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The reverse-direction method links mass experimental data to human diseases

机译:反向方法将大量实验数据与人类疾病联系起来

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Genome-wide analyses such as DNA microarray, RNA sequencing and RNA interference-based high-throughput screening are prevalent to decipher a biological process of interest, and provide a large quantity of data to be processed. An ultimate goal for researchers must be extrapolation of their data to human diseases. We have conducted functional genome-wide screenings to elucidate molecular mechanisms of the inflammation amplifier, a NFκB/STAT3-dependent machinery that potently drives recruitment of immune cells to promote inflammation. Using a public database of genome-wide association studies (GWAS), we recently reported the reverse-direction method by which our mass screening data were successfully linked to many human diseases. As an example, the epiregulin-epidermal growth factor receptor pathway was identified as a regulator of the inflammation amplifier, and associated with human diseases by GWAS. In fact, serum epiregulin levels were higher in patients with chronic inflammatory disorders. The reverse-direction method can be a useful tool to narrow mass data down to focus on human disease-related genes.
机译:全基因组分析(例如DNA芯片,RNA测序和基于RNA干扰的高通量筛选)普遍用于解密感兴趣的生物过程,并提供大量数据进行处理。研究人员的最终目标必须是将其数据外推至人类疾病。我们已经进行了全基因组功能性筛选,以阐明炎症放大器的分子机制,炎症放大器是一种依赖NFκB/ STAT3的机制,可以有效地驱动免疫细胞的募集以促进炎症。使用全基因组关联研究(GWAS)的公共数据库,我们最近报告了反向方法,通过该方法我们的大规模筛选数据已成功与许多人类疾病相关联。例如,上皮调节蛋白-表皮生长因子受体途径被鉴定为炎症放大的调节剂,并通过GWAS与人类疾病相关。实际上,患有慢性炎性疾病的患者的血清上调蛋白水平较高。反向方法可以成为一种有用的工具,可以将大量数据缩小到关注与人类疾病相关的基因。

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