PXD008938 is an
original dataset announced via ProteomeXchange.
Dataset Summary
| Title | Barley leaf sample preparation |
| Description | Barley is an important cereal crop all over the world. Detailed molecular characterization of barley provides the basis for development of improved cultivars, stress and drought-resistant plants. We here present an LC-MS/MS-based proteomics study of barley leaf aimed at optimization of methods to achieve efficient and unbiased trypsin digestion of proteins prior to LC-MS/MS based sequencing and quantification of peptides. We evaluated two spin filter-aided sample preparation protocols using either sodium dodecyl-sulphate (SDS) or sodium deoxycholate (SDC), and three in-solution digestion (ISD) protocols using SDC or trichloroacetic acid/acetone precipitation. The proteomics workflow identified up to 1800 barley proteins based on sequencing of up to 7700 peptides per sample. The two spin filter-based protocols provided a 17-38% higher efficiency than the ISD protocols, including more proteins of low abundance. Among the ISD protocols, a simple one-step reduction and S-alkylation method (OP-ISD) was the most efficient for barley leaf sample preparation; it identified and quantified 1500 proteins and displayed higher peptide-to-protein inference ratio and higher average amino acid sequence coverage of proteins. The two spin filter-aided sample preparation protocols are compatible with TMT labeling for quantitative proteomics studies. They exhibited complementary performance as about 30% of the proteins were identified by either one or the other protocol, but also demonstrated a positive bias for membrane proteins when using SDC as detergent. We provide detailed protocols for efficient barley protein sample preparation for LC-MS/MS-based proteomics studies. Spin filter-based protocols are the most efficient for the preparation of barley leaf samples for MS-based proteomics, however, a simple protocol provides comparable results although with different peptide digestion profile. |
| HostingRepository | PRIDE |
| AnnounceDate | 2018-09-03 |
| AnnouncementXML | Submission_2018-09-03_02:04:42.xml |
| DigitalObjectIdentifier | |
| ReviewLevel | Peer-reviewed dataset |
| DatasetOrigin | Original dataset |
| RepositorySupport | Unsupported dataset by repository |
| PrimarySubmitter | Wei-Qing Wang |
| SpeciesList | scientific name: Hordeum vulgare (Barley); NCBI TaxID: 4513; |
| ModificationList | No PTMs are included in the dataset |
| Instrument | LTQ Orbitrap Elite |
Dataset History
| Revision | Datetime | Status | ChangeLog Entry |
| 0 | 2018-02-13 01:25:05 | ID requested | |
| ⏵ 1 | 2018-09-03 02:04:43 | announced | |
| 2 | 2024-10-22 04:43:31 | announced | 2024-10-22: Updated project metadata. |
Publication List
| Wang WQ, Jensen ON, M, ΓΈ, ller IM, Hebelstrup KH, Rogowska-Wrzesinska A, Evaluation of sample preparation methods for mass spectrometry-based proteomic analysis of barley leaves. Plant Methods, 14():72(2018) [pubmed] |
Keyword List
| curator keyword: Biological |
| submitter keyword: Hordeum vulgare, in solution digestion, mass spectrometer, sodium deoxycholate, sample preparation |
Contact List
| Wei-Qing Wang |
| contact affiliation | Institute of Botany, the Chinese Academy of Sciences |
| contact email | wwq0814@ibcas.ac.cn |
| lab head | |
| Wei-Qing Wang |
| contact affiliation | Institute of Botany, the Chinese Academy of Sciences |
| contact email | wwq0814@ibcas.ac.cn |
| dataset submitter | |
Full Dataset Link List
Dataset FTP location
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| PRIDE project URI |
Repository Record List
[ + ]
[ - ]
- PRIDE
- PXD008938
- Label: PRIDE project
- Name: Barley leaf sample preparation