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Vickovic S, Ståhl PL, Salmén F, Giatrellis S, Westholm JO, Mollbrink A, Navarro JF, Custodio J, Bienko M, Sutton L, Rosenquist R, Frisén J, Lundeberg J
Nat Commun 7 (-) 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.
Bioinformatics (NBIS) [Collaborative]
Bioinformatics Long-term Support WABI [Collaborative]
Bioinformatics Support for Computational Resources [Service]
Bioinformatics Support, Infrastructure and Training [Collaborative]
NGI Stockholm (Genomics Applications) [Service]
NGI Stockholm (Genomics Production) [Service]
National Genomics Infrastructure [Service]
PubMed 27739429
DOI 10.1038/ncomms13182
Crossref 10.1038/ncomms13182
pii: ncomms13182
pmc: PMC5067491