Developmental Dynamics · 2012 · 27 citations · 13 references
Life SciencesBiotechnologyMolecular BiologyGenomicsMolecular OncologyTranscriptomicsRna Sequencing AnalysisSingle-cell AnalysisSingle-cell GenomicsSingle-cell Rna Sequencing AnalysisSingle-cell TranscriptomicsDeep Sequencing AnalysisSample Loss During CollectionSingle-cell Rna Sequencing
BACKGROUND: Deep sequencing of single cell-derived cDNAs offers novel insights into oncogenesis and embryogenesis. However, traditional library preparation for RNA-seq analysis requires multiple steps with consequent sample loss and stochastic variation at each step significantly affecting output. Thus, a simpler and better protocol is desirable. The recently developed hyperactive Tn5-mediated library preparation, which brings high quality libraries, is likely one of the solutions. RESULTS AND CONCLUSIONS: Here, we tested the applicability of hyperactive Tn5-mediated library preparation to deep sequencing of single cell cDNA, optimized the protocol, and compared it with the conventional method based on sonication. This new technique does not require any expensive or special equipment, which secures wider availability. A library was constructed from only 100 ng of cDNA, which enables the saving of precious specimens. Only a few steps of robust enzymatic reaction resulted in saved time, enabling more specimens to be prepared at once, and with a more reproducible size distribution among the different specimens. The obtained RNA-seq results were comparable to the conventional method. Thus, this Tn5-mediated preparation is applicable for anyone who aims to carry out deep sequencing for single cell cDNAs.
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Mapping and quantifying mammalian transcriptomes by RNA-Seq
A Mortazavi, Brian A. Williams, Kenneth McCue et al. · Nature Methods · 2008 · 14.3K citations
Tumour evolution inferred by single-cell sequencing
Nicholas E. Navin, Jude Kendall, Jennifer Troge et al. · Nature · 2011 · 2.7K citations · Full text
Single-Cell Exome Sequencing Reveals Single-Nucleotide Mutation Characteristics of a Kidney Tumor
Xun Xu, Yong Hou, Xuyang Yin et al. · Cell · 2012 · 723 citations · Full text