Comparative Analysis of Single-Cell RNA Sequencing Methods

• Published in: Molecular cell Vol. 65; no. 4; pp. 631 - 643.e4
• Main Authors: Ziegenhain, Christoph, Vieth, Beate, Parekh, Swati, Reinius, Björn, Guillaumet-Adkins, Amy, Smets, Martha, Leonhardt, Heinrich, Heyn, Holger, Hellmann, Ines, Enard, Wolfgang
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 16.02.2017; Elsevier
• Subjects: Animals; Base Sequence; Cell Line; Computer Simulation; Cost-Benefit Analysis; Cost-effectiveness; embryonic stem cells; Embryonic Stem Cells - chemistry; genes; High-Throughput Nucleotide Sequencing - economics; messenger RNA; Method comparison; Mice; Models, Economic; Power analysis; RNA - genetics; RNA - isolation & purification; sequence analysis; Sequence Analysis, RNA - economics; Sequence Analysis, RNA - methods; simulation; Single-Cell Analysis - economics; Single-Cell Analysis - methods; Single-cell rna-seq; transcriptome; Transcriptomics; transcriptomics; cost-effectiveness; single-cell RNA-seq; method comparison; simulation; power analysis

Single-cell RNA sequencing (scRNA-seq) offers new possibilities to address biological and medical questions. However, systematic comparisons of the performance of diverse scRNA-seq protocols are lacking. We generated data from 583 mouse embryonic stem cells to evaluate six prominent scRNA-seq method...