基于核酸线性阈值门的普适性肿瘤原发组织鉴别方法

This study would deal with the problem of identification of the tissue origin of cancers, and aim at the achievements of concise, precise and universal solution of this problem. The work are to be carried out on the base of current knowledge on the miRNA expression levels in different cancer tissue origins; the leading theories, methods and techniques such as nucleic acid molecular machines and artificial neuron based on linear threshold logic would be utilized in association to generalize and integrate the complicate relations of the different specific cancer tissue origin to the corresponding miRNA expression levels into the uni-system integrated linear threshold logic, and nucleic acid molecular machine would be designed, constructed and assembled to implement the aforementioned logic; at last the universal identification methodology based on single system would be established.

本研究针对当前医学界对解决肿瘤原发组织鉴定问题的迫切需求，以实现对肿瘤原发组织的简捷、精确、广泛的鉴定为目标，立足于当前对各种肿瘤原发组织中miRNA特征表达模式的前沿研究成果，综合运用核酸分子机器和基于线性阈值逻辑的人工神经元等前沿理论和技术，归纳整合肿瘤组织中miRNA表达模式与肿瘤原发组织的复杂对应关系，建立以不同miRNA特征标志物的表达水平为输入、以不同癌症原发组织选项的判断结果为输出的并行多输入、多输出的整合的线性阈值逻辑，并以核酸分子机器为实体运行部件构建核酸线性阈值门回路以实现上述逻辑，建立普适于各种肿瘤原发组织的单一系统的鉴定方法体系。

本研究针对当前医学界对解决肿瘤原发组织鉴定问题的迫切需求，以实现对肿瘤原发组织的简捷、精确、广泛的鉴定为目标，立足于当前对各种肿瘤原发组织中 miRNA 特征表达模式的前沿研究成果，综合运用核酸分子机器和基于线性阈值逻辑的人工神经元等前沿理论和技术，归纳整合肿瘤组织中miRNA 表达模式与肿瘤原发组织的复杂对应关系，建立以不同 miRNA 特征标志物的表达水平为输入、以不同癌症原发组织选项的判断结果为输出的并行多输入、多输出的整合的线性阈值逻辑，并以核酸分子机器为实体运行部件构建核酸线性阈值门回路以实现上述逻辑，建立普适于各种肿瘤原发组织的单一系统的鉴定方法体系。