Cell Motility Dynamics: A Novel Segmentation Algorithm to Quantify Multi-Cellular Bright Field Microscopy Images

Confocal microscopy analysis of fluorescence and morphology is becoming the standard tool in cell biology and molecular imaging. Accurate quantification algorithms are required to enhance the understanding of different biological phenomena. We present a novel approach based on image-segmentation of multi-cellular regions in bright field images demonstrating enhanced quantitative analyses and better understanding of cell motility. We present MultiCellSeg, a segmentation algorithm to separate between multi-cellular and background regions for bright field images, which is based on classification of local patches within an image: a cascade of Support Vector Machines (SVMs) is applied using basic image features. Post processing includes additional classification and graph-cut segmentation to reclassify erroneous regions and refine the segmentation. This approach leads to a parameter-free and robust algorithm. Comparison to an alternative algorithm on wound healing assay images demonstrates its superiority. The proposed approach was used to evaluate common cell migration models such as wound healing and scatter assay. It was applied to quantify the acceleration effect of Hepatocyte growth factor/scatter factor (HGF/SF) on healing rate in a time lapse confocal microscopy wound healing assay and demonstrated that the healing rate is linear in both treated and untreated cells, and that HGF/SF accelerates the healing rate by approximately two-fold. A novel fully automated, accurate, zero-parameters method to classify and score scatter-assay images was developed and demonstrated that multi-cellular texture is an excellent descriptor to measure HGF/SF-induced cell scattering. We show that exploitation of textural information from differential interference contrast (DIC) images on the multi-cellular level can prove beneficial for the analyses of wound healing and scatter assays. The proposed approach is generic and can be used alone or alongside traditional fluorescence single-cell processing to perform objective, accurate quantitative analyses for various biological applications

Live time-lapse dataset ofﾠin vitroﾠwound healing experiments

Background: The wound healing assay is the common method to study collective cell migration in vitro. Computational analyses of live imaging exploit the rich temporal information and significantly improve understanding of complex phenomena that emerge during this mode of collective motility. Publicly available experimental data can allow application of new analyses to promote new discoveries, and assess algorithms’ capabilities to distinguish between different experimental conditions. Findings: A freely-available dataset of 31 time-lapse in vitro wound healing experiments of two cell lines is presented. It consists of six different experimental conditions with 4–6 replicates each, gathered to study the effects of a growth factor on collective cell migration. The raw data is available at ‘The Cell: an Image Library’ repository. This Data Note provides detailed description of the data, intermediately processed data, scripts and experimental validations that have not been reported before and are currently available at GigaDB. This is the first publicly available repository of live collective cell migration data that includes independent replicates for each set of conditions. Conclusions: This dataset has the potential for extensive reuse. Some aspects in the data remain unexplored and can be exploited extensively to reveal new insight. The dataset could also be used to assess the performance of available and new quantification methods by demonstrating phenotypic discriminatory capabilities between the different experimental conditions. It may allow faster and more elaborated, reproducible and effective analyses, which will likely lead to new biological and biophysical discoveries

Interplay between HGF/SF-Met-Ras signaling, tumor metabolism and blood flow as a potential target for breast cancer therapy

ABSTRACT: High glucose uptake and increase blood flow is a characteristic of most metastatic tumors. Activation of Ras signaling increases glycolytic flux into lactate, de novo nucleic acid synthesis and uncoupling of ATP synthase from the proton gradient. Met tyrosine kinase receptor signaling upon activation by its ligand, hepatocyte growth factor/scatter factor (HGF/SF), increases glycolysis, oxidative phosporylation, oxygen consumption, and tumor blood volume. Ras is a key factor in Met signaling. Using the Ras inhibitor S-trans,trans-farnesylthiosalicylic acid (FTS), we investigated interplay between HGF/SF-Met-Ras signaling, metabolism, and tumor blood-flow regulation. In vitro, HGF/SF-activated Met increased Ras activity, Erk phosphorylation, cell motility and glucose uptake, but did not affect ATP. FTS inhibited basal and HGF/ SF-induced signaling and cell motility, while further increasing glucose uptake and inhibiting ATP production. In vivo, HGF/SF rapidly increased tumor blood volume. FTS did not affect basal blood-flow but abolished the HGF/SF effect. Our results further demonstrate the complex interplay between growth-factorreceptor signaling and cellular and tumor metabolism, as reflected in blood flow. Inhibition of Ras signaling does not affect glucose consumption or basal tumor blood flow but dramatically decreases ATP synthesis and the HGF/SF induced increase in tumor blood volume. These findings demonstrate that the HGF/SF-Met-Ras pathway critically influences tumor-cell metabolism and tumor blood-flow regulation. This pathway could potentially be used to individualize tumor therapy based on functional molecular imaging, and for combined signaling/anti-metabolic targeted therapy

Met-HGF/SF Signal Transduction Induces Mimp, a Novel Mitochondrial Carrier Homologue, Which Leads to Mitochondrial Depolarization

Met-hepatocyte growth factor/scatter factor (HGF/SF) signaling plays an important role in epithelial tissue morphogenesis, lumen formation, and tumorigenicity. We have recently demonstrated that HGF/SF also alters the metabolic activity of cells by enhancing both the glycolytic and oxidative phosphorylation pathways of energy production. Using differential display polymerase chain reaction, we cloned a novel gene, designated mimp (Met-Induced Mitochondrial Protein), which is upregulated in NIH-3T3 cells cotransfected with both HGF/SF and Met (HMH cells). Northern and Western blot analyses showed that mimp is induced in several Metexpressing cell lines following treatment with HGF/SF. Mimp encodes a 33-kDa protein that shows sequence homology to the family of mitochondrial carrier proteins (MCPs). Murine Mimp (mMimp) is expressed in a wide variety of tissues, exhibiting an expression pattern similar to Met. Predominant expression is seen in liver, kidney, heart, skeletal muscle, and testis. Using immunostaining for HA-tagged mMimp and a GFP-mMimp chimeric protein as well as subcellular fractionation, we determined that Mimp is primarily localized to the mitochondria. Ectopic expression of mMimp in the Met-responsive adenocarcinoma cell line, DA3, reduced the mitochondrial membrane potential (uncoupling activity). The extent of the mitochondrial depolarization positively correlated with the level of Mimp expression. Our results demonstrate that Mimp is a novel mitochondrial carrier homologue upregulated by Met-HGF/SF signal transduction, which leads to mitochondrial depolarization, and suggest novel links among tyrosine kinase signaling, mitochondrial function, and cellular bioenergetics

Mimp/Mtch2, an Obesity Susceptibility Gene, Induces Alteration of Fatty Acid Metabolism in Transgenic Mice.

Metabolic dysfunctions, such as fatty liver, obesity and insulin resistance, are among the most common contemporary diseases worldwide, and their prevalence is continuously rising. Mimp/Mtch2 is a mitochondrial carrier protein homologue, which localizes to the mitochondria and induces mitochondrial depolarization. Mimp/Mtch2 single-nucleotide polymorphism is associated with obesity in humans and its loss in mice muscle protects from obesity. Our aim was to study the effects of Mimp/Mtch2 overexpression in vivo.Transgenic mice overexpressing Mimp/Mtch2-GFP were characterized and monitored for lipid accumulation, weight and blood glucose levels. Transgenic mice liver and kidneys were used for gene expression analysis.Mimp/Mtch2-GFP transgenic mice express high levels of fatty acid synthase and of β-oxidation genes and develop fatty livers and kidneys. Moreover, high-fat diet-fed Mimp/Mtch2 mice exhibit high blood glucose levels. Our results also show that Mimp/Mtch2 is involved in lipid accumulation and uptake in cells and perhaps in human obesity.Mimp/Mtch2 alters lipid metabolism and may play a role in the onset of obesity and development of insulin resistance

HGF/SF Increases Tumor Blood Volume: A Novel Tool for the In Vivo Functional Molecular Imaging of Met

Molecular functional and metabolic imaging allows visualization of disease-causing processes in living organisms. Here we present a new approach for the functional molecular imaging (FMI) of endogenous tyrosine kinase receptor activity using Met and its ligand, hepatocyte growth factor/scatter factor (HGF/SF), as a model. HGF/SF and Met play significant roles in the biology and pathogenesis of a wide variety of cancers and, therefore, may serve as potential targets for cancer prognosis and therapy. We have previously shown that Met activation by HGF/SF increases oxygen consumption in vitro and results in substantial alteration of blood oxygenation levels in vivo, as measured by blood oxygenation level-dependent magnetic resonance imaging. Using contrast medium (CM) ultrasound imaging, we demonstrate here that HGF/SF induces an increase in tumor blood volume. This increase is evident in small vessels, including vessels that were not detected before HGF/SF treatment. The specificity of the effect was validated by its inhibition using anti-HGF/SF antibodies. This change in tumor hemodynamics, induced by HGF/SF and measured by CM ultrasound, is further used as a tool for Met FMI in tumors. This novel noninvasive molecular imaging technique may be applied for the in vivo diagnosis, prognosis, and therapy of Met-expressing tumors