Automated cell lineage tracing in Caenorhabditis elegans

被引:261
作者
Bao, ZR
Murray, JI
Boyle, T
Ooi, SL
Sandel, MJ
Waterston, RH [1 ]
机构
[1] Univ Washington, Dept Genome Sci, Seattle, WA 98195 USA
[2] Fred Hutchinson Canc Res Ctr, Div Basic Sci, Seattle, WA 98105 USA
关键词
embryogenesis; imaging; image analysis algorithms;
D O I
10.1073/pnas.0511111103
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The invariant cell lineage and cell fate of Caenorhabditis elegans provide a unique opportunity to decode the molecular mechanisms of animal development. To exploit this opportunity, we have developed a system for automated cell lineage tracing during C elegans embryogenesis, based on 3D, time-lapse imaging and automated image analysis, Using ubiquitously expressed histone-GFP fusion protein to label cells/nuclei and a confocal microscope, the imaging protocol captures embryogenesis at high spatial (31 planes at 1 mu m apart) and temporal (every minute) resolution without apparent effect! on development. A set of image analysis algorithms then automatically recognizes cells at each time point, tracks cell movements, divisions and deaths over time and assigns cell identities based on the canonical naming scheme. Starting from the four-cell stage (or earlier), our software, named STARRYNITE, can trace the lineage up to the 350-cell stage in 25 min on a desktop computer. The few errors of automated lineaging can then be corrected in a few hours with a graphic interface that allows easy navigation of the images and the reported lineage tree. The system can be used to characterize lineage phenotypes of genes and/or extended to determine gene expression patterns in a living embryo at the single-cell level. We envision that this automation will make it practical to systematically decipher the developmental genes and pathways encoded in the genome of C elegans.
引用
收藏
页码:2707 / 2712
页数:6
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