Brandy Weidow

A novel circular invasion assay mimics in vivo invasive behavior of cancer cell lines and distinguishes single-cell motility in vitro

BackgroundClassical in vitro wound-healing assays and other techniques designed to study cell migration and invasion have been used for many years to elucidate the various mechanisms associated with metastasis. However, many of these methods are limited in their ability to achieve reproducible, quantitative results that translate well in vivo. Such techniques are also commonly unable to elucidate single-cell motility mechanisms, an important factor to be considered when studying dissemination. Therefore, we developed and applied a novel in vitro circular invasion assay (CIA) in order to bridge the translational gap between in vitro and in vivo findings, and to distinguish between different modes of invasion.MethodOur method is a modified version of a standard circular wound-healing assay with an added matrix barrier component (Matrigel™), which better mimics those physiological conditions present in vivo. We examined 3 cancer cell lines (MCF-7, SCOV-3, and MDA-MB-231), each with a different established degree of aggressiveness, to test our assays ability to detect diverse levels of invasiveness. Percent wound closure (or invasion) was measured using time-lapse microscopy and advanced image analysis techniques. We also applied the CIA technique to DLD-1 cells in the presence of lysophosphatidic acid (LPA), a bioactive lipid that was recently shown to stimulate cancer cell colony dispersal into single migratory cells, in order to validate our methods ability to detect collective and individual motility.ResultsCIA method was found to be highly reproducible, with negligible levels of variance measured. It successfully detected the anticipated low, moderate, and high levels of invasion that correspond to in vivo findings for cell lines tested. It also captured that DLD-1 cells exhibit individual migration upon LPA stimulation, and collective behavior in its absence.ConclusionGiven its ability to both determine pseudo-realistic invasive cell behavior in vitro and capture subtle differences in cell motility, we propose that our CIA method may shed some light on the cellular mechanisms underlying cancer invasion and deserves inclusion in further studies. The broad implication of this work is the development of a reproducible, quantifiable, high-resolution method that can be applied to various models, to include an unlimited number of parameters and/or agents that may influence invasion.

Microenvironmental Independence Associated with Tumor Progression

Tumor-microenvironment interactions are increasingly recognized to influence tumor progression. To understand the competitive dynamics of tumor cells in diverse microenvironments, we experimentally parameterized a hybrid discrete-continuum mathematical model with phenotypic trait data from a set of related mammary cell lines with normal, transformed, or tumorigenic properties. Surprisingly, in a resource-rich microenvironment, with few limitations on proliferation or migration, transformed (but not tumorigenic) cells were most successful and outcompeted other cell types in heterogeneous tumor simulations. Conversely, constrained microenvironments with limitations on space and/or growth factors gave a selective advantage to phenotypes derived from tumorigenic cell lines. Analysis of the relative performance of each phenotype in constrained versus unconstrained microenvironments revealed that, although all cell types grew more slowly in resource-constrained microenvironments, the most aggressive cells were least affected by microenvironmental constraints. A game theory model testing the relationship between microenvironment resource availability and competitive cellular dynamics supports the concept that microenvironmental independence is an advantageous cellular trait in resource-limited microenvironments.

Hepsin cooperates with MYC in the progression of adenocarcinoma in a prostate cancer mouse model.

Hepsin is a cell surface protease that is over‐expressed in more than 90% of human prostate cancer cases. The previously developed Probasin‐hepsin/Large Probasin‐T antigen (PB‐hepsin/LPB‐Tag) bigenic mouse model of prostate cancer demonstrates that hepsin promotes primary tumors that are a mixture of adenocarcinoma and neuroendocrine (NE) lesions, and metastases that are NE in nature. However, since the majority of human prostate tumors are adenocarcinomas, the contribution of hepsin in the progression of adenocarcinoma requires further investigation.

Laminin-332–β1 integrin interactions negatively regulate invadopodia

Adhesion of epithelial cells to basement membranes (BM) occurs through two major structures: actin‐associated focal contacts and keratin‐associated hemidesmosomes, both of which form on laminin‐332 (Ln‐332). In epithelial‐derived cancer cells, additional actin‐linked structures with putative adhesive properties, invadopodia, are frequently present and mediate BM degradation. A recent study proposed that BM invasion requires a proper combination of focal contacts and invadopodia for invading cells to gain traction through degraded BM, and suggested that these structures may compete for common molecular components such as Src kinase. In this study, we tested the role of the Ln‐332 in regulating invadopodia in 804G rat bladder carcinoma cells, a cell line that secretes Ln‐332 and forms all three types of adhesions. Expression of shRNA to Ln‐332 γ2 chain (γ2‐kd) led to increased numbers of invadopodia and enhanced extracellular matrix degradation. Replating γ2‐kd cells on Ln‐332 or collagen‐I fully recovered cell spreading and inhibition of invadopodia. Inhibition of α3 or β1, but not α6 or β4, phenocopied the effect of γ2‐kd, suggesting that α3β1‐mediated focal contacts, rather than α6β4‐mediated hemidesmosome pathways, intersect with invadopodia regulation. γ2‐kd cells exhibited alterations in focal contact‐type structures and in activation of focal adhesion kinase (FAK) and Src kinase. Inhibition of FAK also increased invadopodia number, which was reversible with Src inhibition. These data are consistent with a model whereby actin‐based adhesions can limit the availability of active Src that is capable of invadopodia initiation and identifies Ln‐332‐β1 interactions as a potent upstream regulator that limits cell invasion. J. Cell. Physiol. 223: 134–142, 2010.

Development of High-Throughput Quantitative Assays for Glucose Uptake in Cancer Cell Lines

PurposeMetabolism, and especially glucose uptake, is a key quantitative cell trait that is closely linked to cancer initiation and progression. Therefore, developing high-throughput assays for measuring glucose uptake in cancer cells would be enviable for simultaneous comparisons of multiple cell lines and microenvironmental conditions. This study was designed with two specific aims in mind: the first was to develop and validate a high-throughput screening method for quantitative assessment of glucose uptake in “normal” and tumor cells using the fluorescent 2-deoxyglucose analog 2-[N-(7-nitrobenz-2-oxa-1,3-diazol-4-yl)amino]-2-deoxyglucose (2-NBDG), and the second was to develop an image-based, quantitative, single-cell assay for measuring glucose uptake using the same probe to dissect the full spectrum of metabolic variability within populations of tumor cells in vitro in higher resolution.ProcedureThe kinetics of population-based glucose uptake was evaluated for MCF10A mammary epithelial and CA1d breast cancer cell lines, using 2-NBDG and a fluorometric microplate reader. Glucose uptake for the same cell lines was also examined at the single-cell level using high-content automated microscopy coupled with semi-automated cell-cytometric image analysis approaches. Statistical treatments were also implemented to analyze intra-population variability.ResultsOur results demonstrate that the high-throughput fluorometric assay using 2-NBDG is a reliable method to assess population-level kinetics of glucose uptake in cell lines in vitro. Similarly, single-cell image-based assays and analyses of 2-NBDG fluorescence proved an effective and accurate means for assessing glucose uptake, which revealed that breast tumor cell lines display intra-population variability that is modulated by growth conditions.ConclusionsThese studies indicate that 2-NBDG can be used to aid in the high-throughput analysis of the influence of chemotherapeutics on glucose uptake in cancer cells.

Laminin-332 Cleavage by Matriptase Alters Motility Parameters of Prostate Cancer Cells

Matriptase, a type II transmembrane serine protease, has been linked to initiation and promotion of epidermal carcinogenesis in a murine model, suggesting that deregulation of its role in epithelia contributes to transformation. In human prostate cancer, matriptase expression correlates with progression. It is therefore of interest to determine how matriptase may contribute to epithelial neoplastic progression. One approach for studying this is to identify potential matriptase substrates involved in epithelial integrity and/or transformation like the extracellular matrix macromolecule, laminin‐332 (Ln‐332), which is found in the basement membrane of many epithelia, including prostate. Proteolytic processing of Ln‐332 regulates cell motility of both normal and transformed cells, which has implications in cancer progression.

Nest expansion assay: a cancer systems biology approach to in vitro invasion measurements

BackgroundTraditional in vitro cell invasion assays focus on measuring one cell parameter at a time and are often less than ideal in terms of reproducibility and quantification. Further, many techniques are not suitable for quantifying the advancing margin of collectively migrating cells, arguably the most important area of activity during tumor invasion. We have developed and applied a highly quantitative, standardized, reproducible Nest Expansion Assay (NEA) to measure cancer cell invasion in vitro, which builds upon established wound-healing techniques. This assay involves creating uniform circular nests of cells within a monolayer of cells using a stabilized, silicone-tipped drill press, and quantifying the margin expansion into an overlaid extracellular matrix (ECM)-like component using computer-assisted applications.FindingsThe NEA was applied to two human-derived breast cell lines, MCF10A and MCF10A-CA1d, which exhibit opposite degrees of tumorigenicity and invasion in vivo. Assays were performed to incorporate various microenvironmental conditions, in order to test their influence on cell behavior and measures. Two types of computer-driven image analysis were performed using Javas freely available ImageJ software and its FracLac plugin to capture nest expansion and fractal dimension, respectively – which are both taken as indicators of invasiveness. Both analyses confirmed that the NEA is highly reproducible, and that the ECM component is key in defining invasive cell behavior. Interestingly, both analyses also detected significant differences between non-invasive and invasive cell lines, across various microenvironments, and over time.ConclusionThe spatial nature of the NEA makes its outcome susceptible to the global influence of many cellular parameters at once (e.g., motility, protease secretion, cell-cell adhesion). We propose the NEA as a mid-throughput technique for screening and simultaneous examination of factors contributing to cancer cell invasion, particularly suitable for parameterizing and validating Cancer Systems Biology approaches such as mathematical modeling.

Trait Variability of Cancer Cells Quantified by High-Content Automated Microscopy of Single Cells

Mapping quantitative cell traits (QCT) to underlying molecular defects is a central challenge in cancer research because heterogeneity at all biological scales, from genes to cells to populations, is recognized as the main driver of cancer progression and treatment resistance. A major roadblock to a multiscale framework linking cell to signaling to genetic cancer heterogeneity is the dearth of large-scale, single-cell data on QCT-such as proliferation, death sensitivity, motility, metabolism, and other hallmarks of cancer. High-volume single-cell data can be used to represent cell-to-cell genetic and nongenetic QCT variability in cancer cell populations as averages, distributions, and statistical subpopulations. By matching the abundance of available data on cancer genetic and molecular variability, QCT data should enable quantitative mapping of phenotype to genotype in cancer. This challenge is being met by high-content automated microscopy (HCAM), based on the convergence of several technologies including computerized microscopy, image processing, computation, and heterogeneity science. In this chapter, we describe an HCAM workflow that can be set up in a medium size interdisciplinary laboratory, and its application to produce high-throughput QCT data for cancer cell motility and proliferation. This type of data is ideally suited to populate cell-scale computational and mathematical models of cancer progression for quantitatively and predictively evaluating cancer drug discovery and treatment.

A Decreased Ratio of Laminin-332 β3 to γ2 Subunit mRNA is Associated with Poor Prognosis in Colon Cancer

Laminin-332 (Ln-332) is a heterotrimeric glycoprotein (α3β3γ2) unique to epithelial cells with crucial roles in signaling, adhesion, and migration. Altered localization or expression levels of Ln-332, particularly its γ2 subunit, are of prognostic value in a variety of cancers. However, the lack of standardized methodology and the limited quantification of previous study results have left unanswered questions, including the role of γ2 transcript variants and whether differential expression of this chain represents dysregulation of the whole heterotrimer. Herein, we test the hypothesis that mRNA changes in one or more Ln-332 encoding genes can be used to distinguish between early- and advanced-stage cancer specimens and shed light on mechanistic questions raised by previous studies. Statistical analyses of human microarray data from the publicly available expression project in Oncology (expO) dataset, including examination of the distributions of Ln-332 subunit mRNA levels, identified a significant decrease in the Ln-332 β3:γ2 mRNA ratio between normal (n = 10) and early-stage colon cancer (n = 29) specimens. The β3:γ2 ratio was further decreased in metastatic colon cancer (n = 41) compared with early-stage samples. Our findings raise the possibility that Ln-332 γ2 may be a therapeutic target against metastatic colon cancer because a lowered β3:γ2 ratio would reduce expression of heterotrimeric Ln-332 and increase monomeric γ2 secretion. Further, standardized, quantitative methods for patient prognosis and therapeutic choice could be developed based upon the Ln-332 mRNA changes we uncovered. (Cancer Epidemiol Biomarkers Prev 2009;18(5):1584–90)

Epitope mapping of function-blocking monoclonal antibody CM6 suggests a "weak" integrin binding site on the Laminin-332 LG2 domain

Laminin‐332 (Ln‐332) is an extracellular matrix molecule that regulates cell adhesion, spreading, and migration by interaction with cell surface receptors such as α3β1 and α6β4. Previously, we developed a function‐blocking monoclonal antibody against rat Ln‐332, CM6, which blocks hemidesmosome assembly induced by Ln‐332‐α6β4 interactions. However, the location of its epitope on Ln‐332 has remained unclear. In this study, we show that the CM6 epitope is located on the laminin G‐like (LG)2 module of the Ln‐332 α3 chain. To specify the residues involved in this epitope, we produced a series of GST‐fused α3 LG2 mutant proteins in which rat‐specific acids were replaced with human acids by a site‐directed mutagenesis strategy. CM6 reactivity against these proteins showed that CM6 binds to the 1089NERSVR1094 sequence of rat Ln‐332 LG2 module. In a structural model, this sequence maps to an LG2 loop sequence that is exposed to solvent according to predictions, consistent with its accessibility to antibody. CM6 inhibits integrin‐dependent cell adhesion on Ln‐332 and inhibits cell spreading on both Ln‐332 and recombinant LG2 (rLG2; but not rLG3), suggesting the presence of an α3β1 binding site on LG2. However, we were unable to show that rLG2 supports adhesion in standard assays, suggesting that LG2 may contain a “weak” integrin binding site, only detectable in spreading assays that do not require washes. These results, together with our previous findings, indicate that binding sites for α3β1 and α6β4 are closely spaced in the Ln‐332 LG domains where they regulate alternative cell functions, namely adhesion/migration or hemidesmosome anchoring. J. Cell. Physiol. 223:541–548, 2010.