You are not currently logged in.
Access JSTOR through your library or other institution:
If You Use a Screen ReaderThis content is available through Read Online (Free) program, which relies on page scans. Since scans are not currently available to screen readers, please contact JSTOR User Support for access. We'll provide a PDF copy for your screen reader.
Automated Cell Lineage Tracing in Caenorhabditis elegans
Zhirong Bao, John I. Murray, Thomas Boyle, Siew Loon Ooi, Matthew J. Sandel and Robert H. Waterston
Proceedings of the National Academy of Sciences of the United States of America
Vol. 103, No. 8 (Feb. 21, 2006), pp. 2707-2712
Published by: National Academy of Sciences
Stable URL: http://www.jstor.org/stable/30049477
Page Count: 6
You can always find the topics here!Topics: Embryos, Cell lines, Pixels, Embryogenesis, Imaging, Signals, Cell division, Cell nucleus, Daughter cells, Somatic cells
Were these topics helpful?See something inaccurate? Let us know!
Select the topics that are inaccurate.
Since scans are not currently available to screen readers, please contact JSTOR User Support for access. We'll provide a PDF copy for your screen reader.
Preview not available
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 histoneGFP fusion protein to label cells/nuclei and a confocal microscope, the imaging protocol captures embryogenesis at high spatial (31 planes at 1 μm apart) and temporal (every minute) resolution without apparent effects 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.
Proceedings of the National Academy of Sciences of the United States of America © 2006 National Academy of Sciences