RESEARCH
Regulatory DNA encodes the gene regulatory networks that are required for virtually every process in an a nimal, from development to immunity. The Wunderlich lab is interested in understanding how a gene regulatory network's tasks influence its architecture, robustness, and evolvability. To probe these questions, we use two model systems: the Drosophila early embryonic patterning system and the Drosophila innate immune response. In both systems, we pair imaging-based and genomic measurements of gene expression with statistical and physically-based computational models to explore questions of gene regulatory network function. We exploit naturally-occuring sequence variation between individuals and species as a tool to measure how changes in regulatory DNA affect transcriptional regulation.
PEOPLE
Zeba Wunderlich
Associate Professor
PhD, Biophysics, Harvard University
BA, Molecular Biology & Biochemistry, Statistics, Rutgers University
Kevin Cabrera
PhD Student
BS, Biology, BA, Chemistry, Florida International University
Lianne Cohen
Post-doctoral Fellow
PhD, Biology, UCSD
BS, Biological Sciences, Carnegie Mellon University
Jillian Ness
PhD Student
BS, MS, Purdue University
Olivia Gibson
Undergraduate Student
Cell Biology, Molecular Biology, and Genetics
Noshin Nawar
PhD Student
BS, Bioengineering, University of Illinois, Urbana-Champaign
Julia Gibbs
PhD Student
BS, Biological Sciences; BA, English Literature, University of Pittsburgh
Antonio Serrato-Capuchina
Post-doctoral Fellow
PhD, Ecology and Evolution of Organismal Biology; BS, Biology, University of North Carolina, Chapel Hill
Christian Mei
Undergraduate Student
Cell Biology, Molecular Biology, and Genetics
Demi Ring
Undergraduate Student
Cell Biology, Molecular Biology, and Genetics
Emily Yang
PhD Student
Cell Biology, Molecular Biology, and Genetics
SELECTED PUBLICATIONS
For an up-to-date and complete list of publications, see Google Scholar.
BA Ramirez-Corona, A Love, S Chandrasekan, JA Prescher, Z Wunderlich. iScience. (2022).
R Waymack, M Gad, Z Wunderlich. iScience. (2021).
L Li, R Waymack, M Gad, Z Wunderlich. Genetics. (2021).
BA Ramirez-Corona, SM Fruth, O Ofoegbu, Z Wunderlich. Genome Research. (2021).
EZ Kvon, R Waymack, M Gad, Z Wunderlich. Nature Reviews Genetics. (2021).
F Lopez-Rivera, OK Foster, BJ Vincent, ECG Pym, MDJ Bragdon, J Estrada, AH DePace, Z Wunderlich. G3. (2020).
R Waymack, A Fletcher, G Enciso, Z Wunderlich. eLife. (2020).
Z Wunderlich, CC Fowlkes, KB Eckenrode, MDJ Bragdon, A Abiri, AH DePace. G3. (2019).
L Li, Z Wunderlich. Frontiers in Genetics. (2017).
Z Wunderlich, M DJ Bragdon, BJ Vincent, JA White, J Estrada, AH DePace. Cell Reports. (2015).
Selected older works:
Z Wunderlich, MD Bragdon, K Eckenrode, T Martin, S Pearl, and AH DePace. Dissecting sources of quantitative gene expression pattern divergence between Drosophila species. Molecular Systems Biology. (2012).
Z Wunderlich, AH DePace. Modeling transcriptional networks in Drosophila development at multiple scales. Current Opinion in Genetics and Development. (2011).
Z Wunderlich, LA Mirny. Different gene regulation strategies revealed by analysis of binding motifs. Trends in Genetics. (2009).
Z Wunderlich, LA Mirny. Using genome-wide measurements for computational prediction of SH2-peptide interactions. Nucleic Acids Research. (2009).
Z Wunderlich, LA Mirny. Spatial effects on the speed and reliability of protein-DNA search. Nucleic Acids Research. (2008).
G Kolesov*, Z Wunderlich*, ON Laikova, MS Gelfand, LA Mirny. How gene order is influenced by the biophysics of transcription regulation. PNAS. (2007).
Z Wunderlich and LA Mirny. Using topology of the metabolic network to predict viability of mutant strains. Biophysical Journal. (2006).
CONTACT US
Email
zeba[at]bu[dot]edu
Call
617-353-3833
