Regulation of antigen processing and presentation molecules in West Nile virus-infected human skin fibroblasts

Infection of humans with the West Nile flavivirus principally occurs via tick and mosquito bites. Here, we document the expression of antigen processing and presentation molecules in West Nile virus (WNV)-infected human skin fibroblast (HFF) cells. Using a new Flavivirus-specific antibody, 4G4, we have analyzed cell surface human leukocyte antigen (HLA) expression on virus-infected cells at a single cell level. Using this approach, we show that West Nile Virus infection alters surface HLA expression on both infected HFF and neighboring uninfected HFF cells. Interestingly, increased surface HLA evident on infected HFF cultures is almost entirely due to virus-induced interferon (IFN)alpha/beta because IFNalpha/beta-neutralizing antibodies completely prevent increased surface HLA expression. In contrast, RT-PCR analysis indicates that WNV infection results in increased mRNAs for HLA-A, -B, and -C genes, and HLA-associated molecules low molecular weight polypeptide-2 (LMP-2) and transporter associated with antigen presentation-1 (TAP-1), but induction of these mRNAs is not diminished in HFF cells cultured with IFNalpha/beta-neutralizing antibodies. Taken together, these data support the idea that that both cytokine-dependent and cytokine-independent mechanisms account for WNV-induced HLA expression in human skin fibroblasts. (C) 2004 Elsevier Inc. All rights reserved.

Multilevel modelling for inference of genetic regulatory networks

Time-course experiments with microarrays are often used to study dynamic biological systems and genetic regulatory networks (GRNs) that model how genes influence each other in cell-level development of organisms. The inference for GRNs provides important insights into the fundamental biological processes such as growth and is useful in disease diagnosis and genomic drug design. Due to the experimental design, multilevel data hierarchies are often present in time-course gene expression data. Most existing methods, however, ignore the dependency of the expression measurements over time and the correlation among gene expression profiles. Such independence assumptions violate regulatory interactions and can result in overlooking certain important subject effects and lead to spurious inference for regulatory networks or mechanisms. In this paper, a multilevel mixed-effects model is adopted to incorporate data hierarchies in the analysis of time-course data, where temporal and subject effects are both assumed to be random. The method starts with the clustering of genes by fitting the mixture model within the multilevel random-effects model framework using the expectation-maximization (EM) algorithm. The network of regulatory interactions is then determined by searching for regulatory control elements (activators and inhibitors) shared by the clusters of co-expressed genes, based on a time-lagged correlation coefficients measurement. The method is applied to two real time-course datasets from the budding yeast (Saccharomyces cerevisiae) genome. It is shown that the proposed method provides clusters of cell-cycle regulated genes that are supported by existing gene function annotations, and hence enables inference on regulatory interactions for the genetic network.

Plasma membrane calcium-ATPase 2 and 4 in human breast cancer cell lines

There is evidence to suggest that plasma membrane Ca2+-ATPase (PMCA) isoforms are important mediators of mammary gland physiology. PMCA2 in particular is upregulated extensively during lactation. Expression of other isoforms such as PMCA4 may influence mammary gland epithelial cell proliferation and aberrant regulation of PMCA isoform expression may lead or contribute to mammary gland pathophysiology in the form of breast cancers. To explore whether PMCA2 and PMCA4 expression may be deregulated in breast cancer, we compared mRNA expression of these PMCA isoforms in tumorigenic and non-tumorigenic human breast epithelial cell lines using real time RT-PCR. PMCA2 mRNA has a higher level of expression in some breast cancer cell lines and is overexpressed more than 100-fold in ZR-75-1 cells, compared to non-tumorigenic 184135 cells. Although differences in PMCA4 mRNA levels were observed between breast cell lines, they were not of the magnitude observed for PMCA2. We conclude that PMCA2 mRNA can be highly overexpressed in some breast cancer cells. The significance of PMCA2 overexpression on tumorigenicity and its possible correlation with other properties such as invasiveness requires further study. (c) 2005 Elsevier Inc. All rights reserved.

Antisense-mediated inhibition of the plasma membrane Calcium-ATPase suppresses proliferation of MCF-7 cells

Alterations in Ca2+ signaling may contribute to tumorigenesis and the mechanism of action of some anticancer drugs. The plasma membrane calcium-ATPase (PMCA) is a crucial controller of intracellular Ca2+ signaling. Altered PMCA expression occurs in the mammary gland during lactation and in breast cancer cell lines. Despite this, the consequences of PMCA inhibition in breast cancer cell lines have not been investigated. In this work, we used Tet-off PMCA antisense-expressing MCF-7 cells to assess the effects of PMCA inhibition in a human breast cancer cell line. At a level of PMCA inhibition that did not completely prevent PMCA-mediated Ca2+ efflux and did not induce cell death, a dramatic inhibition of cellular proliferation was observed. Fluorescence-activated cell sorting analysis indicated that PMCA antisense involves changes in cell cycle kinetics but not cell cycle arrest. We concluded that modulation of PMCA has important effects in regulating the proliferation of human breast cancer MCF-7 cells.

Isoform specific changes in calcium transporters in colon and breast cancer cell lines

Calcium transporters play vital roles in the transport of calcium ions across cells of the mammary gland and the intestine. One such transporter is the plasma membrane Ca2+-ATPase (PMCA), of which there are 4 different genes (PMCA1-4). In these studies we investigated the hypothesis that the expression of PMCA is altered in HT-29 colon cancer cells during sodium butyrate and post-confluence mediated differentiation. We also investigated if PMCA expression is altered in breast cancer cell lines in an isofrom specific manner. Our results indicate isoform specific changes in PMCA mRNA and protein levels in HT-29 cells during differentiation, using real time RT-PCR and western blotting, respectively. We also observed pronounced alterations in the mRNA levels of the PMCA isoform linked to lactation (PMCA2) in a bank of breast cancer cell lines compared to normal cell lines. Changes in other isoforms were less pronounced. To further study the role of specific calcium transporters we have optimised conditions for the reverse transfection of MCF-7 breast cancer cells using NeoFX (Ambion). Using real time RT-PCR we have confirmed gene knockdown for specific isoforms and have studied the time course of knockdown over 96 hours. We see approximately 68 % inhibition at 24 hours increasing to 84 % 96 hours post-reverse transfection. Our studies suggest that the expression of specific calcium transporter isoforms can be significantly altered in cancer cell lines and that isoform specific inhibition of calcium transporters is possible using reverse transfection of siRNA