Early neuronal maturation is not well understood. A new study at Waisman was able to map the gene and regulatory networks driving early neuronal maturation for the first time.
Daifeng Wang
Daifeng Wang, PhD – Slide of the Week
Cellular processes like development, differentiation, and disease progression are highly complex and dynamic (e.g., gene expression).
New AI framework reveals cooperative work behind oligodendrocyte function
Our brain is big on team work makes the dream work. Not only brain cells, but even smaller units that make up a cell work in cooperation to make the brain work properly.
Sigan Hartley, research team receive $9 million National Institutes of Health grant to study Down syndrome
Sigan Hartley, 100 Women Distinguished Chair in Human Ecology and Human Development & Family Studies professor, and a team of researchers have received a $9 million grant from the National Institutes of Health (NIH).
Daifeng Wang, PhD – Slide of the Week
Genotypes are strongly associated with disease phenotypes, particularly in brain disorders. However, the molecular and cellular mechanisms behind this association remain elusive.
Utilizing AI to better understand the genotype-phenotype connection
There are thousands if not millions of steps to get from genotype, your genetic code, to phenotype, your physical attributes.
UW effort to map Down syndrome brain raises prospect of treatment for disorder
In a lab near UW Hospital, Megan Jandy grows stem cells from people with Down syndrome — 10 batches of cells, most in three-dimensional clusters, each batch featuring one group with the extra chromosome that causes the disorder and one group without it.
Genomics and genetics cluster hire brings expansion into new research avenues
Tiny but mighty is a good way of describing our genome – the collection of our DNA. Although not visible to the naked eye, the human genome holds around 21,000 genes and millions of DNA variants, containing the information needed to maintain an organism throughout its life.
New machine learning algorithm improves estimation and integration of single-cell data
Like a game of Wheel of Fortune, where you have to fill in missing letters to guess the hidden phrase, analyzing data sometimes requires estimating missing data points by relying on available information in order to get the full picture of what’s being studied.
Daifeng Wang, PhD – Slide of the Week
Our machine-learning framework, brain and organoid manifold alignment (BOMA), first performs a global alignment of developmental gene expression data between brains and organoids.