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Flipped Well-Plate Hanging-Drop Technique for Growing Three-Dimensional Tumors
Yoon Jeong1,2, Ashley Tin3, Joseph Irudayaraj1,2,4
1Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL, United States.
Frontiers in Bioengineering and Biotechnology
|July 21, 2022
Summary
A new well-plate flip (WPF) method enables easy, standardized 3D tumor culture in standard plates. This technique facilitates the growth of large tumor spheroids for cancer research and drug development.
Area of Science:
- Biotechnology
- Cancer Research
- Cell Biology
Background:
- Three-dimensional (3D) tumor cultures are valuable in vitro models for cancer research.
- Current 3D tumor culturing methods often lack standardization and are difficult to replicate outside of specialized labs.
- There is a need for accessible and user-friendly 3D tumor culture techniques.
Purpose of the Study:
- To introduce a straightforward and user-friendly 3D tumor culture method using standard 96-well plates.
- To demonstrate the applicability of this method for scaffold-free and scaffold-based tumor culture.
- To facilitate the standardization and broader adoption of 3D tumor models in research.
Main Methods:
- Development of the well-plate flip (WPF) method for generating hanging drops in standard 96-well plates.
- Utilizing human colorectal carcinoma cells (HCT116) for spheroid generation.
- Demonstration of both scaffold-free and matrix-assisted 3D tumor culture techniques.
Main Results:
- Successful generation of large, scaffold-free 3D tumor spheroids exceeding 1.5 mm in diameter.
- The WPF method is adaptable for various cell biology applications, including cancer research.
- Proof-of-concept for matrix-assisted tumor culture using the developed approach.
Conclusions:
- The WPF method offers a simple, accessible, and versatile approach for 3D tumor spheroid formation.
- This technique addresses the limitations of current 3D culture methods, promoting standardization.
- The WPF method has broad applicability in basic and applied biological and engineering research, advancing cancer modeling.

