NUCLEAR MEMBRANE PROTEINS WITH POTENTIAL DISEASE LINKS FOUND BY SUBTRACTIVE PRO

SUBTRACTIVE PRO 发现与潜在疾病相关的核膜蛋白

• 批准号: 7957819
• 负责人: Larry R. Gerace
• 金额: $ 0.33万
• 依托单位: UNIVERSITY OF WASHINGTON
• 依托单位国家: 美国
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-01 至 2010-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7957819
• 关键词: Biology; Chromosomes; Computer Retrieval of Information on Scientific Projects Database; Data Set; Disease; Funding; Fungal Genome; Grant; Institution; Integral Membrane Protein; Link; Liver; Maps; Membrane; Membrane Proteins; Nuclear Envelope; Open Reading Frames; Organelles; Proteins; Research; Research Personnel; Resources; Source; Technology; Testing; United States National Institutes of Health

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. To comprehensively identify integral membrane proteins of the nuclear envelope (NE), we prepared separately NEs and organelles known to cofractionate with them from liver. Proteins detected by multidimensional protein identification technology in the cofractionating organelles were subtracted from the NE data set. In addition to all 13 known NE integral proteins, 67 uncharacterized open reading frames with predicted membrane-spanning regions were identified. All of the eight proteins tested targeted to the NE, indicating that there are substantially more integral proteins of the NE than previously thought. Furthermore, 23 of these mapped within chromosome regions linked to a variety of dystrophies.

这个子项目是许多研究子项目中的一个 由NIH/NCRR资助的中心赠款提供的资源。子项目和 研究者（PI）可能从另一个NIH来源获得了主要资金， 因此可以在其他CRISP条目中表示。所列机构为 研究中心，而研究中心不一定是研究者所在的机构。 为了全面鉴定核膜（NE）的膜蛋白，我们分别从肝脏中制备了内斯和已知与它们相容的细胞器。从NE数据集中减去通过多维蛋白质鉴定技术在共分级细胞器中检测到的蛋白质。除了所有13个已知的NE整合蛋白，67个未知的开放阅读框架预测跨膜区域进行了鉴定。测试的所有八种蛋白质都靶向NE，表明NE的整合蛋白质比以前认为的要多得多。此外，其中23个定位在与各种营养不良相关的染色体区域内。