Massive and parallel expression profiling using microarrayed single-cell sequencing.
IF: 17.694
Cited by: 35


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.


Gene Expression

MeSH terms

Cells, Cultured
Flow Cytometry
Gene Expression Profiling
High-Throughput Nucleotide Sequencing
Leukemia, Lymphocytic, Chronic, B-Cell
MCF-7 Cells
NIH 3T3 Cells
Single-Cell Analysis


Vickovic, Sanja
Ståhl, Patrik L
Salmén, Fredrik
Giatrellis, Sarantis
Westholm, Jakub Orzechowski
Mollbrink, Annelie
Navarro, José Fernández
Custodio, Joaquin
Bienko, Magda
Sutton, Lesley-Ann
Rosenquist, Richard
Frisén, Jonas
Lundeberg, Joakim

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