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Proteomic analyser with applications to diagnostics and vaccines

机译:蛋白质组学分析及其在诊断和疫苗中的应用

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摘要

This paper describes a method for proteomic analysis with applications to diagnostics and vaccines. A panel of (⪢1) reagents called ( ), with =1 to , is used. The binding strength of each of the ( ) reagents to each other is measured, for example by an ELISA assay, giving an matrix . The matrix is used to define another set of reagents called ( ), with =1 to , each of which is a linear combination of the ( ) reagents and each of which is tailored to be complementary to one of the ( ) reagents. Each of the pairs of reagents ( ) and ( ) defines an axis in an -dimensional shape space. The definition of these axes facilitates proteomic analysis of diverse biological samples, for example, mixtures of proteins such as serum samples or T cell extracts. A method for defining and measuring similarity between pairs of biological samples and between sets of biological samples in the context of the set of reagent pairs is described. This leads to methods for using the reagent pairs in the diagnosis of diseases and in the formulation of preventive and therapeutic vaccines. The relationship of this work to previous research on shape space is discussed.
机译:本文介绍了一种蛋白质组学分析方法及其在诊断和疫苗中的应用。使用一组称为()的(⪢1)试剂,其= 1到。 (一种)试剂彼此之间的结合强度例如通过ELISA测定法测量,得到基质。矩阵用于定义另一组称为()的试剂,其中= 1到,每种试剂都是()试剂的线性组合,并且每种试剂都经过定制以与()试剂之一互补。成对的试剂()和()中的每对在三维形状空间中定义一个轴。这些轴的定义有助于蛋白质组学分析各种生物样品,例如蛋白质混合物,例如血清样品或T细胞提取物。描述了一种用于在试剂对组的背景下定义和测量成对的生物样品之间以及成组的生物样品之间的相似性的方法。这导致使用试剂对在疾病的诊断以及预防和治疗疫苗的配制中的方法。讨论了这项工作与先前对形状空间的研究之间的关系。

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