PE BIOSYSTEMS VOYAGER DE MALDI-TOF

PE 生物系统 Voyager DE MALDI-TOF

• 批准号: 6291328
• 负责人: KENNETH G MANN
• 金额: $ 18万
• 依托单位: UNIVERSITY OF VERMONT & ST AGRIC COLLEGE
• 依托单位国家: 美国
• 财政年份: 2001
• 资助国家: 美国
• 起止时间: 2001-04-15 至 2002-04-14
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6291328
• 关键词: biomedical equipment purchase; mass spectrometry; matrix assisted laser desorption ionization

This request is for funds to purchase a Voyager-DE Biospectrometry Workstation. This system uses matrix-assisted of proteins, peptide and oligonucleotide. The power of this instrument lies in the delayed extraction (DE) technology. Significant mass resolution is obtained by reducing the background and increasing the signal to noise ratio. Therefore analyses of complex protein matures from various sources and fragile molecules, such as DNA, can be accomplished with great accuracy. Because of the decreased background the software is able to narrow the parameters and significantly reduce the number of masers necessary to make valid assignments. The software also allows identification of proteins by searching a virtual digestion database. This system is ideal for multiple operators and projects beaus of its versatility, spread and ease of operation. Our specific applications include: C-terminal and N-terminal protein and oligonucleotide sequencing, identifying unknown proteins and determining post-transnational modifications. Samples can be extracted from such sources as gels, PVDF membranes, TLC plates, and/or Biacore chips. The fulfillment of the specific aims described in detail in the twelve research proposals would be facilitated by the addiction of a Voyager-DE MALDI-TOF

此请求用于购买 Voyager-DE 生物光谱工作站的资金。该系统使用蛋白质、肽和寡核苷酸的基质辅助。该仪器的强大之处在于延迟提取 (DE) 技术。通过降低背景和提高信噪比可以获得显着的质量分辨率。因此，可以非常准确地完成对各种来源的复杂蛋白质和脆弱分子（例如 DNA）的分析。由于背景减少，该软件能够缩小参数范围并显着减少进行有效分配所需的微波激射器数量。该软件还允许通过搜索虚拟消化数据库来识别蛋白质。该系统具有多功能性、广泛性和易于操作性，是多个运营商和项目的理想选择。我们的具体应用包括：C 端和 N 端蛋白质和寡核苷酸测序、识别未知蛋白质并确定跨国后修饰。样品可以从凝胶、PVDF 膜、TLC 板和/或 Biacore 芯片等来源中提取。 Voyager-DE MALDI-TOF 的成瘾将有助于实现十二项研究提案中详细描述的具体目标