Acosta Ramirez Ivon, Choudhury Sruti Das, Conover Carley, Sadak Omer, Iverson Nicole M
Department of Biological Systems Engineering, College of Agricultural Sciences and Natural Resources University of Nebraska-Lincoln Lincoln Nebraska 68504 USA.
School of Natural Resources, College of Agricultural Sciences and Natural Resources University of Nebraska-Lincoln Lincoln Nebraska 68504 USA.
Small Sci. 2025 Feb 4;5(4):2400493. doi: 10.1002/smsc.202400493. eCollection 2025 Apr.
Cell communication via chemical signaling depends on spatial and temporal concentration changes. Nitric oxide (NO), a gaseous signaling molecule, is critical in physiological and pathological processes. However, current NO sensing methods lack the spatiotemporal resolution necessary to study subcellular NO efflux. This study introduces an innovative sensory platform utilizing single-walled carbon nanotubes (SWNT) as an optical transducer for the spatial and temporal detection of extracellular NO. The platform quantifies NO diffusion gradients produced by human (THP-1) and murine (RAW 264.7) macrophage cells. The uniform fluorescence distribution of the nanoarray enables precise analysis of NO efflux directionality, both under and surrounding the cell. It is demonstrated that cellular adhesion to the surface of the sensory platform does not affect its fluorescence functionality or sensing response rate. By combining the platform's high spatiotemporal resolution with the advanced analysis methods, the SWNT sensor platform offers a robust tool for studying extracellular NO dynamics within the cellular microenvironment. This work lays the foundation for advanced diagnostic and therapeutic tools elucidating NO cellular communication analysis.
通过化学信号进行的细胞通讯依赖于空间和时间上的浓度变化。一氧化氮(NO)作为一种气态信号分子,在生理和病理过程中至关重要。然而,当前的NO传感方法缺乏研究亚细胞NO外流所需的时空分辨率。本研究引入了一种创新的传感平台,利用单壁碳纳米管(SWNT)作为光学换能器,用于对细胞外NO进行空间和时间检测。该平台可量化人(THP-1)和鼠(RAW 264.7)巨噬细胞产生的NO扩散梯度。纳米阵列的均匀荧光分布能够精确分析细胞内和细胞周围NO外流的方向性。结果表明,细胞粘附在传感平台表面不会影响其荧光功能或传感响应率。通过将该平台的高时空分辨率与先进的分析方法相结合,SWNT传感器平台为研究细胞微环境中的细胞外NO动态提供了一个强大的工具。这项工作为阐明NO细胞通讯分析的先进诊断和治疗工具奠定了基础。