Droplet Barcoding for Single-Cell Transcriptomics Applied to Embryonic Stem Cells

@article{Klein2015DropletBF,
  title={Droplet Barcoding for Single-Cell Transcriptomics Applied to Embryonic Stem Cells},
  author={Allon M. Klein and Linas Mazutis and Ilke Akartuna and Naren Tallapragada and Adrian Veres and Victor H. Li and Leonid Peshkin and David A. Weitz and Marc W Kirschner},
  journal={Cell},
  year={2015},
  volume={161},
  pages={1187-1201}
}
It has long been the dream of biologists to map gene expression at the single-cell level. With such data one might track heterogeneous cell sub-populations, and infer regulatory relationships between genes and pathways. Recently, RNA sequencing has achieved single-cell resolution. What is limiting is an effective way to routinely isolate and process large numbers of individual cells for quantitative in-depth sequencing. We have developed a high-throughput droplet-microfluidic approach for… CONTINUE READING

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References

Publications referenced by this paper.
SHOWING 1-10 OF 65 REFERENCES

On the Origin and Evolutionary History of NANOG

VIEW 5 EXCERPTS
HIGHLY INFLUENTIAL

Dynamic Heterogeneity and DNA Methylation in Embryonic Stem Cells

VIEW 9 EXCERPTS
HIGHLY INFLUENTIAL

Full-length RNA-seq from single cells using Smart-seq2

VIEW 2 EXCERPTS
HIGHLY INFLUENTIAL

Quantitative single-cell RNA-seq with unique molecular identifiers

VIEW 5 EXCERPTS
HIGHLY INFLUENTIAL

ES cell potency fluctuates with endogenous retrovirus activity

VIEW 3 EXCERPTS
HIGHLY INFLUENTIAL

Counting individual DNA molecules by the stochastic attachment of diverse labels.

VIEW 4 EXCERPTS
HIGHLY INFLUENTIAL

Metabolic oxidation regulates embryonic stem cell differentiation

VIEW 1 EXCERPT
HIGHLY INFLUENTIAL