Symposium on Data Integration from the Monkey Model of Alcohol Drinking

描述（由申请人提供）：会议的主要目标是定制一个信息平台，以产生多器官系统长期适应慢性，过量，自愿酒精自我管理的新知识，以了解这些适应对不良生物医学结果的动态贡献。我们将通过汇集合作并使用猴子酒精组织研究资源（www.MATRR.com）和酒精中毒综合神经科学倡议（INIA）中的资源的科学家来实现这一目标：压力，焦虑和过量酒精（www.INIAstress.org）。迄今为止在组织上生成的数据集是跨学科和跨机构的，但都具有相同的酒精自我管理程序，相同的前因和后续纵向基因组，内分泌，成像和行为协议的共同因素。事实上，酒精自我给药的猴子模型已经产生了新的数据，用于假设检验酒精消费的风险和后果，并有助于双向弥合啮齿动物和人类研究之间的差距。研讨会将重点讨论两种猴子（食蟹猴和恒河猴）的数据集，特别是过去三年不同学科数据的快速增长。会议的成果之一是进一步了解用户如何开发一个信息系统，该系统可以接受许多学科和实验方案的总结实验结果，以整合基因组，遗传和表型信息的分析，并全面了解风险因素，酒精暴露和不良生物医学结果的动态相互作用。遗传学家、分子生物学家、神经生理学家、内分泌学家、免疫学家、骨病理学家、体内成像学家和行为学家聚集在一起参加为期两天的会议，将有效地实现这一目标。

DESCRIPTION (provided by applicant): The primary goal of the conference is to customize an informatic platform to produce new knowledge in the long-term adaptation of multiple organ systems to chronic, excessive, voluntary alcohol self-administration in order to understand the dynamic contributions of these adaptations to adverse biomedical outcomes. We will accomplish this goal by bringing together scientists that have collaborated and used the resources within the Monkey Alcohol Tissue Research Resource (www.MATRR.com) and the Integrative Neuroscience Initiative on Alcoholism (INIA): Stress, anxiety and excessive alcohol (www.INIAstress.org). The data sets that have been generated on the tissue to date are cross-disciplinary and cross-institutional, but all have the common factor of the same alcohol self-administration procedure, same antecedent and subsequent longitudinal genomic, endocrine, imaging and behavioral protocols. Indeed, the monkey model of alcohol self-administration has produced novel data for hypothesis testing relating the risk for and consequences of alcohol consumption and serve to bi-directionally bridge the gap between rodent and human studies. The symposium will focus on datasets generated from two species of monkeys (cynomolgus and rhesus macaques), particularly the rapid expansion of the data from different disciplines in the past 3 years. An outcome of the meeting will be to further understand from the users how to develop an informatics system that can accept summarized experimental outcomes across many disciplines and experimental protocols in order to integrate the analysis of genomic, genetic and phenotypic information and produce a comprehensive picture of dynamic interactions of risk factors, alcohol exposure, and adverse biomedical outcome. The gathering of geneticists, molecular biologists, neurophysiologists, endocrinologists, immunologists, osteopathologists, in vivo imagers, and behaviorists for a two day meeting will efficiently accomplish this goal.