The Cognitive Phenotype of Down Syndrome: Insights from Intracellular Network Analysis

Avi Ma’ayan , Katheleen Gardiner , Ravi Iyengar
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引用次数: 11

Abstract

Summary

Down syndrome (DS) is caused by trisomy of chromosome 21. All individuals with DS exhibit some level of cognitive dysfunction. It is generally accepted that these abnormalities are a result of the upregulation of genes encoded by chromosome 21. Many chromosome 21 proteins are known or predicted to function in critical neurological processes, but typically they function as modulators of these processes, not as key regulators. Thus, upregulation in DS is expected to cause only modest perturbations of normal processes. Systematic approaches such as intracellular network construction and analysis have not been generally applied in DS research. Networks can be assembled from high-throughput experiments or by text-mining of experimental literature. We survey some new developments in constructing such networks, focusing on newly developed network analysis methodologies. We propose how these methods could be integrated with creation and manipulation of mouse models of DS to advance our understanding of the perturbed cell signaling pathways in DS. This understanding could lead to potential therapeutics.

唐氏综合症的认知表型:来自细胞内网络分析的见解
唐氏综合症(DS)是由21号染色体三体引起的。所有退行性痴呆患者都表现出一定程度的认知功能障碍。人们普遍认为,这些异常是21号染色体编码基因上调的结果。许多21号染色体蛋白质已知或预测在关键的神经过程中起作用,但通常它们是这些过程的调节剂,而不是关键的调节剂。因此,预期DS的上调只会引起正常过程的适度扰动。系统的方法,如细胞内网络的构建和分析,尚未普遍应用于DS研究。网络可以通过高通量实验或通过实验文献的文本挖掘来组装。我们概述了构建此类网络的一些新进展,重点介绍了新开发的网络分析方法。我们建议如何将这些方法与DS小鼠模型的创建和操作相结合,以促进我们对DS中受干扰的细胞信号通路的理解。这种理解可能会导致潜在的治疗方法。
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