The van Oudenaarden lab is using a combination of experimental, computational, and theoretical approaches to quantitatively understand decision‐making in single cells with a focus on questions in developmental and stem cell biology. We are particularly interested in how cells use gene networks to make robust decisions even in the presence of significant fluctuations in gene expression.
About the research
Key publications (5 recent)
G. Neuert, B. Munsky, R. Z. Tan, L. Teytelman, M. Khammash, and A. van Oudenaarden
Systematic identification of signal-activated stochastic gene regulation
Science 339, 584 – 587 (2013).
M. Bienko, N. Crosetto, L. Teytelman, S. Klemm, S. Itzkovitz, and A. van Oudenaarden
A versatile genome-scale PCR-based pipeline for high-definition DNA FISH
Nature Methods 10, 122 – 124 (2013).
S. Itzkovitz, I. Blat, T. Jacks, H. Clevers, A. van Oudenaarden
Optimality in the development of intestinal crypts
Cell 148, 608 – 619 (2012).
M. Acar, B. F. Pando, F. H. Arnold, M. B. Elowitz, and A. van Oudenaarden
A general mechanism for network-dosage compensation in gene circuits
Science 329, 1656 – 1660 (2010).
A. Raj, S. A. Rifkin, E. Andersen, and A. van Oudenaarden
Variability in gene expression underlies incomplete penetrance
Nature 463, 913 – 918 (2010).