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模拟骨骼肌疾病的动物模型的蛋白质组学分析。

Proteomic profiling of animal models mimicking skeletal muscle disorders.

机构信息

Department of Biology, National University of Ireland, Maynooth Co. Kildare, Ireland.

出版信息

Proteomics Clin Appl. 2007 Sep;1(9):1169-84. doi: 10.1002/prca.200700042. Epub 2007 Aug 17.

Abstract

Over the last few decades of biomedical research, animal models of neuromuscular diseases have been widely used for determining pathological mechanisms and for testing new therapeutic strategies. With the emergence of high-throughput proteomics technology, the identification of novel protein factors involved in disease processes has been decisively improved. This review outlines the usefulness of the proteomic profiling of animal disease models for the discovery of new reliable biomarkers, for the optimization of diagnostic procedures and the development of new treatment options for skeletal muscle disorders. Since inbred animal strains show genetically much less interindividual differences as compared to human patients, considerably lower experimental repeats are capable of producing meaningful proteomic data. Thus, animal model proteomics can be conveniently employed for both studying basic mechanisms of molecular pathogenesis and the effects of drugs, genetic modifications or cell-based therapies on disease progression. Based on the results from comparative animal proteomics, a more informed decision on the design of clinical proteomics studies could be reached. Since no one animal model represents a perfect pathobiochemical replica of all of the symptoms seen in complex human disorders, the proteomic screening of novel animal models can also be employed for swift and enhanced protein biochemical phenotyping.

摘要

在过去几十年的生物医学研究中,神经肌肉疾病的动物模型被广泛用于确定病理机制和测试新的治疗策略。随着高通量蛋白质组学技术的出现,涉及疾病过程的新型蛋白质因子的鉴定得到了显著改善。本文概述了动物疾病模型的蛋白质组分析在发现新的可靠生物标志物、优化诊断程序以及开发骨骼肌疾病新的治疗选择方面的作用。由于近交系动物品系与人类患者相比遗传上个体间差异要小得多,因此能够产生有意义的蛋白质组数据所需的实验重复次数要少得多。因此,动物模型蛋白质组学可以方便地用于研究分子发病机制的基本机制以及药物、基因修饰或基于细胞的治疗方法对疾病进展的影响。基于比较动物蛋白质组学的结果,可以更明智地决定临床蛋白质组学研究的设计。由于没有一种动物模型能完美地复制复杂人类疾病的所有症状,因此新型动物模型的蛋白质组筛选也可用于快速增强蛋白质的生化表型。

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