PXD062017 is an
original dataset announced via ProteomeXchange.
Dataset Summary
| Title | Qualitative proteomics of Priestia megaterium |
| Description | Polyhydroxyalkanoates (PHAs) production using cellulosic biomass is a promising way for sustainable manufacturing of bioplastics. The famous bacterium, Priestia megaterium, is an ideal choice because it can utilize glucose and xylose for PHA synthesis. In the present study, we engineered the genome of P. megaterium by CRISPR-Cas9 system to enhance cellobiose utilization and PHA production. The genes encoding for β-glucosidases (Bgls) from different microbes were introduced into the P. megaterium to improve the cellobiose utilization. |
| HostingRepository | PRIDE |
| AnnounceDate | 2026-04-03 |
| AnnouncementXML | Submission_2026-04-02_17:22:30.489.xml |
| DigitalObjectIdentifier | |
| ReviewLevel | Peer-reviewed dataset |
| DatasetOrigin | Original dataset |
| RepositorySupport | Unsupported dataset by repository |
| PrimarySubmitter | Taichi E. Takasuka |
| SpeciesList | scientific name: Priestia megaterium NBRC 15308 = ATCC 14581; NCBI TaxID: NEWT:1348623; |
| ModificationList | monohydroxylated residue; iodoacetamide derivatized amino-terminal residue |
| Instrument | Q Exactive Plus |
Dataset History
| Revision | Datetime | Status | ChangeLog Entry |
| 0 | 2025-03-19 00:51:15 | ID requested | |
| ⏵ 1 | 2026-04-02 17:22:30 | announced | |
Publication List
| Dataset with its publication pending |
Keyword List
| submitter keyword: P. megaterium, PHA, glucosidase |
Contact List
| Taichi E. Takasuka |
| contact affiliation | Research Faculty of Agriculture, Hokkaido University, Sapporo, Japan |
| contact email | tendo.nd@gmail.com |
| lab head | |
| Taichi E. Takasuka |
| contact affiliation | Research Faculty of Agriculture, Hokkaido University |
| contact email | tendo.nd@gmail.com |
| dataset submitter | |
Full Dataset Link List
Dataset FTP location
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| PRIDE project URI |
Repository Record List
[ + ]
[ - ]
- PRIDE
- PXD062017
- Label: PRIDE project
- Name: Qualitative proteomics of Priestia megaterium