vinifera (local Sciascinoso cv.) grafted onto an American rootstock, an interspecific hybrid (V. vinifera × V. labrusca, Isabel) and an uncharacterized red grape with some hybrid lineage, as demonstrated by the presence of relatively high amounts of anthocyanidin 3,5-O-diglucosides. The aim was assessing the differences among red grape biotypes at a protein expression levels, also addressing the possible effect of the grafting on the phenotypic expression of some key metabolic enzymes in grape berries.
HostingRepositoryPRIDE
AnnounceDate2022-02-22
AnnouncementXMLSubmission_2022-02-22_04:35:52.745.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterGianluca Picariello
SpeciesList scientific name: Vitis vinifera (Grape); NCBI TaxID: 29760;
ModificationListiodoacetamide derivatized residue
InstrumentQ Exactive
Dataset History
RevisionDatetimeStatusChangeLog Entry
02021-05-04 01:42:48ID requested
12022-02-22 04:35:53announced
Publication List
Spada V, Di Stasio L, Ferranti P, Addeo F, Mamone G, Picariello G, Differential Protein Expression in Berry Skin from Red Grapes with Varying Hybrid Character. Int J Mol Sci, 23(3):(2022) [pubmed]
Keyword List
submitter keyword: red grape
berry skin
hybrid grapes
proteomics
glucosyltransferases
grafting
Contact List
Gianluca Picariello
contact affiliationInstitute of Food Sciences - National Research Council (CNR), Avellino, Italy
contact emailgianluca.picariello@isa.cnr.it
lab head
Gianluca Picariello
contact affiliationInstitute of Food Sciences - National Research Council (CNR)
contact emailgianluca.picariello@isa.cnr.it
dataset submitter
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Dataset FTP location
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