利用上位性微阵列图谱（E-MAPs）对酿酒酵母进行数量遗传分析及其在染色质功能中的应用。

Quantitative genetic analysis in Saccharomyces cerevisiae using epistatic miniarray profiles (E-MAPs) and its application to chromatin functions.

作者信息

Schuldiner M, Collins S R, Weissman J S, Krogan N J

机构信息

Department of Cellular and Molecular Pharmacology, The California Institute for Quantitative Biomedical Research, UCSF, Mission Bay Campus, Byers Hall, 1700 4th Street, San Francisco, California 94143-2540, USA.

出版信息

Methods. 2006 Dec;40(4):344-52. doi: 10.1016/j.ymeth.2006.07.034.

DOI:10.1016/j.ymeth.2006.07.034

PMID:17101447

Abstract

The use of the budding yeast Saccharomyces cerevisiae as a simple eukaryotic model system for the study of chromatin assembly and regulation has allowed rapid discovery of genes that influence this complex process. The functions of many of the proteins encoded by these genes have not yet been fully characterized. Here, we describe a high-throughput methodology that can be used to illuminate gene function and discuss its application to a set of genes involved in the creation, maintenance and remodeling of chromatin structure. Our technique, termed E-MAPs, involves the generation of quantitative genetic interaction maps that reveal the function and organization of cellular proteins and networks.

摘要

将出芽酵母酿酒酵母用作研究染色质组装和调控的简单真核模型系统，使得能够快速发现影响这一复杂过程的基因。这些基因所编码的许多蛋白质的功能尚未得到充分表征。在这里，我们描述了一种可用于阐明基因功能的高通量方法，并讨论了其在一组参与染色质结构创建、维持和重塑的基因中的应用。我们的技术称为E-MAPs，涉及生成定量遗传相互作用图谱，以揭示细胞蛋白质和网络的功能及组织。