Biomedical subjects

Shane C Burgess

Publications and source records attributed to Shane C Burgess.

13 recordsLinked to original sources

PubMed2006

AgBase: a unified resource for functional analysis in agriculture.

Analysis of functional genomics (transcriptomics and proteomics) datasets is hindered in agricultural species because agricultural genome sequences have relatively poor structural and functional annotation. To facilitate systems biology in these species we have established the curated, web-accessible, public resource 'AgBase' (www.agbase.msstate.edu). We have improved the structural annotation of agriculturally important genomes by experimentally confirming the in vivo expression of electronically predicted proteins and by proteogenomic mapping. Proteogenomic data are available from the AgBase proteogenomics link. We contribute Gene Ontology (GO) annotations and we provide a two tier system of GO annotations for users. The 'GO Consortium' gene association file contains the most rigorous GO annotations based solely on experimental data. The 'Community' gene association file contains GO annotations based on expert community knowledge (annotations based directly from author statements and submitted annotations from the community) and annotations for predicted proteins. We have developed two tools for proteomics analysis and these are freely available on request. A suite of tools for analyzing functional genomics datasets using the GO is available online at the AgBase site. We encourage and publicly acknowledge GO annotations from researchers and provide an online mechanism for agricultural researchers to submit requests for GO annotations.

Agriculture↗

PubMed2006

AgBase: a functional genomics resource for agriculture.

BACKGROUND: Many agricultural species and their pathogens have sequenced genomes and more are in progress. Agricultural species provide food, fiber, xenotransplant tissues, biopharmaceuticals and biomedical models. Moreover, many agricultural microorganisms are human zoonoses. However, systems biology from functional genomics data is hindered in agricultural species because agricultural genome sequences have relatively poor structural and functional annotation and agricultural research communities are smaller with limited funding compared to many model organism communities. DESCRIPTION: To facilitate systems biology in these traditionally agricultural species we have established "AgBase", a curated, web-accessible, public resource http://www.agbase.msstate.edu for structural and functional annotation of agricultural genomes. The AgBase database includes a suite of computational tools to use GO annotations. We use standardized nomenclature following the Human Genome Organization Gene Nomenclature guidelines and are currently functionally annotating chicken, cow and sheep gene products using the Gene Ontology (GO). The computational tools we have developed accept and batch process data derived from different public databases (with different accession codes), return all existing GO annotations, provide a list of products without GO annotation, identify potential orthologs, model functional genomics data using GO and assist proteomics analysis of ESTs and EST assemblies. Our journal database helps prevent redundant manual GO curation. We encourage and publicly acknowledge GO annotations from researchers and provide a service for researchers interested in GO and analysis of functional genomics data. CONCLUSION: The AgBase database is the first database dedicated to functional genomics and systems biology analysis for agriculturally important species and their pathogens. We use experimental data to improve structural annotation of genomes and to functionally characterize gene products. AgBase is also directly relevant for researchers in fields as diverse as agricultural production, cancer biology, biopharmaceuticals, human health and evolutionary biology. Moreover, the experimental methods and bioinformatics tools we provide are widely applicable to many other species including model organisms.

Agriculture↗

PubMed2006

Effect of developmental exposure to chlorpyrifos on the expression of neurotrophin growth factors and cell-specific markers in neonatal rat brain.

Chlorpyrifos (CPS), a known neurotoxicant, is a widely used agricultural organophosphorus insecticide. The effects of postnatal exposure to CPS on the expression of mRNA for two factors critical to brain development, nerve growth factor (NGF) and reelin, were investigated in the forebrain of rats. In addition, the expression of mRNA for the muscarinic acetylcholine receptor (mAChR) M(1) subtype and cell-specific markers for developing neurons (beta-III tubulin), astrocytes (glial fibrillary acidic protein, GFAP), and oligodendrocytes (myelin-associated glycoprotein, MAG) was also investigated. Oral administration of CPS (1.5 or 3.0 mg/kg) or the corn oil vehicle was performed daily from postnatal days (PNDs) 1 through 6. No signs of overt toxicity or of cholinergic hyperstimulation were observed after CPS administration. Body weight was significantly different from controls on PND7 in both males and females exposed to 3.0 mg/kg CPS. Quantitative PCR was performed on the forebrain. The expression of NGF, reelin, and M(1) mAChR mRNA was significantly reduced with both dosages of CPS in both sexes. beta-III Tubulin mRNA expression remained unchanged after exposure, whereas MAG mRNA expression was significantly decreased with both dosages of CPS in both sexes, suggesting effects on the developing oligodendrocytes. In contrast, GFAP mRNA levels were significantly increased with both dosages of CPS in both sexes, suggesting increased astrocyte reactivity. Our findings indicate that dosages of CPS which cause significant cholinesterase inhibition but do not exert overt toxicity can adversely affect the expression levels of critical genes involved in brain development during the early postnatal period in the rat.

Animals↗

PubMed2006

Modeling a whole organ using proteomics: the avian bursa of Fabricius.

While advances in proteomics have improved proteome coverage and enhanced biological modeling, modeling function in multicellular organisms requires understanding how cells interact. Here we used the chicken bursa of Fabricius, a common experimental system for B cell function, to model organ function from proteomics data. The bursa has two major functional cell types: B cells and the supporting stromal cells. We used differential detergent fractionation-multidimensional protein identification technology (DDF-MudPIT) to identify 5198 proteins from all cellular compartments. Of these, 1753 were B cell specific, 1972 were stroma specific and 1473 were shared between the two. By modeling programmed cell death (PCD), cell differentiation and proliferation, and transcriptional activation, we have improved functional annotation of chicken proteins and placed chicken-specific death receptors into the PCD process using phylogenetics. We have identified 114 transcription factors (TFs); 42 of the bursal B cell TFs have not been reported before in any B cells. We have also improved the structural annotation of a newly sequenced genome by confirming the in vivo expression of 4006 "predicted", and 6623 ab initio, ORFs. Finally, we have developed a novel method for facilitating structural annotation, "expressed peptide sequence tags" (ePSTs) and demonstrate its utility by identifying 521 potential novel proteins from the chicken "unassigned chromosome".

Amino Acid Sequence↗

PubMed2006

Effects of subminimum inhibitory concentrations of antibiotics on the Pasteurella multocida proteome.

Subminimum inhibitory concentrations (sub-MICs) of antibiotics can be therapeutically effective, but the underlying molecular mechanisms are not well-characterized. We analyzed the Pasteurella multocida proteome response to sub-MICs of amoxicillin, chlortetracycline, and enrofloxacin using isotope-coded affinity tags (ICAT). There were parallel effects on inhibition of growth kinetics and suppression of protein expression by clusters of orthologous groups (COG) categories. Potential compensatory mechanisms enabling antibiotic adaptation were identified, including increased RecA expression caused by enrofloxacin.

Amoxicillin↗

PubMed2006

Differential immediate-early gene responses to elevated pressure in porcine aortic valve interstitial cells.

BACKGROUND AND AIM OF THE STUDY: Cardiovascular risk factors are believed to play a role in the pathogenesis of aortic valve disease. In the present study the hypothesis was proposed that elevated pressure would cause a change in the expression of prototypical pro-inflammatory genes. Hence, the expression of MCP-1, osteopontin (OPN), VCAM-1, GM-CSF and PAI-1 was examined using semi-quantitative real-time RT-PCR. METHODS: Porcine aortic valve interstitial cells at passage 1 were exposed to constant pressures of 100, 140, or 170 mmHg or cyclic pressures of 80-120, 120-160, or 150-190 mmHg for 2 h. Static cultures at atmospheric pressure served as controls. Total RNA from pooled experiments was isolated for analysis of gene expression. Single tube primer-mediated RT-PCR was performed directly on the RNA. RESULTS: Cells responded differently to constant and cyclic pressure. The most notable response was the expression of OPN, which was significantly up-regulated under steady conditions but down-regulated under cyclic conditions. The opposite was true in VCAM-1 expression, which was significantly down-regulated at 170 mmHg static pressure, but up-regulated at 140 and 170 mmHg mean cyclic pressure. There was no clear proportional correlation between pressure magnitude and expression of MCP-1, GM-CSF, or PAI-1. However, elevated cyclic pressure caused a proportional increase in VCAM-1 expression and a proportional decrease in OPN expression. CONCLUSION: Elevated cyclic pressure is a potent stimulus for the up-regulation of VCAM-1 expression and the down-regulation of OPN expression. This demonstrates an association between hypertension and aortic valve stenosis and calcification. The regulation of the chemotactic genes MCP-1 and GM-CSF is not correlated to a change in compressive forces.

Animals↗

PubMed2005

Proteomic analysis using an unfinished bacterial genome: the effects of subminimum inhibitory concentrations of antibiotics on Mannheimia haemolytica virulence factor expression.

Here we identify, using nonelectrophoretic proteomics, effects of subminimum inhibitory concentrations (subMIC) of two antibiotic preparations, chlortetracycline (CTC), and chlortetracycline-sulfamethazine (CTC + SMZ), on protein expression in the bovine respiratory pathogen Mannheimia haemolytica. The M. haemolytica genome is currently in draft form, and annotation is incomplete. Relying on the principle of gene sequence conservation across species, we used annotated genomes from closely related species to identify, confirm, and functionally annotate 495 M. haemolytica proteins. To conduct quantitative comparative proteomics, we developed a protein quantitation method based on the cross correlation function of the SEQUEST algorithm. When M. haemolytica was cultivated in the presence of 1/4 MIC of CTC and CTC + SMZ, expression of proteins involved in energy production, nucleotide metabolism, translation, and the bacterial stress response (chaperones) were affected. The most notable subMIC effect was a significant decrease in the expression of leukotoxin A, which is an important M. haemolytica virulence factor. Reduction in leukotoxin expression could be one of the molecular mechanisms responsible for the efficacy of these antibiotics against bovine respiratory disease.

Algorithms↗

PubMed2003

Major histocompatibility complex class I is downregulated in Marek's disease virus infected chicken embryo fibroblasts and corrected by chicken interferon.

The major histocompatibility complex (MHC) is a part of the immune system which presents epitopes of intracellular antigens on the cell surface. MHC molecules have receptor-ligand binding affinities with T lymphocytes, permitting the latter to detect foreign intracellular infectious agents. Some pathogens, such as herpesviruses, have developed strategies of evading the host response by MHC. This pressure on the immune system brought, in turn, improvements in the antigen-presenting pathway, for example through the effect of interferon (IFN), which can upregulate MHC expression. The main objective of this work was on the one hand, to determine the abilities of three strains of Marek's disease virus (MDV), a chicken herpesvirus, in interfering with the expression of MHC class I molecules in chicken embryo fibroblasts. On the other hand, we analyzed the ability of IFN to reinstate this important immune capability to the infected cells. Our results show that only an oncogenic serotype 1 strain of MDV (RB1B) was able to markedly decrease MHC class I expression, and that addition of IFN reversed this MDV effect.

Animals↗

PubMed2003

Monocytosis is associated with the onset of leukocyte and viral infiltration of the brain in chickens infected with the very virulent Marek's disease virus strain C12/130.

Marek's disease (MDV) virus is mainly known for the induction of visceral lymphomas and lymphoid infiltration of peripheral nerves. Recently, additional tropism for the central nervous system has been recognised as a distinct feature of disease induced by very virulent MDV isolates. During the analysis of changes in the peripheral blood leukocyte subpopulations in chickens infected with either a virulent (HPRS-16) or a very virulent (C12/130) strain of MDV, we observed a marked monocytosis in chickens infected with C12/130. Perivascular cuffing in brain and mononuclear cell infiltration into the meninges of chickens infected with C12/130 were associated with the appearance of the monocytosis from 6-10 days post-infection. Our results show that a peripheral blood monocytosis may be a contributory factor in establishing or accelerating the severity of mononuclear infiltration into the meninges and perivascular spaces in the brain during infection by very virulent C12/130 strain of MDV.

Animals↗

PubMed2003

Interferon-containing supernatants increase Marek's disease herpesvirus genomes and gene transcription levels, but not virion replication in vitro.

Viruses encounter the innate immune system immediately after infection of the host; specifically, soluble molecules that are both directly lethal and that initiate acquired immunity. Using the oncogenic Marek's disease alpha-herpesvirus (MDV) model, we quantified the effect of a interferon-containing supernatants (ICS), on MDV replication, gene transcription and antigen expression kinetics. We used an established cell culture system and a well-defined virulent MDV (RB-1B). RB-1B was cultured without ICS, or pretreated and then continuously treated with ICS. We compared (i) RB-1B infectivity; (ii) RB-1B growth by microscopy; (iii) numbers of cells expressing RB-1B antigens by flow cytometry; (iv) RB-1B-DNA load per cell by duplex real-time PCR, and (v) gene transcription kinetics for key MDV-life stages by duplex real-time reverse-transcriptase PCR (RT-PCR). ICS inhibited RB-1B infection, completion of productive life cycle and cell-to-cell infection. The numbers of cells expressing glycoprotein B (a kinetically late antigen) greatly decreased, but the numbers of cells expressing pp38 (a kinetically early antigen) decreased only slightly. The two greatest effects were increases in both RB-1B-DNA per infected cell and pp38 mRNA. We propose MDV has evolved to increase specific gene transcription and genome copies per cell to compensate for ICS. We speculate that the bi-directional shared pp38/origin of replication promoter, is central to this mechanism.

Animals↗

PubMed2003

Infection of macrophages by a lymphotropic herpesvirus: a new tropism for Marek's disease virus.

Marek's disease virus (MDV) is classified as an oncogenic lymphotropic herpesvirus of chickens. MDV productively and cytolytically infects B, alphabetaT and gammadeltaT lymphocytes and latently infects T-helper lymphocytes. The aims of this study were to identify whether MDV infects macrophages in vivo and, if so, whether quantitative differences in macrophage infection are associated with MDV strain virulence. Chickens were infected with either virulent MDV (HPRS-16) or 'hypervirulent' MDV (C12/130). Flow cytometry with monoclonal antibodies recognizing MDV pp38 antigen and leukocyte antigens was used to identify MDV lytically infected cells. Macrophages from HPRS-16- and C12/130-infected chickens were pp38(+). It is demonstrated that macrophages are pp38(+) because they are infected and not because they have phagocytosed MDV antigens, as assessed by confocal microscopy using antibodies recognizing MDV antigens of the three herpesvirus kinetic classes: infected cell protein 4 (ICP4, immediate early), pp38 (early) and glycoprotein B (gB, late). Spleen macrophages from MDV-infected chickens were ICP4(+), pp38(+) and gB(+), and ICP4 had nuclear localization denoting infection. Finally, MDV pp38(+) macrophages had high inherent death rates, confirming cytolytic MDV infection, although production of virus particles has not been detected yet. These results have two fundamental implications for understanding MDV pathogenesis: (i) MDV evolved to perturb innate, in addition to acquired, immunity and (ii) macrophages are excellent candidates for transporting MDV to primary lymphoid organs during the earliest stages of pathogenesis.

Animals↗

PubMed2002

Identification of the neoplastically transformed cells in Marek's disease herpesvirus-induced lymphomas: recognition by the monoclonal antibody AV37.

Understanding the interactions between herpesviruses and their host cells and also the interactions between neoplastically transformed cells and the host immune system is fundamental to understanding the mechanisms of herpesvirus oncology. However, this has been difficult as no animal models of herpesvirus-induced oncogenesis in the natural host exist in which neoplastically transformed cells are also definitively identified and may be studied in vivo. Marek's disease (MD) herpesvirus (MDV) of poultry, although a recognized natural oncogenic virus causing T-cell lymphomas, is no exception. In this work, we identify for the first time the neoplastically transformed cells in MD as the CD4(+) major histocompatibility complex (MHC) class I(hi), MHC class II(hi), interleukin-2 receptor alpha-chain-positive, CD28(lo/-), phosphoprotein 38-negative (pp38(-)), glycoprotein B-negative (gB(-)), alphabeta T-cell-receptor-positive (TCR(+)) cells which uniquely overexpress a novel host-encoded extracellular antigen that is also expressed by MDV-transformed cell lines and recognized by the monoclonal antibody (MAb) AV37. Normal uninfected leukocytes and MD lymphoma cells were isolated directly ex vivo and examined by flow cytometry with MAb recognizing AV37, known leukocyte antigens, and MDV antigens pp38 and gB. CD28 mRNA was examined by PCR. Cell cycle distribution and in vitro survival were compared for each lymphoma cell population. We demonstrate for the first time that the antigen recognized by AV37 is expressed at very low levels by small minorities of uninfected leukocytes, whereas particular MD lymphoma cells uniquely express extremely high levels of the AV37 antigen; the AV37(hi) MD lymphoma cells fulfill the accepted criteria for neoplastic transformation in vivo (protection from cell death despite hyperproliferation, presence in all MD lymphomas, and not supportive of MDV production); the lymphoma environment is essential for AV37(+) MD lymphoma cell survival; pp38 is an antigen expressed during MDV-productive infection and is not expressed by neoplastically transformed cells in vivo; AV37(+) MD lymphoma cells have the putative immune evasion mechanism of CD28 down-regulation; AV37(hi) peripheral blood leukocytes appear early after MDV infection in both MD-resistant and -susceptible chickens; and analysis of TCR variable beta chain gene family expression suggests that MD lymphomas have polyclonal origins. Identification of the neoplastically transformed cells in MD facilitates a detailed understanding of MD pathogenesis and also improves the utility of MD as a general model for herpesvirus oncology.

Animals↗

PubMedDate not supplied

Differential detergent fractionation for non-electrophoretic eukaryote cell proteomics.

Differential detergent fractionation (DDF), which relies on detergents to sequentially extract proteins from eukaryotic cells, has been used to increase proteome coverage of 2D-PAGE. Here, we used DDF extraction in conjunction with the nonelectrophoretic proteomics method of liquid chromatography and electrospray ionization tandem mass spectrometry. We demonstrate that DDF can be used with 2D-LC ESI MS2 for comprehensive cellular proteomics, including a large proportion of membrane proteins. Compared to some published methods designed to isolate membrane proteins specifically, DDF extraction yields comprehensive proteomes which include twice as many membrane proteins. Two-thirds of these membrane proteins have more than one trans-membrane domain. Since DDF separates proteins based upon their physicochemistry and subcellular localization, this method also provides data useful for functional genome annotation. As more genome sequences are completed, methods which can aid in functional annotation will become increasingly important.

Animals↗