PROTEIN INTERACTION SCREENING IN YEAST

这个子项目是许多研究子项目中利用 资源由NIH/NCRR资助的中心拨款提供。子项目和 调查员(PI)可能从NIH的另一个来源获得了主要资金， 并因此可以在其他清晰的条目中表示。列出的机构是 该中心不一定是调查人员的机构。 酵母资源中心(YRC)的使命是建立一种常规和全面的方法来研究真核生物的生物过程控制。该中心正在整合一套最先进的分析技术，从而系统地利用基因组序列信息，并将其应用于了解正常和异常的细胞过程。最初，该中心专注于基因特征良好的物种的模式过程，这些物种的完整基因组序列是可用的，即酿酒酵母。已经建立了合作，将综合方法的应用扩展到真核生物模型酿酒酵母的其他细胞过程中。重要的是，选择正在研究的过程在一定程度上是因为已经确定了在某些人类疾病中已知会改变的调节系统中的保守成分。我们预计，随着人类基因组序列变得更加完整，该中心的专业知识将非常适合于扩大编码产物功能的知识。在YRC和NFCR的这个合作项目中，我们将开发分析酵母蛋白质-蛋白质相互作用的改进方法。

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. The mission of the Yeast Resource Center (YRC) is to establish a routine and comprehensive approach to the study of the control of biological processes in eukaryotic organisms. The Center is integrating a set of state-of-the-art analytical technologies resulting in a systematic exploitation of genome sequence information and its application to understanding normal and abnormal cellular processes. Initially, the Center is focusing on a model process in genetically well-characterized species whose complete genome sequence is available, Saccharomyces cerevisiae. Collaborations are already being established to extend the application of the comprehensive approach to other cellular processes in the model eukaryotic organism, S. cerevisiae. Of importance, the choice of processes being studied has been made, in part, because of already identified conserved components in regulatory systems known to be altered in certain human diseases. We expect that as the sequence of the human genome becomes more complete the expertise of the Center will be well suited to expanding the knowledge of the function of the encoded products. In this Collaborative Project between the YRC and the NFCR, we will develop improved methods for analyzing yeast protein-protein interactions.