TY  - JOUR
A1  - Jonas, Wenke
A1  - Kluth, Oliver
A1  - Helms, Anett
A1  - Voss, Sarah
A1  - Jahnert, Markus
A1  - Gottmann, Pascal
A1  - Speckmann, Thilo
A1  - Knebel, Birgit
A1  - Chadt, Alexandra
A1  - Al-Hasani, Hadi
A1  - Schürmann, Annette
A1  - Vogel, Heike
T1  - Identification of novel genes involved in hyperglycemia in mice
JF  - International journal of molecular sciences
N2  - 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 MINE cells. In summary, we define S100z as the most striking gene to be causal for the diabetes QTL Nidd13/NZO by affecting beta-cell proliferation and apoptosis. Thus, S100z is an entirely novel diabetes gene regulating islet cell function.
KW  - beta-cell
KW  - diabetes
KW  - proliferation
KW  - apoptosis
KW  - QTL
Y1  - 2022
U6  - https://doi.org/10.3390/ijms23063205
SN  - 1661-6596
SN  - 1422-0067
VL  - 23
IS  - 6
PB  - MDPI
CY  - Basel
ER  - 
TY  - JOUR
A1  - de Abreu e Lima, Francisco Anastacio
A1  - Li, Kun
A1  - Wen, Weiwei
A1  - Yan, Jianbing
A1  - Nikoloski, Zoran
A1  - Willmitzer, Lothar
A1  - Brotman, Yariv
T1  - Unraveling lipid metabolism in maize with time-resolved multi-omics data
JF  - The plant journal
N2  - Maize is the cereal crop with the highest production worldwide, and its oil is a key energy resource. Improving the quantity and quality of maize oil requires a better understanding of lipid metabolism. To predict the function of maize genes involved in lipid biosynthesis, we assembled transcriptomic and lipidomic data sets from leaves of B73 and the high-oil line By804 in two distinct time-series experiments. The integrative analysis based on high-dimensional regularized regression yielded lipid-transcript associations indirectly validated by Gene Ontology and promoter motif enrichment analyses. The co-localization of lipid-transcript associations using the genetic mapping of lipid traits in leaves and seedlings of a B73 x By804 recombinant inbred line population uncovered 323 genes involved in the metabolism of phospholipids, galactolipids, sulfolipids and glycerolipids. The resulting association network further supported the involvement of 50 gene candidates in modulating levels of representatives from multiple acyl-lipid classes. Therefore, the proposed approach provides high-confidence candidates for experimental testing in maize and model plant species.
KW  - Zea mays
KW  - lipid metabolism
KW  - omics
KW  - GFLASSO
KW  - QTL
Y1  - 2018
U6  - https://doi.org/10.1111/tpj.13833
SN  - 0960-7412
SN  - 1365-313X
VL  - 93
IS  - 6
SP  - 1102
EP  - 1115
PB  - Wiley
CY  - Hoboken
ER  -