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首页> 外文期刊>Annual review of biophysics >Matrix Mechanosensing: From Scaling Concepts in 'Omics Data to Mechanisms in the Nucleus, Regeneration, and Cancer
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Matrix Mechanosensing: From Scaling Concepts in 'Omics Data to Mechanisms in the Nucleus, Regeneration, and Cancer

机译:矩阵机械损伤:从“OMICS数据中的缩放概念到核,再生和癌症中的机制

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Many of the most important molecules of life are polymers. In animals, the most abundant of the proteinaceous polymers are the collagens, which constitute the fibrous matrix outside cells and which can also self-assemble into gels. The physically measurable stiflhess of gels, as well as tissues, increases with the amount of collagen, and cells seem to sense this stiffness. An understanding of this mechanosensing process in complex tissues, including fibrotic disease states with high collagen, is now utilizing 'omics data sets and is revealing polymer physics-type, nonlinear scaling relationships between concentrations of seemingly unrelated biopolymers. The nuclear structure protein lamin A provides one example, with protein and transcript levels increasing with collagen 1 and tissue stiflhess, and with mechanisms rooted in protein stabilization induced by cytoskeletal stress. Physics-based models of fibrous matrix, cytoskeletal force dipoles, and the lamin A gene circuit illustrate the wide range of testable predictions emerging for tissues, cell cultures, and even stem cell-based tissue regeneration. Beyond the epigenetics of mechanosensing, the scaling in cancer of chromosome copy number variations and other mutations with tissue stiffness suggests that genomic changes are occurring by mechanogenomic processes that now require elucidation.
机译:许多最重要的生命分子是聚合物。在动物中,最丰富的蛋白质聚合物是胶粘剂,其构成外部细胞外的纤维基质,并且还可以自组装成凝胶。凝胶的物理可测量的凝胶和组织随着胶原的量而增加,细胞似乎感觉到这种刚度。对复杂组织中的这种机组致态过程的理解,包括高胶原蛋白的纤维化疾病状态,现在利用“OMICS数据集并且揭示了看似无关的生物聚合物的浓度之间的聚合物物理型,非线性缩放关系。核结构蛋白Lamina提供一个实例,用胶原1和组织Stiflhess增加蛋白质和转录水平,并且通过细胞骨骼应力诱导的蛋白质稳定化的机制。基于物理基纤维基质模型,细胞骨架力偶极子和Lamin A基因电路说明了用于组织,细胞培养物,甚至干细胞基组织再生的各种可测试预测。除了机械静脉的外观遗传学之外,染色体拷贝数变化和其他具有组织刚度的其他突变的癌症表明,通过现在需要阐明的机械原过程发生基因组变化。

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