Quantifying aggregation of IgE-FcepsilonRI by multivalent antigen

Aggregation of cell surface receptors by multivalent ligand can trigger a variety of cellular responses. A well-studied receptor that responds to aggregation is the high affinity receptor for IgE (FcepsilonRI), which is responsible for initiating allergic reactions. To quantify antigen-induced aggregation of IgE-FcepsilonRI complexes, we have developed a method based on multiparameter flow cytometry to monitor both occupancy of surface IgE combining sites and association of antigen with the cell surface. The number of bound IgE combining sites in excess of the number of bound antigens, the number of bridges between receptors, provides a quantitative measure of IgE-FcepsilonRI aggregation. We demonstrate our method by using it to study the equilibrium binding of a haptenated fluorescent protein, 2,4-dinitrophenol-coupled B-phycoerythrin (DNP25-PE), to fluorescein isothiocyanate-labeled anti-DNP IgE on the surface of rat basophilic leukemia cells. The results, which we analyze with the aid of a mathematical model, indicate how IgE-FcepsilonRI aggregation depends on the total concentrations of DNP25-PE and surface IgE. As expected, we find that maximal aggregation occurs at an optimal antigen concentration. We also find that aggregation varies qualitatively with the total concentration of surface IgE as predicted by an earlier theoretical analysis.     

Natriuretic peptide system gene expression in human coronary arteries.

The natriuretic peptides (NPs) ANF, BNP, and CNP have potent anti-proliferative and anti-migratory effects on vascular smooth muscle cells (SMCs). These properties make NPs relevant to the study of human coronary atherosclerosis because vascular cell proliferation and migration are central to the pathophysiology of atherosclerosis. However, the existence and cytological distribution of NPs and their receptors in human coronary arteries remain undetermined. This has hampered the development of hypotheses regarding the possible role of NPs in human coronary disease. We determined the pattern of expression of NPs and their receptors (NPRs) in human coronary arteries with atherosclerotic lesions classified by standard histopathological criteria as fatty streak/early atherosclerotic lesions, intermediate plaques, or advanced lesions. The investigation was carried out using a combination of immunocytochemistry (ICC), in situ hybridization (ISH), and semi-quantitative polymerase chain reaction (PCR). Both by ICC and ISH, ANF was found in the intimal and medial layers of all lesions. BNP was highly expressed in advanced lesions where it was particularly evident by a strong ISH signal but weak ICC staining. CNP was demonstrable in all types of lesions, giving a strong signal by ISH and ICC. This peptide was particularly demonstrable in the endothelium, as well as in the SMCs of the intima, media, and vasa vasorum of the adventitia and in macrophages. By ISH, NPR-A was not detectable in any of the lesions but both NPR-B and NPR-C were found in the intimal and the inner medial layers. By RT-PCR, mRNA levels of all NPs tended to be increased in macroscopically diseased arteries, but only the values for BNP were significantly so. No significant changes in NPR mRNA levels were detected by PCR. In general, the signal intensity given by the NPs and their receptors by ICC or ISH appeared dependent on the type of lesion, being strongest in intermediate plaques and decreasing with increasing severity of the lesion. This study constitutes the first demonstration of NPs and NPR mRNAs in human coronary arteries and supports the existence of an autocrine/paracrine NP system that is actively modulated during the progression of atherosclerotic coronary disease. This suggests that the coronary NP system is involved in the pathobiology of intimal plaque formation in humans and may be involved in vascular remodeling.     

Quantitative Analysis of Autophagy using Advanced 3D Fluorescence Microscopy

Prostate cancer is the leading form of malignancies among men in the U.S. While surgery carries a significant risk of impotence and incontinence, traditional chemotherapeutic approaches have been largely unsuccessful. Hormone therapy is effective at early stage, but often fails with the eventual development of hormone-refractory tumors. We have been interested in developing therapeutics targeting specific metabolic deficiency of tumor cells. We recently showed that prostate tumor cells specifically lack an enzyme (argininosuccinate synthase, or ASS) involved in the synthesis of the amino acid arginine¹. This condition causes the tumor cells to become dependent on exogenous arginine, and they undergo metabolic stress when free arginine is depleted by arginine deiminase (ADI)^1,10. Indeed, we have shown that human prostate cancer cells CWR22Rv1 are effectively killed by ADI with caspase-independent apoptosis and aggressive autophagy (or macroautophagy)^1,2,3. Autophagy is an evolutionarily-conserved process that allows cells to metabolize unwanted proteins by lysosomal breakdown during nutritional starvation^4,5. Although the essential components of this pathway are well-characterized^6,7,8,9, many aspects of the molecular mechanism are still unclear - in particular, what is the role of autophagy in the death-response of prostate cancer cells after ADI treatment? In order to address this question, we required an experimental method to measure the level and extent of autophagic response in cells - and since there are no known molecular markers that can accurately track this process, we chose to develop an imaging-based approach, using quantitative 3D fluorescence microscopy^11,12.Using CWR22Rv1 cells specifically-labeled with fluorescent probes for autophagosomes and lysosomes, we show that 3D image stacks acquired with either widefield deconvolution microscopy (and later, with super-resolution, structured-illumination microscopy) can clearly capture the early stages of autophagy induction. With commercially available digital image analysis applications, we can readily obtain statistical information about autophagosome and lysosome number, size, distribution, and degree of colocalization from any imaged cell. This information allows us to precisely track the progress of autophagy in living cells and enables our continued investigation into the role of autophagy in cancer chemotherapy.     

Growth of mouse hepatocytes is stimulated by gastrin

Hepatocyte growth is regulated by various growth factors, including epidermal growth factor (EGF) and insulin. Recently, several additional peptide hormones have been shown to stimulate growth of hepatocyte only in the presence of EGF or insulin and are thus termed secondary mitogens. Gastrin regulates growth of normal and neoplastic gastrointestinal tissues, but the effect on growth of hepatocyte is unknown. We examined the effect of gastrin on growth of a normal mouse hepatocyte (NMH) line established in our laboratory. Effect of gastrin-17 (G-17) (10^?8 to 10^?6 M) on growth of NMH cells was examined in either the presence or absence of EGF in the culture medium. Growth of NMH cells was evaluated by incorporation of either bromodeoxyuridine (BrdU) or ³H-thymidine and by counting cells. Presence of a cell-surface receptor for G-17 was determined by Scatchard analysis using ¹²⁵I-G-17. In the presence of EGF, gastrin stimulated growth of NMH cells; in the absence of EGF, gastrin did not affect growth. The stimulatory effect of gastrin on NMH cells was blocked by JMV 320, a CCK-B type receptor antagonist. NMH cells possess a single, high affinity binding site for gastrin (K_d = 1.2 nM); EGF increased the gastrin binding capacity compared to non-treated cells (3.5 ± 0.4 vs. 2.2 ± 0.6 fmol/10⁶ cells). G-17 stimulated growth of NMH cells through a single high affinity receptor for G-17 which pharmcologically appears to be the CCK-B type only in the presence of EGF and thus can be considered a secondary mitogen. © 1995 Wiley-Liss, Inc.     

Bacterial community composition in low-flowing river water with different sources of pollutants

Pollution of water resources is a major risk to human health and water quality throughout the world. The purpose of this study was to determine the influence of pollutant sources from agricultural activities, urban runoffs, and runoffs from wastewater treatment plants (WWTPs) on bacterial communities in a low-flowing river. Bacterial community structure was monitored using terminal restriction fragment length polymorphism (T-RFLP) and 16S rRNA gene clone library. The results were analyzed using nonmetric multidimensional scaling (NMDS) and UniFrac, coupled with principal coordinate analysis (PCoA) to compare diversity, abundance, community structure, and specific functional groups of bacteria in surface water affected by nonpoint sources. From all the sampling points, Bacteria were numerically dominated by three phyla – the Proteobacteria, Bacteroidetes, and Cyanobacteria – accounting for the majority of taxa detected. Overall results, using the b diversity measures UniFrac, coupled with PCoA, showed that bacterial contamination of the low-flowing river was not significantly different between agricultural activities and urban runoff.     

Externalising moods and psychological states in a cloud based system to enhance a pet-robot and child’s interaction

Background

This PATRICIA research project is about using pet robots to reduce pain and anxiety in hospitalized children. The study began 2 years ago and it is believed that the advances made in this project are significant. Patients, parents, nurses, psychologists, and engineers have adopted the Pleo robot, a baby dinosaur robotic pet, which works in different ways to assist children during hospitalization.

Methods

Focus is spent on creating a wireless communication system with the Pleo in order to help the coordinator, who conducts therapy with the child, monitor, understand, and control Pleo’s behavior at any moment. This article reports how this technological function is being developed and tested.

Results

Wireless communication between the Pleo and an Android device is achieved. The developed Android app allows the user to obtain any state of the robot without stopping its interaction with the patient. Moreover, information is sent to a cloud, so that robot moods, states and interactions can be shared among different robots.

Conclusions

Pleo attachment was successful for more than 1 month, working with children in therapy, which makes the investment capable of positive therapeutic possibilities. This technical improvement in the Pleo addresses two key issues in social robotics: needing an enhanced response to maintain the attention and engagement of the child, and using the system as a platform to collect the states of the child’s progress for clinical purposes.