Digitally Assisted Single-Particle Tracking for Accurate Analysis of Complicated Cargo Transport Dynamics in Microtubule Networks

IF 6.7 1区 化学 Q1 CHEMISTRY, ANALYTICAL Analytical Chemistry Pub Date : 2025-04-17 DOI:10.1021/acs.analchem.4c07046
Xiaodong Cheng, Xiaojuan Cheng, Riyang Huang, Linying Zeng, Dongliang Song, Xin Zhang, Yan Wang, Teng-Xiang Huang, Kuangcai Chen, Ning Fang, Xiaokun Li
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Abstract

Intracellular transport is a fundamental process crucial for cellular function, driven by the coordinated action of motor proteins that move cargo along microtubule tracks. Traditional tracking methods primarily focus on cargo trajectories, often overlooking rotational dynamics and their impact on cargo interactions with the complex microtubule network. To address this limitation, we introduced a digitally assisted single-particle tracking (dSPT) method that significantly advances the angular resolution of intracellular cargo dynamics. By integrating intensity measurements with advanced digital classification algorithms to process defocused half-plane image patterns captured through bifocal parallax microscopy, this approach extends the angular resolution range from the conventional method to a full 0–360° range, even in heterogeneous cellular environments, while maintaining high spatial and temporal resolutions. In intracellular transport events, we directly observed the accurate determination of the chiral rotational directions and precise calculation of the step angles. When combined with super-resolution radial fluctuation (SRRF) imaging to achieve higher-resolution microtubule imaging, our dSPT technique enables in vivo investigations of cargo dynamics during intracellular transport. To validate this, we studied the rotational dynamics of the cargo in microtubule confinement. Furthermore, we identified characteristic patch-searching patterns in the microtubule network, where cargo exhibited a combined motion pattern of confined and hopping diffusion to navigate through the constraints imposed by the microtubules.

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利用数字辅助单粒子跟踪技术精确分析微管网络中复杂的货物运输动态
细胞内运输是一个对细胞功能至关重要的基本过程,由沿微管轨道移动货物的运动蛋白的协调作用驱动。传统的跟踪方法主要关注货物轨迹,往往忽略了旋转动力学及其对货物与复杂微管网络相互作用的影响。为了解决这一限制,我们引入了一种数字辅助单粒子跟踪(dSPT)方法,该方法显著提高了细胞内货物动力学的角度分辨率。通过将强度测量与先进的数字分类算法相结合,处理双焦点视差显微镜捕获的离焦半平面图像模式,该方法将角分辨率范围从传统方法扩展到完整的0-360°范围,即使在异构细胞环境中,同时保持高空间和时间分辨率。在细胞内转运过程中,我们直接观察到手性旋转方向的精确测定和阶跃角的精确计算。当与超分辨率径向波动(SRRF)成像相结合以获得更高分辨率的微管成像时,我们的dSPT技术可以在细胞内运输过程中对货物动力学进行体内研究。为了验证这一点,我们研究了微管约束下货物的旋转动力学。此外,我们确定了微管网络中的特征补丁搜索模式,其中货物表现出限制和跳跃扩散的组合运动模式,以通过微管施加的约束进行导航。
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来源期刊
Analytical Chemistry
Analytical Chemistry 化学-分析化学
CiteScore
12.10
自引率
12.20%
发文量
1949
审稿时长
1.4 months
期刊介绍: Analytical Chemistry, a peer-reviewed research journal, focuses on disseminating new and original knowledge across all branches of analytical chemistry. Fundamental articles may explore general principles of chemical measurement science and need not directly address existing or potential analytical methodology. They can be entirely theoretical or report experimental results. Contributions may cover various phases of analytical operations, including sampling, bioanalysis, electrochemistry, mass spectrometry, microscale and nanoscale systems, environmental analysis, separations, spectroscopy, chemical reactions and selectivity, instrumentation, imaging, surface analysis, and data processing. Papers discussing known analytical methods should present a significant, original application of the method, a notable improvement, or results on an important analyte.
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