SAM Domains

SAM 域

• 批准号: 8245084
• 负责人: JAMES U BOWIE
• 金额: $ 22.32万
• 依托单位: UNIVERSITY OF CALIFORNIA LOS ANGELES
• 依托单位国家: 美国
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-04-01 至 2013-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8245084
• 关键词: Ankyrins; Autistic Disorder; Binding; Biological; Biological Assay; Biology; Blindness; Budgets; Cell physiology; Chromatography; Cleft Palate; Communication; Complex; DHFR gene; DNA Binding Domain; Diacylglycerol Kinase; Disease; Disease Pathway; Electron Microscopy; Electrons; Eukaryotic Cell; Family; Fibronectins; Funding; Gel; Gel Chromatography; Glutamine; Grant; Hereditary Disease; Homo; Human; Human Genome; Immune System Diseases; Investigation; Knowledge; Left; Leucine Zippers; Malignant neoplasm of brain; Medical; PH Domain; Phosphotransferases; Play; Polymers; Positioning Attribute; Protein Binding; Proteins; RNA; Role; SAM Domain; Scaffolding Protein; Solubility; Structure; System; Time; Transmembrane Domain; United States National Institutes of Health; Work; Zinc; biological systems; copolymer; deafness; experience; follow-up; genetic regulatory protein; leukemia; macromolecule; protein protein interaction; public health relevance; transcription factor

DESCRIPTION (provided by applicant): Sterile Alpha Motif (SAM) domains are among the most common protein modules in eukaryotic cells. They are found in many key regulatory proteins, scaffolding proteins, and transcription factors, which include many proteins involved in genetic diseases. Focused investigation of isolated systems has revealed that SAM domains are versatile protein-protein interaction partners, forming homo-oligomers, hetero-oligomers, homo- polymers, hetero-polymers and complexes with other macromolecules. Nevertheless, the vast majority of SAM domains remain functionally uncharacterized, leaving major gaps in our understanding of important biological pathways and disease states. Here we seek to leverage the considerable expertise we have developed with SAM domain structure and function to globally illuminate the functions of SAM domains in the human genome. The aims are: Aim I: Identify human SAM polymers. Every human-SAM domain will be expressed as a fusion to supercharged GFP to maintain polymer solubility. The SAM domains will be screened for aggregate formation by native gels and/or gel filtration chromatography. If they are found to form aggregates, they will be further examined by electron microscopy or AFM to distinguish aggregates from true polymers. Aim II: Identify all human homo- and hetero-SAM interactions discover polymer regulators and new copolymers. We will use a split DHFR assay to identify SAMs that bind to one another. Identified interactions will be verified biochemically with our GFP fusions from Aim I. We also hope to discover new SAM polymer regulators and possibly SAM copolymers. We believe the discovery-oriented approach proposed here is an efficient way to maximize the utility of our prior NIH funded advances for the benefit of others. PUBLIC HEALTH RELEVANCE: Cellular functions require precise communication between proteins. Disease occurs when these exchanges go awry. This project seeks to identify and characterize the interactions of a protein binding module found in about a hundred human proteins, including proteins directly involved in autism, leukemia, cleft palate, immune disorders, deafness and blindness. Thus, this project could illuminate the mechanisms of diverse disease states.

描述（由申请人提供）：无菌α基序（SAM）结构域是真核细胞中最常见的蛋白质模块。它们存在于许多关键的调节蛋白、支架蛋白和转录因子中，其中包括许多与遗传疾病有关的蛋白质。对分离系统的集中研究已经揭示，SAM结构域是多功能的蛋白质-蛋白质相互作用配偶体，与其他大分子形成均聚物、杂聚物、均聚物、杂聚物和复合物。然而，绝大多数SAM结构域仍然功能不明，在我们对重要生物学途径和疾病状态的理解中留下了重大空白。在这里，我们寻求利用我们开发的SAM结构域结构和功能的大量专业知识，全面阐明SAM结构域在人类基因组中的功能。目的I：鉴定人SAM聚合物。每个人SAM结构域将表达为与增压GFP的融合物以维持聚合物溶解性。将通过天然凝胶和/或凝胶过滤色谱法筛选SAM结构域的聚集体形成。如果发现它们形成聚集体，则将通过电子显微镜或AFM进一步检查它们以区分聚集体与真正的聚合物。目的二：确定所有人类homo和hetero-SAM相互作用，发现聚合物调节剂和新的共聚物。我们将使用分裂DHFR测定来识别相互结合的SAM。将使用来自Aim I的GFP融合物对识别出的相互作用进行生物化学验证。我们还希望发现新的SAM聚合物调节剂和可能的SAM共聚物。我们相信，这里提出的以发现为导向的方法是一种有效的方法，可以最大限度地利用我们以前的NIH资助的进步，造福他人。 公共卫生相关性：细胞功能需要蛋白质之间的精确通信。当这些交换出错时，疾病就会发生。该项目旨在识别和表征在大约100种人类蛋白质中发现的蛋白质结合模块的相互作用，包括直接参与自闭症，白血病，腭裂，免疫疾病，耳聋和失明的蛋白质。因此，该项目可以阐明不同疾病状态的机制。