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Journal Article

Revealing routes of cellular differentiation by single-cell RNA-seq


Grün,  Dominic
Max Planck Institute of Immunobiology and Epigenetics, Max Planck Society;

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Grün, D. (2018). Revealing routes of cellular differentiation by single-cell RNA-seq. Current Opinion in Systems Biology, 11, 9-17. doi:org/10.1016/j.coisb.2018.07.006.

Cite as: https://hdl.handle.net/21.11116/0000-0005-9959-B
Differentiation of multipotent stem cells is controlled by the intricate regulatory interactions of thousands of genes. It remains one of the major challenges to understand how nature has designed such robust and reproducible regulatory mechanisms. Knowing the detailed structure of the underlying lineage trees is the basis for investigating the molecular control of this process. The recent availability of large-scale sensitive single-cell RNAseq protocols has enabled the generation of snapshot data
covering the entire spectrum of cell states in a systemof interest. Consequently, a large number of computational methods for the
reconstruction of cellular differentiation trajectories have been developed. Here, I will provide a detailed overview of the concepts and ideas behind some of these algorithms and discuss the particular aspects addressed by each method.