Impact of tumor microenvironment on intracellular properties within a 3D system

Breast cancer remains one of the leading causes of cancer death in women with one in eight women expected to develop breast cancer. Breast cancer progression causes several adverse changes in the extracellular matrix (ECM) composition and organization including an increase in stromal collagen and stiffening of the ECM. Clinical studies have recently discovered that stiff and dense breast tissue, a result of the abnormal architecture of the tumor microenvironment, correlates with breast tumor growth and increases the likelihood of tumor metastasis. However, the tumor microenvironment influence on cancer progression and intracellular behavior is not well understood due to the lack of physiologically relevant three dimensional (3D) in vitro models that are able to capture the mechanical and structural in vivo complexity and are also able to provide rigorous and quantitative understanding. The goal of this dissertation is to investigate how the mechanical components of the microenvironment influence intracellular and molecular activity to drive cancer progression in a robust and scalable 3D system. In order to address these gaps, our work studied the the impact of collagen concentration, cell type, and drug incubation time on drug response in 2D and 3D environments. To understand the role of local cellular mechanics in mediating drug response, we optimized and utilized particle-tracking microrheology to quantify the intracellular activity of single cells and spheroids embedded in 3D collagen gels. Finally, our study connected both structure and mechanics with cell signaling by investigating the relationship between the mechanical components of the ECM and the YAP/TAZ pathway. Furthermore, we integrated our 3D embedded spheroid model with tissue clearing methods to allow for complete visualization of YAP/YAZ activity throughout the dense spheroid structure. Collectively, the results showed that matrix properties interact with matrix dimensionality to influence drug response. This interaction also was found to affect intracellular activity, even in the presence of chemotherapeutic and anti-MMP drugs. We then showed how this interaction in mechanics and ECM properties affects the spatial and temporal heterogeneity of YAP/YAZ activity within a 3D spheroid. Overall, the work in this dissertation provides new insights into how the physical properties of the tumor microenvironment influence cellular form and function, as well as response to therapy of cancer cells, which may have implications on development of novel treatment strategies and patient outcome

Mechanical and Systems Biology of Cancer

Mechanics and biochemical signaling are both often deregulated in cancer, leading to cancer cell phenotypes that exhibit increased invasiveness, proliferation, and survival. The dynamics and interactions of cytoskeletal components control basic mechanical properties, such as cell tension, stiffness, and engagement with the extracellular environment, which can lead to extracellular matrix remodeling. Intracellular mechanics can alter signaling and transcription factors, impacting cell decision making. Additionally, signaling from soluble and mechanical factors in the extracellular environment, such as substrate stiffness and ligand density, can modulate cytoskeletal dynamics. Computational models closely integrated with experimental support, incorporating cancer-specific parameters, can provide quantitative assessments and serve as predictive tools toward dissecting the feedback between signaling and mechanics and across multiple scales and domains in tumor progression.Comment: 18 pages, 3 figure

Passive and Active Microrheology for Biomedical Systems

Microrheology encompasses a range of methods to measure the mechanical properties of soft materials. By characterizing the motion of embedded microscopic particles, microrheology extends the probing length scale and frequency range of conventional bulk rheology. Microrheology can be characterized into either passive or active methods based on the driving force exerted on probe particles. Tracer particles are driven by thermal energy in passive methods, applying minimal deformation to the assessed medium. In active techniques, particles are manipulated by an external force, most commonly produced through optical and magnetic fields. Small-scale rheology holds significant advantages over conventional bulk rheology, such as eliminating the need for large sample sizes, the ability to probe fragile materials non-destructively, and a wider probing frequency range. More importantly, some microrheological techniques can obtain spatiotemporal information of local microenvironments and accurately describe the heterogeneity of structurally complex fluids. Recently, there has been significant growth in using these minimally invasive techniques to investigate a wide range of biomedical systems both in vitro and in vivo . Here, we review the latest applications and advancements of microrheology in mammalian cells, tissues, and biofluids and discuss the current challenges and potential future advances on the horizon

Multiscale mechanobiology: computational models for integrating molecules to multicellular systems

Mechanical signals exist throughout the biological landscape. Across all scales, these signals, in the form of force, stiffness, and deformations, are generated and processed, resulting in an active mechanobiological circuit that controls many fundamental aspects of life, from protein unfolding and cytoskeletal remodeling to collective cell motions. The multiple scales and complex feedback involved present a challenge for fully understanding the nature of this circuit, particularly in development and disease in which it has been implicated. Computational models that accurately predict and are based on experimental data enable a means to integrate basic principles and explore fine details of mechanosensing and mechanotransduction in and across all levels of biological systems. Here we review recent advances in these models along with supporting and emerging experimental findings.National Cancer Institute (U.S.) (U01-CA177799

Single-Cell Migration in Complex Microenvironments: Mechanics and Signaling Dynamics

Cells are highly dynamic and mechanical automata powered by molecular motors that respond to external cues. Intracellular signaling pathways, either chemical or mechanical, can be activated and spatially coordinated to induce polarized cell states and directional migration. Physiologically, cells navigate through complex microenvironments, typically in three-dimensional (3D) fibrillar networks. In diseases, such as metastatic cancer, they invade across physiological barriers and remodel their local environments through force, matrix degradation, synthesis, and reorganization. Important external factors such as dimensionality, confinement, topographical cues, stiffness, and flow impact the behavior of migrating cells and can each regulate motility. Here, we review recent progress in our understanding of single-cell migration in complex microenvironments.National Cancer Institute (U.S.) (Grant No. 5U01CA177799)National Institutes of Health (U.S.) (Ruth L. Kirschstein National Research Service Award

Tumor cell nuclei soften during transendothelial migration

During cancer metastasis, tumor cells undergo significant deformation in order to traverse through endothelial cell junctions in the walls of blood vessels. As cells pass through narrow gaps, smaller than the nuclear diameter, the spatial configuration of chromatin must change along with the distribution of nuclear enzymes. Nuclear stiffness is an important determinant of the ability of cells to undergo transendothelial migration, yet no studies have been conducted to assess whether tumor cell cytoskeletal or nuclear stiffness changes during this critical process in order to facilitate passage. To address this question, we employed two non-contact methods, Brillouin confocal microscopy (BCM) and confocal reflectance quantitative phase microscopy (QPM), to track the changes in mechanical properties of live, transmigrating tumor cells in an in vitro collagen gel platform. Using these two imaging modalities to study transmigrating MDA-MB-231, A549, and A375 cells, we found that both the cells and their nuclei soften upon extravasation and that the nuclear membranes remain soft for at least 24 h. These new data suggest that tumor cells adjust their mechanical properties in order to facilitate extravasation

Collective cell motility in 3-dimensions: dynamics, adhesions, and emergence of heterogeneity

Collective cell migration is ubiquitous in biology, from development to cancer; it is influenced by heterogeneous cell types, signals and matrix properties, and requires large scale regulation in space and time. Understanding how cells achieve organized collective motility is crucial to addressing cellular and tissue function and disease progression. While current two-dimensional model systems recapitulate the dynamic properties of collective cell migration, quantitative three-dimensional equivalent model systems have proved elusive. The overarching hypothesis of this work is that cell collectives are heterogeneous in nature; and that the influence of biochemical, physical, and mechanical factors combined leads to diverse physical behaviors. The central goal of this work is to establish standard tools for the understanding of 3D collective cell motility by treating individual cell-collectives as independent entities. An experimental model studies cell collectives by tracking individual cells within cell cohorts embedded in three dimensional collagen scaffolding. A computational model of 3-dimensional multi-scale self-propelled particles recreates experimental data and accounts for intercellular adhesion dynamics. A custom algorithm identifies cellular cohorts from experimental and simulated data so these may be treated as independent entities. A second custom algorithm quantifies the temporal and spatial heterogeneity of motion in cell cohorts during ‘motility events’ observed in experiments and simulations. The results show that cell-cohorts in 3D are dynamic with spatial and temporal heterogeneity; cohesive motility events can emerge without an external driving agent. Simulated cohorts are able to recreate experimental motility event signatures. Together these model systems and analytical techniques are some of the first to address collective motility of adhesive cellular cohorts in 3-dimensions

Correlating confocal microscopy and atomic force indentation reveals metastatic cancer cells stiffen during invasion into collagen I matrices

abstract: Mechanical interactions between cells and their microenvironment dictate cell phenotype and behavior, calling for cell mechanics measurements in three-dimensional (3D) extracellular matrices (ECM). Here we describe a novel technique for quantitative mechanical characterization of soft, heterogeneous samples in 3D. The technique is based on the integration of atomic force microscopy (AFM) based deep indentation, confocal fluorescence microscopy, finite element (FE) simulations and analytical modeling. With this method, the force response of a cell embedded in 3D ECM can be decoupled from that of its surroundings, enabling quantitative determination of the elastic properties of both the cell and the matrix. We applied the technique to the quantification of the elastic properties of metastatic breast adenocarcinoma cells invading into collagen hydrogels. We found that actively invading and fully embedded cells are significantly stiffer than cells remaining on top of the collagen, a clear example of phenotypical change in response to the 3D environment. Treatment with Rho-associated protein kinase (ROCK) inhibitor significantly reduces this stiffening, indicating that actomyosin contractility plays a major role in the initial steps of metastatic invasion.The final version of this article, as published in Scientific Reports, can be viewed online at: https://www.nature.com/articles/srep1968

Characterizing biological systems: quantitative methods for synthetic genetic circuits in plants and intracellular mechanics

2018 Summer.Includes bibliographical references.To view the abstract, please see the full text of the document