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Experimental design for single-cell RNA sequencing
Author(s) -
Jeanette BaranGale,
Tamir Chandra,
Kristina Kirschner
Publication year - 2017
Publication title -
briefings in functional genomics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.22
H-Index - 67
eISSN - 2041-2647
pISSN - 2041-2649
DOI - 10.1093/bfgp/elx035
Subject(s) - biology , computational biology , rna , variety (cybernetics) , field (mathematics) , rna seq , computer science , gene , genetics , artificial intelligence , gene expression , transcriptome , mathematics , pure mathematics
Single-cell RNA sequencing (scRNA-seq) has opened new avenues for the characterization of heterogeneity in a large variety of cellular systems. As this is a relatively new technique, the field is fast evolving. Here, we discuss general considerations in experimental design and the two most popular approaches, plate-based Smart-Seq2 and microdroplet-based scRNA-seq at the example of 10x Chromium. We discuss advantages and disadvantages of both methods and point out major factors to consider in designing successful experiments.

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