Scaling and automation of a high-throughput single-cell-derived tumor sphere assay chip

Yu Heng Cheng, Yu Chih Chen, Riley Brien, Euisik Yoon

Research output: Contribution to journalArticlepeer-review

33 Citations (Scopus)

Abstract

Recent research suggests that cancer stem-like cells (CSCs) are the key subpopulation for tumor relapse and metastasis. Due to cancer plasticity in surface antigen and enzymatic activity markers, functional tumorsphere assays are promising alternatives for CSC identification. To reliably quantify rare CSCs (1-5%), thousands of single-cell suspension cultures are required. While microfluidics is a powerful tool in handling single cells, previous works provide limited throughput and lack automatic data analysis capability required for high-throughput studies. In this study, we present the scaling and automation of high-throughput single-cell-derived tumor sphere assay chips, facilitating the tracking of up to ∼10 000 cells on a chip with ∼76.5% capture rate. The presented cell capture scheme guarantees sampling a representative population from the bulk cells. To analyze thousands of single-cells with a variety of fluorescent intensities, a highly adaptable analysis program was developed for cell/sphere counting and size measurement. Using a Pluronic® F108 (poly(ethylene glycol)-block-poly(propylene glycol)-block-poly(ethylene glycol)) coating on polydimethylsiloxane (PDMS), a suspension culture environment was created to test a controversial hypothesis: whether larger or smaller cells are more stem-like defined by the capability to form single-cell-derived spheres. Different cell lines showed different correlations between sphere formation rate and initial cell size, suggesting heterogeneity in pathway regulation among breast cancer cell lines. More interestingly, by monitoring hundreds of spheres, we identified heterogeneity in sphere growth dynamics, indicating the cellular heterogeneity even within CSCs. These preliminary results highlight the power of unprecedented high-throughput and automation in CSC studies.

Original languageEnglish
Pages (from-to)3708-3717
Number of pages10
JournalLab on a chip
Volume16
Issue number19
DOIs
Publication statusPublished - 2016

Bibliographical note

Funding Information:
This study was supported in part by NIH R21 CA175857 and 1R21 CA195016-01A1. Device fabrication by the Lurie Nanofabrication Facility of the University of Michigan (Ann Arbor, MI) is greatly appreciated. The authors also thank Dr. Gary Luker's lab, Dr. Sofia Merajver's lab and Dr. Max Wicha's lab for providing cells for the experiments.

Publisher Copyright:
© 2016 The Royal Society of Chemistry.

All Science Journal Classification (ASJC) codes

  • Bioengineering
  • Biochemistry
  • Chemistry(all)
  • Biomedical Engineering

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