Studying the immune response to human viral infections using zebrafish.
Studying the immune response to human viral infections using zebrafish.
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DOI：
10.1016/j.dci.2014.03.025
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发表时间：
2014-09
影响因子：
2.9
通讯作者：
Kim, Carol H.
中科院分区：
文献类型：
--
作者：
Goody, Michelle F.;Sullivan, Con;Kim, Carol H.
人类和病毒有着悠久的共同进化历史。病毒性疾病已经并将继续塑造人类历史：从天花到流感，再到艾滋病毒，等等。为了产生安全有效的抗病毒药物、辅助疗法和疫苗，需要人类病毒性疾病的动物模型。这些动物模型必须支持人类病毒的复制，重现人类病毒性疾病的各个方面，并以保守的免疫信号级联反应。斑马鱼也许是最简单的，最常用的实验室模式生物，其中先天性和/或适应性免疫可以研究。在此，我们将讨论目前人类病毒性疾病的斑马鱼模型及其提供的见解。我们将强调早期生命阶段斑马鱼的优势和先天免疫在人类病毒性疾病中的重要性。我们还将讨论在用人类病毒感染斑马鱼之前要考虑的病毒特征，以及预测可能能够感染斑马鱼的其他人类病毒。
Humans and viruses have a long co-evolutionary history. Viral illnesses have and will continue to shape human history: from smallpox, to influenza, to HIV, and beyond. Animal models of human viral illnesses are needed in order to generate safe and effective antiviral medicines, adjuvant therapies, and vaccines. These animal models must support the replication of human viruses, recapitulate aspects of human viral illnesses, and respond with conserved immune signaling cascades. The zebrafish is perhaps the simplest, most commonly used laboratory model organism in which innate and/or adaptive immunity can be studied. Herein, we will discuss the current zebrafish models of human viral illnesses and the insights they have provided. We will highlight advantages of early life stage zebrafish and the importance of innate immunity in human viral illnesses. We will also discuss viral characteristics to consider before infecting zebrafish with human viruses as well as predict other human viruses that may be able to infect zebrafish.
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DOI：
10.1093/infdis/jiq042
发表时间：
2011-01-15
期刊：
The Journal of infectious diseases
影响因子：
--
作者：
Chow A;Her Z;Ong EK;Chen JM;Dimatatac F;Kwek DJ;Barkham T;Yang H;Rénia L;Leo YS;Ng LF
通讯作者：
Ng LF
影响因子：
6.7
作者：
Brothers KM;Gratacap RL;Barker SE;Newman ZR;Norum A;Wheeler RT
通讯作者：
Wheeler RT
影响因子：
2.9
作者：
Da'as, Sahar;Teh, Evelyn M.;Berman, Jason N.
通讯作者：
Berman, Jason N.
影响因子：
2.7
作者：
Davison, Jon M.;Akitake, Courtney M.;Parsons, Michael J.
通讯作者：
Parsons, Michael J.
影响因子：
20.3
作者：
Balla, Keir M.;Lugo-Villarino, Geanncarlo;Traver, David
通讯作者：
Traver, David