Single-Cell Information Analysis Reveals That Skeletal Muscles Incorporate Cell-to-Cell Variability as Information Not Noise
Single-Cell Information Analysis Reveals That Skeletal Muscles Incorporate Cell-to-Cell Variability as Information Not Noise
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单细胞信息分析揭示骨骼肌将细胞间的变异性视为信息而不是噪音
DOI：
10.1016/j.celrep.2020.108051
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发表时间：
2020
期刊：
影响因子：
8.8
通讯作者：
Manabe Yas
中科院分区：
文献类型：
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作者：
Wada Takumi;Hironaka Ken-ichi;Wataya Mitsutaka;Fujii Masashi;Eto Miki;Uda Shinsuke;Hoshino Daisuke;Kunida Katsuyuki;Inoue Haruki;Kubota Hiroyuki;Takizawa Tsuguto;Karasawa Yasuaki;Nakatomi Hirofumi;Saito Nobuhito;Hamaguchi Hiroki;Furuichi Yasuro;Manabe Yas
生物系统中信号转导的细胞间变异性通常被认为是噪声。然而，细胞间变异（即，细胞间变异性）具有使单个细胞能够编码不同信息的潜力。在这里，我们表明，细胞间的变化增加骨骼肌的信息传输。我们分析了多个培养的肌管或分离的骨骼肌纤维作为一个多细胞通道组成的单细胞通道的反应。我们发现，多细胞通道，其中包括细胞间的变化作为信息，而不是噪音，传输更多的信息，在细胞间的变化的存在下，比在没有根据“响应多样性效应”，增加剂量响应的渐进性，通过总结细胞到细胞的可变剂量响应。我们量化了术中神经生理监测过程中人类面部肌肉收缩的信息传输，发现肌肉收缩的信息传输与多细胞通道的信息传输相当。因此，我们的数据表明，细胞间的变化可以增加组织的信息容量。
Cell-to-cell variability in signal transduction in biological systems is often considered noise. However, intercellular variation (i.e., cell-to-cell variability) has the potential to enable individual cells to encode different information. Here, we show that intercellular variation increases information transmission of skeletal muscle. We analyze the responses of multiple cultured myotubes or isolated skeletal muscle fibers as a multiple-cell channel composed of single-cell channels. We find that the multiple-cell channel, which incorporates intercellular variation as information, not noise, transmitted more information in the presence of intercellular variation than in the absence according to the "response diversity effect," increasing in the gradualness of dose response by summing the cell-to-cell variable dose responses. We quantify the information transmission of human facial muscle contraction during intraoperative neurophysiological monitoring and find that information transmission of muscle contraction is comparable to that of a multiple-cell channel. Thus, our data indicate that intercellular variation can increase the information capacity of tissues.