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BioSig3D:三维细胞培养模型的高内涵筛选

BioSig3D: High Content Screening of Three-Dimensional Cell Culture Models.

作者信息

Bilgin Cemal Cagatay, Fontenay Gerald, Cheng Qingsu, Chang Hang, Han Ju, Parvin Bahram

机构信息

Lawrence Berkeley National Laboratory, Life Sciences Division, Berkeley, CA, United States of America.

University of Nevada, Reno, Department of Electrical and Biomedical Engineering, Reno, NV, United States of America.

出版信息

PLoS One. 2016 Mar 15;11(3):e0148379. doi: 10.1371/journal.pone.0148379. eCollection 2016.

Abstract

BioSig3D is a computational platform for high-content screening of three-dimensional (3D) cell culture models that are imaged in full 3D volume. It provides an end-to-end solution for designing high content screening assays, based on colony organization that is derived from segmentation of nuclei in each colony. BioSig3D also enables visualization of raw and processed 3D volumetric data for quality control, and integrates advanced bioinformatics analysis. The system consists of multiple computational and annotation modules that are coupled together with a strong use of controlled vocabularies to reduce ambiguities between different users. It is a web-based system that allows users to: design an experiment by defining experimental variables, upload a large set of volumetric images into the system, analyze and visualize the dataset, and either display computed indices as a heatmap, or phenotypic subtypes for heterogeneity analysis, or download computed indices for statistical analysis or integrative biology. BioSig3D has been used to profile baseline colony formations with two experiments: (i) morphogenesis of a panel of human mammary epithelial cell lines (HMEC), and (ii) heterogeneity in colony formation using an immortalized non-transformed cell line. These experiments reveal intrinsic growth properties of well-characterized cell lines that are routinely used for biological studies. BioSig3D is being released with seed datasets and video-based documentation.

摘要

BioSig3D是一个用于对在完整三维体积中成像的三维(3D)细胞培养模型进行高内涵筛选的计算平台。它基于从每个菌落中的细胞核分割得出的菌落组织,为设计高内涵筛选分析提供了一个端到端的解决方案。BioSig3D还能够可视化原始和处理后的三维体积数据以进行质量控制,并集成了先进的生物信息学分析。该系统由多个计算和注释模块组成,这些模块通过大量使用受控词汇表耦合在一起,以减少不同用户之间的歧义。它是一个基于网络的系统,允许用户:通过定义实验变量来设计实验,将大量体积图像上传到系统中,分析和可视化数据集,并且要么将计算出的指标显示为热图,要么显示用于异质性分析的表型亚型,要么下载计算出的指标用于统计分析或整合生物学。BioSig3D已通过两个实验用于分析基线菌落形成:(i)一组人乳腺上皮细胞系(HMEC)的形态发生,以及(ii)使用永生化非转化细胞系进行菌落形成的异质性分析。这些实验揭示了常用于生物学研究的特征明确的细胞系的内在生长特性。BioSig3D将与种子数据集和基于视频的文档一起发布。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb9c/4792475/8a8d5f1fc364/pone.0148379.g001.jpg

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