Lee Jun-Gyu, Jeong Inyoung, Kim Kwang-Eun
Organelle Medicine Research Center, Yonsei University Wonju College of Medicine, Wonju, Republic of Korea.
Department of Chemistry, Seoul National University, Seoul, Republic of Korea.
Exp Mol Med. 2025 Jul 10. doi: 10.1038/s12276-025-01491-4.
Proximity labeling (PL) techniques have advanced neuroscience by revealing the molecular interactions that govern neural circuits. From foundational tools such as BioID and APEX to recent innovations such as TurboID and light-activated systems, PL enables precise mapping of protein-protein interactions within living cells. Recent applications have identified dynamic protein networks in synaptic remodeling, calcium-dependent signaling and disease states, such as neurodegenerative and psychiatric disorders. These studies not only deepen our comprehension of the molecular architecture of the brain but also uncover novel therapeutic targets. By integrating PL with cutting-edge multi-omics strategies and advanced imaging technologies, researchers can decode the intricate interplay between structural and functional neural networks. As PL technologies continue to evolve, they bridge molecular and cellular neuroscience, offering a useful framework for unraveling the complexity of brain networks. Here, in this Review, we underscore the potential of PL in neuroscience, furthering our understanding of the molecular basis of neural connectivity in both health and disease.
邻近标记(PL)技术通过揭示调控神经回路的分子相互作用,推动了神经科学的发展。从诸如BioID和APEX等基础工具到TurboID和光激活系统等最新创新技术,PL能够精确绘制活细胞内蛋白质-蛋白质相互作用图谱。近期的应用已经在突触重塑、钙依赖信号传导以及疾病状态(如神经退行性疾病和精神疾病)中鉴定出动态蛋白质网络。这些研究不仅加深了我们对大脑分子结构的理解,还揭示了新的治疗靶点。通过将PL与前沿的多组学策略和先进的成像技术相结合,研究人员能够解码结构和功能神经网络之间复杂的相互作用。随着PL技术不断发展,它们架起了分子神经科学和细胞神经科学之间的桥梁,为揭示脑网络的复杂性提供了一个有用的框架。在此综述中,我们强调了PL在神经科学中的潜力,以进一步加深我们对健康和疾病状态下神经连接分子基础的理解。