Massive and parallel expression profiling using microarrayed single-cell sequencing

doi:10.1038/ncomms13182

Massive and parallel expression profiling using microarrayed single-cell sequencing

2016-10-14

45

OA

AI

Jakub Orzechowski Westholm

A

Annelie Mollbrink

J

José Fernández Navarro

DOI：10.1038/ncomms13182

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Single-cell transcriptome analysis overcomes problems inherently associated with averaging gene expression measurements in bulk analysis. However, single-cell analysis is currently challenging in terms of cost, throughput and robustness. Here, we present a method enabling massive microarray-based barcoding of expression patterns in single cells, termed MASC-seq. This technology enables both imaging and high-throughput single-cell analysis, characterizing thousands of single-cell transcriptomes per day at a low cost (0.13 USD/cell), which is two orders of magnitude less than commercially available systems. Our novel approach provides data in a rapid and simple way. Therefore, MASC-seq has the potential to accelerate the study of subtle clonal dynamics and help provide critical insights into disease development and other biological processes.

Keywords:

ACUTE MYELOID-LEUKEMIA

GENE-EXPRESSION

RNA-SEQ

IDENTIFICATION

HETEROGENEITY

PROGRESSION

CYCLE

Massive and parallel expression profiling using microarrayed single-cell sequencing

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