We combine high-throughput quantitative experiments with mathematical modeling to determine how phenotypes are encoded in DNA, why antibiotics kill some cells but not others, and why some cells, but not others, will evolve drug resistance.

2. Research Area: single-cell analysis, evolution, drug resistance, transcription, cell growth and division

1.Carey, L.B. (2015). RNA polymerase errors cause splicing defects and can be regulated by differential expression of RNA polymerase subunits. Elife

2.Dhar, R., Missarova, A.M., Lehner, B., and Carey, L.B. (2019). Single cell functional genomics reveals the importance of mitochondria in cell-to-cell phenotypic variation. Elife

3.van Dijk, D., Dhar, R., Missarova, A.M., Espinar, L., Blevins, W.R., Lehner, B., and Carey, L.B. (2015). Slow-growing cells within isogenic populations have increased RNA polymerase error rates and DNA damage. Nature Communications.

4.Espinar, L., Schikora Tamarit, M.À., Domingo, J., and Carey, L.B. (2018). Promoter architecture determines cotranslational regulation of mRNA. Genome Research.

5.Schikora-Tamarit, M.À., Lopez-Grado I Salinas, G., Gonzalez-Navasa, C., Calderón, I., Marcos-Fa, X., Sas, M., and Carey, L.B. (2018). Promoter Activity Buffering Reduces the Fitness Cost of Misregulation. Cell Reports