Excessive fat accumulation is a major risk factor for the development of type 2 diabetes.To determine the mechanisms by wich TP53INP2 regulates adipogenesis, gene expression profile was performed in TP53INP2-deficient 3T3-L1 cells at different stages of differentiation.
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Specimen part, Cell line, Time
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Specimen part
View SamplesThis SuperSeries is composed of the SubSeries listed below.
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Specimen part, Cell line, Treatment
View SamplesType 2 diabetes (T2D) is a highly prevalent chronic metabolic disease with strong co-morbidity with obesity and cardiovascular diseases. There is growing evidence supporting that a crosstalk between mitochondria and the insulin-signaling cascade could be involved in the etiology of TD2 and insulin resistance. In this study, we investigated the molecular basis of this crosstalk by using systems biology approaches. We combined, filtered and interrogated different types of functional interaction data, such as direct protein-protein interactions, co-expression analyses and metabolic and signaling dependencies. As a result, we constructed the mitochondria-insulin (MITIN) network, which highlights 286 genes as candidate functional linkers between these two systems. The results of internal gene expression analysis of three independent experimental models of mitochondria and insulin signaling perturbations further support the connecting roles of these genes. In addition, we further assessed whether these genes are involved in the etiology of T2D using the largest genome-wide meta-analysis from the DIAGRAM consortium, involving 8,130 T2D cases and 38,987 controls. We found significant enrichment of T2D-associated SNPs in the genomic context of our linker genes, including four already confirmed and 14 additional SNPs, which when combined were also associated with increased fasting glucose levels according to MAGIC genome-wide meta-analysis (p = 2.8 x 10-7). This study highlights the potential of combining systems biology, experimental, and genome-wide meta-analyses mining for identifying novel genetic variants that increase vulnerability to complex diseases.
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Specimen part, Cell line, Treatment
View SamplesLow levels of the cell cycle regulator p27Kip1 are associated with a worse outcome in many tumor types. We report here a new regulatory role of p27Kip1 as a transcriptional regulator. In association with transcriptional repressors such as p130, E2F4 and HDACs, p27 binds to promoters of multiple genes leading to their repression. The p27Kip1-target genes participate in RNA processing, translation, respiration and cell cycle. Remarkably, p27Kip1-target genes are over-expressed in different human tumors in tight association with a poor clinical prognosis. We also observed a clear correlation between low levels of p27Kip1 and over-expression of p27Kip1-target genes in tumors. Overall, our findings indicate new tumor suppressor roles of p27Kip1 as a transcriptional regulator of genes relevant for oncogenesis.
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Specimen part
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