Project description:Differentially expressed genes in the skin tissue of newborn Hu sheep were screened using an Agilent gene chip and RT-PCR. Differential expression analysis revealed 3 groups of large waves and small waves; 1067, 2071, and 3879 differentially expressed genes; and 137 genes common to all 3 groups. Differentially expressed genes were classified using gene ontology. They were found to be mainly involved in cell differentiation, proliferation, apoptosis, growth, immune response, and ion transport. RT-PCR results of 4 differentially expressed genes were consistent with gene chip results. Combined with related literature, our results suggest that BMP7, MMP2, SNAI1, SFXN1, CDKNIC, MT3, and POU1F1 may have important effects on the formation of large-wave and small-wave hair follicles. The samples collected with three full-sib individual and they borned at two days, what's more they were from the same paternal, each pair of big wave and small wave individuals from the same female parent.
Project description:Glucose is an important regulator of pancreatic β-cell function. In addition to the acute stimulation of insulin secretion, glucose stimulates long-term adaptive changes in gene expression that can either promote or antagonize the proliferative potential and function of β-cells. The glucose-sensing transcription factor carbohydrate response element binding protein (ChREBP) has been shown to promote both β-cell proliferation and dysfunction; however, the molecular mechanisms underlying these pleiotropic effects of ChREBP and glucose are not well understood. Here, we have generated time-resolved profiles of enhancer and transcriptional activity in response to glucose in the INS-1E pancreatic β-cell line. Our data outline a biphasic response with a first wave during which metabolic genes are activated, and a second wave where cell cycle genes are induced and β-cell identity genes are repressed. We show that ChREBP directly activates first wave genes, whereas repression and activation of second wave genes by ChREBP is indirect. By integrating motif enrichment within late-regulated enhancers with expression profiles of the associated transcription factors, we identify multiple putative regulators of the second wave, including RAR-related orphan receptor (ROR) γ, which we demonstrate is a novel direct ChREBP target gene. Importantly, we show that RORγ activity is necessary for full glucose-induced proliferation of both INS-1E and primary rat β-cells. Genome-wide assesment of the transcriptional response to glucose in INS-1E β-cells using RNA- ChIP- and DNase-seq
Project description:One of the common misconceptions about COVID-19 disease is to assume that we will not see a recurrence after the first wave of the disease has subsided. This completely wrong perception causes people to disregard the necessary protocols and engage in some misbehavior, such as routine socializing or holiday travel. These conditions will put double pressure on the medical staff and endanger the lives of many people around the world. In this research, we are interested in analyzing the existing data to predict the number of infected people in the second wave of out-breaking COVID-19 in Iran. For this purpose, a model is proposed. The mathematical analysis corresponded to the model is also included in this paper. Based on proposed numerical simulations, several scenarios of progress of COVID-19 corresponding to the second wave of the disease in the coming months, will be discussed. We predict that the second wave of will be most severe than the first one. From the results, improving the recovery rate of people with weak immune systems via appropriate medical incentives is resulted as one of the most effective prescriptions to prevent the widespread unbridled outbreak of the second wave of COVID-19.