A computer-guided design tool to increase the efficiency of cellular conversions
收藏干细胞与再生医学数据中心2022-02-20 更新2024-03-06 收录
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http://data.iscr.ac.cn/Article?id=ce55d4b3e992fa483620ac7de13f9511
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Here we introduce a computer-guided design tool that combines a computational framework for prioritizing more efficient combinations of instructive factors (IFs) of cellular conversions, called IRENE, with a transposon-based genomic integration system for efficient delivery. Particularly, IRENE relies on a stochastic gene regulatory network model that systematically prioritizes more efficient IFs by maximizing the agreement of the transcriptional and epigenetic landscapes between the converted and target cells. Our predictions substantially increased the efficiency of two established iPSC-differentiation protocols (natural killer cells and melanocytes) and established the first protocol for iPSC-derived mammary epithelial cells with high efficiency.
提供机构：
Harvard University
创建时间：
2022-02-20
