Welcome to the Walhout Lab

The Structure, Function and Evolution of Biological Networks

Metabolic networks provide building blocks and energy to support organism development, growth, wound healing, homeostasis, and response to nutritional, environmental and therapeutic inputs, therefore the tight regulation of these networks is vital to organismal fitness. In the Walhout lab we aim to understand how metabolic networks are organized and regulated, how their organization enables function, and how these networks evolve. We are particularly interested in the communication between metabolic and gene regulatory networks and ask important questions at both broad systems-level as well as deep mechanistic levels to understand these biological processes. Our model organism of choice is the roundworm Caenorhabditis elegans. These worms are highly adaptable, easy to manipulate, and have many analogs in human genetics. We have made significant advances to understand the composition and tissue specific functions of metabolic networks using various experimental and computational methods such as large-scale genetic screens, transcriptomics, metabolomics and transcription factor binding assays, as well as flux balance analysis, nested effects modeling and statistics. However, there is still more work to done. We welcome you to join us on our journey!

We currently have openings for undergraduate interns, graduate students and postdocs. If you are interested in computational and/or experimental projects addressing how environmental and genetic changes affect the metabolic network, in particular at the level of transcriptional regulation or in discussing other potential projects, please contact Dr. Walhout.

Latest Publications

Systems-level design principles of metabolic rewiring in an animal

Li, Zhang et al.

A systems-level, semiquantitative landscape of metabolic flux in C. elegans

Zhang, Li et al.

Above papers highlighted in Science Daily

Enhanced flux potential analysis links changes in enzyme expression to metabolic flux

Li et al.

Meet the Team