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Monkeypox (MPXV) and cowpox (CPXV) are emerging agents that cause severe human infections on an intermittent basis, and variola virus (VARV) has potential for use as an agent of bioterror. Vaccinia immune globulin (VIG) has been used therapeutically to treat severe orthopoxvirus infections but is in short supply. We generated a large panel of orthopoxvirus-specific human monoclonal antibodies (Abs) from immune subjects to investigate the molecular basis of broadly neutralizing antibody responses for diverse orthopoxviruses. Detailed analysis revealed the principal neutralizing antibody specificities that are cross-reactive for VACV, CPXV, MPXV, and VARV and that are determinants of protection in murine challenge models. Optimal protection following respiratory or systemic infection required a mixture of Abs that targeted several membrane proteins, including proteins on enveloped and mature virion forms of virus. This work reveals orthopoxvirus targets for human Abs that mediate cross-protective immunity and identifies new candidate Ab therapeutic mixtures to replace VIG.
Pubmed ID: 27768891 RIS Download
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Statistical analysis software that combines scientific graphing, comprehensive curve fitting (nonlinear regression), understandable statistics, and data organization. Designed for biological research applications in pharmacology, physiology, and other biological fields for data analysis, hypothesis testing, and modeling.
View all literature mentionsA high-quality integrated knowledge resource specialized in the immunoglobulins (IG) or antibodies, T cell receptors (TR), major histocompatibility complex (MHC) of human and other vertebrate species, and in the immunoglobulin superfamily (IgSF), MHC superfamily (MhcSF) and related proteins of the immune system (RPI) of vertebrates and invertebrates, serving as the global reference in immunogenetics and immunoinformatics. IMGT provides a common access to sequence, genome and structure Immunogenetics data, based on the concepts of IMGT-ONTOLOGY and on the IMGT Scientific chart rules. IMGT works in close collaboration with EBI (Europe), DDBJ (Japan) and NCBI (USA). IMGT consists of sequence databases, genome database, structure database, and monoclonal antibodies database, Web resources and interactive tools.
View all literature mentionsThis monoclonal targets Human IgG4 myeloma protein
View all literature mentionsThis monoclonal targets Human IgG3 myeloma protein
View all literature mentionsThis monoclonal targets Human IgG1 Hinge
View all literature mentionsThis monoclonal targets Human IgG2 myeloma protein
View all literature mentionsThis monoclonal targets IgG
View all literature mentionsThis polyclonal targets Human IgG (Fc)
View all literature mentionsMus musculus with name C57BL/6J from IMSR.
View all literature mentionsMus musculus with name CBySmn.Cg-Prkdcscid/J from IMSR.
View all literature mentionsCell line BSC40 is a Spontaneously immortalized cell line with a species of origin Chlorocebus pygerythrus (Vervet monkey)
View all literature mentionsCell line RK 13 is a Spontaneously immortalized cell line with a species of origin Oryctolagus cuniculus
View all literature mentionsCell line Vero is a Spontaneously immortalized cell line with a species of origin Chlorocebus sabaeus
View all literature mentionsCell line Vero C1008 is a Spontaneously immortalized cell line with a species of origin Chlorocebus sabaeus
View all literature mentionsIndustry standard microarray image analysis software because of its unique combination of imaging and analysis tools, visualizations, automation capabilities, performance and intuitive workflows.
View all literature mentionsTHIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 5,2022.Tool that predicts interactions between transcription factors and their regulated genes from binding motifs. Understanding vertebrate development requires unraveling the cis-regulatory architecture of gene regulation. PRISM provides accurate genome-wide computational predictions of transcription factor binding sites for the human and mouse genomes, and integrates the predictions with GREAT to provide functional biological context. Together, accurate computational binding site prediction and GREAT produce for each transcription factor: 1. putative binding sites, 2. putative target genes, 3. putative biological roles of the transcription factor, and 4. putative cis-regulatory elements through which the factor regulates each target in each functional role.
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