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PXD023052

PXD023052 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleProtein profile of commercial soybean milks analyzed by label-free quantitative proteomics
DescriptionThis study compared the protein profile of 15 different commercial soy milks using a label-free quantitative proteomics approach. Proteins related to nutrient reservoir activity, endopeptidase inhibitor activity, lipid binding, and seed maturation contribute the most in terms of percentage mass. Their associated Gene Oontology terms are also enriched. Samples could be clustered into three groups based on their protein composition, with glycinins and beta-conglycinins being the most influential for determining the clustering. Amino acid composition estimated from the proteomics data also reflects the clustering of samples. Twenty allergenic proteins varying in abundance were identified, with Gly m 5 and Gly m 6 being the predominantly abundant allergens.
HostingRepositoryPRIDE
AnnounceDate2021-03-11
AnnouncementXMLSubmission_2021-03-11_05:10:01.349.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterGiorgio Arrigoni
SpeciesList scientific name: Glycine max; NCBI TaxID: 3847;
ModificationListmonohydroxylated residue; iodoacetamide derivatized residue
InstrumentLTQ Orbitrap
Dataset History
RevisionDatetimeStatusChangeLog Entry
02020-12-10 07:36:05ID requested
12021-03-11 05:10:02announced
Publication List
Battisti I, Ebinezer LB, Lomolino G, Masi A, Arrigoni G, Protein profile of commercial soybean milks analyzed by label-free quantitative proteomics. Food Chem, 352():129299(2021) [pubmed]
Keyword List
submitter keyword: Plant-based milk
Soy milk
Soy drink
Proteomics
Allergen
Functional drink/beverage
Contact List
Giorgio Arrigoni
contact affiliationDepartment of Biomedical Sciences, University of Padova, Italy
contact emailgiorgio.arrigoni@unipd.it
lab head
Giorgio Arrigoni
contact affiliationUniversity of Padova
contact emailgiorgio.arrigoni74@gmail.com
dataset submitter
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Dataset FTP location
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