A microfluidic multiwell chip for enzyme-free detection of mRNA from few cells

Biosens Bioelectron. 2016 Dec 15:86:20-26. doi: 10.1016/j.bios.2016.06.019. Epub 2016 Jun 8.

Abstract

Isogenic cell populations possess heterogeneous gene expression patterns. Most methods for mRNA expression analysis start with the reverse transcription of mRNA into cDNA, a process that can introduce strong signal variations not related to the actual mRNA levels. Miniaturized lab-on-a-chip systems offer properties - e.g. low sample dilution, low contamination - that enable new reaction schemes for molecular analyses. To enable transcription-free mRNA expression analysis of few single cells, a one-step cell lysis, target labelling and hybridisation approach as well as a corresponding passive multiwell chip with a volume of 25.5 nL/well were developed. The method enabled the parallel analysis of up to 96 samples and 6 target genes per sample. Preceding light microscopy of the living cells allowed correlating mRNA levels and cell number. As a proof-of-principle, the pancreatic cancer cell line Panc-1 was investigated for expression heterogeneity of a reference gene plus 5 genes reported to be overexpressed in cancer stem cells (CSCs). A good correlation (r(51)=0.739, p<0.001; rs(51)=0.744, p<0.001) between the cell number per well and the number of detected reference gene mRNA confirmed the proper function of the device. Moreover, a heterogeneous expression of the CSC-associated target genes was found which matched well with reports on the presence of CSCs in the Panc-1 cell line.

Keywords: Cellular heterogeneity; Lab-on-a-chip; Microarray; Ultra-sensitive detection; mRNA expression.

MeSH terms

  • Biomarkers, Tumor / metabolism*
  • Cell Line, Tumor
  • Enzymes
  • Equipment Design
  • Equipment Failure Analysis
  • Humans
  • In Situ Hybridization, Fluorescence / instrumentation
  • Lab-On-A-Chip Devices*
  • Neoplastic Stem Cells / metabolism*
  • Pancreatic Neoplasms / diagnosis
  • Pancreatic Neoplasms / genetics
  • Pancreatic Neoplasms / metabolism*
  • RNA, Messenger / genetics
  • RNA, Messenger / metabolism*
  • Reproducibility of Results
  • Sensitivity and Specificity
  • Tissue Array Analysis / instrumentation*

Substances

  • Biomarkers, Tumor
  • Enzymes
  • RNA, Messenger