Systems biology and cell engineering
Lewis Lab at the University of California, San Diego
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About us

Living systems have classically been studied in-depth one gene at a time. However, each gene and protein exists and functions within complex matrices consisting of a vast array of biomolecules, ranging from small metabolites to large macromolecules. Thus, in vivo, the thousands of other unique molecules and their interactions will influence the function and evolution of each individual protein. Systems-engineering principles are now being applied to elucidate how the cellular context influences each protein and how each protein influences cellular phenotype. This can be accomplished by treating each enzyme as a component in a vast network of proteins, and then modeling their interactions, as if the system were a chemical plant or electrical circuit. We develop novel algorithms to integrate genome-scale data with these models to gain insight into how the network context influences how each protein contributes to phenotypes, such as disease. We also leverage this knowledge to guide cell engineering efforts for biotherapeutic development.

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Follow us on Twitter @LewisLabUCSD

  • RT @Nathan_E_Lewis: Had fun working with @geochurch's group and @samira_kiani1's group on their development of a more effective CRISPR repr… 7 months ago
  • RT @Nathan_E_Lewis: Fun being a part of this. Great job @AlyaaMahmoud ! https://t.co/0G5pkLxlYF 7 months ago
  • RT @Nathan_E_Lewis: Congrats to @GutierrezJahir for an excellent PhD defense! https://t.co/9QT5uV9WCX 8 months ago
  • Congratulations to Doctor Jahir Gutierrez! That was an amazing defense!!! https://t.co/Ea86lxPwqN 8 months ago
  • RT @biorxiv_sysbio: Genome-scale reconstructions of the mammalian secretory pathway predict metabolic costs and limitations of protein secr… 8 months ago
  • RT @Nathan_E_Lewis: Check out our new preprint on the interaction between metabolism and protein secretion in mammalian cells https://t.co/… 8 months ago
  • RT @Nathan_E_Lewis: Presenting a @MetabolomicsSoc Webinar on unraveling a cell's metabolic capabilities from omics data on Monday March 26.… 11 months ago
  • RT @ecbrunk: Our paper finally in press! https://t.co/btQHDpOCdW 12 months ago
  • RT @Nathan_E_Lewis: Impressive single cell profiling of gene expression across >800 cell types. https://t.co/sMqY8eK7YE 12 months ago
  • Congrats @hhefzi for a great thesis defense! https://t.co/jdPNsOJpeq 1 year ago
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University of California, San Diego

4119 BRF2
9500 Gilman Drive, Mail Code 0760
La Jolla, CA 92093

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