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Proteomic pathways to metabolic disease and type 2 diabetes in the pancreatic islet
- Source :
- iScience, Vol 24, Iss 10, Pp 103099-(2021), iScience
- Publication Year :
- 2021
- Publisher :
- Elsevier, 2021.
-
Abstract
- Summary Pancreatic islets are essential for maintaining physiological blood glucose levels, and declining islet function is a hallmark of type 2 diabetes. We employ mass spectrometry-based proteomics to systematically analyze islets from 9 genetic or diet-induced mouse models representing a broad cross-section of metabolic health. Quantifying the islet proteome to a depth of >11,500 proteins, this study represents the most detailed analysis of mouse islet proteins to date. Our data highlight that the majority of islet proteins are expressed in all strains and diets, but more than half of the proteins vary in expression levels, principally due to genetics. Associating these varied protein expression levels on an individual animal basis with individual phenotypic measures reveals islet mitochondrial function as a major positive indicator of metabolic health regardless of strain. This compendium of strain-specific and dietary changes to mouse islet proteomes represents a comprehensive resource for basic and translational islet cell biology.<br />Graphical abstract<br />Highlights • Most comprehensive mouse islet proteome library generated to date • Quantification of islet proteomic changes across 6 strains of mice on 2 diets • Islet mitochondrial function revealed as strain-independent regulator of metabolic health<br />Animal physiology; Diabetology; Proteomics.
- Subjects :
- geography
endocrine system
Multidisciplinary
geography.geographical_feature_category
endocrine system diseases
Pancreatic islets
Strain (biology)
diabetology
Science
Type 2 diabetes
Biology
Proteomics
Islet
medicine.disease
Phenotype
Article
Cell biology
animal physiology
medicine.anatomical_structure
proteomics
Proteome
medicine
Function (biology)
Subjects
Details
- Language :
- English
- ISSN :
- 25890042
- Volume :
- 24
- Issue :
- 10
- Database :
- OpenAIRE
- Journal :
- iScience
- Accession number :
- edsair.doi.dedup.....861a2463e166ef839b12146ca1d75be3