Invasion of the extracellular matrix is a critical step in the colonization of metastatic tumors. The invasion process is thought to be driven by both chemokine signaling and interactions between ...invading cancer cells and physical components of the metastatic niche, including endothelial cells that line capillary walls and serve as a barrier to both diffusion and invasion of the underlying tissue. Transwell chambers, a tool for generating artificial chemokine gradients to induce cell migration, have facilitated recent work to investigate the chemokine contributions to matrix invasion. These chambers, however, are poorly designed for imaging, which limits their use in investigating the physical cell-cell and cell-matrix interactions driving matrix invasion. Microfluidic devices offer a promising model in which the invasion process can be imaged. Many current designs, however, have limited surface areas and possess intricate geometries that preclude the use of standard staining protocols to visualize cells and matrix proteins. In this work, we present a novel microfluidic platform for imaging cell-cell and cell-matrix interactions driving metastatic cancer cell matrix invasion. Our model is applied to investigate how endothelial cell-secreted matrix proteins and the physical endothelial monolayer itself interact with invading metastatic breast cancer cells to facilitate invasion of an underlying type I collagen gel. The results show that matrix invasion of metastatic breast cancer cells is significantly enhanced in the presence of live endothelial cells. Probing this interaction further, our platform revealed that, while the fibronectin-rich matrix deposited by endothelial cells was not sufficient to drive invasion alone, metastatic breast cancer cells were able to exploit components of energetically inactivated endothelial cells to gain entry into the underlying matrix. These findings reveal novel cell-cell interactions driving a key step in the colonization of metastatic tumors and have important implications for designing drugs targeted at preventing cancer metastasis.
From the beginning, induced pluripotent stem cell (iPSC) technology was touted as a path to improve our understanding of disease biology and enable drug discovery. Advances in iPSC culture, genome ...engineering, and differentiation protocols have rapidly expanded the use of iPSC-derived disease models from the specialized work of stem cell biology into the mainstream toolkit of cellular neuroscience. Here we provide guidance for using iPSC-derived neurons for disease modeling with a focus on enabling screening platforms amenable to therapeutic drug discovery. We also highlight the potential for incorporating three-dimensional systems that may create more translational in vitro models.
Stem cell biology has become part of the mainstream toolkit of cellular neuroscience. Engle et al. provide guidance on best practices for using iPSC-derived neurons for disease modeling with a focus on enabling screening platforms amenable to therapeutic drug discovery.
How metastatic cancer lesions survive and grow in secondary locations is not fully understood. There is a growing appreciation for the importance of tumor components, i.e. microenvironmental cells, ...in this process. Here, we used a simple microfabricated dual cell culture platform with a 500 μm gap to assess interactions between two different metastatic melanoma cell lines (1205Lu isolated from a lung lesion established through a mouse xenograft; and WM852 derived from a stage III metastatic lesion of skin) and microenvironmental cells derived from either skin (fibroblasts), lung (epithelial cells) or liver (hepatocytes). We observed differential bi-directional migration between microenvironmental cells and melanoma, depending on the melanoma cell line. Lung epithelial cells and skin fibroblasts, but not hepatocytes, stimulated higher 1205Lu migration than without microenvironmental cells; in the opposite direction, 1205Lu cells induced hepatocytes to migrate, but had no effect on skin fibroblasts and slightly inhibited lung epithelial cells. In contrast, none of the microenvironments had a significant effect on WM852; in this case, skin fibroblasts and hepatocytes--but not lung epithelial cells--exhibited directed migration toward WM852. These observations reveal significant effects a given microenvironmental cell line has on the two different melanoma lines, as well as how melanoma effects different microenvironmental cell lines. Our simple platform thus has potential to provide complex insights into different strategies used by cancerous cells to survive in and colonize metastatic sites.
Inefficient knock-in of transgene cargos limits the potential of cell-based medicines. In this study, we used a CRISPR nuclease that targets a site within an exon of an essential gene and designed a ...cargo template so that correct knock-in would retain essential gene function while also integrating the transgene(s) of interest. Cells with non-productive insertions and deletions would undergo negative selection. This technology, called SLEEK (SeLection by Essential-gene Exon Knock-in), achieved knock-in efficiencies of more than 90% in clinically relevant cell types without impacting long-term viability or expansion. SLEEK knock-in rates in T cells are more efficient than state-of-the-art TRAC knock-in with AAV6 and surpass more than 90% efficiency even with non-viral DNA cargos. As a clinical application, natural killer cells generated from induced pluripotent stem cells containing SLEEK knock-in of CD16 and mbIL-15 show substantially improved tumor killing and persistence in vivo.
A diagnosis of metastatic cancer reduces a patient's 5-year survival rate by nearly 80% compared to a primary tumor diagnosed at an early stage. While gene expression arrays have revealed unique gene ...signatures for metastatic cancer cells, we are lacking an understanding of the tangible physical changes that distinguish metastatic tumor cells from each other and from their related primary tumors. At the fundamental level, this translates into first characterizing the phenotype of metastatic cancer cells in vitro both in 2D – looking at morphology and migration – and in 3D – focusing on matrix invasion. While 2D in vitro studies have provided insight into the effects of specific environmental conditions on specific cancer cell lines, the unique details included in each experimental design make it challenging to compare cell phenotype across different in vitro platforms as well as between laboratories and disciplines that share the goal of understanding cancer. While 3D phenotype studies have employed more standardized and ubiquitous assays, most available tools lack the imaging capability and geometry to effectively characterize all factors driving 3D matrix invasion. In this work, we present protocols and platforms aimed at addressing the problems identified in the tools currently available for studying metastatic cancer in vitro. First, we present a 2D study of morphology and migration using widely accepted protocols. The study is applied to characterizing phenotypes of three breast cancer cell lines with different metastatic organ tropisms. The results show that general populations of cells from each of the 3 lines are unique in shape and motility despite being derived from the same tumor line and that the observed phenotype differences may be related to differences in focal adhesion assembly. More broadly, these studies suggest that standardizing phenotype studies using commonly available techniques may provide a platform by which to compare phenotypic studies across cancer cell types and between research groups to investigate tropism-specific cancer phenotypes. We conclude our investigation of phenotype with a study of 3D matrix invasion using a novel microfluidic platform. The results show that invasion of metastatic breast cancer cells into a 3D type I collagen gel is significantly enhanced in the presence of live endothelial cells. In applying the model to study cell-cell and cell-matrix interactions driving invasion, our platform revealed that, while the fibronectin-rich matrix deposited by endothelial cells was not sufficient to drive invasion alone, metastatic breast cancer cells were able to exploit a structural or secreted component of energetically inactivated endothelial cell to gain entry into the underlying matrix. These findings have important implications for designing drugs targeted at preventing cancer metastasis. The findings in this dissertation reveal significant phenotypic differences in metastatic breast cancer cells with different preferences in metastatic target organ. In addition, the microfluidic platform reveals novel cell-cell interactions driving a key step in the seeding and colonization of a metastatic tumor. Collectively, these results reveal important characteristics of metastatic cancer cells and their interactions with other cell types during metastasis. These studies also provide platforms on which to target or prevent malignant phenotypes and cellular interactions in the future.
A diagnosis of metastatic cancer reduces a patient's 5-year survival rate by nearly 80% compared to a primary tumor diagnosed at an early stage. While gene expression arrays have revealed unique gene ...signatures for metastatic cancer cells, we are lacking an understanding of the tangible physical changes that distinguish metastatic tumor cells from each other and from their related primary tumors. At the fundamental level, this translates into first characterizing the phenotype of metastatic cancer cells in vitro both in 2D – looking at morphology and migration – and in 3D – focusing on matrix invasion. While 2D in vitro studies have provided insight into the effects of specific environmental conditions on specific cancer cell lines, the unique details included in each experimental design make it challenging to compare cell phenotype across different in vitro platforms as well as between laboratories and disciplines thatshare the goal of understanding cancer. While 3D phenotype studies have employed more standardized and ubiquitous assays, most available tools lack the imaging capability and geometry to effectively characterize all factors driving 3D matrix invasion.;
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In this work, we present protocols and platforms aimed at addressing the problems identified in the tools currently available for studying metastatic cancer in vitro. First, we present a 2D study of morphology and migration using widely accepted protocols. The study is applied to characterizing phenotypes of three breast cancer cell lines with different metastatic organ tropisms. The results show that general populations of cells from each of the 3 lines are unique in shape and motility despite being derived from the same tumor line and that the observed phenotype differences may be related to differences in focal adhesion assembly. More broadly, these studies suggest that standardizing phenotype studies using commonly available techniques may provide a platform by which to compare phenotypic studies across cancer cell types and between research groups to investigate tropism-specific cancer phenotypes. We conclude our investigation of phenotype with a study of 3D matrix invasion using a novel microfluidic platform. The results show that invasion of metastatic breast cancer cells into a 3D type I collagen gel is significantly enhanced in the presence of live endothelial cells. In applying the model to study cell-cell and cell-matrix interactions driving invasion, our platform revealed that, while the fibronectin-rich matrix deposited by endothelial cells was not sufficient to drive invasion alone, metastatic breast cancer cells were able to exploit a structural or secreted component of energetically inactivated endothelial cell to gain entry into the underlying matrix. These findings have important implications for designing drugs targeted at preventing cancer metastasis.;
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The findings in this dissertation reveal significant phenotypic differences in metastatic breast cancer cells with different preferences in metastatic target organ. In addition, the microfluidic platform reveals novel cell-cell interactions driving a key step in the seeding and colonization of a metastatic tumor. Collectively, these results reveal important characteristics of metastatic cancer cells and their interactions with other cell types during metastasis. These studies also provide platforms on which to target or prevent malignant phenotypes and cellular interactions in the future.
Whether cardiovascular (CV) disease risk factors and biomarkers associate differentially with heart failure (HF) risk in men and women is unclear.
The purpose of this study was to evaluate ...sex-specific associations of CV risk factors and biomarkers with incident HF.
The analysis was performed using data from 4 community-based cohorts with 12.5 years of follow-up. Participants (recruited between 1989 and 2002) were free of HF at baseline. Biomarker measurements included natriuretic peptides, cardiac troponins, plasminogen activator inhibitor-1, D-dimer, fibrinogen, C-reactive protein, sST2, galectin-3, cystatin-C, and urinary albumin-to-creatinine ratio.
Among 22,756 participants (mean age 60 ± 13 years, 53% women), HF occurred in 2,095 participants (47% women). Age, smoking, type 2 diabetes mellitus, hypertension, body mass index, atrial fibrillation, myocardial infarction, left ventricular hypertrophy, and left bundle branch block were strongly associated with HF in both sexes (p < 0.001), and the combined clinical model had good discrimination in men (C-statistic = 0.80) and in women (C-statistic = 0.83). The majority of biomarkers were strongly and similarly associated with HF in both sexes. The clinical model improved modestly after adding natriuretic peptides in men (ΔC-statistic = 0.006; likelihood ratio chi-square = 146; p < 0.001), and after adding cardiac troponins in women (ΔC-statistic = 0.003; likelihood ratio chi-square = 73; p < 0.001).
CV risk factors are strongly and similarly associated with incident HF in both sexes, highlighting the similar importance of risk factor control in reducing HF risk in the community. There are subtle sex-related differences in the predictive value of individual biomarkers, but the overall improvement in HF risk estimation when included in a clinical HF risk prediction model is limited in both sexes.
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Microfluidic double-emulsion droplets allow the realization and study of biphasic chemical processes such as chemical reactions or extractions on the nanoliter scale. Double emulsions of the rare ...type (o
1
/w/o
2
) are used here to realize a lipase-catalyzed reaction in the non-polar phase. The surrounding aqueous phase induces the transfer of the hydrophilic product from the core oil phase, allowing on-the-fly MS analysis in single double droplets. A microfluidic two-step emulsification process is developed to generate the (o
1
/w/o
2
) double-emulsion droplets. In this first example of microfluidic double-emulsion MS coupling, we show in proof-of-concept experiments that the chemical composition of the water layer can be read online using ESI–MS. Double-emulsion droplets were further employed as two-phase micro-reactors for the hydrolysis of the lipophilic ester
p-
nitrophenyl palmitate catalyzed by the
Candida antarctica
lipase
B
(CalB). Finally, the formation of the hydrophilic reaction product
p-
nitrophenol within the double-emulsion droplet micro-reactors is verified by subjecting the double-emulsion droplets to online ESI–MS analysis.
Graphical abstract
Both the carotid ultrasound and coronary artery calcium (CAC) score quantify subclinical atherosclerosis and are associated with cardiovascular disease and events. This study investigated the ...association between CAC score and carotid plaque quantity and composition. Adult participants (n = 43) without history of cardiovascular disease were recruited to undergo a carotid ultrasound. Maximum plaque height (MPH), total plaque area (TPA), carotid intima-media thickness (CIMT), and plaque score were measured. Grayscale pixel distribution analysis of ultrasound images determined plaque tissue composition. Participants then underwent CT to determine CAC score, which were also categorized as absent (0), mild (1-99), moderate (100-399), and severe (400+). Spearman correlation coefficients between carotid variables and CAC scores were computed. The mean age of participants was 63 ± 11 years. CIMT, TPA, MPH, and plaque score were significantly associated with CAC score (ρ = 0.60, p < 0.0001; ρ = 0.54, p = 0.0002; ρ = 0.38, p = 0.01; and ρ = 0.49, p = 0.001). Echogenic composition features %Calcium and %Fibrous tissue were not correlated to a clinically relevant extent. There was a significant difference in the TPA, MPH, and plaque scores of those with a severe CAC score category compared to lesser categories. While carotid plaque burden was associated with CAC score, plaque composition was not. Though CAC score reliably measures calcification, carotid ultrasound gives information on both plaque burden and composition. Carotid ultrasound with assessment of plaque features used in conjunction with traditional risk factors may be an alternative or additive to CAC scoring and could improve the prediction of cardiovascular events in the intermediate risk population.
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