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High-throughput analysis of spatio-temporal dynamics in Dictyostelium

Satoshi Sawai12*, Xiao-Juan Guan1, Adam Kuspa3 and Edward C Cox1

Author Affiliations

1 Department of Molecular Biology, Princeton University, Princeton, NJ 08544, USA

2 ERATO Complex Systems Biology Project, JST, Tokyo 153-8902, Japan

3 Departments of Biochemistry and Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA

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Genome Biology 2007, 8:R144  doi:10.1186/gb-2007-8-7-r144

Published: 21 July 2007


We demonstrate a time-lapse video approach that allows rapid examination of the spatio-temporal dynamics of Dictyostelium cell populations. Quantitative information was gathered by sampling life histories of more than 2,000 mutant clones from a large mutagenesis collection. Approximately 4% of the clonal lines showed a mutant phenotype at one stage. Many of these could be ordered by clustering into functional groups. The dataset allows one to search and retrieve movies on a gene-by-gene and phenotype-by-phenotype basis.