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    • 2. 发明申请
    • Process for Recognizing Signatures in Complex Gene Expression Profiles
    • 识别复杂基因表达谱中的特征的过程
    • US20080108509A1
    • 2008-05-08
    • US11547040
    • 2005-04-04
    • Thomas HauplJoachim GrunAndreas RadbruchGerd-Rudiger BurmesterChristian KapsAndreas Grutzkau
    • Thomas HauplJoachim GrunAndreas RadbruchGerd-Rudiger BurmesterChristian KapsAndreas Grutzkau
    • C40B30/02G06G7/48C40B60/12
    • C12Q1/6809
    • This invention relates to a process for recognizing signatures in complex gene expression profiles that comprises the steps of: a) making available a biological sample that is to be examined, b) making available at least one suitable expression profile, whereby at least one expression profile comprises one or more markers that are typical exclusively of the expression profile, c) determining the complex expression profile of the biological sample, d) determining the quantitative cellular composition of the biological sample by means of the expression profiles determined in steps b) and c). In addition, the process according to the invention can comprise the steps of e) calculating a virtual signal that is expected based on the specific composition of the expression profile, f) calculation of the difference from the actually measured complex expression profile and the virtual signal, and g) determination of the quantitative composition of the complex expression profile based on the determined differences. In addition, this invention relates to the application of the process according to the invention in the diagnosis, prognosis and/or tracking of a disease. Finally, corresponding computer systems, computer programs, computer-readable data media and laboratory robots or evaluating devices for molecular detection methods are disclosed.
    • 本发明涉及用于识别复合基因表达谱中的特征的方法,其包括以下步骤:a)提供待检查的生物样品,b)提供至少一种合适的表达谱,其中至少一个表达谱 包括一个或多个仅表达谱的典型的标记,c)确定生物样品的复合物表达谱,d)通过步骤b)和c中确定的表达谱确定生物样品的定量细胞组成 )。 此外,根据本发明的过程可以包括以下步骤:e)基于表达简档的特定组合来计算期望的虚拟信号,f)与实际测量的复合表达谱和虚拟信号的差的计算 ,以及g)基于确定的差异确定复合体表达谱的定量组成。 此外,本发明涉及根据本发明的方法在疾病的诊断,预后和/或跟踪中的应用。 最后,公开了相应的计算机系统,计算机程序,计算机可读数据介质和实验室机器人或用于分子检测方法的评估装置。