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X 射线衍射和同时肌电图揭示了肌丝晶格扩张和丝拉伸的时程。

X-ray diffraction and simultaneous EMG reveal the time course of myofilament lattice dilation and filament stretch.

机构信息

Department of Biology, University of Washington, Seattle, WA 98105, USA

Department of Biology, University of Washington, Seattle, WA 98105, USA.

出版信息

J Exp Biol. 2020 Sep 3;223(Pt 17):jeb224188. doi: 10.1242/jeb.224188.

DOI:10.1242/jeb.224188
PMID:32709625
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7490515/
Abstract

Muscle function within an organism depends on the feedback between molecular and meter-scale processes. Although the motions of muscle's contractile machinery are well described in isolated preparations, only a handful of experiments have documented the kinematics of the lattice occurring when multi-scale interactions are fully intact. We used time-resolved X-ray diffraction to record the kinematics of the myofilament lattice within a normal operating context: the tethered flight of As the primary flight muscles of are synchronous, we used these results to reveal the timing of cross-bridge recruitment, which occurred 24 ms (s.d. 26) following activation. In addition, the thick filaments stretched an average of 0.75% (s.d. 0.32) and thin filaments stretched 1.11% (s.d. 0.65). In contrast to other preparations, lattice spacing changed an average of 2.72% (s.d. 1.47). Lattice dilation of this magnitude significantly affects shortening velocity and force generation, and filament stretching tunes force generation. While the kinematics were consistent within individual trials, there was extensive variation between trials. Using a mechanism-free machine learning model we searched for patterns within and across trials. Although lattice kinematics were predictable within trials, the model could not create predictions across trials. This indicates that the variability we see across trials may be explained by latent variables occurring in this naturally functioning system. The diverse kinematic combinations we documented mirror muscle's adaptability and may facilitate its robust function in unpredictable conditions.

摘要

肌肉在生物体中的功能取决于分子和米级过程之间的反馈。尽管肌肉收缩机制的运动在分离的制剂中得到了很好的描述,但只有少数实验记录了多尺度相互作用完全完整时晶格的运动学。我们使用时间分辨 X 射线衍射来记录正常工作环境下肌丝晶格的运动学:被系绳束缚的飞行。由于 的主要飞行肌肉是同步的,我们使用这些结果来揭示横桥募集的时间,它发生在激活后 24ms(s.d. 26)。此外,厚丝平均拉伸 0.75%(s.d. 0.32),而薄丝拉伸 1.11%(s.d. 0.65)。与其他 制剂不同,晶格间距平均变化 2.72%(s.d. 1.47)。这种量级的晶格膨胀会显著影响缩短速度和力的产生,而丝的拉伸则调节力的产生。虽然在单个试验中运动学是一致的,但在试验之间存在广泛的变化。我们使用无机制的机器学习模型在试验内和试验间搜索模式。虽然晶格运动学在试验内是可预测的,但模型不能在试验间进行预测。这表明我们在试验间看到的可变性可能可以用发生在这个自然运作系统中的潜在变量来解释。我们记录的多样化运动学组合反映了肌肉的适应性,并可能有助于其在不可预测的条件下稳健的功能。

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