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1.
Nucleic Acids Res ; 40(Database issue): D593-8, 2012 Jan.
Article in English | MEDLINE | ID: mdl-22006842

ABSTRACT

The Virus Pathogen Database and Analysis Resource (ViPR, www.ViPRbrc.org) is an integrated repository of data and analysis tools for multiple virus families, supported by the National Institute of Allergy and Infectious Diseases (NIAID) Bioinformatics Resource Centers (BRC) program. ViPR contains information for human pathogenic viruses belonging to the Arenaviridae, Bunyaviridae, Caliciviridae, Coronaviridae, Flaviviridae, Filoviridae, Hepeviridae, Herpesviridae, Paramyxoviridae, Picornaviridae, Poxviridae, Reoviridae, Rhabdoviridae and Togaviridae families, with plans to support additional virus families in the future. ViPR captures various types of information, including sequence records, gene and protein annotations, 3D protein structures, immune epitope locations, clinical and surveillance metadata and novel data derived from comparative genomics analysis. Analytical and visualization tools for metadata-driven statistical sequence analysis, multiple sequence alignment, phylogenetic tree construction, BLAST comparison and sequence variation determination are also provided. Data filtering and analysis workflows can be combined and the results saved in personal 'Workbenches' for future use. ViPR tools and data are available without charge as a service to the virology research community to help facilitate the development of diagnostics, prophylactics and therapeutics for priority pathogens and other viruses.


Subject(s)
Databases, Genetic , Viruses/genetics , Computational Biology , Genes, Viral , Phylogeny , Sequence Alignment , Sequence Analysis , Software , Viral Proteins/chemistry , Viruses/classification
2.
Cytometry B Clin Cytom ; 78 Suppl 1: S69-82, 2010.
Article in English | MEDLINE | ID: mdl-20839340

ABSTRACT

BACKGROUND: Advances in multiparameter flow cytometry (FCM) now allow for the independent detection of larger numbers of fluorochromes on individual cells, generating data with increasingly higher dimensionality. The increased complexity of these data has made it difficult to identify cell populations from high-dimensional FCM data using traditional manual gating strategies based on single-color or two-color displays. METHODS: To address this challenge, we developed a novel program, FLOCK (FLOw Clustering without K), that uses a density-based clustering approach to algorithmically identify biologically relevant cell populations from multiple samples in an unbiased fashion, thereby eliminating operator-dependent variability. RESULTS: FLOCK was used to objectively identify seventeen distinct B-cell subsets in a human peripheral blood sample and to identify and quantify novel plasmablast subsets responding transiently to tetanus and other vaccinations in peripheral blood. FLOCK has been implemented in the publically available Immunology Database and Analysis Portal-ImmPort (http://www.immport.org)-for open use by the immunology research community. CONCLUSIONS: FLOCK is able to identify cell subsets in experiments that use multiparameter FCM through an objective, automated computational approach. The use of algorithms like FLOCK for FCM data analysis obviates the need for subjective and labor-intensive manual gating to identify and quantify cell subsets. Novel populations identified by these computational approaches can serve as hypotheses for further experimental study.


Subject(s)
B-Lymphocyte Subsets/pathology , Diphtheria-Tetanus Vaccine/immunology , Flow Cytometry/methods , Immunophenotyping/methods , Adult , Aged , Algorithms , B-Lymphocyte Subsets/classification , B-Lymphocyte Subsets/immunology , Cluster Analysis , Computational Biology/methods , Diphtheria-Tetanus Vaccine/administration & dosage , Female , Humans , Image Processing, Computer-Assisted , Male , Middle Aged , Pattern Recognition, Automated , Vaccination/methods , Young Adult
3.
J Immunol ; 185(1): 335-44, 2010 Jul 01.
Article in English | MEDLINE | ID: mdl-20505140

ABSTRACT

The second messenger cAMP plays a critical role in regulating immune responses. Although well known for its immunosuppressive effect, cAMP is also required for the development of optimal immune responses. Thus, the regulation of this second messenger needs to be finely tuned and well balanced in a context dependent manner. To further understand the role of cAMP synthesis in the functions of the immune system, we focus on a specific adenylyl cyclase (AC) isoform, AC VII (AC7), which is highly expressed in the immune system. We show that mice deficient of AC7 are hypersensitive to LPS-induced endotoxic shock. Macrophages from AC7-deficient mice produce more of the proinflammatory cytokine, TNF-alpha, in response to LPS. The inability to generate intracellular cAMP response to serum factors, such as lysophosphatidic acid, is a potential cause for this phenotype. Thus, AC7 functions to control the extent of immune responses toward bacterial infection. However, it is also required for the optimal functions of B and T cells during adaptive immune responses. AC7 is the major isoform that regulates cAMP synthesis in both B and T cells. AC7-deficient mice display compromised Ab responses toward both T cell-independent and T cell-dependent Ags. The generation of memory T cells is also reduced. These results are the first to ascribe specific functions to an AC isoform in the immune system and emphasize the importance of cAMP synthesis by this isoform in shaping the immune responses.


Subject(s)
Adaptive Immunity , Adenylyl Cyclases/physiology , Immunity, Innate , Adenylyl Cyclases/deficiency , Adenylyl Cyclases/genetics , Animals , Antibodies, Bacterial/biosynthesis , B-Lymphocyte Subsets/enzymology , B-Lymphocyte Subsets/immunology , B-Lymphocyte Subsets/metabolism , Cyclic AMP/biosynthesis , Cyclic AMP/physiology , Female , Inflammation Mediators/physiology , Isoenzymes/deficiency , Isoenzymes/genetics , Isoenzymes/physiology , Male , Mice , Mice, Inbred BALB C , Mice, Inbred C57BL , Mice, Knockout , Retroviridae/immunology , Shock, Septic/enzymology , Shock, Septic/immunology , T-Lymphocyte Subsets/enzymology , T-Lymphocyte Subsets/immunology , T-Lymphocyte Subsets/metabolism
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