Supplementary Materials for:

Serotonergic regulation of melanocyte conversion: A bioelectrically regulated network for stochastic all-or-none hyperpigmentation

Maria Lobikin, Daniel Lobo, Douglas J. Blackiston, Christopher J. Martyniuk, Elizabeth Tkachenko, Michael Levin*

*Corresponding author. E-mail: michael.levin{at}tufts.edu

This PDF file includes:

• Text S1. Model implementation, simulation, and evaluation.
• Text S2. Method for reverse-engineering a stochastic model of hyperpigmentation.
• Text S3. System of equations and kinetic parameters for the reverse-engineered model.
• Fig. S1. Hierarchical clustering of the differentially regulated transcripts.
• Legends for tables S1 and S2
• Table S3. Enriched GO affected in stage 45 embryos.
• Table S4. Cancer-related genes in humans of the homologs of the genes differentially expressed in stage 45 Xenopus tadpole embryos after depolarizing ivermectin treatment.
• Table S5. Reference genes and primers for RT-qPCR.
• Legends for data S1 and S2

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Other Supplementary Material for this manuscript includes the following:

• Table S1 (Microsoft Excel format). A list of the 45 transcripts differentially expressed by stage 15 in response to ivermectin.
• Table S2 (Microsoft Excel format). A list of the 517 transcripts differentially expressed by stage 45 in response to ivermectin.
• Data S1 (Microsoft Excel format). Differentially expressed transcripts in early and late embryos and their association with disease or cellular process.
• Data S2 (Microsoft Excel format). Results of the training set and validation set experiments and the performance of the model for each.

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Citation: M. Lobikin, D. Lobo, D. J. Blackiston, C. J. Martyniuk, E. Tkachenko, M. Levin, Serotonergic regulation of melanocyte conversion: A bioelectrically regulated network for stochastic all-or-none hyperpigmentation. Sci. Signal. 8, ra99 (2015).

© 2015 American Association for the Advancement of Science