In:
Nature Communications, Springer Science and Business Media LLC, Vol. 7, No. 1 ( 2016-10-14)
Kurzfassung:
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.
Materialart:
Online-Ressource
ISSN:
2041-1723
Sprache:
Englisch
Verlag:
Springer Science and Business Media LLC
Publikationsdatum:
2016
ZDB Id:
2553671-0