Massive and Parallel Expression Profiling Using Microarrayed Single-Cell Sequencing

Nat Commun. 2016 Oct 14;7:13182. doi: 10.1038/ncomms13182.

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.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • Biotechnology / methods*
  • Cells, Cultured
  • Flow Cytometry
  • Gene Expression Profiling / methods*
  • High-Throughput Nucleotide Sequencing / methods*
  • Humans
  • Leukemia, Lymphocytic, Chronic, B-Cell / genetics
  • Leukemia, Lymphocytic, Chronic, B-Cell / pathology
  • MCF-7 Cells
  • Mice
  • NIH 3T3 Cells
  • Single-Cell Analysis / methods*