WID Hubs Launch at Illuminating Connections Event

WID’s new hubs—Data Science, Multi-Omics, and Illuminating Discovery—represent a new path forward for collaborative research projects and fields.

Scientists Discovered How PCK1 Gene Is Involved In Diabetes and Metastasis in Some Types of Cancer

An international team of researchers including WID scientists has discovered new mechanisms to regulate the activity of a gene essential in metabolism, with implications for pathologies related to alterations in glucose levels in the body, such as diabetes or metastasis in some types of cancer.

Students Search for New Antibiotics in Initiative that Brings Real Science to Classrooms

From the Milwaukee Journal Sentinel: At a recent training event, teachers from Milwaukee Public Schools were joined by a teacher from New York Public Schools, a middle school teacher from Oak Creek, and even a researcher planning to bring the program back to his home university in India.

Tools for Discovery: Sam Rikkers

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 …

Weaning Crops from Nitrogen Fertilizers: Examining Evolution’s Innovations

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.

Connecting the Dots: a New Method to Understand Cell Type Transitions

Wisconsin Institute for Discovery (WID) researchers Rupa Sridharan and Sushmita Roy are combining their expertise in regenerative biology and computational biology to better understand how cells transition from one type to another through gene regulation.

Inference and Evolutionary Analysis of Genome-Scale Regulatory Networks in Large Phylogenies

In a paper in Cell Systems, Sushmita Roy and colleagues develop a probabilistic graphical model-based method, multi-species regulatory network learning that uses a phylogenetic framework to infer regulatory networks in multiple species simultaneously.