title: Massive and parallel expression profiling using microarrayed single-cell sequencing.
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.
authors.affiliation: Science for Life Laboratory, Division of Gene Technology, School of Biotechnology, KTH Royal Institute of Technology, SE-114 28 Stockholm, Sweden.
authors.forename: Sanja
authors.identifier: http://orcid.org/0000-0003-0985-9885
authors.initials: S
authors.lastname: Vickovic
authors.affiliation: Department of Cell and Molecular Biology, Karolinska Institute, SE-171 77 Stockholm, Sweden.
authors.forename: Patrik L
authors.initials: PL
authors.lastname: Ståhl
authors.affiliation: Science for Life Laboratory, Division of Gene Technology, School of Biotechnology, KTH Royal Institute of Technology, SE-114 28 Stockholm, Sweden.
authors.forename: Fredrik
authors.initials: F
authors.lastname: Salmén
authors.affiliation: Department of Cell and Molecular Biology, Karolinska Institute, SE-171 77 Stockholm, Sweden.
authors.forename: Sarantis
authors.initials: S
authors.lastname: Giatrellis
authors.affiliation: Science for Life Laboratory, Department of Biochemistry and Biophysics, Stockholm University, SE-106 91 Stockholm, Sweden.
authors.forename: Jakub Orzechowski
authors.initials: JO
authors.lastname: Westholm
authors.affiliation: Science for Life Laboratory, Department of Medical Biochemistry and Biophysics, Karolinska Institute, SE-171 77 Stockholm, Sweden.
authors.forename: Annelie
authors.initials: A
authors.lastname: Mollbrink
authors.affiliation: Department of Cell and Molecular Biology, Karolinska Institute, SE-171 77 Stockholm, Sweden.
authors.forename: José Fernández
authors.initials: JF
authors.lastname: Navarro
authors.affiliation: Science for Life Laboratory, Department of Medical Biochemistry and Biophysics, Karolinska Institute, SE-171 77 Stockholm, Sweden.
authors.forename: Joaquin
authors.initials: J
authors.lastname: Custodio
authors.affiliation: Science for Life Laboratory, Department of Medical Biochemistry and Biophysics, Karolinska Institute, SE-171 77 Stockholm, Sweden.
authors.forename: Magda
authors.initials: M
authors.lastname: Bienko
authors.affiliation: Science for Life Laboratory, Department of Immunology, Genetics and Pathology, Uppsala University, SE-751 85 Uppsala, Sweden.
authors.forename: Lesley-Ann
authors.initials: LA
authors.lastname: Sutton
authors.affiliation: Science for Life Laboratory, Department of Immunology, Genetics and Pathology, Uppsala University, SE-751 85 Uppsala, Sweden.
authors.forename: Richard
authors.initials: R
authors.lastname: Rosenquist
authors.affiliation: Department of Cell and Molecular Biology, Karolinska Institute, SE-171 77 Stockholm, Sweden.
authors.forename: Jonas
authors.initials: J
authors.lastname: Frisén
authors.affiliation: Science for Life Laboratory, Division of Gene Technology, School of Biotechnology, KTH Royal Institute of Technology, SE-114 28 Stockholm, Sweden.
authors.forename: Joakim
authors.initials: J
authors.lastname: Lundeberg
mesh_terms: D000818:Animals; D001709:Biotechnology / Q000379:methods*; D002478:Cells, Cultured; D005434:Flow Cytometry; D020869:Gene Expression Profiling / Q000379:methods*; D059014:High-Throughput Nucleotide Sequencing / Q000379:methods*; D006801:Humans; D015451:Leukemia, Lymphocytic, Chronic, B-Cell / Q000235:genetics / Q000473:pathology; D061986:MCF-7 Cells; D051379:Mice; D041681:NIH 3T3 Cells; D059010:Single-Cell Analysis / Q000379:methods*