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肿瘤-基质球体共培养物的单细胞光片荧光3D图像。

Single-cell light-sheet fluorescence 3D images of tumour-stroma spheroid multicultures.

作者信息

Diosdi Akos, Piccinini Filippo, Boroczky Timea, Dobra Gabriella, Castellani Gastone, Buzas Krisztina, Horvath Peter, Harmati Maria

机构信息

Synthetic and Systems Biology Unit, HUN-REN Biological Research Centre, Szeged, Hungary.

Single-Cell Technologies Ltd, Szeged, Hungary.

出版信息

Sci Data. 2025 Mar 24;12(1):492. doi: 10.1038/s41597-025-04832-0.

DOI:10.1038/s41597-025-04832-0
PMID:40128531
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11933373/
Abstract

Spheroids are widely used in oncology for testing drugs, but models composed of a single cell line do not fully capture the complexity of the in vivo tumours targeted by chemotherapy. Developing 3D in vitro models that better mimic tumour architecture is a crucial step for the scientific community. To enable more reliable drug testing, we generated multiculture spheroids and analysed cell morphology and distribution over time. This dataset is the first publicly available single-cell light-sheet fluorescence microscopy image collection of 3D multiculture tumour models comprising of three different cell lines analysed at different time points. Specifically, we created models composed of one cancer cell line (melanoma, breast cancer, or osteosarcoma) alongside two stromal cell lines (fibroblasts and endothelial cells). Then, we acquired single-cell resolution light-sheet fluorescence 3D images of the spheroids to analyse spheroid morphology after 24, 48, and 96 hours. The image collection, whole spheroid annotations, and extracted features are publicly available for further research and can support the development of automated analysis models.

摘要

球体在肿瘤学中被广泛用于药物测试,但由单一细胞系组成的模型并不能完全体现化疗所针对的体内肿瘤的复杂性。开发能更好模拟肿瘤结构的三维体外模型是科学界的关键一步。为了实现更可靠的药物测试,我们生成了多种细胞共培养的球体,并分析了细胞形态及其随时间的分布。该数据集是首个公开可用的单细胞光片荧光显微镜图像集,涵盖了由三种不同细胞系组成的三维多种细胞共培养肿瘤模型,且在不同时间点进行了分析。具体而言,我们创建了由一种癌细胞系(黑色素瘤、乳腺癌或骨肉瘤)与两种基质细胞系(成纤维细胞和内皮细胞)组成的模型。然后,我们获取了球体的单细胞分辨率光片荧光三维图像,以分析24、48和96小时后的球体形态。该图像集、整个球体的注释以及提取的特征均可公开获取,以供进一步研究,并可支持自动化分析模型的开发。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d691/11933373/826062d2cb3b/41597_2025_4832_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d691/11933373/2b70bb9106bd/41597_2025_4832_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d691/11933373/826062d2cb3b/41597_2025_4832_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d691/11933373/2b70bb9106bd/41597_2025_4832_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d691/11933373/826062d2cb3b/41597_2025_4832_Fig2_HTML.jpg

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