skip to primary navigationskip to content
 

Dr Daphne Ezer

Dr Daphne Ezer

Research Associate

Sainsbury Laboratory, University of Cambridge
47 Bateman Street

Cambridge CB2 1LR
Office Phone: +44(0)1223 761100

Biography:

Daphne Ezer is a postdoc in the Phil Wigge group, where she studies the mechanisms by which the DNA sequence is mapped to temperature responsiveness in transcription and translation, from a biophysical perspective.  She did her PhD in the University of Cambridge Systems Biology Centre/Department of Genetics in Boris Adryan's lab as a Marshall Scholar, where she developed new tools to analyse bursting gene expression from single cell gene expression data in mouse bone marrow cells and made biophysical simulations of the diffusion of transcription factors in bacteria.  Daphne graduated with highest distinction from Duke University, with a double major in computer science and biology, and conducted research for her undergraduate thesis in the lab of Alex Hartemink.

Research Interests

Origins of gene expression noise; the combinatorics of TF/nucleosome binding; predictive models of gene expression; algorithm development.

Key Publications

Jung JH., Domijan M., Klose C., Biswas S., Ezer D., Gao M., Khattak AK., Box MS., Charoensawan V., Cortijo S., Kumar M., Grant A., Locke JC., Schäfer E., Jaeger KE., Wigge PA. Phytochromes Function as Thermosensors in Arabidopsis. Science in press. DOI: 10.1126/science.aaf6005

D Ezer, NR Zabet, B Adryan, Physical constraints determine the logic of bacterial promoter architectures, NAR, 2014.

D Ezer, NR Zabet, B Adryan, Homotypic clusters of transcription factor binding sites: A model system for understanding the physical mechanics of gene expression, CSBJ, 2014.

X Ma, D Ezer, C Navarro, B Adryan,  Reliable scaling of Position Weight Matrices for binding strength comparisons between transcription factors, BMC Bioinformatics, 2015.

Justin Malin, Daphne Ezer, Xiaoyan Ma, Steve Mount, Hiren Karathia, Seung Gu Park, Boris Adryan, Sridhar Hannenhalli, Crowdsourcing: Spatial clustering of low-affinity binding sites amplifies in vivo transcription factor occupancy, preprint in the arxiv, 2015.

 

For a list of papers with abstracts and further information, please click here.

 

 

 

Filed under: