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.
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Yale Univ, Dept Mol Cellular & Dev Biol, New Haven, CT 06520 USA
Yale Univ, Howard Hughes Med Inst, New Haven, CT 06520 USAYale Univ, Dept Mol Cellular & Dev Biol, New Haven, CT 06520 USA
Sliusarenko, Oleksii
Heinritz, Jennifer
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Yale Univ, Howard Hughes Med Inst, New Haven, CT 06520 USAYale Univ, Dept Mol Cellular & Dev Biol, New Haven, CT 06520 USA
Heinritz, Jennifer
Emonet, Thierry
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Yale Univ, Dept Mol Cellular & Dev Biol, New Haven, CT 06520 USA
Yale Univ, Dept Phys, New Haven, CT 06520 USAYale Univ, Dept Mol Cellular & Dev Biol, New Haven, CT 06520 USA
Emonet, Thierry
Jacobs-Wagner, Christine
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Yale Univ, Dept Mol Cellular & Dev Biol, New Haven, CT 06520 USA
Yale Univ, Howard Hughes Med Inst, New Haven, CT 06520 USA
Yale Univ, Sch Med, Sect Microbial Pathogenesis, New Haven, CT 06510 USAYale Univ, Dept Mol Cellular & Dev Biol, New Haven, CT 06520 USA