A new paper in Microbiology and Molecular Biology Reviews describes how the steps of virus reproduction contribute to timing and productivity of cell infection.
One of the UW Carbone Cancer Center members presenting is WID’s Peter Lewis. His work focuses on how genes are turned on and off during embryonic development, and how misregulation in those genes can lead to some childhood cancers.
The scholarship recognizes promising undergraduates who plan to pursue a PhD or MD/PhD followed by a research career in engineering, mathematics, or the natural sciences.
WID researcher Shaoqin Sarah Gong is working to more safely deliver a variety of drugs to treat cancer, heart disease and even blindness.
Newly characterized roles for plant histone deacetylases have implications for growth and development. The Zhong Lab explores the influence of the enzymes in both transcription and translation.
The project Includes Hands-On Lab Work Testing Soil
Instructors from schools across the state are getting their hands dirty in the search for antibiotics by joining a new program.
Error rates as high as 50 percent are a problem when the goal is to correct typos in the DNA that cause genetic disease. Now, a team of researchers led by WID’s Kris Saha has made the fix less mistake-prone.
Sam Rikkers was born and raised in south central Wisconsin but has managed to make his mark in far-flung places. A graduate of Columbia University with a Master of International Affairs, he has served the Peace Corps in Zambia, earned a Law Degree from the University of Wisconsin and served …
WID researcher Sushmita Roy and collaborators at UW–Madison and the University of Florida will use a $7 million grant from the U.S. Department of Energy to study how some plants partner with bacteria to create usable nitrogen and to transfer this ability to the bioenergy crop poplar.
A computational biology group interested in developing statistical computational methods to understand regulatory networks driving cellular functions. The lab works to identify networks under different environmental, developmental and evolutionary contexts, comparing these networks across contexts, and construct predictive models from these networks.
Investigating how living organisms cooperate or compete in diverse and changing environments. Methods and perspectives are drawn from many fields, including ecology, evolution, molecular biology, physics, chemistry, engineering, mathematics, and computer science. The lab uses data-driven mechanistic and statistical models to predict when microbes or other organisms will persist or perish, with a broad goal of promoting human health through effective management of microbe-host interactions.
The main scientific focus of the lab is in defining how the epigenome controls cell identity. We want to know how non-genetic information controls functional specialization of a cell and use this knowledge to direct efficient conversion of desired cell types with the ultimate goal of improving stem cell based therapy.