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

IF: 17.694

Cited by: 35

Abstract

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

Gene Expression

MASC-seq

MeSH terms

Animals

Biotechnology

Cells, Cultured

Flow Cytometry

Gene Expression Profiling

High-Throughput Nucleotide Sequencing

Humans

Leukemia, Lymphocytic, Chronic, B-Cell

MCF-7 Cells

Mice

NIH 3T3 Cells

Single-Cell Analysis

Authors

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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