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Sci. Signal., 6 July 2010
[DOI: 10.1126/scisignal.2000857]

Supplementary Materials for:

Error Minimization in Lateral Inhibition Circuits

Omer Barad, Dalia Rosin, Eran Hornstein,* Naama Barkai*

*To whom correspondence should be addressed. E-mail: naama.barkai{at}weizmann.ac.il (N.B.); eran.hornstein{at}weizmann.ac.il (E.H.)

This PDF file includes:

  • Section S1. Probabilistic model of lateral inhibition: rules for successful selection.
  • Section S2. Error rate—formal calculation.
  • Section S3. Error rate in a purely stochastic lateral inhibition process.
  • Section S4. Error rate in a lateral inhibition process with a pre-pattern bias.
  • Section S5. Error rate in an iterative process.
  • Section S6. Transcription-based feedback model of lateral inhibition process: the effective time delay, τeff.
  • Section S7. Cis inhibition model of lateral inhibition process: the effective time delay, τeff.
  • Section S8. Predicted error rates for different combinations of Notch, Delta, and Serrate heterozygotes.
  • Section S9. A smooth inhibition function leads to a higher error rate.
  • Section S10. Validation for the use of the mα reporter.
  • Fig. S1. Minimizing inhibition delay reduces error rate in a lateral inhibition process with a pre-pattern bias.
  • Fig. S2. Reduction of error rate in an iterative process.
  • Fig. S3. Simulation results showing the error rates as a function of the Hill coefficient.
  • Fig. S4. Validation of SOP detection using the mα reporter.
  • Table S1. Summary of the specific genotypes tested for ectopic selection of anterior scutellar (aSC) bristles.
  • References

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Citation: O. Barad, D. Rosin, E. Hornstein, N. Barkai, Error Minimization in Lateral Inhibition Circuits. Sci. Signal. 3, ra51 (2010).

© 2010 American Association for the Advancement of Science


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