Aquatic models, genomics and chemical risk management.
Aquatic models, genomics and chemical risk management.
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水生模型，基因组学和化学风险管理。
DOI：
10.1016/j.cbpc.2011.06.009
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发表时间：
2012-01
影响因子：
3.9
通讯作者：
Planchart, Antonio
中科院分区：
文献类型：
--
作者：
Cheng, Keith C.;Hinton, David E.;Mattingly, Carolyn J.;Planchart, Antonio
第五届人类疾病水生动物模型会议是在前四次会议之后举行的，会议报告了人类疾病研究水生动物模型的进展，并对未来方向进行了社区讨论。在这次会议上，讨论了题为生物信息学和计算生物学与基于网络的资源（2010年9月20日）得出了一个重要结论：使用野生和实验鱼的水生模型研究，结合基于网络的注释解剖图谱和毒理学数据库访问，产生的数据促进了我们对人类基因功能的理解，并可用于促进环境管理和药物开发。我们在这里提出，基因和环境的影响最好在解剖学背景下-在整个动物的特定受影响的细胞和器官。我们设想使用高性能计算和自动进入毒理学数据库，作为遗传和毒理学数据的锚点，并作为人类和模型系统数据之间的连接器，在细胞分辨率和计算形态学的自动化，全动物成像。这些原则应适用于实验室鱼类和野生鱼类种群，它们实际上是导致人类发病和死亡的环境污染的不可替代的哨兵。我们的结论是，自动化，数据库生成和基于网络的可访问性，促进基因组/转录组数据和高性能和云计算，将加强独特的和潜在的关键作用，水生模型在推进系统生物学，药物开发和环境风险管理。
The 5th Aquatic Animal Models for Human Disease meeting follows four previous meetings in which advances in aquatic animal models for human disease research were reported, and community discussion of future direction was pursued. At this meeting, discussion at a workshop entitled Bioinformatics and Computational Biology with Web-based Resources (20 September 2010) led to an important conclusion: Aquatic model research using feral and experimental fish, in combination with web-based access to annotated anatomical atlases and toxicological databases, yield data that advance our understanding of human gene function, and can be used to facilitate environmental management and drug development. We propose here that the effects of genes and environment are best appreciated within an anatomical context - the specifically affected cells and organs in the whole animal. We envision the use of automated, whole-animal imaging at cellular resolution and computational morphometry facilitated by high-performance computing and automated entry into toxicological databases, as anchors for genetic and toxicological data, and as connectors between human and model system data. These principles should be applied to both laboratory and feral fish populations, which have been virtually irreplaceable sentinals for environmental contamination that results in human morbidity and mortality. We conclude that automation, database generation, and web-based accessibility, facilitated by genomic/transcriptomic data and high-performance and cloud computing, will potentiate the unique and potentially key roles that aquatic models play in advancing systems biology, drug development, and environmental risk management.
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影响因子：
3.5
作者：
Mattingly, Carolyn J.
通讯作者：
Mattingly, Carolyn J.
DOI：
10.1016/j.cbpc.2011.05.010
发表时间：
2012-01-01
影响因子：
3.9
作者：
Cheung, Napo K. M.;Hinton, David E.;Au, Doris W. T.
通讯作者：
Au, Doris W. T.
影响因子：
4.4
作者：
Jeffery, CJ
通讯作者：
Jeffery, CJ
影响因子：
10.4
作者：
Judson R;Richard A;Dix DJ;Houck K;Martin M;Kavlock R;Dellarco V;Henry T;Holderman T;Sayre P;Tan S;Carpenter T;Smith E
通讯作者：
Smith E
影响因子：
14.9
作者：
Davis AP;King BL;Mockus S;Murphy CG;Saraceni-Richards C;Rosenstein M;Wiegers T;Mattingly CJ
通讯作者：
Mattingly CJ