Medical Journals

Automated Cell Lineage Tracing in Caenorhabditis Elegans.

Authors:
  • Bao Zhirong
  • Murray John I
  • Boyle Thomas
  • Ooi Siew Loon
  • Sandel Matthew J
  • Waterston Robert H

From: Department of Genome Sciences, University of Washington, WA 98195, USA.

Proceedings of the National Academy of Sciences of the United States of America

  • Publish Date: Feb 2006
  • ISSN: 0027-8424
  • Volume: 103
  • Issue: 8
  • Pages: 2707-12
  • Medium: Print
  • Language: English
  • Citation (JAMA): Bao Zhirong, Murray John I, Boyle Thomas, et al. Automated Cell Lineage Tracing in Caenorhabditis Elegans.. Proc. Natl. Acad. Sci. U.S.A. Feb 2006;103:2707-12

Abstract

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 microm 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.

Mesh Headings (Keywords): Animals, Automatic Data Processing, Caenorhabditis elegans, Cell Lineage, Green Fluorescent Proteins, Histones, Microscopy, Fluorescence, Recombinant Fusion Proteins


Check for Full Text / PubMed Unique Identifier (PMID): 16477039


This abstract is part of PubMed, a service of the U.S. National Library of Medicine. PubMed includes more than 17 million citations from MEDLINE and other life science journals for biomedical articles. See Copyright and Disclaimers.

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The data herein was last updated on July 8th, 2008 and may not reflect the most current and accurate data available from NLM.


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