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Development of Single-Molecule Electrical Identification Method for Cyclic Adenosine Monophosphate Signaling Pathway

机译:循环腺苷一磷酸型信号通路单分子电识别方法的研制

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摘要

Cyclic adenosine monophosphate (cAMP) is an important research target because it activates protein kinases, and its signaling pathway regulates the passage of ions and molecules inside a cell. To detect the chemical reactions related to the cAMP intracellular signaling pathway, cAMP, adenosine triphosphate (ATP), adenosine monophosphate (AMP), and adenosine diphosphate (ADP) should be selectively detected. This study utilized single-molecule quantum measurements of these adenosine family molecules to detect their individual electrical conductance using nanogap devices. As a result, cAMP was electrically detected at the single molecular level, and its signal was successfully discriminated from those of ATP, AMP, and ADP using the developed machine learning method. The discrimination accuracies of a single cAMP signal from AMP, ADP, and ATP were found to be 0.82, 0.70, and 0.72, respectively. These values indicated a 99.9% accuracy when detecting more than ten signals. Based on an analysis of the feature values used for the machine learning analysis, it is suggested that this discrimination was due to the structural difference between the ribose of the phosphate site of cAMP and those of ATP, ADP, and AMP. This method will be of assistance in detecting and understanding the intercellular signaling pathways for small molecular second messengers.
机译:环状腺苷一磷酸盐(CAMP)是一种重要的研究靶标,因为它激活蛋白激酶,其信号通路调节离子和分子在细胞内的通过。为了检测与CAMP细胞内信号传导途径,CAMP,腺苷三磷酸(ATP),腺苷一磷酸(AMP)和腺苷二磷酸(ADP)的化学反应应选择性地检测。该研究利用这些腺苷家族分子的单分子量子测量来检测它们使用纳米孔装置的各个电导率。结果,在单一分子水平上电检测阵营,其信号通过开发的机器学习方法成功地与ATP,AMP和ADP的信号。从AMP,ADP和ATP的单个阵营信号的辨别精度分别为0.82,0.70和0.72。这些值在检测到十个信号时表示高精度为99.9%。基于对机器学习分析的特征值的分析,建议这种判别是由于营养蛋白母瘤的核糖和ATP,ADP和AMP的结构差异。该方法将有助于检测和理解小分子第二信使的细胞间信号通路。

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