Dissecting the Signaling Network for Ah Receptor-mediated B-cell Toxicity

剖析 Ah 受体介导的 B 细胞毒性的信号网络

• 批准号: 7466399
• 负责人: Russell S Thomas
• 金额: $ 28.52万
• 依托单位: MICHIGAN STATE UNIVERSITY
• 依托单位国家: 美国
• 资助国家: 美国
• 起止时间: 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/7466399
• 关键词: Agonist; Antigens; Aryl Hydrocarbon Receptor; B Cell Proliferation; B cell differentiation; B-Cell Activation; B-Lymphocytes; Behavior; Binding Sites; Bioinformatics; Biological; Cell Line; Cells; Cellular Structures; Combined Modality Therapy; Communities; Complex; Computer Simulation; Consensus; Data; Development; Dioxins; Dose; Elements; End Point; Enhancers; Environmental Health; Environmental Pollution; Evaluation; Event; Excision; Exposure to; Frequencies; Gene Expression; Genes; Genetic Transcription; Genome; Genomics; Hazardous Substances; Health; Immune response; Immunoglobulin M; Immunosuppression; Individual; J-Chain Immunoglobulins; Laboratories; Light; Lipopolysaccharides; Logic; Measurement; Mediating; Modeling; Molecular; Mus; Nuclear; Nucleic Acid Regulatory Sequences; Pathway interactions; Play; Poison; Positioning Attribute; Principal Investigator; Process; Production; Protein Interaction Mapping; Protein-Protein Interaction Map; Proteins; Publishing; Regulator Genes; Response Elements; Reverse Transcriptase Polymerase Chain Reaction; Risk; Role; Signal Transduction; Small RNA; Structure; Surveys; System; Testing; Tetrachlorodibenzodioxin; Therapeutic immunosuppression; Time; Toxic effect; Transcript; Transcriptional Regulation; aryl hydrocarbon receptor ligand; base; cell dedifferentiation; computational network modeling; computerized tools; design; disease registry; exposed human population; immunotoxicity; in vivo; innovation; macromolecule; prevent; programs; prototype; receptor; response; role model; superfund site; tool; transcription factor

A comprehensive evaluation of human exposure pathways at Superfund sites reveals that contaminants functioning as Ahr agonists present a significant risk to surrounding residents and immunological effects are one of the least studied toxciological end points. The primary objectives of this project are two-fold: (1) dissect the gene expression cascade involved in suppression of B-cell activation and IgM secretion following exposure to Ahr agonists; (2) combine information on the gene expression cascade with a comprehensive survey of protein interactions and focused molecular experimentation to create an integrated, systems-level model of the role of Ahr in the B-cell differentiation signaling network. We hypothesize that multiple nodes in the B-cell differentiation network are regulated by the Ahr. By dissecting the interrelationships within the gene expression cascade together with a comprehensive protein interaction map, we will be able to mechanistically model the dose-response behavior for Ahr B-cell immunotoxicity. This hypothesis will be tested using a unique combination of genomic and computational tools that dissect the transcriptional cascades following exposure to an Ahr agonist and infer the corresponding structure of the cellular signaling network for computational modeling. The specific aims of this proposal are: (1) identify Ahr-dependent alterations in the B-cell gene expression cascade following activation with LPS and exposure to the prototype Ahr agonist TCDD; (2) characterize the direct, cis-acting effects of Ahr activation on primary changes in gene expression in the B-cell differentiation cascade; (3) delineate the interrelationships between primary gene expression events and secondary and tertiary gene expression changes for Ahr-mediated alterations in B-cell differentiation; and (4) combine information on the Ahr-regulated B-cell gene expression cascade with a comprehensive survey of protein interactions and focused molecular experimentation to create an integrated, systems-level computational model of the Ahr and B-cell differentiation signaling network. Through these specific aims, we will develop a systems-level approach will provide a quantitative and mechanistic understanding of the cellular signaling network involved in the suppression of B-cell differentiation by Ahr agonists. Specifically, genomic tools will provide snapshots into transcriptional responses and functional relationships between genes in the B-cell differentiation pathway, while computational modeling will be used to provide a quantitative biological structure to the signaling network. The development of a systems approach is significant for the environmental health community as a whole by providing a mechanism to systematically investigate the cause-and-effect relationships contained within the lists of altered genes and the underlying logic of the signaling network involved in producing the toxicological effect at environmentally relevant doses.

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