Murine Lewis Lung Carcinoma-Derived Endothelium Expresses Markers of Endothelial Activation and Requires Tumor-Specific Extracellular Matrix In Vitro

AbstractThe purpose of the study was to identify characteristics specific to tumor-derived endothelium that may be important in tumor biology, or for the development of targeted therapeutics or imaging agents. Normal C57BI/6 murine heart or lung endothelium, or C57BI/6 murine Lewis lung carcinoma tumor-derived endothelium was isolated from excised tissues using specific antibodies. The endothelium was cultured using either native fibronectin, or the oncofetal form of fibronectin. Cell surface adhesion molecule expression was analyzed by flow cytometry, and the cellular distribution of specific molecules was examined using indirect immunofluorescence staining. Oncofetal fibronectin was critical for maintaining the phenotype of tumor-derived endothelium, which demonstrated an elongated morphology in vitro, with few cell-cell contacts. They expressed high levels of CD31, CD102, and vascular endothelial cadherin, and constitutively expressed CD62E, CD54, and CD106, indicating an “activated” phenotype. Moreover, they expressed significantly greater levels of Sca-1 and Flk-1 than normal murine endothelium. Cellular distribution of CD31, β-catenin, and CD106 in tumor-derived endothelium was not continuous at cell borders, as observed in cultures of murine heart endothelium. In conclusion, Lewis lung carcinoma-derived tumor endothelium exhibits a specific phenotype in vitro, distinct from normal endothelium, and could be used as an in vitro tool for developing targeted agents

Emerging cardiovascular molecular imaging approaches.

New molecular imaging technologies, in particular optical ones, are increasingly used to understand the complexity and heterogeneity of cardiovascular diseases. While ‘omic’ approaches can provide us with comprehensive ‘snapshots’ of biomarkers, imaging studies can be used to understand the spatiotemporal activity of these markers in vivo. Imaging has also advanced clinically, and will ultimately allow us to determine disease activity and therapy response. In addition, newer developments will likely have an impact on our understanding of biology at the systems level, promote earlier clinical diagnosis and accelerate drug development

Upconverting Organic Dye Doped Core-Shell Nano-Composites for Dual-Modality NIR Imaging and Photo-Thermal Therapy

Nanotechnology approaches offer the potential for creating new optical imaging agents with unique properties that enable uses such as combined molecular imaging and photo-thermal therapy. Ideal preparations should fluoresce in the near-infrared (NIR) region to ensure maximal tissue penetration depth along with minimal scattering and light absorption. Due to their unique photophysical properties, upconverting ceramics such as NaYF4:Er3+,Yb3+ nanoparticles have become promising optical materials for biological imaging. In this work, the design and synthesis of NaYF4:Er3+,Yb3+@SiO2 core-shell nano-composites, which contain highly absorbing NIR carbocyanine dyes in their outer silica shell, are described. These materials combine optical emission (from the upconverting core nanoparticle) with strong NIR absorption (from the carbocyanine dyes incorporated into the shell) to enable both optical imaging and photo-thermal treatment, respectively. Ultimately, this hybrid composite nanomaterial approach imparts the ability to both visualize, via upconversion imaging, and treat, via photo-thermal heating, using two distinct optical channels. Proof-of-principle in vitro experiments are presented to demonstrate the combined imaging and photo-thermal properties of this new functional nano-composite

Bioorthogonal Small Molecule Imaging Agents Allow Single-Cell Imaging of MET

The hepatocyte growth factor receptor (MET) is a receptor tyrosine kinase (RTK) that has emerged as an important cancer target. Consequently, a number of different inhibitors varying in specificity are currently in clinical development. However, to date, it has been difficult to visualize MET expression, intracellular drug distribution and small molecule MET inhibition. Using a bioorthogonal approach, we have developed two companion imaging drugs based on both mono- and polypharmacological MET inhibitors. We show exquisite drug and target co-localization that can be visualized at single-cell resolution. The developed agents may be useful chemical biology tools to investigate single-cell pharmacokinetics and pharmacodynamics of MET inhibitors

Automated motion artifact removal for intravital microscopy, without a priori information

Intravital fluorescence microscopy, through extended penetration depth and imaging resolution, provides the ability to image at cellular and subcellular resolution in live animals, presenting an opportunity for new insights into in vivo biology. Unfortunately, physiological induced motion components due to respiration and cardiac activity are major sources of image artifacts and impose severe limitations on the effective imaging resolution that can be ultimately achieved in vivo. Here we present a novel imaging methodology capable of automatically removing motion artifacts during intravital microscopy imaging of organs and orthotopic tumors. The method is universally applicable to different laser scanning modalities including confocal and multiphoton microscopy, and offers artifact free reconstructions independent of the physiological motion source and imaged organ. The methodology, which is based on raw data acquisition followed by image processing, is here demonstrated for both cardiac and respiratory motion compensation in mice heart, kidney, liver, pancreas and dorsal window chamber

Single Cell Analysis of Drug Distribution by Intravital Imaging

Recent advances in the field of intravital imaging have for the first time allowed us to conduct pharmacokinetic and pharmacodynamic studies at the single cell level in live animal models. Due to these advances, there is now a critical need for automated analysis of pharmacokinetic data. To address this, we began by surveying common thresholding methods to determine which would be most appropriate for identifying fluorescently labeled drugs in intravital imaging. We then developed a segmentation algorithm that allows semi-automated analysis of pharmacokinetic data at the single cell level. Ultimately, we were able to show that drug concentrations can indeed be extracted from serial intravital imaging in an automated fashion. We believe that the application of this algorithm will be of value to the analysis of intravital microscopy imaging particularly when imaging drug action at the single cell level

PepBank - A Database of Peptides Based on Sequence Text Mining and Public Peptide Data Sources

Background: Peptides are important molecules with diverse biological functions and biomedical uses. To date, there does not exist a single, searchable archive for peptide sequences or associated biological data. Rather, peptide sequences still have to be mined from abstracts and full-length articles, and/or obtained from the fragmented public sources. Description: We have constructed a new database (PepBank), which at the time of writing contains a total of 19,792 individual peptide entries. The database has a web-based user interface with a simple, Google-like search function, advanced text search, and BLAST and Smith-Waterman search capabilities. The major source of peptide sequence data comes from text mining of MEDLINE abstracts. Another component of the database is the peptide sequence data from public sources (ASPD and UniProt). An additional, smaller part of the database is manually curated from sets of full text articles and text mining results. We show the utility of the database in different examples of affinity ligand discovery. Conclusion: We have created and maintain a database of peptide sequences. The database has biological and medical applications, for example, to predict the binding partners of biologically interesting peptides, to develop peptide based therapeutic or diagnostic agents, or to predict molecular targets or binding specificities of peptides resulting from phage display selection. The database is freely available on http://pepbank.mgh.harvard.edu, and the text mining source code (Peptide::Pubmed) is freely available above as well as on CPAN (http://www.cpan.org/)

Arthritis imaging using a near-infrared fluorescence folate-targeted probe

A recently developed near-infrared fluorescence-labeled folate probe (NIR2-folate) was tested for in vivo imaging of arthritis using a lipopolysaccharide intra-articular injection model and a KRN transgenic mice serum induction mouse model. In the lipopolysaccharide injection model, the fluorescence signal intensity of NIR2-folate (n = 12) and of free NIR2 (n = 5) was compared between lipopolysaccharide-treated and control joints. The fluorescence signal intensity of the NIR2-folate probe at the inflammatory joints was found to be significantly higher than the control normal joints (up to 2.3-fold, P < 0.001). The NIR2-free dye injection group showed a persistent lower enhancement ratio than the NIR2-folate probe injection group. Excessive folic acid was also given to demonstrate a competitive effect with the NIR2-folate. In the KRN serum transfer model (n = 4), NIR2-folate was applied at different time points after serum transfer, and the inflamed joints could be detected as early as 30 hours after arthritogenic antibody transfer (1.8-fold increase in signal intensity). Fluorescence microscopy, histology, and immunohistochemistry validated the optical imaging results. We conclude that in vivo arthritis detection was feasible using a folate-targeted near-infrared fluorescence probe. This receptor-targeted imaging method may facilitate improved arthritis diagnosis and early assessment of the disease progress by providing an in vivo characterization of active macrophage status in inflammatory joint diseases

Multicolor Fluorescent Intravital Live Microscopy (FILM) for Surgical Tumor Resection in a Mouse Xenograft Model

Background: Complete surgical resection of neoplasia remains one of the most efficient tumor therapies. However, malignant cell clusters are often left behind during surgery due to the inability to visualize and differentiate them against host tissue. Here we establish the feasibility of multicolor fluorescent intravital live microscopy (FILM) where multiple cellular and/or unique tissue compartments are stained simultaneously and imaged in real time. Methodology/Principal Findings: Theoretical simulations of imaging probe localization were carried out for three agents with specificity for cancer cells, stromal host response, or vascular perfusion. This transport analysis gave insight into the probe pharmacokinetics and tissue distribution, facilitating the experimental design and allowing predictions to be made about the localization of the probes in other animal models and in the clinic. The imaging probes were administered systemically at optimal time points based on the simulations, and the multicolor FILM images obtained in vivo were then compared to conventional pathological sections. Our data show the feasibility of real time in vivo pathology at cellular resolution and molecular specificity with excellent agreement between intravital and traditional in vitro immunohistochemistry. Conclusions/Significance: Multicolor FILM is an accurate method for identifying malignant tissue and cells in vivo. The imaging probes distributed in a manner similar to predictions based on transport principles, and these models can be used to design future probes and experiments. FILM can provide critical real time feedback and should be a useful tool for mor