Design and Analysis of Single-Cell Sequencing Experiments

Grün, Dominic; van Oudenaarden, Alexander

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Journal Article

Design and Analysis of Single-Cell Sequencing Experiments

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Grün, Dominic
Hubrecht Institute-KNAW (Royal Netherlands Academy of Arts and Sciences);
University Medical Center Utrecht, Cancer Genomics Netherlands;
Max Planck Institute of Immunobiology and Epigenetics, Max Planck Society;

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Citation

Grün, D., & van Oudenaarden, A. (2015). Design and Analysis of Single-Cell Sequencing Experiments. Cell, 163, 799-810.

Cite as: https://hdl.handle.net/someHandle/test/escidoc:902503

Abstract

Recent advances in single-cell sequencing hold great potential for exploring biological systems with unprecedented resolution. Sequencing the genome of individual cells can reveal somatic mutations and allows the investigation of clonal dynamics. Single-cell transcriptome sequencing can elucidate the cell type composition of a sample. However, single-cell sequencing comes with major technical challenges and yields complex data output. In this Primer, we provide an overview of available methods and discuss experimental design and single-cell data analysis. We hope that these guidelines will enable a growing number of researchers to leverage the power of single-cell sequencing.