Quantitative single-cell RNA-seq with unique molecular identifiers
Top Cited Papers
- 31 January 2014
- journal article
- research article
- Published by Springer Science and Business Media LLC in Nature Methods
- Vol. 11 (2), 163-+
- https://doi.org/10.1038/NMETH.2772
Abstract
Single-cell RNA sequencing (RNA-seq) is a powerful tool to reveal cellular heterogeneity, discover new cell types and characterize tumor microevolution. However, losses in cDNA synthesis and bias in cDNA amplification lead to severe quantitative errors. We show that molecular labels-random sequences that label individual molecules-can nearly eliminate amplification noise, and that microfluidic sample preparation and optimized reagents produce a fivefold improvement in mRNA capture efficiency.This publication has 24 references indexed in Scilit:
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