Massive and parallel expression profiling using microarrayed single-cell sequencing.

Vickovic S, Ståhl PL, Salmén F, Giatrellis S, Westholm JO, Mollbrink A, Navarro JF, Custodio J, Bienko M, Sutton LA, Rosenquist R, Frisén J, Lundeberg J

Nat Commun 7 (1) 13182 [2016-10-14; online 2016-10-14]

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.

Affiliated researcher

Magda Bienko

Sanja Vickovic

SciLifeLab Fellow

PubMed 27739429

DOI 10.1038/ncomms13182

Crossref 10.1038/ncomms13182

pmc: PMC5067491
pii: ncomms13182

Publications 9.5.0