Effective detection of variation in single-cell transcriptomes using MATQ-seq
- 16 January 2017
- journal article
- Published by Springer Science and Business Media LLC in Nature Methods
- Vol. 14 (3), 267-270
- https://doi.org/10.1038/nmeth.4145
Abstract
The quantification of transcriptional variation in single cells, particularly within the same cell population, is currently limited by the low sensitivity and high technical noise of single-cell RNA-seq assays. We report multiple annealing and dC-tailing-based quantitative single-cell RNA-seq (MATQ-seq), a highly sensitive and quantitative method for single-cell sequencing of total RNA. By systematically determining technical noise, we show that MATQ-seq captures genuine biological variation between whole transcriptomes of single cells.Keywords
This publication has 23 references indexed in Scilit:
- Single-cell RNA-seq transcriptome analysis of linear and circular RNAs in mouse preimplantation embryosGenome Biology, 2015
- Single Cell Transcriptome Amplification with MALBACPLOS ONE, 2015
- Microfluidic single-cell whole-transcriptome sequencingProceedings of the National Academy of Sciences of the United States of America, 2014
- Massively Parallel Single-Cell RNA-Seq for Marker-Free Decomposition of Tissues into Cell TypesScience, 2014
- Quantitative single-cell RNA-seq with unique molecular identifiersNature Methods, 2013
- Quantitative assessment of single-cell RNA-sequencing methodsNature Methods, 2013
- Smart-seq2 for sensitive full-length transcriptome profiling in single cellsNature Methods, 2013
- CEL-Seq: Single-Cell RNA-Seq by Multiplexed Linear AmplificationCell Reports, 2012
- Full-length mRNA-Seq from single-cell levels of RNA and individual circulating tumor cellsNature Biotechnology, 2012
- mRNA-Seq whole-transcriptome analysis of a single cellNature Methods, 2009