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PXD022561 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleMulti-omics profiling of human pancreatic islet dysregulation from normoglycemia to type 2 diabetes
DescriptionType-2 diabetes (T2D) mellitus results from a complex interplay of genetic and environmental factors leading to deficient insulin secretion from pancreatic islet beta cells. Here, we provide a the first comprehensive study of the human islet state of metabolically profiled pancreatectomized living human donors in relationship to glycemic control integrating clinical traits with multiple in situ islet and pre-operative blood omics datasets across the glycemia continuum from non diabetic healthy to overt T2D levels. Our transcriptomics and proteomics data suggest that progressive dysregulation of islet gene expression associated with increasing glucose intolerance is a disharmonic process resembling a non-linear trajectory of mature beta cell states towards trans-differentiation. Furthermore, we identify a unique islet gene set altered already in early-onset glucose intolerance and that, which correlates well across HbA1c levels - the gold-standard in clinical monitoring. Our findings reach beyond conventional clinical thresholds and can serve as direct or indirect prognostic markers for beta cell failure.
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterMario Oroshi
SpeciesList scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationListmonohydroxylated residue; acetylated residue
InstrumenttimsTOF Pro
Dataset History
RevisionDatetimeStatusChangeLog Entry
02020-11-16 06:57:05ID requested
12021-10-12 05:13:57announced
Publication List
Dataset with its publication pending
Keyword List
submitter keyword: Proteomics, Type II diabetes, Multiomics, Pancrease, Systems Biology
Contact List
Matthias Mann
contact affiliationDept. Proteomics and Signal Transduction Max Planck Institute of Biochemistry
contact emailmmann@biochem.mpg.de
lab head
Mario Oroshi
contact affiliationProteomics
contact emailoroshi@biochem.mpg.de
dataset submitter
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