活细胞和多细胞生物的单分子跟踪和动力学分析。

IF 4.7 2区 生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY
J Christof M Gebhardt
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引用次数: 0

摘要

在一个活的有机体中,随机相互作用的分子的相互作用产生了在空间和时间上强有力地组织起来的结构和过程。单分子定位显微镜和跟踪技术成为可视化活细胞或多细胞生物中单个荧光标记分子的超分辨空间分布和实时运动的重要技术。因此,单分子跟踪(SMT)能够量化重要生物过程背后的动力学机制。本文综述了SMT在活细胞和多细胞生物中的研究方法,包括标记方法和显微镜技术,重点介绍了SMT在时间激发模式方面的最新进展,这些模式有助于提取SMT的动力学特性和分析SMT可获得的分子动力学参数。重点在于应用这种方法来量化蛋白质的动力学,如转录因子,并强调了一些最近的例子。本文最后展望了SMT在生命系统中的未来前景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Single-molecule Tracking and Kinetic Analysis in Living Cells and Multicellular Organisms.

In a living organism, the interplay of stochastically interacting molecules brings forth structures and processes robustly organized in space and time. Single-molecule localization microscopy and tracking emerged as important techniques to visualize the super-resolved spatial distribution and real-time motion of individual fluorescently labeled molecules in a living cell or multicellular organism. Thereby, single-molecule tracking (SMT) enables quantifying kinetic mechanisms underlying vital organismal processes. This review covers the methodology of SMT in living cells and multicellular organisms, including labeling approaches and microscopy techniques, with a focus on recent developments in temporal excitation patterns facilitating extracting kinetic properties and the analysis of molecular kinetic parameters accessible by SMT. Emphasis lies on the application of this methodology to quantifying the kinetics of proteins such as transcription factors, and some recent examples are highlighted. The review concludes by envisioning future perspectives of SMT in living systems.

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来源期刊
Journal of Molecular Biology
Journal of Molecular Biology 生物-生化与分子生物学
CiteScore
11.30
自引率
1.80%
发文量
412
审稿时长
28 days
期刊介绍: Journal of Molecular Biology (JMB) provides high quality, comprehensive and broad coverage in all areas of molecular biology. The journal publishes original scientific research papers that provide mechanistic and functional insights and report a significant advance to the field. The journal encourages the submission of multidisciplinary studies that use complementary experimental and computational approaches to address challenging biological questions. Research areas include but are not limited to: Biomolecular interactions, signaling networks, systems biology; Cell cycle, cell growth, cell differentiation; Cell death, autophagy; Cell signaling and regulation; Chemical biology; Computational biology, in combination with experimental studies; DNA replication, repair, and recombination; Development, regenerative biology, mechanistic and functional studies of stem cells; Epigenetics, chromatin structure and function; Gene expression; Membrane processes, cell surface proteins and cell-cell interactions; Methodological advances, both experimental and theoretical, including databases; Microbiology, virology, and interactions with the host or environment; Microbiota mechanistic and functional studies; Nuclear organization; Post-translational modifications, proteomics; Processing and function of biologically important macromolecules and complexes; Molecular basis of disease; RNA processing, structure and functions of non-coding RNAs, transcription; Sorting, spatiotemporal organization, trafficking; Structural biology; Synthetic biology; Translation, protein folding, chaperones, protein degradation and quality control.
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