PubMed Health⌕ Search

Biomedical subjects

Jude E Onyia

Publications and source records attributed to Jude E Onyia.

13 recordsLinked to original sources

A proteomic analysis of adult rat bone reveals the presence of cartilage/chondrocyte markers.

The non-mineral component of bone matrix consists of 90% collagenous, 10% non-collagenous proteins. These proteins regulate mineralization, growth, cell signaling and differentiation, and provide bone with its tensile strength. Expression of bone matrix proteins have historically been studied individually or in small numbers owing to limitations in analytical technologies. Current mass-spectrometric and separations technologies allow a global view of protein expression patterns in complex samples. To our knowledge, no proteome profile of bone matrix has yet been reported. Therefore, we have used mass spectrometry as a tool to generate a profile of proteins present in the extracellular matrix of adult rat bone. Overall, 108 and 25 proteins were identified with high confidence in the metaphysis and diaphysis, respectively, using a bottom up proteomic technique. Twenty-one of these proteins were present in both the metaphysis and diaphysis including the bone specific proteins, osteocalcin, type I collagen, osteopontin, osteoregulin, and bone sialoprotein. Interestingly, type II collagen, a protein thought to be exclusively expressed in cartilage, was identified in both the metaphysis and diaphysis. This observation was validated by Western blot. Additionally, the presence of aggrecan, another protein expressed in cartilage was identified in the bone matrix extracts by Western blot. The proteome profile generated using this technology represents an initial survey of the acid soluble proteins of bone matrix which provides a reference for the analysis of deviations from the normal composition due to perturbations or disease states.

Aggrecans↗

Comparative analysis and integrative classification of NCI60 cell lines and primary tumors using gene expression profiling data.

BACKGROUND: NCI60 cell lines are derived from cancers of 9 tissue origins and have been invaluable in vitro models for cancer research and anti-cancer drug screen. Although extensive studies have been carried out to assess the molecular features of NCI60 cell lines related to cancer and their sensitivities to more than 100,000 chemical compounds, it remains unclear if and how well these cell lines represent or model their tumor tissues of origin. Identification and confirmation of correct origins of NCI60 cell lines are critical to their usage as model systems and to translate in vitro studies into clinical potentials. Here we report a direct comparison between NCI60 cell lines and primary tumors by analyzing global gene expression profiles. RESULTS: Comparative analysis suggested that 51 of 59 cell lines we analyzed represent their presumed tumors of origin. Taking advantage of available clinical information of primary tumor samples used to generate gene expression profiling data, we further classified those cell lines with the correct origins into different subtypes of cancer or different stages in cancer development. For example, 6 of 7 non-small cell lung cancer cell lines were classified as lung adenocarcinomas and all of them were classified into late stages in tumor progression. CONCLUSION: Taken together, we developed and applied a novel approach for systematic comparative analysis and integrative classification of NCI60 cell lines and primary tumors. Our results could provide guidance to the selection of appropriate cell lines for cancer research and pharmaceutical compound screenings. Moreover, this gene expression profile based approach can be generally applied to evaluate experimental model systems such as cell lines and animal models for human diseases.

Carcinoma, Non-Small-Cell Lung↗

Identification of blood biomarkers of rheumatoid arthritis by transcript profiling of peripheral blood mononuclear cells from the rat collagen-induced arthritis model.

Rheumatoid arthritis (RA) is a chronic debilitating autoimmune disease that results in joint destruction and subsequent loss of function. To better understand its pathogenesis and to facilitate the search for novel RA therapeutics, we profiled the rat model of collagen-induced arthritis (CIA) to discover and characterize blood biomarkers for RA. Peripheral blood mononuclear cells (PBMCs) were purified using a Ficoll gradient at various time points after type II collagen immunization for RNA preparation. Total RNA was processed for a microarray analysis using Affymetrix GeneChip technology. Statistical comparison analyses identified differentially expressed genes that distinguished CIA from control rats. Clustering analyses indicated that gene expression patterns correlated with laboratory indices of disease progression. A set of 28 probe sets showed significant differences in expression between blood from arthritic rats and that from controls at the earliest time after induction, and the difference persisted for the entire time course. Gene Ontology comparison of the present study with previous published murine microarray studies showed conserved Biological Processes during disease induction between the local joint and PBMC responses. Genes known to be involved in autoimmune response and arthritis, such as those encoding Galectin-3, Versican, and Socs3, were identified and validated by quantitative TaqMan RT-PCR analysis using independent blood samples. Finally, immunoblot analysis confirmed that Galectin-3 was secreted over time in plasma as well as in supernatant of cultured tissue synoviocytes of the arthritic rats, which is consistent with disease progression. Our data indicate that gene expression in PBMCs from the CIA model can be utilized to identify candidate blood biomarkers for RA.

Animals↗

Orally bioavailable GSK-3alpha/beta dual inhibitor increases markers of cellular differentiation in vitro and bone mass in vivo.

UNLABELLED: GSK-3, a component of the canonical Wnt signaling pathway, is implicated in regulation of bone mass. The effect of a small molecule GSK-3 inhibitor was evaluated in pre-osteoblasts and in osteopenic rats. GSK-3 inhibitor induced osteoblast differentiation in vitro and increased markers of bone formation in vitro and in vivo with concomitant increased bone mass and strength in rats. INTRODUCTION: Inactivation of glycogen synthase kinase -3 (GSK-3) leads to stabilization, accumulation, and translocation of beta-catenin into the nucleus to activate downstream Wnt target genes. To examine whether GSK-3 directly regulates bone formation and mass we evaluated the effect of 603281-31-8, a small molecule GSK-3 alpha/beta dual inhibitor in preosteoblastic cells and in osteopenic rats. MATERIALS AND METHODS: Murine mesenchymal C3H10T1/2 cells were treated with GSK-3 inhibitor (603281-31-8) and assayed for beta-catenin levels, activity of Wnt-responsive promoter, expression of mRNA for bone formation, and adipogenic markers and alkaline phosphatase activity. In vivo, 6-month-old rats were ovariectomized (OVX), allowed to lose bone for 1 month, and treated with GSK-3 inhibitor at 3 mg/kg/day orally for 60 days. At the end of treatment, BMD was measured by DXA, bone formation rate by histomorphometry, vertebral strength (failure in compression), and the expression levels of osteoblast-related genes by real-time PCR. RESULTS: Treatment of C3H10T1/2 cells with the GSK-3 inhibitor increased the levels of beta-catenin accompanied by activation of Wnt-responsive TBE6-luciferase reporter gene. This was associated with an increased expression of mRNA for bone sialoprotein (1.4-fold), collagen alpha1 (I) (approximately 2-fold), osteocalcin (1.2-fold), collagen alpha1(V) (1.5-fold), alkaline phosphatase (approximately 160-fold), and runx2 (1.6-fold), markers of the osteoblast phenotype and bone formation activity. Alkaline phosphatase mRNA expression paralleled alkaline phosphatase activity. The mRNA levels of collagens alpha1 (I), alpha1 (V), biglycan, osteonectin, and runx-2 increased on treatment with the GSK-3 inhibitor in rat femur compared with the OVX control. DXA analyses revealed significant increases in BMC and BMD in cancellous and cortical bone of OVX rats treated with GSK-3 inhibitor. This was associated with increased strength (peak load, energy, and stiffness) assessed by lumbar vertebra load to failure in compression. Histomorphometric analyses showed that 603281-31-8 robustly increased bone formation but did not exclude a small effect on osteoclasts (resorption). CONCLUSIONS: An orally active, small molecule GSK-3 inhibitor induced osteoblast differentiation and increased markers of bone formation in vitro, and increased markers of bone formation, bone mass, and strength in vivo, consistent with a role for the canonical Wnt pathway in osteogenesis.

Administration, Oral↗

Expression profiling of rat femur revealed suppression of bone formation genes by treatment with alendronate and estrogen but not raloxifene.

The pharmacological preservation of bone in the ovariectomized rat by estrogen, selective estrogen receptor modulators (SERMs), and bisphosphonates has been well described. However, comprehensive molecular analysis of the effects of these pharmacologically diverse antiresorptive agents on gene expression in bone has not been performed. This study used DNA microarrays to analyze RNA from the proximal femur metaphysis of sham and ovariectomized vehicle-treated rats, and ovariectomized rats treated for 35 days with maximally efficacious doses of 17-alpha ethinyl estradiol, the benzothiophene SERM, raloxifene, the benzopyran SERM, (S)-3-(4-hydroxyphenyl)-4-methyl-2-[4-[2-(1-piperidinyl)ethoxy]phenyl]-2H-1-benzopyran-7-ol (EM652), and the aminobisphosphonate, alendronate. Ovariectomy resulted in 644 significant probe set changes relative to sham control rats (p < 0.05), whereas E2, raloxifene, EM652, and alendronate regulated 613, 765, 652, and 737 probe sets, respectively, relative to ovariectomized control rats. An intersection of these data sets yielded 334 unique genes that were altered after ovariectomy and additionally changed by one or more antiresorptive treatment. Clustering analysis showed that the transcript profile was distinctly different for each pharmaceutical agent and that raloxifene maintained more genes at sham levels than any other treatment. In addition, E2 and alendronate suppressed a cluster of genes associated with bone formation activity below that of sham, whereas raloxifene had little effect on these genes. These data indicate stronger suppressive effects of E2 and alendronate on bone formation activity and that ovariectomy plus raloxifene resembles sham more closely than ovariectomized animals treated with E2, EM652, or alendronate.

Alendronate↗

Molecular profile of catabolic versus anabolic treatment regimens of parathyroid hormone (PTH) in rat bone: an analysis by DNA microarray.

Teriparatide, human PTH (1-34), a new therapy for osteoporosis, elicits markedly different skeletal responses depending on the treatment regimen. In order to understand potential mechanisms for this dichotomy, the present investigation utilized microarrays to delineate the genes and pathways that are regulated by intermittent (subcutaneous injection of 80 microg/kg/day) and continuous (subcutaneous infusion of 40 microg/kg/day by osmotic mini pump) PTH (1-34) for 1 week in 6-month-old female rats. The effect of each PTH regimen was confirmed by histomorphometric analysis of the proximal tibial metaphysis, and mRNA from the distal femoral metaphysis was analyzed using an Affymetrix microarray. Both PTH paradigms co-regulated 22 genes including known bone formation genes (i.e., collagens, osteocalcin, decorin, and osteonectin) and also uniquely modulated additional genes. Intermittent PTH regulated 19 additional genes while continuous treatment regulated 173 additional genes. This investigation details for the first time the broad profiling of the gene and pathway changes that occur in vivo following treatment of intermittent versus continuous PTH (1-34). These results extend previous observations of gene expression changes and reveal the in vivo regulation of BMP3 and multiple neuronal genes by PTH treatment.

Animals↗

A statistical analysis of the TRANSFAC database.

Transcription factors are key regulatory elements that control gene expression. The TRANSFAC database represents the largest repository for experimentally derived transcription factor binding sites (TFBS). Understanding TFBS, which are typically conserved during evolution, helps us identify genomic regions related to human health and disease, and regions that might be predictive of patient outcomes. Here we present a statistical analysis of all TFBS in the TRANSFAC database. Our analysis suggests that current definition of TFBS core regions in TRANSFAC should be re-examined so as to capture a more precise notion of "cores." We offer insight into more appropriate definitions of TFBS consensus sequences and core regions. These revised definitions provide a better understanding of the nature of transcription factor-DNA binding and assist with developing algorithms for de novo TFBS discovery as well as finding novel variants of known TFBS.

Algorithms↗

Discovery of sequence motifs related to coexpression of genes using evolutionary computation.

Transcription factors are key regulatory elements that control gene expression. Recognition of transcription factor binding site (TFBS) motifs in the upstream region of coexpressed genes is therefore critical towards a true understanding of the regulations of gene expression. The task of discovering eukaryotic TFBSs remains a challenging problem. Here, we demonstrate that evolutionary computation can be used to search for TFBSs in upstream regions of genes known to be coexpressed. Evolutionary computation was used to search for TFBSs of genes regulated by octamer-binding factor and nuclear factor kappa B. The discovered binding sites included experimentally determined known binding motifs as well as lists of putative, previously unknown TFBSs. We believe that this method to search nucleotide sequence information efficiently for similar motifs will be useful for discovering TFBSs that affect gene regulation.

Algorithms↗

Novel and selective small molecule stimulators of osteoprotegerin expression inhibit bone resorption.

Osteoprotegerin (OPG), a secreted member of the tumor necrosis factor receptor superfamily, is a potent inhibitor of osteoclast formation and bone resorption. Because OPG functions physiologically as a locally generated (paracrine) factor, we used high-throughput screening to identify small molecules that enhance the activity of the promoter of the human OPG gene. We found three structurally unrelated compounds that selectively increased OPG gene transcription, OPG mRNA levels, and OPG protein production and release by osteoblastic cells. Structural analysis of one compound, a benzamide derivative, led to the identification of four related molecules, which are also OPG inducers. The most potent of these compounds, Cmpd 5 inhibited osteoclast formation and parathyroid hormone-induced calvarial bone resorption. In vivo, Cmpd 5 completely blocked resorptive activity (serum calcium, osteoclast number) in parathyroid hormone-treated rats. Furthermore, Cmpd 5 reduced the ability of a rat breast cancer to metastasize to bone. Finally, the compound also prevented bone loss in a rat adjuvant arthritis model. These results provide proof of the concept that low molecular weight compounds can enhance OPG production in ways that can result in effective therapies.

Animals↗

DNA binding and gene activation properties of the Nmp4 nuclear matrix transcription factors.

Splice variants of the Nmp4 gene include nuclear matrix transcription factors that regulate the type I collagen alpha1(I) polypeptide chain (COL1A1) promoter and several matrix metalloproteinase (MMP) genes. To date, these are the only Cys(2)His(2) zinc finger proteins known to bind within the minor groove of homopolymeric (dA.dT) DNA. Nmp4 isoforms contain from 5 to 8 Cys(2)His(2) zinc fingers, an SH3-binding domain that overlaps with a putative AT-hook and a polyglutamine-alanine repeat (poly(QA)). To determine the mechanistic significance of Cys(2)His(2) zinc finger association with this unusual consensus DNA binding element, we identified the Nmp4 DNA-binding and transcriptional activation domains. Zinc fingers 2, 3, and 6 mediated association with the homopolymeric (dA.dT) COL1A1/MMP DNA consensus element. The N terminus of the Nmp4 protein exhibited a strong trans-activation capacity when fused to the GAL4 DNA-binding domain, but this activity was masked within the context of the full-length Nmp4-GAL4 DNA-binding domain chimera. However, upon binding to the COL1A1/MMP homopolymeric (dA.dT) element, the native Nmp4 protein up-regulated transcription, and the poly(QA) domain acquired a significant role in trans-activation. We propose that allosteric effects induced upon zinc finger association with the homopolymeric (dA.dT) minor groove confer context-specific functionality to this unusual family of Cys(2)His(2) transcription factors.

Antigens, Nuclear↗

Protein Kinase C is a mediator of the synthesis and secretion of osteoprotegerin in osteoblast-like cells.

Osteoprotegerin (OPG) is a member of the TNF receptor superfamily and plays a critical role in the development of osteoclasts from precursor cells. OPG is produced by a variety of cells of mesenchymal origin and has been demonstrated to be present in osteoblasts and osteocytes. However, the mechanisms of regulation of OPG production and secretion are not known. Using a highly specific polyclonal antibody, we demonstrate that OPG is synthesized and secreted by osteoblast-like cells in culture. We further show that phorbol myristate acetate, an activator of protein kinase C, activated the secretion of OPG. Further, the increased secretion of OPG correlated well with a corresponding increase in OPG mRNA abundance. In addition, OPG promoter stably integrated into an osteoblast cell line was activated by phorbol myristate acetate. The increase in OPG expression was blocked by an inhibitor of protein kinase C, although the basal OPG expression was not altered. These results suggest that activation of the protein kinase C pathway may play a critical role in OPG expression.

Animals↗

Analysis of regulator of G-protein signaling-2 (RGS-2) expression and function in osteoblastic cells.

Regulator of G-protein signaling-2 (RGS-2) belongs to a novel family of GTPase-activating proteins that rapidly turn-off G-protein coupled receptor signaling. RGS proteins contain a characteristic RGS domain by which they interact with the alpha-subunit of G-proteins and drive them into their inactive GDP-bound forms. Previously, we have reported that RGS-2 mRNA is rapidly and transiently increased by PTH in rat bone and in osteoblast cultures in vitro. In this study, we further explored the molecular basis for the regulation of RGS-2 by cloning and functionally characterizing the RGS-2 gene promoter. We cloned 2.3- and 2.8-kb fragments of the 5'-flanking regions of the rat and mouse RGS-2 genes, respectively, and generated a stable clone of UMR106 osteoblastic cells containing the rat RGS-2 promoter driving the beta-gal reporter gene (p2.3RGS-2-beta-gal). Treatment of the stable clone with PTH resulted in a maximal 2.2- to 3.6-fold increase in promoter activity at 8 h, reminiscent of the early response observed with endogenous RGS-2 mRNA regulation. Further, PTH (1-38), (1-31), PTHrP (1-34), and forskolin, which elevate cAMP levels, stimulated the promoter, while PTH (3-34) and (7-34), which do not readily stimulate cAMP accumulation, and PMA that directly activates protein kinase C, had no effect on promoter activity. Taken together, these results implicate the involvement of the Galpha(s)-adenylate cyclase-protein kinase A pathway in stimulating RGS-2 expression. Maintenance of a hyperphosphorylated state via the inhibition of type 2A protein phosphatases by okadaic acid, resulted in a strong dose-dependent increase in transcriptional activity of the RGS-2 promoter as well as that of the endogenous RGS-2 gene. Furthermore, overexpression of the osteoblast-specific transcription factor Runx2 also led to a stimulation of RGS-2 promoter activity. Functional analysis using RGS-2 overexpression suggests the potential negative regulatory effects of RGS-2 on PTH- and forskolin-induced cAMP production in osteoblastic cells. In summary, our data suggest that PTH treatment results in a direct transcriptional stimulation of RGS-2 that in turn may play a role in modulating the duration/intensity of PTH receptor signaling.

Animals↗

Optimization and validation of small quantity RNA profiling for identifying TNF responses in cultured human vascular endothelial cells.

INTRODUCTION: Affymetrix oligonucleotide microarrays are widely used in basic and applied research (Lander, E.S., (1999). Array of hope. Nature Genetics 21, 3-4; Lockhart, D.J. & Winzeler, E.A. (2000) Genomics, gene expression and DNA arrays. Nature 405, 827-836.) The need for a significant amount of starting RNA has limited its use in applications where the amount of RNA is limiting, such as with Laser Captured Microdissection (LCM), small biopsies, or peripheral blood in rodent models. To overcome this limitation, various RNA amplification and labeling methods have been described, however, further optimization and validation of these methods are needed. METHODS: Here we reported using the Arcturus technology to optimize amplification and labeling of small amounts of RNA for Affymetrix microarray studies. We assessed the technical feasibility and variation introduced by differences in starting RNA quantity and differences in technical performance by microarray hybridization. RESULTS: We demonstrated that the current approach is reliable to amplify as little as 40 ng total RNA, and it is suitable for Affymetrix studies yielding satisfactory quantitative chip performance. We also showed that differences in labeling methods contribute more to variation than the differences in starting RNA quantity per se. As a model, we studied the well-documented TNF-induced inflammatory responses in cultured human vascular endothelial cells. We were able to recapitulate the TNF-induced responses using small RNA sample profiling.

Algorithms↗