Smart-seq2 for Sensitive Full-length Transcriptome Profiling in Single Cells

Overview

Journal Nat Methods

Specialties Biomedical Engineering
Pathology

Date 2013 Sep 24

PMID 24056875

Citations 1227

Authors

Simone Picelli

Asa K Bjorklund

Omid R Faridani

Sven Sagasser

Gosta Winberg

Rickard Sandberg

Affiliations

Soon will be listed here.

Abstract

Single-cell gene expression analyses hold promise for characterizing cellular heterogeneity, but current methods compromise on either the coverage, the sensitivity or the throughput. Here, we introduce Smart-seq2 with improved reverse transcription, template switching and preamplification to increase both yield and length of cDNA libraries generated from individual cells. Smart-seq2 transcriptome libraries have improved detection, coverage, bias and accuracy compared to Smart-seq libraries and are generated with off-the-shelf reagents at lower cost.

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