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PXD017578 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleProteomic analysis of proteins responsive to drought and low temperature stress in a hard red spring wheat cultivar
DescriptionDrought stress is becoming more prevalent with global warming, and has been shown to have large effects on gluten proteins linked to wheat bread making quality. Likewise, low temperature stress can detrimentally affect proteins in wheat. This study was done to determine the differential expression of high molecular weight (HMW) glutenin proteins in a drought and low temperature stressed high quality hard red spring wheat cultivar (PAN3478), against a control. The treatments were applied in the greenhouse at the soft dough stage. HMW glutenin proteins were extracted from the flour, and separated by two-dimensional gel electrophoresis. Protein spots that had p values lower than 0.05 and fold value equal to or greater than 1.2 were considered significantly differentially expressed. These proteins were further analyzed by tandem mass spectrometry.
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterVera Muccilli
SpeciesList scientific name: Triticum aestivum (Wheat); NCBI TaxID: 4565;
ModificationListmonohydroxylated residue; iodoacetamide derivatized residue
Dataset History
RevisionDatetimeStatusChangeLog Entry
02020-02-18 02:43:57ID requested
12020-03-26 02:35:36announced
Publication List
Labuschagne M, Masci S, Tundo S, Muccilli V, Saletti R, van Biljon A, Proteomic Analysis of Proteins Responsive to Drought and Low Temperature Stress in a Hard Red Spring Wheat Cultivar. Molecules, 25(6):(2020) [pubmed]
Keyword List
submitter keyword: abiotic stress
bread wheat
Contact List
Salvatore Foti
contact affiliationDepartment of Chemical Sciences, Organic Mass Spectrometry Laboratory, University of Catania, Viale A. Doria 6, 95125 Catania, Italy
contact emailsfoti@unict.it
lab head
Vera Muccilli
contact affiliationDepartment of Chemical Sciences, University of Catania
contact emailv.muccilli@unict.it
dataset submitter
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