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PXD022242

PXD022242 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleMass spectrometry guided by transcriptomics reveals multiple classes of predicted antimicrobial peptides in Amaranthus tricolor
DescriptionTraditional medicinal plants are rich reservoirs of antimicrobial agents, including antimicrobial peptides (AMPs). Herein, Amaranthus tricolor AMPs predicted in silico are identified via proteomics profiling. Bottom-up proteomics identified seven novel peptides spanning three AMP classes including lipid transfer proteins, snakins and defensins. Characterization via top-down peptidomic analysis of Atr-SN1, Atr-DEF1, and Atr-LTP1 revealed unexpected proteolytic processing and enumerated disulfide bonds. These results highlight the potential for integrating AMP prediction algorithms with complementary -omics approaches to accelerate characterization of biologically relevant AMP peptidoforms.
HostingRepositoryPRIDE
AnnounceDate2021-04-08
AnnouncementXMLSubmission_2021-04-08_06:22:45.042.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterLeslie Hicks
SpeciesList scientific name: Amaranthus tricolor; NCBI TaxID: 29722;
ModificationListmonohydroxylated residue; iodoacetamide derivatized residue
InstrumentTripleTOF 5600
Dataset History
RevisionDatetimeStatusChangeLog Entry
02020-10-29 02:40:30ID requested
12021-04-08 06:22:46announced
Publication List
Moyer TB, Allen JL, Shaw LN, Hicks LM, Revealed by Prediction, Proteomics, and Mass Spectrometric Characterization. J Nat Prod, 84(2):444-452(2021) [pubmed]
Keyword List
submitter keyword: Antimicrobial peptides, Amaranthus tricolor, mass spectrometry, peptidomics
Contact List
Leslie M. Hicks
contact affiliationDepartment of Chemistry, University of North Carolina at Chapel Hiil, USA
contact emaillmhicks@unc.edu
lab head
Leslie Hicks
contact affiliationUniversity of North Carolina at Chapel Hill
contact emaillmhicks@unc.edu
dataset submitter
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Dataset FTP location
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