Discovering novel phenotypes with automatically inferred dynamic models: a partial melanocyte conversion in Xenopus.

Levin, Michael.

Lobo, Daniel.

Lobikin, Maria.

2017.

Description
  • Progress in regenerative medicine requires reverse-engineering cellular control networks to infer perturbations with desired systems-level outcomes. Such dynamic models allow phenotypic predictions for novel perturbations to be rapidly assessed in silico. Here, we analyzed a Xenopus model of conversion of melanocytes to a metastatic-like phenotype only previously observed in an all-or-none manner.... read more
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  • Lobo, D. et al. Discovering novel phenotypes with automatically inferred dynamic models: a partial melanocyte conversion in Xenopus. Sci. Rep. 7, 41339; doi: 10.1038/srep41339 (2017).
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