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PXD033940-1

PXD033940 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleAn optimized proteomics approach reveals novel alternative proteins in mouse liver development
DescriptionAlternative open reading frames (AltORFs) are unannotated sequences in genome that encode novel peptides or proteins named alternative proteins (AltProts). Although ribosome profiling and bioinformatics predict a large number of AltProts, mass spectrometry (MS) as the only direct way of identification, is hampered by the short lengths and relative low abundance of AltProts. Here we report an approach based on size-exclusion chromatography (SEC) for simultaneous enrichment and fractionation of AltProts from mouse livers. With this strategy we compared and discovered 89 novel AltProts between embryonic and adult mouse livers and will extend our optimized workflow in various disease models in future study.
HostingRepositoryPRIDE
AnnounceDate2022-12-23
AnnouncementXMLSubmission_2022-12-23_04:37:46.681.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterYingYANG
SpeciesList scientific name: Mus musculus (Mouse); NCBI TaxID: 10090;
ModificationListacetylated residue; monohydroxylated residue; iodoacetic acid derivatized residue
InstrumentOrbitrap Exploris 480
Dataset History
RevisionDatetimeStatusChangeLog Entry
02022-05-17 08:28:28ID requested
12022-12-23 04:37:47announced
22023-11-14 08:56:08announced2023-11-14: Updated project metadata.
Publication List
Keyword List
submitter keyword: liver development., mass spectrometry, fractionation,Alternative open reading frames (AltORFs), alternative proteins (AltProts), enrichment
Contact List
QianZhao
contact affiliationState Key Laboratory of Chemical Biology and Drug Discovery, Department of Applied Biology and Chemical Technology, The Hong Kong Polytechnic University, Hong Kong, SAR, China
contact emailq.zhao@polyu.edu.hk
lab head
YingYANG
contact affiliationthe Hong Kong Polytechnic University
contact email20033267r@connect.polyu.hk
dataset submitter
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Dataset FTP location
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