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正电子发射断层扫描(PET)与基因阵列数据的融合:分子生物学数据与临床数据关联分析的新方法。

Fusion of positron emission tomography (PET) and gene array data: a new approach for the correlative analysis of molecular biological and clinical data.

作者信息

Strauss Ludwig G, Pan Leyun, Koczan Dirk, Klippel Sven, Mikolajczyk Krzysztof, Burger Cyrill, Haberkorn Uwe, Schönleben Klaus, Thiesen Hans-Jürgen, Dimitrakopoulou-Strauss Antonia

机构信息

German Cancer Research Center, Heidelberg 69120, Germany.

出版信息

IEEE Trans Med Imaging. 2007 Jun;26(6):804-12. doi: 10.1109/TMI.2007.892645.

DOI:10.1109/TMI.2007.892645
PMID:17679331
Abstract

The combined assessment of data obtained by positron emission tomography (PET) and gene array techniques provide new capabilities for the interpretation of kinetic tracer studies. The correlative analysis of the data helps to detect dependencies of the kinetics of radiotracer on gene expression. Furthermore, gene expression may be predicted using regression functions if a significant correlation exists, which raises new aspects regarding the interpretation of dynamic PET examinations. The development of new radiopharmaceuticals requires the knowledge of the enhanced expression of genes, especially genes controlling receptors and cell surface proteins. The GenePET program facilitates an interactive approach together with the use of key words to identify possible targets for new radiopharmaceuticals.

摘要

正电子发射断层扫描(PET)和基因阵列技术所获数据的联合评估为动力学示踪研究的解读提供了新能力。数据的相关分析有助于检测放射性示踪剂动力学与基因表达之间的相关性。此外,如果存在显著相关性,可使用回归函数预测基因表达,这为动态PET检查的解读带来了新的方面。新型放射性药物的研发需要了解基因的增强表达,尤其是控制受体和细胞表面蛋白的基因。GenePET程序促进了一种交互式方法,并结合使用关键词来识别新型放射性药物的可能靶点。

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