Analysis of Craniomaxillofacial Malformations in Mice Using Three-dimensional Microcomputed Tomography.

IF 1.2 4区 综合性期刊 Q3 MULTIDISCIPLINARY SCIENCES Jove-Journal of Visualized Experiments Pub Date : 2025-01-17 DOI:10.3791/67340
Bingxin Zan, Siyuan Sun, Yu Zhao, Qinggang Dai
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Abstract

To model craniofacial malformations caused by vitamin A deficiency (VAD), we expressed a dominant-negative retinoid receptor mutation in osteoblasts to specifically inhibit RAR transcriptional activity in mice. This approach allowed us to investigate the effects of VAD on cranial hypomineralization, mandibular deformity, and clavicular hypoplasia in clinical cases. In this study, microcomputed tomography (microCT) scanning of the craniomaxillofacial region of mice represented a valuable tool for studying the growth and development of this animal model. The manual estimation of images is both time-consuming and inaccurate. Hence, here, we present a straightforward, efficient, and accurate approach for segmenting and quantifying the microCT images of each craniomaxillofacial bone. MicroCT software was used to slice the mandible, frontal bone, parietal bone, nasal bone, premaxilla, maxilla, interparietal bone, and occipital bone of mice and measure their corresponding lengths and widths. This segmentation method can be applied to study growth and development in developmental biology, biomedicine, and other related sciences and allows researchers to analyze the effects of genetic mutations on individual craniofacial bones.

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三维微计算机断层扫描对小鼠颅颌面畸形的分析。
为了模拟由维生素A缺乏症(VAD)引起的颅面畸形,我们在成骨细胞中表达了一个显性阴性的类视黄醇受体突变,以特异性抑制小鼠RAR的转录活性。这种方法使我们能够在临床病例中研究VAD对颅矿化程度低、下颌畸形和锁骨发育不全的影响。在本研究中,对小鼠颅颌面区域的微ct扫描为研究该动物模型的生长发育提供了有价值的工具。人工对图像进行估计既耗时又不准确。因此,在这里,我们提出了一种简单、高效、准确的方法来分割和量化每个颅颌面骨的微ct图像。采用MicroCT软件对小鼠下颌骨、额骨、顶骨、鼻骨、前颌骨、上颌骨、顶骨间骨、枕骨进行切片,测量其相应的长度和宽度。这种分割方法可以应用于发育生物学、生物医学和其他相关科学的生长发育研究,并允许研究人员分析基因突变对个体颅面骨的影响。
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来源期刊
Jove-Journal of Visualized Experiments
Jove-Journal of Visualized Experiments MULTIDISCIPLINARY SCIENCES-
CiteScore
2.10
自引率
0.00%
发文量
992
期刊介绍: JoVE, the Journal of Visualized Experiments, is the world''s first peer reviewed scientific video journal. Established in 2006, JoVE is devoted to publishing scientific research in a visual format to help researchers overcome two of the biggest challenges facing the scientific research community today; poor reproducibility and the time and labor intensive nature of learning new experimental techniques.
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