Cell types and cell states revealed by single-cell regulatory networks (2019–2021)
This project aims to use single-cell gene regulation networks to predict cell types. Computational approaches are needed to recapitulate how the over 37 trillion cells program the shared genome sequence in a human body to create astoundingly diverse forms and functions. This project integrates millions of high-resolution single-cell gene expression profiles with large-scale population regulatory data to systematically reconstruct gene regulatory networks. These networks are the molecular basis for understanding human cells. Expected outcomes include the first reference single-cell regulatory database and novel methods and software to predict individual cells, which should provide significant scientific, societal and commercial benefits.