PXD055854 is an
original dataset announced via ProteomeXchange.
Dataset Summary
Title | Deep learning to decode sites of RNA translation in normal and cancerous tissues |
Description | The biological process of RNA translation is fundamental to cellular life and has wide-ranging implications for human disease. Yet, accurately delineating the variation in RNA translation represents a significant challenge. Here, we develop RiboTIE, a transformer model-based approach to map global RNA translation. We find that RiboTIE offers unparalleled precision and sensitivity for ribosome profiling data. Application of RiboTIE to normal brain and medulloblastoma cancer samples enables high-resolution insights into disease regulation of RNA translation. |
HostingRepository | PRIDE |
AnnounceDate | 2024-12-13 |
AnnouncementXML | Submission_2024-12-13_11:01:08.524.xml |
DigitalObjectIdentifier | |
ReviewLevel | Peer-reviewed dataset |
DatasetOrigin | Original dataset |
RepositorySupport | Unsupported dataset by repository |
PrimarySubmitter | Jim Clauwaert |
SpeciesList | scientific name: Homo sapiens (Human); NCBI TaxID: 9606; |
ModificationList | monohydroxylated residue; deamidated residue; iodoacetamide derivatized residue |
Instrument | Orbitrap Ascend |
Dataset History
Revision | Datetime | Status | ChangeLog Entry |
0 | 2024-09-13 11:27:50 | ID requested | |
⏵ 1 | 2024-12-13 11:01:08 | announced | |
Publication List
Dataset with its publication pending |
Keyword List
submitter keyword: Ribosome profiling, mass spectrometry,Medulloblastoma |
Contact List
John Prensner |
contact affiliation | Department of Pediatrics and Biological Chemistry, University of Michigan |
contact email | prensner@umich.edu |
lab head | |
Jim Clauwaert |
contact affiliation | University of Michigan |
contact email | jimclauwaert@gmail.com |
dataset submitter | |
Full Dataset Link List
Dataset FTP location
NOTE: Most web browsers have now discontinued native support for FTP access within the browser window. But you can usually install another FTP app (we recommend FileZilla) and configure your browser to launch the external application when you click on this FTP link. Or otherwise, launch an app that supports FTP (like FileZilla) and use this address: ftp://ftp.pride.ebi.ac.uk/pride/data/archive/2024/12/PXD055854 |
PRIDE project URI |
Repository Record List
[ + ]
[ - ]
- PRIDE
- PXD055854
- Label: PRIDE project
- Name: Deep learning to decode sites of RNA translation in normal and cancerous tissues