Neurobiology

Danielle Tomasello is a postdoctoral fellow investigating neurodevelopmental disorders in Whitehead Institute Member Hazel Sive’s lab. Tomasello is a Simons Center for the Social Brain fellow and was previously Whitehead Institute’s Balkin-Markell-Weinberg Fellow. She is also the creator of The Social Scientist, an outreach and networking site for scientists. We sat down with Tomasello to learn a bit more about her and her experiences in the lab.

Some of the newest and brightest at Whitehead Institute discuss their current research and the future of science. Speakers include - Whitehead Institute Fellow Olivia Corradin: Uncovering New Insights into Human Disease from Genetic Risk Factors - Whitehead Institute Member Ankur Jain: Liquids, Gels, and Neurodegeneration - Whitehead Institute Fellow Kristin Knouse: Innovation in Regenerative Medicine Moderated by Nancy C. Andrews, MD, PhD, former dean of Duke University School of Medicine

For the first time, Whitehead Institute scientists have documented a direct link between deletions in two genes—fam57ba and doc2a—in zebrafish and certain brain and body traits, such as seizures, hyperactivity, large head size, and increased fat content. Both genes reside in the 16p11.2 region of the genome, which has been linked to multiple brain and body disorders in humans, including autism spectrum disorder, developmental delays, seizures, and obesity.

Whitehead Institute scientists have devised a protocol for pushing human pluripotent stem cells to become microglia—the specialized immune cells that maintain the brain and care for it after injury. Microglia play an important role in neurodegenerative diseases, including Parkinson’s and Alzheimer’s, and studying these cells has been very difficult until now.

Using a novel method, Whitehead Institute researchers have determined how mutations that are not located within genes are identified through genome-wide association studies (GWAS) and can contribute to sporadic Parkinson’s disease, the most common form of the condition. The approach could be used to analyze GWAS results for other sporadic diseases with genetic causes, such as multiple sclerosis, diabetes, and cancer.