Abstract

Gene expression analysis of rare or heterogeneous cell populations such as disseminated cancer cells (DCCs) requires a sensitive method allowing reliable analysis of single cells. Therefore, we developed and explored the feasibility of a quantitative PCR (qPCR) assay to analyze single-cell cDNA pre-amplified using a previously established whole transcriptome amplification (WTA) protocol. We carefully selected and optimized multiple steps of the protocol, e.g. re-amplification of WTA products, quantification of amplified cDNA yields and final qPCR quantification, to identify the most reliable and accurate workflow for quantitation of gene expression of the ERBB2 gene in DCCs. We found that absolute quantification outperforms relative quantification. We then validated the performance of our method on single cells of established breast cancer cell lines displaying distinct levels of HER2 protein. The different protein levels were faithfully reflected by transcript expression across the tested cell lines thereby proving the accuracy of our approach. Finally, we applied our method to breast cancer DCCs of a patient undergoing anti-HER2-directed therapy. Here, we were able to measure ERBB2 expression levels in all HER2-protein-positive DCCs. In summary, we developed a reliable single-cell qPCR assay applicable to measure distinct levels of ERBB2 in DCCs.

Highlights

  • The analysis of systemically spread cancer via detection of disseminated cancer cells (DCCs) or circulating tumor cells (CTCs) in distant organs or blood, respectively, faces several technical challenges

  • The frequency of DCCs or CTCs is very low, e.g. ~two DCCs and ~one CTC can be found among 106 nucleated cells in bone marrow and peripheral blood, respectively [1, 2], in breast cancer depending on the clinical stage

  • Relative transcript quantification by quantitative PCR (qPCR), for which the expression level of a gene of interest is calculated relative to the expression of one or multiple reference gene(s), so called housekeeping genes, is widely used to measure mRNA levels in multiple sample types [28]

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Summary

Introduction

The analysis of systemically spread cancer via detection of disseminated cancer cells (DCCs) or circulating tumor cells (CTCs) in distant organs or blood, respectively, faces several technical challenges. ~two DCCs and ~one CTC can be found among 106 nucleated cells in bone marrow and peripheral blood, respectively [1, 2], in breast cancer depending on the clinical stage. Sensitive gene expression analysis in single cells cells exhibit phenotypical and genetic heterogeneity affecting their malignant potential and susceptibility to therapy [3]. The analysis of metastasis necessitates highly reliable methods enabling the investigation of single cells at its early stages. Single-cell transcriptomes underlie dynamic changes that reflect functional and differentiation processes occurring in individual cells. The analysis of individual cell transcriptomes provides a first insight into cell functions relevant for disease progression or therapy resistance

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