Šedová L, Školníková E, Hodúlová M, Včelák J, Šeda O, Bendlová B
Laboratory of Transgenic Models of Diseases, Division BIOCEV, Institute of Molecular Genetics of the Czech Academy of Sciences, Vestec, Czech Republic.
Physiol Res. 2018 Nov 28;67(Suppl 3):S543-S550. doi: 10.33549/physiolres.934021.
Nucleoside diphosphate kinase 7, non-metastatic cells 7 (NME7) is an acknowledged member of ciliome and is involved in the biogenesis or function of cilia. As obesity and diabetes are common in several ciliopathies, we aimed to analyze changes of gene expression within Nme7 interactome in genetically designed rat models of metabolic syndrome. We assessed the liver transcriptome by Affymetrix microarrays in adult males of 14 PXO recombinant inbred rat strains and their two progenitor strains, SHR-Lx and BXH2. In the strains with the lowest expression of Nme7, we have identified significant enrichment of transcripts belonging to Nme7 interactome. In the subsequent network analysis, we have identified three major upstream regulators - Hnf4a, Ppara and Nr1h4 and liver steatosis (p=0.0001) and liver necrosis/cell death (apoptosis of liver cells, p=0.0003) among the most enriched Tox categories. The mechanistic network reaching the top score showed substantial overlap with Assembly of non-motile cilium and Glucose metabolism disorder gene lists. In summary, we show in a genetic model of metabolic syndrome that rat strains with the lowest expression of Nme7 present gene expression shifts of Nme7 interactome that are perturbing networks relevant for carbohydrate and lipid metabolism as well as ciliogenesis.
核苷二磷酸激酶7,非转移性细胞7(NME7)是纤毛蛋白质组中公认的成员,参与纤毛的生物发生或功能。由于肥胖和糖尿病在几种纤毛病中很常见,我们旨在分析基因设计的代谢综合征大鼠模型中Nme7相互作用组内基因表达的变化。我们通过Affymetrix微阵列评估了14种PXO重组近交大鼠品系及其两个亲本品系SHR-Lx和BXH2成年雄性大鼠的肝脏转录组。在Nme7表达最低的品系中,我们发现属于Nme7相互作用组的转录本显著富集。在随后的网络分析中,我们确定了三个主要的上游调节因子——Hnf4a、Ppara和Nr1h4,以及在最富集的Tox类别中的肝脂肪变性(p = 0.0001)和肝坏死/细胞死亡(肝细胞凋亡,p = 0.0003)。得分最高的机制网络与非运动性纤毛组装和葡萄糖代谢紊乱基因列表有大量重叠。总之,我们在代谢综合征的遗传模型中表明,Nme7表达最低的大鼠品系呈现出Nme7相互作用组的基因表达变化,这些变化扰乱了与碳水化合物和脂质代谢以及纤毛发生相关的网络。