Modeling human development and disease in Xenopus. Preface.
Modeling human development and disease in Xenopus. Preface.
复制标题
在非洲爪蟾中模拟人类发育和疾病。
DOI:
10.1016/j.ydbio.2015.11.019
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发表时间:
2015
影响因子:
2.7
通讯作者:
Zorn,AaronM
中科院分区:
文献类型:
--
作者:
LaBonne,Carole;Zorn,AaronM
Xenopus has long been a powerful and important animal model for investigating fundamental questions in developmental and cell biology due to the unique experimental advantages of this system. Not surprisingly, studies in Xenopus are increasingly also making important contributions to our understanding of human health and disease. Xenopus embryos develop rapidly and have broad strengths as an experimental platform. Importantly, Xenopus also bridges the gap between more costly and less tractable mammalian models and the evolutionarily more distant zebrafish model, and as such it is uniquely positioned to inform conserved biological processes relevant to human health. This Special Issue highlights a number of these research areas with reviews and original research papers.This is an exciting and transformative time in biomedical research. Rapid advances in proteomics, genomics and genome editing are enabling analyses of development, cellular function and disease on an unprecedented scale. While Xenopus has frequently been the model of choice for vertebrate studies requiring biochemical approaches and mechanistic depth, it is also ideally suited to systems-level analysis, functional genomics and human disease modeling. Such studies have been facilitated by the development of important resources supporting work in this model, including the establishment of the National Xenopus Resource (NXR) in Woods Hole, MA (to complement the European Xenopus Resource Center and the National BioResource Project of Japan), the increasingly well annotated genomes for both Xenopus laevis and Xenopus tropicalis, and the continued development of the online system resource and bioinformatics database Xenbase (http://xenbase. org), including the addition of invaluable transcriptome and proteomic datasets. Notably, in this issue Grant et al. report the establishment of an important new resource, the