Functional genomics of osteoarthritis - On the way to evaluate disease hypotheses
Functional genomics of osteoarthritis - On the way to evaluate disease hypotheses
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DOI：
10.1097/01.blo.0000143838.53434.b8
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发表时间：
2004-10-01
影响因子：
4.2
通讯作者：
Zimmer, R
中科院分区：
文献类型：
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作者：
Aigner, T;Bartnik, E;Zimmer, R
功能基因组学是在分子水平上解决骨关节炎等复杂疾病的一种具有挑战性的新方法。这补充了以前的研究，并将开辟迄今未被认识的分子网络的新领域。在这方面，关节软骨是功能基因组学的良好靶点，因为它仅包含一种细胞类型，所有表达信号都可以归因于该细胞类型。尽管目前有相当大的局限性，如低灵敏度和不敏感的选择性剪接，转录后调节，和翻译后修饰，cDNA阵列技术提供了一个强大的工具，以获得一个概述基因表达模式很难实现与其他技术。这已被证明是真实的已知基因，以及为新的基因的识别感兴趣。因此，基因表达分析将有助于根据所研究的疾病和实验条件来鉴定单个基因。然而，大量表达基因的表达模式将描绘出疾病背景的图片（网络），甚至可能进一步推动我们对骨关节炎等复杂疾病的理解。
Functional genomics is a challenging new way to address complex diseases such as osteoarthritis on a molecular level. This complements previous research and will open up new areas of so far unrecognized molecular networks. In this respect, articular cartilage is a good target for functional genomics as it contains only one cell type to which all expression signals can be attributed to. Despite considerable limitations at present, such as a low sensitivity and insensitivity to alternative splicing, posttranscriptional regulation, and posttranslational modification, cDNA-array technology provides a powerful tool to obtain an overview on gene expression patterns hardly achievable with other techniques. This has been shown to be true for known genes as well as for the identification of new genes of interest. Therefore, gene expression analysis will help to identify single genes depending on the disease and experimental conditions investigated. However, the expression pattern of the plethora of expressed genes will paint a picture (network) of disease context, maybe even more pushing forward our understanding of complex diseases such as osteoarthritis.