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Histogel-based techniques for embedding organoids in paraffin blocks enable high throughput downstream
Charles Havnar1, Loryn Holokai2, Ryan Ichikawa3
1Department of Research Pathology, Genentech, Inc., South San Francisco, CA, USA.
Journal of Histotechnology
|September 5, 2024
Summary
This study presents three methods for embedding 3D organoid cultures in paraffin blocks using Histogel. This technique maximizes sample utility for downstream assays, improving organoid research efficiency.
Area of Science:
- Biotechnology
- 3D Tissue Models
- Histology
Background:
- Organoids are advanced in vitro tissue models for studying 3D biology, toxicity, and drug efficacy.
- Current analysis methods like whole mount immunolabeling consume entire samples, limiting downstream applications.
- Fixation of 3D organoid cultures can lead to friability and sample loss during processing.
Purpose of the Study:
- To develop and present methods for processing 3D organoid cultures into paraffin blocks.
- To enable robust characterization of organoids through multiple assays from a single sample.
- To maximize the yield and utility of time- and labor-intensive organoid cultures.
Main Methods:
- Three distinct methods for processing 3D Matrigel organoid cultures into paraffin blocks were developed.
- Histogel was utilized as the embedding agent in all described techniques.
- Methods were evaluated for quality of sections and ease of implementation.
Main Results:
- All three methods successfully produced high-quality histological sections from 3D organoid cultures.
- Processing organoids into paraffin blocks allows for generation of numerous slides from a single culture.
- The techniques offer varying levels of complexity suitable for different research needs.
Conclusions:
- Embedding organoids in paraffin blocks significantly enhances sample preservation and accessibility for diverse analyses.
- These methods provide a valuable alternative to whole mount analysis, reducing sample loss and increasing assay flexibility.
- The described techniques are crucial for maximizing the potential of organoid models in biomedical research.

