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使用FlyAtlas来识别更好的人类疾病黑腹果蝇模型。

Using FlyAtlas to identify better Drosophila melanogaster models of human disease.

作者信息

Chintapalli Venkateswara R, Wang Jing, Dow Julian A T

机构信息

Division of Molecular Genetics, University of Glasgow, Glasgow G11 6NU, UK.

出版信息

Nat Genet. 2007 Jun;39(6):715-20. doi: 10.1038/ng2049.

DOI:10.1038/ng2049
PMID:17534367
Abstract

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 tissue-specific signals.

摘要

FlyAtlas是一个新的在线资源,它提供了迄今为止对黑腹果蝇多个组织中基因表达最为全面的视图。对这些数据的荟萃分析表明,基因组中有很大一部分在成虫中具有高度的组织特异性表达,这表明功能基因组学界需要涵盖广泛的功能表型。著名的发育基因在成虫的一些令人惊讶的组织中经常被重新利用,这暗示了新的功能。许多人类遗传疾病位点的同源基因在果蝇组织中表现出与受影响的人类组织类似的选择性表达,为潜在的候选基因提供了一个有用的筛选方法。此外,可以计算每个组织对全果蝇阵列信号的贡献,这证明了全生物体功能基因组学方法的局限性,并允许对一种简单的组织分级程序进行建模,该程序应该能够提高对微弱或组织特异性信号的检测。

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