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PXD015597

PXD015597 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleComparative Proteomics Analysis of Tibetan Hulless Barley under Drought Stress via Data-Independent Acquisition Mass Spectrometry
DescriptionTibetan hulless barley (Hordeum vulgare L. var. nudum) is one of the primary crops cultivated in the mountains of Tibet suffering from low temperature, high salinity, and drought. Specifically, drought is one of the major abiotic stresses that affect and limit Tibetan barley growth. Thus, it's critical to explore the molecular mechanism of hulless barley during arid or drought environmental conditions for improving crop yield. Here, we employed quantitative proteomics by data-independent acquisition mass spectrometry (DIA-MS) to investigate protein expression in tolerant (XL) and sensitive (DQ) cultivars.
HostingRepositoryiProX
AnnounceDate2019-09-26
AnnouncementXMLSubmission_2021-01-08_04:43:48.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterShaohang Xu
SpeciesList scientific name: Hordeum vulgare; NCBI TaxID: 4513;
ModificationListmonohydroxylated residue
InstrumentQ Exactive HF
Dataset History
RevisionDatetimeStatusChangeLog Entry
02019-09-26 01:38:16ID requested
12019-09-28 07:02:50announced
22021-01-08 04:43:49announced2021-01-08: Update publication information.
Publication List
Wang Y, Sang Z, Xu S, Xu Q, Zeng X, Jabu D, Yuan H, Comparative proteomics analysis of Tibetan hull-less barley under osmotic stress via data-independent acquisition mass spectrometry. Gigascience, 9(3):(2020) [pubmed]
Keyword List
submitter keyword: Tibetan hulless barley, drought stress, proteomics, DIA, quantification, abiotic stress
Contact List
Tashi Nyima
contact affiliationState Key Laboratory of Hulless Barley and Yak Germplasm Resources and Genetic Improvement, Lhasa 850002, China
contact emailnima_zhaxi@sina.com
lab head
Shaohang Xu
contact affiliationDeepxomics Co., Ltd., Shenzhen 518000, China.
contact emailxsh_skye@163.com
dataset submitter
Full Dataset Link List
iProX dataset URI