MOMENT ANALYSIS TO DETERMINE PROTEIN CLUSTERING & NUMBER COUNT IN LIVE CELLS

矩分析确定蛋白质聚类

• 批准号: 7724059
• 负责人: ALAN F. Rick HORWITZ
• 金额: $ 0.71万
• 依托单位: UNIVERSITY OF CALIFORNIA-IRVINE
• 依托单位国家: 美国
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-08-01 至 2009-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7724059
• 关键词: Cells; Computer Retrieval of Information on Scientific Projects Database; Count; Funding; Grant; Institution; Life; Measurement; Numbers; Photons; Proteins; Research; Research Personnel; Resources; Solutions; Source; System; Techniques; United States National Institutes of Health; analog; detector; numb protein; theories

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. We are developing a moment analysis technique which can be used to determine protein number and clustering in solution as well as in live cells. The theory has been developed for both photon counting and analog systems. Photon counting systems are able to recover absolute number and brightness information with high accuracy, whereas analog systems can potentially recover accurate values provided the detector can be properly characterized and remains stable during the course of the measurement. Lastly, immobile and mobile fractions can be distinguished as well.

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。 我们正在开发一种矩分析技术，可用于确定蛋白质的数量和集群的解决方案，以及在活细胞。该理论已发展为光子计数和模拟系统。光子计数系统能够以高精度恢复绝对数量和亮度信息，而模拟系统可以潜在地恢复准确的值，前提是检测器可以适当地表征并且在测量过程中保持稳定。最后，还可以区分非移动的和移动的部分。