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High Throughput Bioprinting Using Decellularized Adipose Tissue-Based Hydrogels for 3D Breast Cancer Modeling
Priyanshu Shukla1, Ashis Kumar Bera1, Sriya Yeleswarapu1
1Department of Biomedical Engineering, Indian Institute of Technology Hyderabad, Kandi, Sangareddy, Telangana, 502284, India.
Macromolecular Bioscience
|April 30, 2024
Summary
This study developed a high throughput 3D bioprinting method using decellularized adipose tissue hydrogels for breast cancer models. This approach enables rapid in vitro drug screening and personalized disease modeling.
Area of Science:
- Biomaterials Science
- Biotechnology
- Cancer Research
Background:
- 3D bioprinting offers rapid fabrication for high throughput in vitro drug screening.
- Decellularized extracellular matrix (dECM) hydrogels mimic tumor microenvironments for cancer research.
- Decellularized adipose tissue (DAT) hydrogels present a promising biomaterial for 3D cancer modeling.
Purpose of the Study:
- To develop a high throughput bioprinting method for 3D breast cancer models using DAT hydrogels.
- To compare detergent-based and detergent-free decellularization protocols for caprine adipose tissue.
- To assess the efficacy of DAT hydrogel for 3D cancer modeling and in vitro drug screening.
Main Methods:
- Comparative analysis of decellularization protocols for adipose tissue.
- Characterization of DAT hydrogel properties (histological, biochemical, morphological, biological, rheological).
- Optimization of bioprinting parameters for 3D breast cancer model fabrication.
- In vitro drug screening using 5-fluorouracil on 3D bioprinted microtumors.
Main Results:
- DAT hydrogel demonstrated cytocompatibility and suitable rheological properties for bioprinting.
- Successful fabrication of 3D breast cancer models using high throughput bioprinting in a 96-well plate format.
- Demonstrated utility of 3D bioprinted microtumors for in vitro drug screening.
Conclusions:
- High throughput bioprinting of DAT hydrogel is effective for creating 3D breast cancer models.
- This method facilitates rapid in vitro drug screening and holds potential for personalized disease models.
- The developed platform could advance downstream clinical applications in drug development and personalized medicine.

