⮝ Full datasets listing
PXD076557
PXD076557 is an original dataset announced via ProteomeXchange.
Dataset Summary
| Title | Amelioration of motor deficit and pathologies by UA-30 via RalA-mediated mitophagy in a mouse model of amyotrophic lateral sclerosis |
| Description | In this study, TMT‑based quantitative proteomic analysis of mouse spinal cord (L4‑L5) and medulla oblongata tissues was performed using a workflow including protein extraction, trypsin digestion, TMT labeling, high‑pH RPLC fractionation (60 fractions) and LC‑MS/MS analysis. Therefore, two subprojects are included in this project. |
| HostingRepository | iProX |
| AnnounceDate | 2026-04-03 |
| AnnouncementXML | Submission_2026-04-02_23:22:16.174.xml |
| DigitalObjectIdentifier | |
| ReviewLevel | Peer-reviewed dataset |
| DatasetOrigin | Original dataset |
| RepositorySupport | Unsupported dataset by repository |
| PrimarySubmitter | Bingge Zhang |
| SpeciesList | scientific name: Mus musculus; NCBI TaxID: 10090; |
| ModificationList | No PTMs are included in the dataset |
| Instrument | Orbitrap Exploris 240 |
Dataset History
| Revision | Datetime | Status | ChangeLog Entry |
|---|---|---|---|
| 0 | 2026-04-02 23:20:59 | ID requested | |
| ⏵ 1 | 2026-04-02 23:22:16 | announced |
Publication List
| Dataset with its publication pending |
Keyword List
| submitter keyword: ALS, spinal cord, medulla oblongata |
Contact List
| Gongping Liu | |
|---|---|
| contact affiliation | School of Basic Medicine and the Collaborative Innovation Center for Brain Science, Key Laboratory of Ministry of Education of China and Hubei Province for Neurological Disorders, Tongji Medical College, Huazhong University of Science and Technology |
| contact email | liugp111@mail.hust.edu.cn |
| lab head | |
| Bingge Zhang | |
| contact affiliation | School of Basic Medicine and the Collaborative Innovation Center for Brain Science, Key Laboratory of Ministry of Education of China and Hubei Province for Neurological Disorders, Tongji Medical College, Huazhong University of Science and Technology |
| contact email | 1097965383@qq.com |
| dataset submitter | |
Full Dataset Link List
| iProX dataset URI |




