Department of Biomedical Engineering, University of Virginia, Charlottesville, Virginia, USA.
Hubrecht Institute for Developmental Biology and Stem Cell Research, 3584 CT, Utrecht, The Netherlands.
Sci Rep. 2018 Mar 28;8(1):5319. doi: 10.1038/s41598-017-18815-8.
Spheroid and organoid cultures are powerful in vitro models for biology, but size and shape diversity within the culture is largely ignored. To streamline morphometric profiling, we developed OrganoSeg, an open-source software that integrates segmentation, filtering, and analysis for archived brightfield images of 3D culture. OrganoSeg is more accurate and flexible than existing platforms, and we illustrate its potential by stratifying 5167 breast-cancer spheroid and 5743 colon and colorectal-cancer organoid morphologies. Organoid transcripts grouped by morphometric signature heterogeneity were enriched for biological processes not prominent in the original RNA sequencing data. OrganoSeg enables complete, objective quantification of brightfield phenotypes, which may give insight into the molecular and multicellular mechanisms of organoid regulation.
球体和类器官培养物是生物学中强大的体外模型,但培养物内的大小和形状多样性在很大程度上被忽略了。为了简化形态计量分析,我们开发了 OrganoSeg,这是一个开源软件,可对 3D 培养物的存档明场图像进行分割、过滤和分析。OrganoSeg 比现有平台更准确、更灵活,我们通过对 5167 个乳腺癌球体和 5743 个结肠和结直肠癌细胞球体形态进行分层来阐明其潜力。根据形态计量特征异质性对类器官转录本进行分组,这些分组富含在原始 RNA 测序数据中不显著的生物学过程。OrganoSeg 可以实现明场表型的完整、客观量化,这可能有助于深入了解类器官调控的分子和多细胞机制。