Uncovering Underlying Physical Principles and Driving Forces of Cell Differentiation and Reprogramming from Single-Cell Transcriptomics

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From single-cell data, investigators quantified the Waddington landscape, showing that optimal paths for differentiation and reprogramming deviated from the naively expected landscape gradient paths and may not pass through landscape saddles at finite fluctuations.
[Proceedings of The National Academy of Sciences of The United States of America]
Abstract