» Articles » PMID: 35705590

Coplanar Embedding of Multiple 3D Cell Models in Hydrogel Towards High-throughput Micro-histology

Overview
Journal Sci Rep
Specialty Science
Date 2022 Jun 15
PMID 35705590
Authors
Affiliations
Soon will be listed here.
Abstract

Standardised and high-throughput methods have been developed for the production and experimental handling of some 3D in vitro models. However, adapted analytical tools are still missing for scientists and researchers to fully exploit the potential of complex cellular models in pre-clinical drug testing and precision medicine. Histology is the established, cost-effective and gold standard method for structural and functional tissue analysis. However, standard histological processes are challenging and costly to apply to 3D cell models, as their small size often leads to poor alignment of samples, which lowers analysis throughput. This body of work proposes a new approach: HistoBrick facilitates histological processing of spheroids and organoids by enabling gel embedding of 3D cell models with precise coplanar alignment, parallel to the sectioning plane, thus minimising the loss of sample material. HistoBrick's features are compatible with automation standards, potentially allowing automated sample transfer from a multi-well plate to the gel device. Moreover, HistoBrick's technology was validated by demonstrating the alignment of HepG2 cultured spheroids measuring 150-200 µm in diameter with a height precision of ± 80 µm. HistoBrick allows up to 96 samples to be studied across minimal sections, paving the way towards high-throughput micro-histology.

Citing Articles

PEGDA-based HistoBrick for increasing throughput of cryosectioning and immunohistochemistry in organoid and small tissue studies.

Vuille-Dit-Bille E, Utz L, Mullner F, Arteaga-Moreta V, Hou Y, Spirig S Sci Rep. 2025; 15(1):412.

PMID: 39747958 PMC: 11696907. DOI: 10.1038/s41598-024-83164-2.


Advances in high throughput cell culture technologies for therapeutic screening and biological discovery applications.

Ryoo H, Kimmel H, Rondo E, Underhill G Bioeng Transl Med. 2024; 9(3):e10627.

PMID: 38818120 PMC: 11135158. DOI: 10.1002/btm2.10627.

References
1.
Gabriel J, Brennan D, Elisseeff J, Beachley V . Microarray Embedding/Sectioning for Parallel Analysis of 3D Cell Spheroids. Sci Rep. 2019; 9(1):16287. PMC: 6841729. DOI: 10.1038/s41598-019-52007-w. View

2.
Brandenberg N, Hoehnel S, Kuttler F, Homicsko K, Ceroni C, Ringel T . High-throughput automated organoid culture via stem-cell aggregation in microcavity arrays. Nat Biomed Eng. 2020; 4(9):863-874. DOI: 10.1038/s41551-020-0565-2. View

3.
Blakely A, Manning K, Tripathi A, Morgan J . Bio-Pick, Place, and Perfuse: A New Instrument for Three-Dimensional Tissue Engineering. Tissue Eng Part C Methods. 2014; 21(7):737-46. PMC: 4499775. DOI: 10.1089/ten.TEC.2014.0439. View

4.
Schindelin J, Arganda-Carreras I, Frise E, Kaynig V, Longair M, Pietzsch T . Fiji: an open-source platform for biological-image analysis. Nat Methods. 2012; 9(7):676-82. PMC: 3855844. DOI: 10.1038/nmeth.2019. View

5.
Thomsen A, Aldrian C, Bronsert P, Thomann Y, Nanko N, Melin N . A deep conical agarose microwell array for adhesion independent three-dimensional cell culture and dynamic volume measurement. Lab Chip. 2017; 18(1):179-189. DOI: 10.1039/c7lc00832e. View