@article {Klein20151187,
	title = {Droplet Barcoding for Single-Cell Transcriptomics Applied to Embryonic Stem Cells},
	journal = {Cell},
	volume = {161},
	number = {5},
	year = {2015},
	pages = {1187 - 1201},
	abstract = {
	It has long been the dream of biologists to map gene expression at the single-cell level. With such data one might track heterogeneous\&nbsp;cell sub-populations, and infer regulatory relationships between genes and pathways. Recently,\&nbsp;RNA sequencing\&nbsp;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 barcoding the RNA from thousands of individual cells for subsequent analysis by\&nbsp;next-generation sequencing. The method shows a surprisingly low noise profile and is readily adaptable to other sequencing-based assays. We analyzed mouse\&nbsp;embryonic stem cells, revealing in detail the population structure and the heterogeneous onset of differentiation after\&nbsp;leukemia inhibitory factor\&nbsp;(LIF) withdrawal. The reproducibility of these high-throughput single-cell data allowed us\&nbsp;to deconstruct cell populations and infer gene expression relationships.

},
	issn = {0092-8674},
	doi = {http://dx.doi.org/10.1016/j.cell.2015.04.044},
	url = {http://www.sciencedirect.com/science/article/pii/S0092867415005000},
	author = {Allon~M. Klein and Mazutis, Linas and Akartuna, Ilke and Naren Tallapragada and Veres, Adrian and Li, Victor and Peshkin, Leonid and David~A. Weitz and Marc~W. Kirschner}
}
