A semi-automated pipeline for quantifying drusen-like deposits in human induced pluripotent stem cell-derived retinal pigment epithelium cells

IF 2.5 4区 医学 Q3 BIOCHEMICAL RESEARCH METHODS SLAS Technology Pub Date : 2024-06-01 DOI:10.1016/j.slast.2023.08.006
Jenna Hall , Maciej Daniszewski , Shane Cheung , Kalyan Shobhana , Himeesh Kumar , Helena H Liang , Henry Beetham , Ellie Cho , Carla Abbott , Alex W Hewitt , Kaylene J Simpson , Robyn H Guymer , Daniel Paull , Alice Pébay , Grace E. Lidgerwood
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Abstract

Age-Related Macular Degeneration (AMD) is a highly prevalent form of retinal disease amongst Western communities over 50 years of age. A hallmark of AMD pathogenesis is the accumulation of drusen underneath the retinal pigment epithelium (RPE), a biological process also observable in vitro. The accumulation of drusen has been shown to predict the progression to advanced AMD, making accurate characterisation of drusen in vitro models valuable in disease modelling and drug development. More recently, deposits above the RPE in the subretinal space, called reticular pseudodrusen (RPD) have been recognized as a sub-phenotype of AMD. While in vitro imaging techniques allow for the immunostaining of drusen-like deposits, quantification of these deposits often requires slow, low throughput manual counting of images. This further lends itself to issues including sampling biases, while ignoring critical data parameters including volume and precise localization. To overcome these issues, we developed a semi-automated pipeline for quantifying the presence of drusen-like deposits in vitro, using RPE cultures derived from patient-specific induced pluripotent stem cells (iPSCs). Using high-throughput confocal microscopy, together with three-dimensional reconstruction, we developed an imaging and analysis pipeline that quantifies the number of drusen-like deposits, and accurately and reproducibly provides the location and composition of these deposits. Extending its utility, this pipeline can determine whether the drusen-like deposits locate to the apical or basal surface of RPE cells. Here, we validate the utility of this pipeline in the quantification of drusen-like deposits in six iPSCs lines derived from patients with AMD, following their differentiation into RPE cells. This pipeline provides a valuable tool for the in vitro modelling of AMD and other retinal disease, and is amenable to mid and high throughput screenings.

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用于量化人类诱导多能干细胞衍生视网膜色素上皮细胞中黑斑样沉积的半自动化管道
年龄相关性黄斑变性(AMD)是西方国家 50 岁以上人群中发病率很高的一种视网膜疾病。视网膜色素上皮(RPE)下面的色素沉着是老年性黄斑变性发病机制的一个标志,这一生物过程也可在体外观察到。研究表明,视网膜色素上皮下的色素沉积可预测晚期老年性视网膜病变的进展,因此,在体外模型中准确描述视网膜色素沉积的特征对于疾病建模和药物开发非常重要。最近,视网膜下间隙中 RPE 上部的沉积物(称为网状假性黄斑(RPD))被认为是老年性黄斑变性的一种亚表型。虽然体外成像技术可以对类风湿沉积物进行免疫染色,但这些沉积物的量化往往需要缓慢、低通量的人工图像计数。这就进一步导致了取样偏差等问题,同时忽略了包括体积和精确定位在内的关键数据参数。为了克服这些问题,我们开发了一种半自动化管道,利用从患者特异性诱导多能干细胞(iPSCs)中提取的 RPE 培养物,在体外量化是否存在类葡萄色素沉积。利用高通量共聚焦显微镜和三维重建技术,我们开发出一种成像和分析流水线,可量化类葡萄色素沉积的数量,并准确、可重复地提供这些沉积的位置和组成。为了扩展其用途,该工具还能确定葡萄色素样沉积是位于 RPE 细胞的顶端还是基底表面。在此,我们验证了这一方法在六种来自 AMD 患者的 iPSCs 细胞系分化成 RPE 细胞后,对类色素沉积进行量化的实用性。该方法为 AMD 和其他视网膜疾病的体外建模提供了宝贵的工具,并适合中高通量筛选。
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来源期刊
SLAS Technology
SLAS Technology Computer Science-Computer Science Applications
CiteScore
6.30
自引率
7.40%
发文量
47
审稿时长
106 days
期刊介绍: SLAS Technology emphasizes scientific and technical advances that enable and improve life sciences research and development; drug-delivery; diagnostics; biomedical and molecular imaging; and personalized and precision medicine. This includes high-throughput and other laboratory automation technologies; micro/nanotechnologies; analytical, separation and quantitative techniques; synthetic chemistry and biology; informatics (data analysis, statistics, bio, genomic and chemoinformatics); and more.
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