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

IF 2.3 Q3 BIOCHEMICAL RESEARCH METHODS Bioinformatics and Biology Insights Pub Date : 2024-10-18 eCollection Date: 2024-01-01 DOI:10.1177/11779322241280431
Kai Budde-Sagert, Simone Krueger, Clemens Sehlke, Heiko Lemcke, Anika Jonitz-Heincke, Robert David, Rainer Bader, Adelinde M Uhrmacher
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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.

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detectCilia:用于自动检测初级纤毛并测量其长度的 R 软件包。
背景和目的:初级纤毛是大多数哺乳动物细胞上的一个小突起。它充当细胞天线,参与各种细胞信号传导途径。初级纤毛的长度会影响其功能。要研究物理或化学刺激对纤毛的影响,就必须轻松且可重复地测定纤毛的长度:我们开发并评估了一个名为 detectCilia 的开源 R 软件包,用于自动检测和测量初级纤毛。作为展示我们工具能力的案例研究,我们比较了 4 种不同细胞培养基成分对人类软骨细胞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):对 detectCilia 的评估包括与两种类似工具的比较:结果:对 detectCilia 的评估包括与两个类似工具的比较:ACDC(细胞中纤毛自动检测)和 CiliaQ。我们的软件包的一些不同之处和优势使其成为这些工具的重要补充。在案例研究中,我们观察到了与使用不同培养基成分有关的纤毛长度变化:我们得出的结论是,detectCilia 可以在共聚焦显微镜图像中自动、可重复地检测和测量初级纤毛,而且假阳性率低,无需大量的用户交互。
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来源期刊
Bioinformatics and Biology Insights
Bioinformatics and Biology Insights BIOCHEMICAL RESEARCH METHODS-
CiteScore
6.80
自引率
1.70%
发文量
36
审稿时长
8 weeks
期刊介绍: Bioinformatics and Biology Insights is an open access, peer-reviewed journal that considers articles on bioinformatics methods and their applications which must pertain to biological insights. All papers should be easily amenable to biologists and as such help bridge the gap between theories and applications.
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