mRNA-Seq whole-transcriptome analysis of a single cell

@article{Tang2009mRNASeqWA,
  title={mRNA-Seq whole-transcriptome analysis of a single cell},
  author={Fuchou Tang and Catalin C. Barbacioru and Yangzhou Wang and Ellen Nordman and Clarence C Lee and Nanlan Xu and Xiaohui Wang and John P. Bodeau and Brian B. Tuch and Asim S. Siddiqui and Kaiqin Lao and M. Azim Surani},
  journal={Nature Methods},
  year={2009},
  volume={6},
  pages={377-382}
}
Next-generation sequencing technology is a powerful tool for transcriptome analysis. However, under certain conditions, only a small amount of material is available, which requires more sensitive techniques that can preferably be used at the single-cell level. Here we describe a single-cell digital gene expression profiling assay. Using our mRNA-Seq assay with only a single mouse blastomere, we detected the expression of 75% (5,270) more genes than microarray techniques and identified 1,753… 

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