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PXD044090

PXD044090 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleLactylome analysis reveals HADHA lactylation controls energy homeostasis to promote sepsis-induced myocardial depression.
DescriptionSerum lactate levels are interpreted as a marker of tissue hypoxia and often used clinically as an indicator of severity and outcome of patients with sepsis/septic shock. Glycolysis-derived lactate was identified as a substrate for lysine lactylation (Kla), which is a recently described type of posttranslational modification. However, the impact of lactylation on biological processes of sepsis-induced myocardial depression remains largely unknown. Here, we conduct lactylome and proteome profiling, and quantify 1,127 Kla sites, of which 83 are differentially lactated in sepsis-induced myocardial depression. We develop a deep learning-based framework to prioritize the lactylation at K166 and K728 of trifunctional enzyme subunit alpha (HADHA) to be functionally important. We perform validations to show that lactylation of HADHA at K166 and K728 is influenced both by endogenous and exogenous lactate, and further verify that lactylation at K166 and K728 inhibits the activity of HADHA, decreasing ATP production, an
HostingRepositoryiProX
AnnounceDate2023-07-26
AnnouncementXMLSubmission_2023-07-25_19:45:23.784.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterTiening Zhang
SpeciesList scientific name: Rattus rattus; NCBI TaxID: 10117;
ModificationListlactic acid
InstrumenttimsTOF Pro
Dataset History
RevisionDatetimeStatusChangeLog Entry
02023-07-25 19:45:05ID requested
12023-07-25 19:45:24announced
Publication List
Dataset with its publication pending
Keyword List
submitter keyword: Lactylation, metabolism, sepsis, heart dysfunction, lactylome
Contact List
Tiening Zhang
contact affiliationShengjing Hospital of China Medical University
contact emailcmuztn@vip.qq.com
lab head
Tiening Zhang
contact affiliationShengjing Hospital of China Medical University
contact emailcmuztn@vip.qq.com
dataset submitter
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