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PXD055720

PXD055720 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleSTAT3S727 Phosphorylation in VTA Dopaminergic Neurons Competed by O-GlcNAcylation Regulates Acute Stress-Induced Anxiety and Reward Inhibition
DescriptionAcute stress can inhibit the activity of dopaminergic neurons in the ventral tegmental area (VTA), leading to increased anxiety and reduced sensitivity to natural rewards. However, the molecular mechanisms underlying this effect remain unclear. Our study shows that acute restraint stress increases the phosphorylation of the transcription factor STAT3 at Ser727 and Tyr705 in VTA dopaminergic neurons, enhancing its transcriptional activity. This modulation contributes to the inhibition of dopaminergic neuron activity, heightened anxiety, and reduced reward sensitivity. Furthermore, acute stress also promotes O-GlcNAcylation in VTA neurons, which competes with STAT3 Ser727 but not Tyr705 phosphorylation and modulates its transcriptional activity, leading to alterations in GABA receptor expression. This reveals a complex molecular feedback mechanism where O-GlcNAcylation regulates STAT3 activity to maintain brain homeostasis during acute stress responses.
HostingRepositoryiProX
AnnounceDate2024-09-07
AnnouncementXMLSubmission_2024-09-09_00:40:36.147.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterFeifei Wang
SpeciesList scientific name: Mus musculus; NCBI TaxID: 10090;
ModificationListNo PTMs are included in the dataset
InstrumenttimsTOF Pro
Dataset History
RevisionDatetimeStatusChangeLog Entry
02024-09-09 00:40:18ID requested
12024-09-09 00:40:36announced
Publication List
Dataset with its publication pending
Keyword List
submitter keyword: STAT3 O-GlcNAcylation Regulates Acute Stress-Induced Anxiety
Contact List
Feifei Wang
contact affiliationFudan university
contact emailffwang@fudan.edu.cn
lab head
Feifei Wang
contact affiliationInstitutes of Brain Science, Fudan University
contact email21111520027@m.fudan.edu.cn
dataset submitter
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