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Related Experiment Video

Updated: Jun 10, 2025

A High-Throughput Platform for Culture and 3D Imaging of Organoids
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Microfluidic Chip-Based Automatic System for Sequencing Patient-Derived Organoids at the Single-Cell Level.

Xin Wu1, Bowen Li2,3, Yadong Wang2,3

  • 1Department of Biomedical Engineering, School of Medical Technology, Beijing Institute of Technology, Beijing 100081, China.

Analytical Chemistry
|October 14, 2024
PubMed
Summary

This study introduces MASSO, an automated microfluidic system for single-cell sequencing of patient-derived organoids (PDOs). MASSO improves efficiency and data quality for cancer precision medicine by enabling whole-genome amplification and sequencing of PDOs.

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Area of Science:

  • Biotechnology
  • Genomics
  • Cancer Research

Background:

  • Single-cell sequencing of patient-derived organoids (PDOs) is crucial for understanding organ heterogeneity and advancing cancer precision medicine.
  • Existing methods for PDO single-cell sequencing are inefficient due to limited sample quantity and manual processes, hindering clinical application.

Purpose of the Study:

  • To develop an automated microfluidic system for efficient and high-quality single-cell sequencing of PDOs.
  • To address the limitations of current manual and microfluidic-based single-cell sequencing technologies for clinical tissue samples.

Main Methods:

  • Development of a microfluidic chip-based automatic system named MASSO.
  • Integration of PDO establishment, culturing, digesting, single-cell isolation, lysis, and whole-genome amplification within a single microfluidic chip.
  • Characterization of the organoid single-cell whole-genome amplification chip (OSA-Chip) and the MASSO system.

Main Results:

  • MASSO successfully performed whole-genome sequencing of lung cancer PDOs at the single-cell level, a novel achievement.
  • The system avoids precious PDO loss and ensures high-quality on-chip whole-genome amplification.
  • Automation by MASSO eliminated human error, improving data repeatability and bridging the gap between lab research and clinical practice.

Conclusions:

  • MASSO provides a robust platform for single-cell whole-genome sequencing of PDOs, enabling precise identification of cancer-related and drug-response mutations.
  • The system facilitates a deeper understanding of cell-level heterogeneities in PDOs and their original organs.
  • MASSO lays the technical foundation for improved cancer precision medicine through efficient PDO analysis.