Peter Bromley

Jun 14, 2024 | biorxiv.org | Woo Seok Byeon |Sebastian Castillo Hair |Peter Bromley |Christopher H Yin

AbstractAn important and largely unsolved problem in synthetic biology is how to target gene expression to specific cell types. Here, we apply iterative deep learning to design synthetic enhancers with strong differential activity between two human cell lines. We initially train models on published datasets of enhancer activity and chromatin accessibility and use them to guide the design of synthetic enhancers that maximize predicted specificity.