Cell-Type-Directed Design of Synthetic Enhancers for Testing Gene Function

In this episode of Discover ASAP, Seppe De Winter, MS, Niklas Kempynck, MS, David Mauduit, PhD, and Ibrahim Taskiran, PhD, members of Collaborative Research Network’s (CRN) Team Voet, join Devin Snyder, PhD, senior program officer at Aligning Science Across Parkinson’s (ASAP), to discuss CREsted. This deep learning model can be used to efficiently design synthetic, cell-type-specific enhancers to permit testing of gene function in context.

Check out the publication here: https://www.nature.com/articles/s4158...
Check out the deep learning Python package here: https://github.com/aertslab/CREsted

0:44 - Enhancers and benefits of designing synthetic versions
3:46 - Creating cell-type specific enhancers
6:10 - Testing enhancers
7:30 - Using enhancers for different types of models
8:25 - Using CREsted to design enhancers

Discover ASAP is designed to further the spread of knowledge and enhance equity across the scientific community through promoting transparent research practices and enabling others to replicate the work. We are excited to share these interviews and videos with the research community, in hopes that they will help to accelerate discoveries for #ParkinsonsDisease.

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Website: https://parkinsonsroadmap.org/#
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