title: Design and Analysis of Single-Cell Sequencing Experiments.
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.
authors.affiliation: Hubrecht Institute-KNAW (Royal Netherlands Academy of Arts and Sciences), 3584 CT Utrecht, the Netherlands; University Medical Center Utrecht, Cancer Genomics Netherlands, 3584 CX Utrecht, the Netherlands; Max Planck Institute of Immunobiology and Epigenetics, D-79108 Freiburg, Germany.
authors.forename: Dominic
authors.initials: D
authors.lastname: Grün
authors.affiliation: Hubrecht Institute-KNAW (Royal Netherlands Academy of Arts and Sciences), 3584 CT Utrecht, the Netherlands; University Medical Center Utrecht, Cancer Genomics Netherlands, 3584 CX Utrecht, the Netherlands. Electronic address: a.vanoudenaarden@hubrecht.eu.
authors.forename: Alexander
authors.initials: A
authors.lastname: van Oudenaarden
mesh_terms: D000818:Animals; D002477:Cells / Q000145:classification / Q000378:metabolism*; D020869:Gene Expression Profiling; D017408:Guidelines as Topic; D006801:Humans; D017422:Sequence Analysis, DNA; D017423:Sequence Analysis, RNA; D059010:Single-Cell Analysis