Single-cell imaging and transcriptomic analyses of firm adhesion between patient-derived cancer and endothelial cells under shear stress

Open research Europe(2023)

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摘要
Adhesion between cancer cells and endothelial cells, lining the blood vessels, is a key event during tumour progression and metastasis formation. However, the analysis of its underlying cellular and molecular mechanisms is largely limited by the intrinsic difficulties to study the interactions between circulating cancer cells and endothelial cells in vivo, and in vitro under conditions that mimic the in vivo blood flow. Here, we developed a method to study cell:cell firm adhesion under shear-stress conditions coupled to high-content live-cell imaging, and single-cell RNAseq analysis. As the model system, we used cancer cells freshly isolated from patient-derived xenografts (PDXs) and human primary endothelial cells. Breast cancer is the most common cancer in women worldwide and the leading cause of cancer-related deaths among women. Therefore, we set up protocols for breast cancer PDX tumour dissociation, isolation and purification to obtain freshly isolated PDX-derived human cancer single cell suspension. We then implemented an in vitro assay to study cancer to endothelial cells firm adhesion under shear-stress, using an all–human microfluidic model coupled to time-lapse and live-cell imaging. Finally, we developed a method to successfully retrieve, separate and enrich alive endothelial and cancer cells from the flow-based firm adhesion assay. Most notably, we used retrieved cells for single-cell RNAseq analysis and showed that samples quality, number of cells and transcripts per cell were consistent and optimal for downstream discovery analyses. In conclusion, we developed a workflow method that can provide insights into the mechanisms of cancer adhesion to endothelial cells, and identify new targets for personalized treatments development for the clinic to prevent and/or treat breast cancer metastasis formation.
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关键词
firm adhesion,endothelial cells,cancer,transcriptomic analyses,single-cell,patient-derived
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