Live imaging of fluorescent proteins in chordate embryos: From ascidians to mice

被引:24
作者
Passamaneck, YJ
Di Gregorio, A
Papaioannou, VE
Hadjantonakis, AK [1 ]
机构
[1] Sloan Kettering Inst, Dev Biol Program, New York, NY 10021 USA
[2] Cornell Univ, Weill Med Coll, Dept Cell & Dev Biol, New York, NY 10021 USA
[3] Columbia Univ Coll Phys & Surg, Dept Genet & Dev, New York, NY 10032 USA
关键词
fluorescent proteins; GFP; DsRed; imaging; confocal; transgenic embryo; mouse; embryonic stem cells; ascidian; ciona;
D O I
10.1002/jemt.20284
中图分类号
R602 [外科病理学、解剖学]; R32 [人体形态学];
学科分类号
100101 ;
摘要
Although we have advanced in our understanding of the molecular mechanisms intrinsic to the morphogenesis of chordate embryos, the question of how individual developmental events are integrated to generate the final morphological form is still unresolved. Microscopic observation is a pivotal tool in developmental biology, both for determining the normal course of events and for contrasting this with the results of experimental and pathological perturbations. Since embryonic development takes place in three dimensions over time, to fully understand the events required to build an embryo we must investigate embryo morphogenesis in multiple dimensions in situ. Recent advances in the isolation of naturally fluorescent proteins, and the refinement of techniques for in vivo microscopy offer unprecedented opportunities to study the cellular and molecular events within living, intact embryos using optical imaging. These technologies allow direct visual access to complex events as they happen in their native environment, and thus provide greater insights into cell behaviors operating during embryonic development. Since most fluorescent protein probes and modes of data acquisition are common across species, we have chosen the mouse and the ascidian, two model organisms at opposite ends of the chordate clade, to review the use of some of the current genetically-encoded fluorescent proteins and their visualization in vivo in living embryos for the generation of high-resolution imaging data.
引用
收藏
页码:160 / 167
页数:8
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