PXD067579
PXD067579 is an original dataset announced via ProteomeXchange.
Dataset Summary
| Title | Effects of Mos-Kinase inhibition on protein levels during meiosis of starfish oocytes |
| Description | The development of a haploid, fertilizable female gamete involves specialized meiotic divisions of the fully grown oocyte. An essential feature of oocyte meiosis is the reduction of genomic content to half, which is achieved by two successive divisions without an intervening S-phase. A known regulator of this event is a kinase called Mos that is exclusively expressed in oocytes during meiosis and activates the MEK/ERK/MAPK pathway. However, the downstream targets of the Mos-MAPK pathway and their significance in oocyte meiosis remains largely understudied. In this project, using phosphoproteomics on starfish (Patiria miniata) oocytes, we identify two predominant subsets of proteins that are targeted by Mos-MAPK at the critical time point - metaphase of meiosis I. These include proteins involved in CPE-mediated polyadenylation and cytoskeleton regulators. To complement this experiment, we performed DIA proteomics on Mos inhibited (20 micromolar U0126) and control oocytes at subsequent stages of meiosis (at 36 mins, 60 minutes and 90 minutes post hormone addition in U0126 inhibited oocytes and at metaphase I, meiosis I to meiosis II transition, metaphase II, 2 pronuclei and finally at the first mitotic division of the zygote for control oocytes). In this experiment, we identified 7,480 protein groups of which 5,103 protein groups could be quantified. We did not find significant changes in protein abundance across these time points and conditions, indicating that the proteome of starfish oocytes remains largely stable during meiosis. |
| HostingRepository | MassIVE |
| AnnounceDate | 2025-09-03 |
| AnnouncementXML | Submission_2025-09-03_04:53:30.962.xml |
| DigitalObjectIdentifier | |
| ReviewLevel | Peer-reviewed dataset |
| DatasetOrigin | Original dataset |
| RepositorySupport | Unsupported dataset by repository |
| PrimarySubmitter | Olexandr Dybkov |
| SpeciesList | scientific name: Patiria miniata; |
| ModificationList | No PTMs are included in the dataset |
| Instrument | Orbitrap Exploris 480 |
Dataset History
| Revision | Datetime | Status | ChangeLog Entry |
|---|---|---|---|
| 0 | 2025-08-21 10:49:23 | ID requested | |
| ⏵ 1 | 2025-09-03 04:53:31 | announced |
Publication List
| Ivan Avilov, Yehor Horokhovskyi, Pooja Mehta, Luisa Welp, Jasmin Jakobi, Mingfang Cai, Aleksander Orzechowski, Henning Urlaub, Juliane Liepe and Peter Lenart. Phosphoproteomic identification of Mos-MAPK targets in meiotic cell cycle and asymmetric division. doi: 10.1083/jcb.202312140. |
Keyword List
| submitter keyword: meiosis, cytoskeleton, translational regulation, oocytes, Patiria miniata, DatasetType:Proteomics |
Contact List
| Juliane Liepe | |
|---|---|
| contact affiliation | Research Group Quantitative and Systems Biology, Max Planck Institute for Multidisciplinary Sciences |
| contact email | juliane.liepe@mpinat.mpg.de |
| lab head | |
| Henning Urlaub | |
| contact affiliation | Research Group Bioanalytical Mass Spectrometry, Max Planck Institute for Multidisciplinary Sciences; Bioanalytics, Department of Clinical Chemistry, University Medical Center Goettingen |
| contact email | henning.urlaub@mpinat.mpg.de |
| lab head | |
| Peter Lenart | |
| contact affiliation | Research Group Cytoskeletal Dynamics in Oocytes, Max Planck Institute for Multidisciplinary Sciences |
| contact email | peter.lenart@mpinat.mpg.de |
| lab head | |
| Olexandr Dybkov | |
| contact affiliation | MPINAT |
| contact email | odybkov@mpinat.mpg.de |
| dataset submitter | |
Full Dataset Link List
| MassIVE dataset URI |
| 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://massive-ftp.ucsd.edu/v10/MSV000098905/ |




