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PXD045698

PXD045698 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleLC-MS/MS analysis on in-vivo mice gastrointestinal digests
DescriptionFood protein amyloid fibrils have superior technological,nutritional,sensorial,and physical properties compared to native monomers, butthere is yet insufficient understanding of their digestive fate and safety for wide consumption.By combining SDS,ELISA,fluorenscence,AFM, MALDI-MS, CD microfluidics,and SAXS techniques for the characterization of blg and lysozyme amyloid fibrils subjected to in-vitro gastrointestinal digestion.LC-MS/MS analysis on the fate of blg/lysozyme amyloid fibrils digested in vivo by mice was applied to verify our in vitro results.
HostingRepositoryPRIDE
AnnounceDate2023-11-14
AnnouncementXMLSubmission_2023-11-14_09:13:42.369.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterDan Xu
SpeciesList scientific name: Mus musculus (Mouse); NCBI TaxID: 10090;
ModificationListNo PTMs are included in the dataset
InstrumentQ Exactive
Dataset History
RevisionDatetimeStatusChangeLog Entry
02023-09-26 07:41:35ID requested
12023-10-30 03:02:53announced
22023-11-14 09:13:44announced2023-11-14: Updated project metadata.
Publication List
Xu D, Zhou J, Soon WL, Kutzli I, Moli, รจ, re A, Diedrich S, Radiom M, Handschin S, Li B, Li L, Sturla SJ, Ewald CY, Mezzenga R, Food amyloid fibrils are safe nutrition ingredients based on in-vitro and in-vivo assessment. Nat Commun, 14(1):6806(2023) [pubmed]
Keyword List
submitter keyword: mice intestinal colon serum LC-MS
Contact List
Raffaele Mezzenga
contact affiliationDepartment of Health Science & Technology & Department of Materials, ETH Zurich,Schmelzbergstrasse 9,LFO,E23,8092 Zurich,Switzerland
contact emailraffaele.mezzenga@hest.ethz.ch
lab head
Dan Xu
contact affiliationSchool of Food Science and Engineering, Guangdong Province Key Laboratory for Green Processing of Natural Products and Product Safety, Engineering Research Center of Starch and Plant Protein Deep Processing, Ministry of Education, South China University of Technology, 381 Wushan Road, Tianhe District, Guangzhou, 510640, China
contact emaildanxu0913@outlook.com
dataset submitter
Full Dataset Link List
Dataset FTP location
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PRIDE project URI
Repository Record List
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