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本文引用的文献

1
The chemical genomic portrait of yeast: uncovering a phenotype for all genes.酵母的化学基因组图谱:揭示所有基因的表型
Science. 2008 Apr 18;320(5874):362-5. doi: 10.1126/science.1150021.
2
Defining genetic interaction.定义基因相互作用。
Proc Natl Acad Sci U S A. 2008 Mar 4;105(9):3461-6. doi: 10.1073/pnas.0712255105. Epub 2008 Feb 27.
3
The Rpd3/Hda1 family of lysine deacetylases: from bacteria and yeast to mice and men.赖氨酸脱乙酰酶的Rpd3/Hda1家族:从细菌、酵母到小鼠和人类
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H2A.Z: view from the top.H2A.Z:从顶部看
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Exploring genetic interactions and networks with yeast.利用酵母探索基因相互作用和网络。
Nat Rev Genet. 2007 Jun;8(6):437-49. doi: 10.1038/nrg2085.
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A proteasome for all occasions.适用于各种情况的蛋白酶体。
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7
Functional dissection of protein complexes involved in yeast chromosome biology using a genetic interaction map.利用遗传相互作用图谱对参与酵母染色体生物学的蛋白质复合物进行功能解析。
Nature. 2007 Apr 12;446(7137):806-10. doi: 10.1038/nature05649. Epub 2007 Feb 21.
8
Systematic pathway analysis using high-resolution fitness profiling of combinatorial gene deletions.使用组合基因缺失的高分辨率适应性分析进行系统途径分析。
Nat Genet. 2007 Feb;39(2):199-206. doi: 10.1038/ng1948. Epub 2007 Jan 7.
9
Histone H3 lysine 36 methylation antagonizes silencing in Saccharomyces cerevisiae independently of the Rpd3S histone deacetylase complex.组蛋白H3赖氨酸36甲基化在酿酒酵母中独立于Rpd3S组蛋白去乙酰化酶复合体拮抗基因沉默。
Genetics. 2007 Feb;175(2):585-93. doi: 10.1534/genetics.106.067751. Epub 2006 Dec 18.
10
Expanded protein information at SGD: new pages and proteome browser.SGD 中扩展的蛋白质信息:新页面和蛋白质组浏览器。
Nucleic Acids Res. 2007 Jan;35(Database issue):D468-71. doi: 10.1093/nar/gkl931. Epub 2006 Nov 16.

一种实现酵母基因组高分辨率功能分析的综合策略。

A comprehensive strategy enabling high-resolution functional analysis of the yeast genome.

作者信息

Breslow David K, Cameron Dale M, Collins Sean R, Schuldiner Maya, Stewart-Ornstein Jacob, Newman Heather W, Braun Sigurd, Madhani Hiten D, Krogan Nevan J, Weissman Jonathan S

机构信息

Department of Cellular and Molecular Pharmacology, University of California, San Francisco, 1700 4th Street, San Francisco, California 94158, USA.

出版信息

Nat Methods. 2008 Aug;5(8):711-8. doi: 10.1038/nmeth.1234. Epub 2008 Jul 11.

DOI:10.1038/nmeth.1234
PMID:18622397
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2756093/
Abstract

Functional genomic studies in Saccharomyces cerevisiae have contributed enormously to our understanding of cellular processes. Their full potential, however, has been hampered by the limited availability of reagents to systematically study essential genes and the inability to quantify the small effects of most gene deletions on growth. Here we describe the construction of a library of hypomorphic alleles of essential genes and a high-throughput growth competition assay to measure fitness with unprecedented sensitivity. These tools dramatically increase the breadth and precision with which quantitative genetic analysis can be performed in yeast. We illustrate the value of these approaches by using genetic interactions to reveal new relationships between chromatin-modifying factors and to create a functional map of the proteasome. Finally, by measuring the fitness of strains in the yeast deletion library, we addressed an enigma regarding the apparent prevalence of gene dispensability and found that most genes do contribute to growth.

摘要

酿酒酵母中的功能基因组学研究极大地促进了我们对细胞过程的理解。然而,其全部潜力受到用于系统研究必需基因的试剂有限,以及无法量化大多数基因缺失对生长的微小影响的阻碍。在这里,我们描述了一个必需基因次等位基因突变体文库的构建,以及一种高通量生长竞争测定法,以以前所未有的灵敏度测量适应性。这些工具显著提高了在酵母中进行定量遗传分析的广度和精度。我们通过利用遗传相互作用揭示染色质修饰因子之间的新关系,并创建蛋白酶体的功能图谱,来说明这些方法的价值。最后,通过测量酵母缺失文库中菌株的适应性,我们解决了一个关于基因可 dispensability 明显流行的谜团,发现大多数基因确实对生长有贡献。