Internal Medicine, Division of Thrombosis and Hemostasis, Leiden University Medical Center, Leiden, The Netherlands.
Hematology, Erasmus University Medical Center, Rotterdam, The Netherlands.
PLoS One. 2023 Jun 14;18(6):e0278009. doi: 10.1371/journal.pone.0278009. eCollection 2023.
One of the most used and versatile methods to study number, dimensions, content and localization of secretory organelles is confocal microscopy analysis. However, considerable heterogeneity exists in the number, size and shape of secretory organelles that can be present in the cell. One thus needs to analyze large numbers of organelles for valid quantification. Properly evaluating these parameters requires an automated, unbiased method to process and quantitatively analyze microscopy data. Here, we describe two pipelines, run by CellProfiler software, called OrganelleProfiler and OrganelleContentProfiler. These pipelines were used on confocal images of endothelial colony forming cells (ECFCs), which contain unique secretory organelles called Weibel-Palade bodies (WPBs), and on early endosomes in ECFCs and human embryonic kidney 293T (HEK293T) cells. Results show that the pipelines can quantify the cell count, size, organelle count, organelle size, shape, relation to cells and nuclei, and distance to these objects in both endothelial and HEK293T cells. Additionally, the pipelines were used to measure the reduction in WPB size after disruption of the Golgi and to quantify the perinuclear clustering of WPBs after triggering of cAMP-mediated signaling pathways in ECFCs. Furthermore, the pipeline is able to quantify secondary signals located in or on the organelle or in the cytoplasm, such as the small WPB GTPase Rab27A. Cell profiler measurements were checked for validity using Fiji. To conclude, these pipelines provide a powerful, high-processing quantitative tool for the characterization of multiple cell and organelle types. These pipelines are freely available and easily editable for use on different cell types or organelles.
研究分泌细胞器数量、维度、内容和定位的最常用和多功能方法之一是共聚焦显微镜分析。然而,细胞中存在的分泌细胞器数量、大小和形状存在相当大的异质性。因此,需要分析大量的细胞器进行有效量化。正确评估这些参数需要一种自动、无偏的方法来处理和定量分析显微镜数据。在这里,我们描述了两个由 CellProfiler 软件运行的管道,称为 OrganelleProfiler 和 OrganelleContentProfiler。这些管道用于内皮细胞形成集落形成细胞(ECFC)的共聚焦图像,这些细胞包含称为 Weibel-Palade 体(WPB)的独特分泌细胞器,以及内皮细胞和人胚肾 293T(HEK293T)细胞中的早期内体。结果表明,这些管道可以量化细胞计数、大小、细胞器计数、细胞器大小、形状、与细胞和核的关系以及与这些物体的距离,无论是在内皮细胞还是 HEK293T 细胞中。此外,该管道还用于测量高尔基破坏后 WPB 大小的减少,并在 ECFC 中触发 cAMP 介导的信号通路后定量 WPB 的核周聚集。此外,该管道能够定量位于细胞器或细胞质内或细胞器上的二次信号,例如小 WPB GTPase Rab27A。使用 Fiji 检查了 Cell Profiler 测量的有效性。总之,这些管道为多种细胞和细胞器类型的特征提供了强大、高处理的定量工具。这些管道是免费提供的,并且可以轻松编辑以用于不同的细胞类型或细胞器。