Identification of Novel Genes Involved in Hyperglycemia in Mice.
Wenke JonasOliver KluthAnett HelmsSarah VoßMarkus JähnertPascal GottmannThilo SpeckmannBirgit KnebelAlexandra ChadtHadi Al-HasaniAnnette SchürmannHeike VogelPublished in: International journal of molecular sciences (2022)
Current attempts to prevent and manage type 2 diabetes have been moderately effective, and a better understanding of the molecular roots of this complex disease is important to develop more successful and precise treatment options. Recently, we initiated the collective diabetes cross, where four mouse inbred strains differing in their diabetes susceptibility were crossed with the obese and diabetes-prone NZO strain and identified the quantitative trait loci (QTL) Nidd13/NZO , a genomic region on chromosome 13 that correlates with hyperglycemia in NZO allele carriers compared to B6 controls. Subsequent analysis of the critical region, harboring 644 genes, included expression studies in pancreatic islets of congenic Nidd13/NZO mice, integration of single-cell data from parental NZO and B6 islets as well as haplotype analysis. Finally, of the five genes ( Acot12 , S100z , Ankrd55 , Rnf180 , and Iqgap2 ) within the polymorphic haplotype block that are differently expressed in islets of B6 compared to NZO mice, we identified the calcium-binding protein S100z gene to affect islet cell proliferation as well as apoptosis when overexpressed in MIN6 cells. In summary, we define S100z as the most striking gene to be causal for the diabetes QTL Nidd13/NZO by affecting β-cell proliferation and apoptosis. Thus, S100z is an entirely novel diabetes gene regulating islet cell function.
Keyphrases
- type diabetes
- genome wide
- glycemic control
- cardiovascular disease
- cell proliferation
- copy number
- cell cycle arrest
- genome wide identification
- binding protein
- oxidative stress
- endoplasmic reticulum stress
- insulin resistance
- dna methylation
- high fat diet induced
- induced apoptosis
- single cell
- poor prognosis
- weight loss
- pi k akt
- mass spectrometry
- long non coding rna
- bioinformatics analysis
- high resolution
- genome wide analysis
- machine learning
- escherichia coli
- gene expression
- high density
- bariatric surgery
- genome wide association study
- rna seq
- dna damage response
- data analysis
- artificial intelligence
- skeletal muscle