Journal of Nanobiotechnology (May 2020)

Negative depletion mediated brightfield circulating tumour cell identification strategy on microparticle-based microfluidic chip

  • Shuibing Wang,
  • Shaoli Hong,
  • Shijia Cai,
  • Jia Lei,
  • Jinyao Chen,
  • Nangang Zhang,
  • Zhao Ai,
  • Kan Liu,
  • Man Tang

DOI
https://doi.org/10.1186/s12951-020-00623-4
Journal volume & issue
Vol. 18, no. 1
pp. 1 – 9

Abstract

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Abstract Background The most convenient circulating tumor cells (CTCs) identification method is direct analysis of cells under bright field microscopy by which CTCs can be comprehensive studied based on morphology, phenotype or even cellular function. However, universal cell markers and a standard tumour cell map do not exist, thus limiting the clinical application of CTCs. Results This paper focuses on an automatic and convenient negative depletion strategy for circulating tumour cell identification under bright field microscopy. In this strategy, immune microparticles (IMPs) are applied to negatively label white blood cells rather than the tumour cells, such that tumour cells can be directly distinguished under brightfield of the microscopy. In this way, all of the heterogeneous tumour cells and their phenotype properties can be retained for further cancer-related studies. In addition, a wedge-shaped microfluidic chip is constructed for heterogeneous CTC pre-purification and enrichment by size, thus significantly decreasing the interference of haematological cells. Additionally, all cell treatments are processed automatically, and the tumour cells can be rapidly counted and distinguished via customized cell analytical software, showing high detection efficiency and automation. This IMPs based negative cell labelling strategy can also be combined with other classic cell identification methods, thus demonstrating its excellent compatibility. Conclusion This identification strategy features simple and harmless for tumour cells, as well as excellent accuracy and efficiency. And the low equipment demand and high automation level make it promise for extensive application in basic medical institutions.

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