Using FlyAtlas to identify better Drosophila melanogaster models of human disease
Using FlyAtlas to identify better Drosophila melanogaster models of human disease
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DOI：
10.1038/ng2049
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发表时间：
2007-06-01
期刊：
影响因子：
30.8
通讯作者：
Dow, Julian A. T.
中科院分区：
文献类型：
--
作者：
Chintapalli, Venkateswara R.;Wang, Jing;Dow, Julian A. T.
FlyAtlas是一个新的在线资源，提供了迄今为止最全面的黑腹果蝇多组织表达视图。数据的荟萃分析显示，基因组的很大一部分在成人中表达具有很大的组织特异性，这表明功能基因组群落需要包含广泛的功能表型。众所周知的发育基因经常在令人惊讶的成人组织中重复使用，暗示新的功能。许多人类遗传疾病基因座的同源性在果蝇组织中表现出与受影响的人类组织相似的选择性表达，为潜在的候选基因提供了有用的过滤器。此外，每个组织对全蝇阵列信号的贡献可以被计算出来，这表明了功能基因组学的全生物体方法的局限性，并允许建立一个简单的组织分离过程的模型，这将提高对弱信号或组织特异性信号的检测。
FlyAtlas, a new online resource, provides the most comprehensive view yet of expression in multiple tissues of Drosophila melanogaster. Meta-analysis of the data shows that a significant fraction of the genome is expressed with great tissue specificity in the adult, demonstrating the need for the functional genomic community to embrace a wide range of functional phenotypes. Well-known developmental genes are often reused in surprising tissues in the adult, suggesting new functions. The homologs of many human genetic disease loci show selective expression in the Drosophila tissues analogous to the affected human tissues, providing a useful filter for potential candidate genes. Additionally, the contributions of each tissue to the whole-fly array signal can be calculated, demonstrating the limitations of whole-organism approaches to functional genomics and allowing modeling of a simple tissue fractionation procedure that should improve detection of weak or tissuespecific signals.