CORDIS Project
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This project aims to develop a machine learning model to predict combinations of transcription factors and epigenetic regulators that can convert one human cell type into another. It will leverage CRISPR single-cell sequencing data to explore cellular identity and transdifferentiation.
Cellular identity is controlled by cell type specific expression of transcription factors (TFs), and it is reflected in the cell’s epigenetic landscape maintained by epigenetic regulator proteins (ERs).
Functional dissection of cellular identity has focused mainly on a small number of lineage-defining master regulators, yet there is increasing evidence that multiple TFs and ERs work together to establish and retain the vast number of different cell types and cell states in the human body.
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