IDBEST Differential Display on Protein Chips

描述（由申请人提供）：DNA和蛋白质芯片上的差异显示分析已被证明可用于鉴定癌症的生物标志物。同位素标记方法，如ICAT，有可能显着提高这些方法的精度，但目前不能应用于蛋白质芯片，其中标记的肽不能有效地从未标记的肽分离。然而，通过将原子序数在35（Br）和63（Eu）之间的元素之一掺入同位素标记物中，所得的标记肽在质谱中移动0.1 amu。正如我们的初步工作所示，这些同位素区分结合能移标签（IDBEST）允许直接检测标记的肽从未标记的物种在质谱中，而不需要亲和或液相色谱净化的样品。本项目的目标是开发同位素差异化结合能移标签（IDBEST）和相关的质谱过滤算法，使高精度（<10%标准偏差）的差异显示直接在亲和蛋白芯片上进行。

DESCRIPTION (provided by applicant): Differential display analysis on DNA and protein chips has proven useful in the identification of biomarkers for cancer. Isotope tagging methods, such as ICAT, have the potential to significantly improve the precision of these methods, but cannot currently be applied to protein chips where the tagged peptides cannot be effectively separated from untagged peptides. However, by incorporating one of the elements with atomic numbers between 35 (Br) and 63 (Eu) into isotopic tags, the resulting tagged peptides are shifted in the mass spectrum by 0.1 amu. As our preliminary work shows, these isotope differentiated binding energy shift tags (IDBEST) allow direct detection of the tagged peptides from untagged species in the mass spectrum without the need for affinity or liquid chromatography clean up of the sample. The goal of this project is to develop isotope differentiated binding energy shift tags (IDBEST) and associated mass spectral filtering algorithms that allow high precision (<10% standard deviation) differential display to be conducted directly on affinity protein chips.