Mechanisms of cell shape change in cytokinesis

项目摘要 胞质分裂是一个细胞分裂成两个细胞的物理过程。有丝分裂或减数分裂细胞周期的最后一步 将复制和分离的基因组分割成拓扑上不同的子细胞，从而确保 基因组的稳定性。胞质分裂对于受精卵发育成多细胞生物体是必不可少的，因为 补充组织以补偿磨损和避免扩散疾病，包括 癌症和一些中性粒细胞减少症(血细胞疾病)。一个多世纪以来，人们惊叹于 在显微镜下分裂动物细胞，但关于细胞质分裂机制的主要问题仍然存在。许多. 这些问题属于我们研究计划的三个主题：1)细胞骨架重排， 驱动收缩，2)反馈环在细胞动力学调节中的作用，以及3)对中尺度进行建模。 在动物的细胞质分裂中，当细胞赤道上形成一条沟时，细胞会改变形状。 由来自后期纺锤体的时空线索所定义的两块分离的染色质。这些 信号导致质膜上RhoA的局部激活。RhoA诱导非肌肉肌球蛋白II(NMMII) 细丝的组装和活性，由福尔马林产生的长肌动蛋白细丝(F-肌动蛋白)，以及皮质 招募交联剂，包括香草素和七叶素。总之，皮质肌动球蛋白的一条圆周带 细胞骨架通过这些细胞骨架组件的重新排列来组装和收缩。F-肌动蛋白下滑， 成束、交联和偶联到质膜上，极性分类、弯曲、破碎和解聚。 许多纳米尺度结合伙伴的生物物理学都得到了很好的研究，但通常是在稀少的收集和 不受拘禁。由于上述许多活动对体内网络的相对贡献 动力学是未知的，我们的第一个主题是定义细胞骨架重构，它是收缩能力的基础。 在纺锤体线索形成细胞赤道模式后，生化和机械正反馈都会增强 这些信号。同时，通过负反馈的全局和局部抑制限制了RhoA的活性。我们的 未发表的收缩振荡观察表明，多个负反馈环共存。这个 我们工作的第二个主题是反馈环在细胞动力学调节中的作用。 为了开发细胞分裂中细胞骨架重排的概念模型，人们可以想象 纳米级的分子和纤维及其毫秒级的行为实际上编织成了一种动态材料。喜欢 生物物理学和细胞生物学，数学模型也分别描述了细胞骨架重排 时间和长度尺度的这两个末端，通过不同的方法：基于粒子的建模(纳米或微米 或连续介质力学理论(宏观尺度)。由于这两种方法都具有有限的能力 细胞动环成分活性的中尺度时空异质性 状态、行为、丰度和组合，我们正在努力理解细胞动细胞骨架 通过创新方法模拟中尺度(主题三)，重新安排和综合管理。

Project Summary Cytokinesis is the physical division of one cell into two. This final step of the mitotic or meiotic cell cycle partitions the duplicated and segregated genome into topologically distinct daughter cells, and thus ensures genome stability. Cytokinesis is essential for development of the fertilized egg into a multicellular organism, for the replenishment of tissues to compensate for wear and tear, and to avoid diseases of proliferation including cancer and some neutropenias (blood cell disorders). For over a century, people have marveled through the microscope at dividing animal cells, but major questions about the mechanisms of cytokinesis remain. Many of these questions fall under the three Themes of our research program: 1) the cytoskeletal rearrangements that drive contractility, 2) the role of feedback loops in cytokinetic regulation, and 3) modeling the mesoscale. In animal cytokinesis, the cell changes shape as a furrow forms at the cell equator, the region between the two masses of segregated chromatin, as defined by spatio-temporal cues from the anaphase spindle. These cues lead to local activation of RhoA at the plasma membrane. RhoA elicits non-muscle myosin II (NMMII) filament assembly and activity, the generation of long actin filaments (F-actin) by formins, and the cortical recruitment of crosslinkers including anillin and septins. In sum, a circumferential band of cortical actomyosin cytoskeleton assembles and contracts via rearrangement of these cytoskeletal components. F-actin is slid, bundled, crosslinked and coupled to the plasma membrane, polarity sorted, bent, broken and depolymerized. The biophysics of many nano-scale binding partnerships are well studied, but often with sparse collections and without confinement. Since the relative contributions of the many activities listed above to in vivo network dynamics are unknown, our first theme is to define the cytoskeletal remodeling that underlies contractility. After spindle cues pattern the cell equator, both biochemical and mechanical positive feedback boosts these signals. Concurrently, global and localized inhibition via negative feedback limits RhoA activity. Our unpublished observations of contractile oscillations suggest that multiple negative feedback loops coexist. The second theme of our work is the role of feedback loops in cytokinetic regulation. To develop a conceptual model of cytoskeletal rearrangements in cell division, one may imagine the nanoscale molecules and fibers and their millisecond behaviors literally woven into a dynamic material. Like biophysics and cell biology, respectively, mathematical modeling also describes cytoskeletal rearrangements at these two ends of the time- and length scales, via distinct approaches: particle-based modeling (nano- or micro- scale), or continuum mechanics theory (macro-scale). Since both families of approaches have limited ability to coarse grain the mesoscale spatial and temporal heterogeneities of the cytokinetic ring components’ activity states, behaviors, abundances, and combinations, we are working to understand cytokinetic cytoskeletal rearrangements and integrated regulation, by innovating methods to model the mesoscale (theme three).