Web-based method for translating neurodevelopment from laboratory species to humans

Web-based method for translating neurodevelopment from laboratory species to humans
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DOI:
10.1385/ni:5:1:79
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发表时间:
2007-01-01
期刊:
影响因子:
3
通讯作者:
Finlay, Barbara L.
Finlay, Barbara L.
中科院分区:
医学4区
文献类型:
--
作者:
Clancy, Barbara;Kersh, Brandon;Finlay, Barbara L.

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生物医学研究人员和医学专业人员经常需要比较从各种各样的哺乳动物那里获得的大量神经发育文献,这些哺乳动物的大脑发育速度不同,包括快速发育的实验啮齿动物和发育较慢的人类。在本文中,我们介绍了一个数据库驱动的网站,该网站是为了解决这个问题而创建的,该网站使用基于统计的算法来整合数百个经验推导的10种哺乳动物物种的发展神经事件(http://translatingtime.net/)。该网站基于一个在过去十年中不断发展的统计模型,目前包含了来自10个物种的102种不同的神经发育事件:仓鼠、小鼠、大鼠、兔子、刺鼠、豚鼠、雪貂、猫、恒河猴和人类。数据被安排在结构化查询语言数据库中,使用超文本预处理语言,可以实时转换和访问怀孕后大脑发育的比较。应用于数据库的算法还允许预测无法获得经验数据的特定神经发育事件的日期,包括人类胚胎和胎儿。通过设计一个基于网络的门户网站,我们试图使这些比较数据容易地提供给所有那些需要有效地估计人类胎儿、实验室物种或几个不同物种神经发育事件时间的人。为了进一步完善和扩展该数据库的适用性,我们加入了一个提交额外数据的机制。
Biomedical researchers and medical professionals are regularly required to compare a vast quantity of neurodevelopmental literature obtained from an assortment of mammals whose brains grow at diverse rates, including fast developing experimental rodent species and slower developing humans. In this article, we introduce a database-driven website, which was created to address this problem using statistical-based algorithms to integrate hundreds of empirically derived developing neural events in 10 mammalian species (http://translatingtime.net/). The site, based on a statistical model that has evolved over the past decade, currently incorporates 102 different neurodevelopmental events obtained from 10 species: hamsters, mice, rats, rabbits, spiny mice, guinea pigs, ferrets, cats, rhesus monkeys, and humans. Data are arranged in a Structured Query Language database, which allows comparative brain development measured in postconception days to be converted and accessed in real time, using Hypertext Preprocessor language. Algorithms applied to the database also allow predictions for dates of specific neurodevelopmental events where empirical data are not available, including for the human embryo and fetus. By designing a web-based portal, we seek to make these comparative data readily available to all those who need to efficiently estimate the timing of neurodevelopmental events in the human fetus, laboratory species, or across several different species. In an effort to further refine and expand the applicability of this database, we include a mechanism to submit additional data.