State Key Laboratory of Developmental Biology of Freshwater Fish, Hunan Provincial Key Laboratory of Microbial Molecular Biology, College of Life Science, Hunan Normal University, Changsha 410081, P. R. China.
Analyst. 2019 Mar 11;144(6):1881-1891. doi: 10.1039/c8an02115e.
Tumorigenesis, metastasis, and the recurrence of cancer, which may result from the abnormal presence or activation of cancer stem cells (CSCs), are involved in disorders of exchanged matter (biomarkers), energy and information in living organisms. Rapid and sensitive detection and imaging of CSC biomarkers (such as CD133) are helpful for early diagnosis and therapeutic evaluation of tumors. Recently, a preliminary exploration of a few affinity molecules (like peptide-based probes) has just begun for chemical measurements and imaging of CSC biomarker CD133. However, a comprehensive analysis of the matter, energy and information in an artificial molecular system has not been demonstrated and applied to biosensing and disease diagnosis. In this study, a graphene-peptide-based fluorescent sensing system was constructed by utilizing a graphene oxide platform and a CD133-specific recognition peptide and comprehensively analysed with respect to matter (molecular events), energy (fluorescence) and information flow. The molecular event interaction networks in this system were further used to perform molecular logic computing, for the sensitive detection of CSC marker CD133 (with a linear range from 0 to 630 nM and a detection limit of 7.91 nM), and for an application involving targeting the imaging of cells and tumor tissues that highly express CD133 (with a detection limit of 1.1 × 103 cells per mL for CT26 CSCs). The present report will provide more opportunities for the development and design of molecular-level intelligent complex systems and will probably promote the development of artificial intelligent sensing and treatment systems, a molecular-level "Internet of Things", and artificial life.
肿瘤的发生、转移和复发可能源于癌症干细胞（CSC）的异常存在或激活，涉及到生物体中物质（生物标志物）、能量和信息的交换紊乱。CSC 生物标志物（如 CD133）的快速、灵敏检测和成像有助于肿瘤的早期诊断和治疗评估。最近，人们刚刚开始初步探索几种亲和分子（如基于肽的探针），用于 CSC 标志物 CD133 的化学测量和成像。然而，在人工分子系统中对物质、能量和信息的综合分析尚未得到证明，并应用于生物传感和疾病诊断。在本研究中，构建了基于石墨烯-肽的荧光传感系统，利用氧化石墨烯平台和 CD133 特异性识别肽，从物质（分子事件）、能量（荧光）和信息流三个方面对其进行了综合分析。该系统中的分子事件相互作用网络进一步用于执行分子逻辑计算，以实现对 CSC 标志物 CD133 的灵敏检测（线性范围为 0 至 630 nM，检测限为 7.91 nM），并应用于靶向高表达 CD133 的细胞和肿瘤组织的成像（检测限为每毫升 CT26 CSCs 1.1×103 个细胞）。本报告将为开发和设计分子级智能复杂系统提供更多机会，并可能促进人工智能传感和治疗系统、分子级“物联网”和人工生命的发展。
