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在流体力作用下,破骨细胞和成骨细胞网络中细胞内钙信号的时空特性。

Spatiotemporal properties of intracellular calcium signaling in osteocytic and osteoblastic cell networks under fluid flow.

机构信息

Department of Biomedical Engineering, Fourth Military Medical University, Xi'an, Shaanxi 710032, China.

出版信息

Bone. 2013 Apr;53(2):531-40. doi: 10.1016/j.bone.2013.01.008. Epub 2013 Jan 14.

Abstract

Mechanical stimuli can trigger intracellular calcium (Ca(2+)) responses in osteocytes and osteoblasts. Successful construction of bone cell networks necessitates more elaborate and systematic analysis for the spatiotemporal properties of Ca(2+) signaling in the networks. In the present study, an unsupervised algorithm based on independent component analysis (ICA) was employed to extract the Ca(2+) signals of bone cells in the network. We demonstrated that the ICA-based technology could yield higher signal fidelity than the manual region of interest (ROI) method. Second, the spatiotemporal properties of Ca(2+) signaling in osteocyte-like MLO-Y4 and osteoblast-like MC3T3-E1 cell networks under laminar and steady fluid flow stimulation were systematically analyzed and compared. MLO-Y4 cells exhibited much more active Ca(2+) transients than MC3T3-E1 cells, evidenced by more Ca(2+) peaks, less time to the 1st peak and less time between the 1st and 2nd peaks. With respect to temporal properties, MLO-Y4 cells demonstrated higher spike rate and Ca(2+) oscillating frequency. The spatial intercellular synchronous activities of Ca(2+) signaling in MLO-Y4 cell networks were higher than those in MC3T3-E1 cell networks and also negatively correlated with the intercellular distance, revealing faster Ca(2+) wave propagation in MLO-Y4 cell networks. Our findings show that the unsupervised ICA-based technique results in more sensitive and quantitative signal extraction than traditional ROI analysis, with the potential to be widely employed in Ca(2+) signaling extraction in the cell networks. The present study also revealed a dramatic spatiotemporal difference in Ca(2+) signaling for osteocytic and osteoblastic cell networks in processing the mechanical stimulus. The higher intracellular Ca(2+) oscillatory behaviors and intercellular coordination of MLO-Y4 cells provided further evidences that osteocytes may behave as the major mechanical sensor in bone modeling and remodeling processes.

摘要

机械刺激可以触发骨细胞内的细胞内钙(Ca(2+))反应。成功构建骨细胞网络需要更精细和系统地分析网络中 Ca(2+)信号的时空特性。在本研究中,采用基于独立成分分析(ICA)的无监督算法提取网络中骨细胞的 Ca(2+)信号。结果表明,基于 ICA 的技术比手动感兴趣区域(ROI)方法具有更高的信号保真度。其次,系统分析和比较了在层流和稳定流体流动刺激下,成骨细胞样 MLO-Y4 和成骨细胞样 MC3T3-E1 细胞网络中 Ca(2+)信号的时空特性。MLO-Y4 细胞比 MC3T3-E1 细胞表现出更多的 Ca(2+)瞬变,表现为更多的 Ca(2+)峰、达到第一个峰的时间更短、第一个峰和第二个峰之间的时间更短。就时间特性而言,MLO-Y4 细胞表现出更高的尖峰率和 Ca(2+)振荡频率。MLO-Y4 细胞网络中 Ca(2+)信号的细胞间同步活动比 MC3T3-E1 细胞网络更高,并且与细胞间距离呈负相关,表明 MLO-Y4 细胞网络中 Ca(2+)波的传播速度更快。本研究结果表明,与传统 ROI 分析相比,基于 ICA 的无监督技术可实现更敏感和定量的信号提取,具有在细胞网络中提取 Ca(2+)信号的广泛应用潜力。本研究还揭示了成骨细胞和破骨细胞网络在处理机械刺激时 Ca(2+)信号的显著时空差异。MLO-Y4 细胞更高的细胞内 Ca(2+)振荡行为和细胞间协调性提供了进一步的证据,表明破骨细胞可能在骨形成和重塑过程中作为主要的机械传感器。

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本文引用的文献

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The amazing osteocyte.神奇的骨细胞。
J Bone Miner Res. 2011 Feb;26(2):229-38. doi: 10.1002/jbmr.320.
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