Regulatory DNA encodes the gene regulatory networks that are required for virtually every process in an animal, 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.
The Wunderlich lab is looking for enthusiastic students and post docs to join the lab.
We are accepting applications for a postdoc position in the lab and welcome candidates who are interested in understanding the function of regulatory DNA using a combination of experimental and computational approaches. Applicants can send a CV and cover letter describing your previous research experience and future research interests, including why you are interested in the lab, to Zeba.
Undergraduates interested in studies of gene regulation should contact Zeba to discuss possible projects.
PhD, Harvard University, Biophysics
BA, Molecular Biology & Biochemistry, Statistics, Rutgers University
BS, Bioengineering, Caltech
BS, Genetics, UC Davis
BS, Neuroscience, College of William & Mary
Public Health Sciences
BS, Biology, BA Chemistry, Florida International University
Research Assistant, 2017-2018, now at Western University of Health Sciences
Undergraduate Student, Biomedical Engineering, 2016-2017, now in UCI MD/PhD program
Undergraduate Student, Genetics and Anthropology, 2015-2016, now at Natera
Masters Student, Biotechnology Management, 2016-2017, now at Pacific Biosciences
Masters Student, Developmental and Cell Biology, 2015-2017
Samee MAH, Lydiard-Martin T, Biette KM, Vincent BJ, Bragdon MD, Eckenrode KB, Wunderlich Z, Estrada J, Sinha S, DePace AH.
Cell Reports. (2017).
MV Staller, D Yan, S Randklev, MD Bragdon, Z Wunderlich, R Tao, LA Perkins, AH DePace, N Perrimon. Genetics. (2013).
Z Wunderlich, MD Bragdon, K Eckenrode, T Martin, S Pearl, and AH DePace. Molecular Systems Biology. (2012).
CC Fowlkes*, K Eckenrode*, MD Bragdon*, M Meyer, Z Wunderlich, L Simirenko, CL Luengo Hendriks, SVE Keränen, C Henriquez, DW Knowles, MD Biggin, MB Eisen, AH DePace. PLoS Genetics. (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).
W Tian, LV Zhang, M Tasan, FD Gibbons, OD King, J Park, Z Wunderlich, JM Cherry, FP Roth. Combining guilt-by-association and guilt-by-profiling to predict Saccharomyces cerevisiae gene function. Genome Biology. (2008).
G Kolesov*, Z Wunderlich*, ON Laikova, MS Gelfand, LA Mirny. How gene order is influenced by the biophysics of transcription regulation. PNAS. (2007).
A Bhattacharya, Z Wunderlich, D Monleon, R Tejero, GT Montelione. Assessing model accuracy using the Homology Modeling Automatically (HOMA) Software. Proteins: Structure, Function, Bioinformatics. (2007).
Z Wunderlich and LA Mirny. Using topology of the metabolic network to predict viability of mutant strains. Biophysical Journal. (2006).
Z Wunderlich, TB Acton, J Liu, G Kornhaber, J Everett, P Carter, N Lan, N Echols, M Gerstein, B Rost, and GT Montelione. The protein target list of the Northeast Structural Genomics Consortium. Proteins: Structure, Function, Bioinformatics. (2004).
C-S Goh, N Lan, N Echols, S Douglas, D Milburn, P Bertone, R Xiao, L-C Ma, D Zheng, Z Wunderlich, TB Acton, GT Montelione, and Mark Gerstein. SPINE 2: A system for collaborative structural proteomics within a federated database framework. Nucleic Acids Research. (2003).