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Phenotypic categorization of genetic skin diseases reveals new relations between phenotypes, genes and pathways

机译:遗传性皮肤病的表型分类揭示了表型,基因和途径之间的新关系

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Motivation: Systematic analysis of connection between proteins, their cellular function and phenotypic manifestations in disease is a central problem of biological and clinical research. The solution to this problem requires the development of new approaches to link the rapidly growing dataset of gene-disease associations with the many complex and overlapping phenotypes of human disease.Results: We analyze genetic skin disorders and suggest a manually designed set of elementary phenotypes whose combinations define diseases as points in a multidimensional space, providing a basis for phenotypic disease clustering. Placing the known gene-disease associations in the context of this space reveals new patterns that suggest previously unknown functional links between proteins, signaling pathways and disease phenotypes. For example, analysis of telangiectasias (spider vein diseases) reveals a previously unrecognized interplay between the TGF-beta signaling pathway and pentose phosphate pathway. This interaction may mediate glucose-dependent regulation of TGF-beta signaling, providing a clue to the known association between angiopathies and diabetes and implying new gene candidates for mutational analysis and drug targeting.
机译:动机:疾病之间蛋白质,它们的细胞功能和表型表现之间的联系的系统分析是生物学和临床研究的中心问题。解决此问题的方法需要开发新方法,以将快速增长的基因疾病关联数据集与人类疾病的许多复杂和重叠表型联系起来。结果:我们分析了遗传性皮肤病,并提出了一组手动设计的基本表型组合将疾病定义为多维空间中的点,从而为表型疾病聚类提供了基础。将已知的基因-疾病关联置于此空间内揭示了新的模式,这些模式暗示了蛋白质,信号传导途径和疾病表型之间以前未知的功能联系。例如,对毛细血管扩张(蜘蛛静脉疾病)的分析揭示了TGF-β信号传导途径和磷酸戊糖途径之间先前无法识别的相互作用。这种相互作用可能介导TGF-β信号传导的葡萄糖依赖性调节,为血管病和糖尿病之间的已知关联提供了线索,并暗示了用于突变分析和药物靶向的新基因候选者。

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