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Mapping dynamic mechanical remodeling in 3D tumor models via particle tracking microrheology

机译:通过粒子跟踪微流变学在3D肿瘤模型中映射动态机械重塑

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Particle tracking microrheology (PTM) has recently been employed as a non-destructive way to longitudinally track physical changes in 3D pancreatic tumor co-culture models concomitant with tumor growth and invasion into the extracellular matrix (ECM). While the primary goal of PTM is to quantify local viscoelasticity via the Generalized Stokes-Einstein Relation (GSER), a more simplified way of describing local tissue mechanics lies in the tabulation and subsequent visualization of the spread of probe displacements in a given field of view. Proper analysis of this largely untapped byproduct of standard PTM has the potential to yield valuable insight into the structure and integrity of the ECM. Here, we use clustering algorithms in R to analyze the trajectories of probes in 3D pancreatic tumor/fibroblast co-culture models in an attempt to differentiate between probes that are effectively constrained by the ECM and/or contractile traction forces, and those that exhibit uninhibited mobility in local water-filled pores. We also discuss the potential pitfalls of this method. Accurately and reproducibly quantifying the boundary between these two categories of probe behavior could result in an effective method for measuring the average pore size in a given region of ECM. Such a tool could prove useful for studying stromal depletion, physical impedance to drug delivery, and degradation due to cellular invasion.
机译:粒子跟踪微流变学(PTM)最近已被用作一种非破坏性方法,以纵向跟踪3D胰腺肿瘤共培养模型中伴随肿瘤生长和侵入细胞外基质(ECM)的物理变化。 PTM的主要目标是通过广义Stokes-Einstein关系(GSER)量化局部粘弹性,而描述局部组织力学的更简化方法是在给定视场中制表并随后可视化探头位移的分布。对这种标准PTM尚未开发的副产品进行适当的分析,有可能对ECM的结构和完整性产生有价值的见解。在这里,我们使用R中的聚类算法来分析3D胰腺肿瘤/成纤维细胞共培养模型中探针的轨迹,以试图区分受ECM和/或收缩牵引力有效约束的探针,以及表现出不受抑制的探针在局部充满水的毛孔中的流动性。我们还将讨论此方法的潜在陷阱。准确且可重复地量化这两种类型的探针行为之间的边界可能会导致一种有效的方法,用于测量给定ECM区域中的平均孔径。这样的工具可用于研究基质耗竭,对药物递送的物理阻抗以及由于细胞入侵而引起的降解。

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