Erel Levine, Harvard University

Bacterial infection is characterized by a multi-scale noisy dynamics with unpredictable outcome. In my talk I introduce bacterial infection of the worm intestine as a minimal tractable model of bacterial infection. I discuss how this model could be used to address key questions in the field, and suggest experimental and theoretical approaches to study it.

Atul Butte, Stanford University

Visit the Butte Lab.

Dr. Butte’s lab at Stanford builds and applies tools that convert more than 300 billion points of molecular, clinical, and epidemiological data measured by researchers and clinicians over the past decade into diagnostics, therapeutics, and new insights into disease.  Dr. Butte, a bioinformatician and pediatric endocrinologist, will highlight his lab’s work on environment-wide association studies, evolution and disease, and evaluations of patients presenting with personal genomes.

Philippe Cluzel, Harvard University

Most amino acids are represented in the genetic code by more than one codon. Codons coding for the same amino acid are referred to as synonymous. Over-expression of proteins can be optimized by adjusting the choice of synonymous codons. Introductions of synonymous mutations into endogenous genes, however, have been shown to have very little effect on protein levels. From these conflicting findings, it is unclear whether the degeneracy of the genetic code plays a role in protein expression at all. The studies of endogenous genes were done in the context of a nutrient-rich environment.