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

Grün D (2018)

Publication Type: Journal article, Review article

Publication year: 2018

Journal

Current Opinion in Systems Biology Elsevier

Book Volume: 11

Pages Range: 9-17

DOI: 10.1016/j.coisb.2018.07.006

Abstract

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 RNA-seq protocols has enabled the generation of snapshot data covering the entire spectrum of cell states in a system of 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.

Involved external institutions

Max-Planck-Institut für Immunbiologie und Epigenetik (MPI-IE) / Max Planck Institute of Immunobiology and Epigenetics DE Germany (DE)

How to cite

APA:

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

MLA:

Grün, Dominic. "Revealing routes of cellular differentiation by single-cell RNA-seq." Current Opinion in Systems Biology 11 (2018): 9-17.

BibTeX: Download