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Massive and parallel expression profiling using microarrayed single-cell sequencing
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Number of Authors: 13
2016 (English)In: Nature Communications, ISSN 2041-1723, E-ISSN 2041-1723, Vol. 7, 13182Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
2016. Vol. 7, 13182
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Other Natural Sciences
Identifiers
URN: urn:nbn:se:su:diva-136061DOI: 10.1038/ncomms13182ISI: 000385549400001PubMedID: 27739429OAI: oai:DiVA.org:su-136061DiVA: diva2:1057904
Available from: 2016-12-19 Created: 2016-11-29 Last updated: 2016-12-19Bibliographically approved

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Westholm, Jakub Orzechowski
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Science for Life Laboratory (SciLifeLab)Department of Biochemistry and Biophysics
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