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detectCilia:一个用于自动检测和测量初级纤毛长度的R软件包。

detectCilia: An R Package for Automated Detection and Length Measurement of Primary Cilia.

作者信息

Budde-Sagert Kai, Krueger Simone, Sehlke Clemens, Lemcke Heiko, Jonitz-Heincke Anika, David Robert, Bader Rainer, Uhrmacher Adelinde M

机构信息

Institute of Communications Engineering, University of Rostock, Rostock, Germany.

Institute for Visual and Analytic Computing, University of Rostock, Rostock, Germany.

出版信息

Bioinform Biol Insights. 2024 Oct 18;18:11779322241280431. doi: 10.1177/11779322241280431. eCollection 2024.

Abstract

BACKGROUND AND OBJECTIVE

The primary cilium is a small protrusion found on most mammalian cells. It acts as a cellular antenna, being involved in various cell signaling pathways. The length of the primary cilium affects its function. To study the impact of physical or chemical stimuli on cilia, their lengths must be determined easily and reproducibly.

METHODS

We have developed and evaluated an open-source R package called detectCilia to detect and measure primary cilia automatically. As a case study to demonstrate the capability of our tool, we compared the influence of 4 different cell culture media compositions on the lengths of primary cilia in human chondrocytes. These media compositions include (1) insulin-transferrin-selenium (ITS); (2) ITS and dexamethasone (Dexa); (3) ITS, Dexa, insulin-like growth factor 1 (IGF-1), and transforming growth factor beta 1 (TGF-β1); and (4) fetal bovine serum (FBS).

RESULTS

The assessment of detectCilia included a comparison with 2 similar tools: ACDC (Automated Cilia Detection in Cells) and CiliaQ. Several differences and advantages of our package make it a valuable addition to these tools. In the case study, we have observed variations in the ciliary lengths associated with using different media compositions.

CONCLUSIONS

We conclude that detectCilia can automatically and reproducibly detect and measure primary cilia in confocal microscopy images with low false-positive rates without requiring extensive user interaction.

摘要

背景与目的

初级纤毛是在大多数哺乳动物细胞上发现的一种小突起。它作为细胞的天线,参与各种细胞信号通路。初级纤毛的长度会影响其功能。为了研究物理或化学刺激对纤毛的影响,必须能够轻松且可重复地确定它们的长度。

方法

我们开发并评估了一个名为detectCilia的开源R包,用于自动检测和测量初级纤毛。作为一个案例研究以展示我们工具的能力,我们比较了4种不同细胞培养基成分对人软骨细胞中初级纤毛长度的影响。这些培养基成分包括:(1)胰岛素-转铁蛋白-硒(ITS);(2)ITS和地塞米松(Dexa);(3)ITS、Dexa、胰岛素样生长因子1(IGF-1)和转化生长因子β1(TGF-β1);以及(4)胎牛血清(FBS)。

结果

对detectCilia的评估包括与另外2种类似工具的比较:ACDC(细胞中自动纤毛检测)和CiliaQ。我们的软件包存在一些差异和优势,使其成为这些工具的一个有价值的补充。在案例研究中,我们观察到使用不同培养基成分时纤毛长度的变化。

结论

我们得出结论,detectCilia能够在共聚焦显微镜图像中自动且可重复地检测和测量初级纤毛,假阳性率低,且无需大量用户交互。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/575a/11490958/4416d1b3248c/10.1177_11779322241280431-fig1.jpg

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