OPTIMIZATION OF NANOFLOW LC FOR IMPROVED PEAK CAPACITY AND PEPTIDE IDS

这个子项目是利用资源的许多研究子项目之一。 由NIH/NCRR资助的中心拨款提供。对子项目的主要支持 子项目的首席调查员可能是由其他来源提供的， 包括美国国立卫生研究院的其他来源。为子项目列出的总成本可能 表示该子项目使用的中心基础设施的估计数量， 不是由NCRR赠款提供给次级项目或次级项目工作人员的直接资金。 在鸟枪式蛋白质组学中，反相纳米流高效液相色谱被广泛用于多肽的分离，然后再进行质谱分析。多肽的层析分离使复杂的多肽样品的分析成为可能，否则是不可能的。我们感兴趣的是改变NanoLC参数，如柱长和梯度长度，对峰容量和多肽鉴定的影响。我们也感兴趣的是，获得最佳的色谱峰容量是否会导致最佳的多肽鉴定。

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. Primary support for the subproject and the subproject's principal investigator may have been provided by other sources, including other NIH sources. The Total Cost listed for the subproject likely represents the estimated amount of Center infrastructure utilized by the subproject, not direct funding provided by the NCRR grant to the subproject or subproject staff. In shotgun proteomics, reverse phase nanoflow HPLC is widely used as a method of separating peptides prior to analysis by mass spectrometry. The chromatographic separation of peptides enables the analysis of complex peptide samples that would otherwise not be possible. We are interested in the effect of altering nanoLC parameters, such as column length and gradient length, on peak capacity and peptide identifications. We are also interested in whether obtaining optimal chromatographic peak capacity results in optimal peptide identifications.