Padma Maruvada

Dynamic Shuttling and Intranuclear Mobility of Nuclear Hormone Receptors

We expressed green fluorescent protein (GFP) chimeras of estrogen, retinoic acid, and thyroid hormone receptors (ERs, RARs, and TRs, respectively) in HeLa cells to examine nucleocytoplasmic shuttling and intranuclear mobility of nuclear hormone receptors (NRs) by confocal microscopy. These receptors were predominantly in the nucleus and, interestingly, underwent intranuclear reorganization after ligand treatment. Nucleocytoplasmic shuttling was demonstrated by heterokaryon experiments and energy-dependent blockade of nuclear import and leptomycin-dependent blockade of nuclear export. Ligand addition decreased shuttling by GFP-ER, whereas heterodimerization with retinoid X receptor helped maintain TR and RAR within the nucleus. Intranuclear mobility of the GFP-NRs was studied by fluorescence recovery after photo-bleaching ± cognate ligands. Both GFP-TR and GFP-RAR moved rapidly in the nucleus, and ligand binding did not significantly affect their mobility. In contrast, estrogen binding decreased the mobility of GFP-ER and also increased the fraction of GFP-ER that was unable to diffuse. These effects were even more pronounced with tamoxifen. Co-transfection of the co-activator, SRC-1, further slowed the mobility of liganded GFP-ER. Our findings suggest estradiol and tamoxifen exert differential effects on the intranuclear mobility of GFP-ER. They also show that ligand-binding and protein-protein interactions can affect the intracellular mobility of some NRs and thereby may contribute to their biological activity.

Thyroid hormone action at the cellular, genomic and target gene levels.

Thyroid hormone (TH) plays important roles in metabolism, growth and differentiation. Thyroid hormone receptors (TRs) are ligand-regulatable transcription factors that bind both TH and DNA enhancer sequences in the promoter region of target genes where they can interact with co-repressor and co-activator complexes. These interactons, in turn, have consequent effects on transcription. This review describes studies on TH action from our laboratory examining the cellular localization and motility of TRs using green fluorescent fusion proteins, gene expression profiles of TH in WT and TRalpha and TRbeta KO mice, as well as general transcription factor and co-activator recruitment on the promoters of target genes by TH in chromatin immunoprecipitation assays.

Interaction of Hepatitis C Virus-Like Particles and Cells: a Model System for Studying Viral Binding and Entry

ABSTRACT Hepatitis C virus-like particles (HCV-LPs) containing the structural proteins of HCV H77 strain (1a genotype) was used as a model for HCV virion to study virus-cell interaction. HCV-LPs showed a buoyant density of 1.17 to 1.22 g/cm3 in a sucrose gradient and formed double-shelled particles 35 to 49 nm in diameter. Flow cytometry analysis by an indirect method (detection with anti-E2 antibody) and a direct method (use of dye-labeled HCV-LPs) showed that HCV-LPs binds to several human hepatic (primary hepatocytes, HepG2, HuH7, and NKNT-3) and T-cell (Molt-4) lines. HCV-LPs binding to cells occurred in a dose- and calcium-dependent manner and was not mediated by CD81. Scatchard plot analysis suggests the presence of two binding sites for HCV-LPs with high (Kd ∼1 μg/ml) and low (Kd ∼50 to 60 μg/ml) affinities of binding. Anti-E1 and -E2 antibodies inhibited HCV-LPs binding to cells. While preincubation of HCV-LPs with very-low-density lipoprotein (VLDL), low-density lipoprotein (LDL), or high-density lipoprotein (HDL) blocked its binding to cells, preincubation of cells with VLDL, LDL, HDL, or anti-LDL-R antibody did not. Confocal microscopy analysis showed that, after binding to cells, dye-labeled HCV-LPs were internalized into the cytoplasm. This process could be inhibited with anti-E1 or anti-E2 antibodies, suggesting that E1 and E2 proteins mediate HCV-LPs binding and, subsequently, their entry into cells. Altogether, our results indicate that HCV-LPs can be used to further characterize the mechanisms involved in the early steps of HCV infection.

Role of the Asialoglycoprotein Receptor in Binding and Entry of Hepatitis C Virus Structural Proteins in Cultured Human Hepatocytes

ABSTRACT We used a baculovirus-based system to prepare structural proteins of hepatitis C virus (HCV) genotype 1a. Binding of this preparation to cultured human hepatic cells was both dose dependent and saturable. This binding was decreased by calcium depletion and was partially prevented by ligands of the asialoglycoprotein receptor (ASGP-R), thyroglobulin, asialothyroglobulin, and antibody against a peptide in the carbohydrate recognition domain of ASGP-R but not preimmune antibody. Uptake by hepatocytes was observed with both radiolabeled and dye-labeled HCV structural proteins. With hepatocytes expressing the hH1 subunit of the ASGP-R fused to green fluorescent protein, we could show by confocal microscopy that dye stain cointernalized with the fusion protein in an area surrounding the nucleus. Internalization was more efficient with a preparation containing p7 than with one that did not. The two preparations bound to transfected 3T3-L1 cells expressing either both (hH1 and hH2) subunits of the ASGP-R (3T3-22Z cells) or both hH1 and a functionally defective variant of hH2 (3T3-24X cells) but not to parental cells. Additionally, uptake of dye-labeled preparation containing p7 was observed with 3T3-22Z cells but not with 3T3-L1 or 3T3-24X cells or with the preparation lacking p7, suggesting that p7 regulates the internalization properties of HCV structural proteins. Our observations suggest that HCV structural proteins bind to and cointernalize with the ASGP-R in cultured human hepatocytes.

Biomarkers in molecular medicine: cancer detection and diagnosis.

In spite of advances in diagnostics and therapeutics, cancer remains the second leading cause of death in the U.S. Successful cancer treatment depends not only on better therapies but also on improved methods to assess an individuals risk of developing cancer and to detect cancers at early stages when they can be more effectively treated. Current cancer diagnostic imaging methods are labor-intensive and expensive, especially for screening large asymptomatic populations. Effective screening strategies depend on methods that are noninvasive and detect cancers in their early stages of development. There is increasing interest and enthusiasm in molecular markers as tools for cancer detection and prognosis. It is hoped that newly discovered cancer biomarkers and advances in high-throughput technologies would revolutionize cancer therapies by improving cancer risk assessment, early detection, diagnosis, prognosis, and monitoring therapeutic response. These biomarkers will be used either as stand-alone tests or to complement existing imaging methods.

Joint National Cancer Institute-Food and Drug Administration Workshop on Research Strategies, Study Designs, and Statistical Approaches to Biomarker Validation for Cancer Diagnosis and Detection

Cancer remains the second leading cause of death in the United States, in spite of tremendous advances made in therapeutic and diagnostic strategies. Successful cancer treatment depends on improved methods to detect cancers at early stages when they can be treated more effectively. Biomarkers for early detection of cancer enable screening of asymptomatic populations and thus play a critical role in cancer diagnosis. However, the approaches for validating biomarkers have yet to be addressed clearly. In an effort to delineate the ambiguities related to biomarker validation and related statistical considerations, the National Cancer Institute, in collaboration with the Food and Drug Administration, conducted a workshop in July 2004 entitled “Research Strategies, Study Designs, and Statistical Approaches to Biomarker Validation for Cancer Diagnosis and Detection.” The main objective of this workshop was to review basic considerations underpinning the study designs, statistical methodologies, and novel approaches necessary to rapidly advance the clinical application of cancer biomarkers. The current commentary describes various aspects of statistical considerations and study designs for cancer biomarker validation discussed in this workshop. (Cancer Epidemiol Biomarkers Prev 2006;15(6):1078–82)

Molecular diagnostics: a new frontier in cancer prevention.

The promise of molecular diagnostics for cancer prevention in terms of early detection rests on two premises: assays can be developed to measure proteins, DNA, RNA or metabolites that accurately and reproducibly detect incipient neoplasias; and that this early detection will eventually result in a decrease in morbidity and mortality and therefore benefit patients. Novel molecular technologies, including laser capture microdissection, time-of-flight mass spectrometry, DNA microarrays, tissue arrays, protein microarrays and antibody microarrays, are being developed to investigate the molecular differences between disease and normal cells and detect cancer-specific alterations in proteins, DNA and RNA in body fluids. Although literally hundreds of articles are published each year describing alterations in genes or proteins that are associated with cancer, very few result in useful molecular diagnostics for early cancer detection. Thus, there remains a critical need for new biomarkers for use in early detection and for assay methods that allow the translation of these biomarkers from the laboratory to the clinic.

Biomarkers for Cancer Diagnosis: Implications for Nutritional Research

The biology of disease progression is a complex process that involves multiple sequential steps leading to cellular changes and metabolic events. These molecular events, which may serve as potential biomarkers, can be analyzed by laboratory methods and used to detect a disease such as cancer or indicate the biological exposure to environmental substances including dietary intake. Identification of the genetic, molecular, and clinical events involved in the disease process enables the development of effective therapeutic and preventive measures and the prediction of prognostic outcomes. This article describes various factors that influence nutritional and cancer biomarker research, draws similarities between them, and discusses the measures that have been adapted to validate cancer biomarkers that can potentially be applied to nutritional biomarker research. Nutritional research suffers from a lack of means to quantify relationships between diet and cancer. Biomarkers of dietary intake or metabolism, therefore, could have potential application in study designs for establishing a causal relationship between diet and disease.

The Human Microbiome and Obesity: Moving beyond Associations

Mounting evidence indicates that the gut microbiome responds to diet, antibiotics, and other external stimuli with speed and high precision and in ways that impact a variety of metabolic conditions including obesity and non-alcoholic fatty liver disease. Despite a decade of research establishing a strong association between the gut microbiota and obesity in humans, a causal relationship and the underlying mechanism remain outstanding. Several technological and methodological limitations in obesity and microbiome research have made it difficult to establish causality in this complex relationship. Additionally, limited collaborative interaction between microbiome and obesity researchers has delayed progress. Here, we discuss the current status of microbiome research as it relates to understanding obesity from the perspective of both communities, outline the underlying research challenges, and suggest directions to advance the obesity-microbiome field as a whole, with particular emphasis on the development of microbiome-targeted therapies for obesity prevention and treatment.

Executive summary of NIH workshop on the Use and Biology of Energy Drinks: Current Knowledge and Critical Gaps.

Sales of energy drinks in the United States reached