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高分辨率化学剖析模型真核生物揭示靶点、通路和基因功能。

High-resolution chemical dissection of a model eukaryote reveals targets, pathways and gene functions.

机构信息

Novartis Institutes for BioMedical Research, Novartis Campus, CH-4056 Basel, Switzerland.

Novartis Institutes for BioMedical Research, Novartis Campus, CH-4056 Basel, Switzerland.

出版信息

Microbiol Res. 2014 Feb-Mar;169(2-3):107-20. doi: 10.1016/j.micres.2013.11.004. Epub 2013 Dec 1.

DOI:10.1016/j.micres.2013.11.004
PMID:24360837
Abstract

Due to evolutionary conservation of biology, experimental knowledge captured from genetic studies in eukaryotic model organisms provides insight into human cellular pathways and ultimately physiology. Yeast chemogenomic profiling is a powerful approach for annotating cellular responses to small molecules. Using an optimized platform, we provide the relative sensitivities of the heterozygous and homozygous deletion collections for nearly 1800 biologically active compounds. The data quality enables unique insights into pathways that are sensitive and resistant to a given perturbation, as demonstrated with both known and novel compounds. We present examples of novel compounds that inhibit the therapeutically relevant fatty acid synthase and desaturase (Fas1p and Ole1p), and demonstrate how the individual profiles facilitate hypothesis-driven experiments to delineate compound mechanism of action. Importantly, the scale and diversity of tested compounds yields a dataset where the number of modulated pathways approaches saturation. This resource can be used to map novel biological connections, and also identify functions for unannotated genes. We validated hypotheses generated by global two-way hierarchical clustering of profiles for (i) novel compounds with a similar mechanism of action acting upon microtubules or vacuolar ATPases, and (ii) an un-annotated ORF, YIL060w, that plays a role in respiration in the mitochondria. Finally, we identify and characterize background mutations in the widely used yeast deletion collection which should improve the interpretation of past and future screens throughout the community. This comprehensive resource of cellular responses enables the expansion of our understanding of eukaryotic pathway biology.

摘要

由于生物学的进化保守性,从真核模式生物的遗传研究中获得的实验知识为了解人类细胞途径并最终了解生理学提供了线索。酵母化学基因组分析是注释小分子对细胞反应的有力方法。我们使用优化的平台,提供了近 1800 种生物活性化合物对异质和同质缺失文库的相对敏感性。数据质量使我们能够深入了解对特定干扰敏感和抵抗的途径,这在已知和新型化合物中都得到了证明。我们展示了新型化合物抑制治疗相关脂肪酸合酶和去饱和酶(Fas1p 和 Ole1p)的例子,并演示了个体图谱如何促进假设驱动的实验,以描绘化合物的作用机制。重要的是,经过测试的化合物的规模和多样性产生了一个数据集,其中被调节的途径数量接近饱和。该资源可用于绘制新的生物学联系,还可识别未注释基因的功能。我们验证了通过新型化合物的全局双向层次聚类生成的图谱假设,这些化合物具有相似的作用机制,作用于微管或液泡 ATP 酶,以及(ii) 一个未注释的 ORF,YIL060w,它在线粒体呼吸中发挥作用。最后,我们确定并描述了在广泛使用的酵母缺失文库中背景突变,这应该可以改善社区过去和未来筛选的解释。这种全面的细胞反应资源使我们能够扩展对真核途径生物学的理解。

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