Data from: A classification system for zebrafish adipose tissues

The zebrafish model system offers significant utility for in vivo imaging of adipose tissue (AT) dynamics, and screening to identify chemical and genetic modifiers of adiposity. In particular, AT can be accurately quantified in live zebrafish using fluorescent lipophilic dyes (FLDs). Although, this methodology offers considerable promise, the comprehensive identification and classification of zebrafish ATs has not been performed. Here we utilize FLDs and in vivo imaging to systematically identify, classify and quantify the zebrafish AT pool. We identify 34 regionally distinct zebrafish ATs, including 5 visceral ATs (VATs) and 22 subcutaneous ATs (SATs). For each of these ATs we describe detailed morphological characteristics to aid their identification in future studies. Further, we quantify the areas for each AT, and construct regression models to allow prediction of expected AT size and variation across a range of developmental stages. Finally, we demonstrate the utility of this resource for identifying effects of strain variation and high-fat diet on AT growth. Together, this resource provides foundational information on the identity, dynamics, and expected quantities of zebrafish ATs for use as a reference for future studies.斑马鱼模型系统在脂肪组织（Adipose Tissue, AT）动态的活体成像以及筛选鉴定肥胖相关化学与遗传修饰因子领域具备重要应用价值。具体而言，可利用荧光亲脂性染料（Fluorescent Lipophilic Dyes, FLDs）对活体斑马鱼体内的AT进行精准定量。尽管该方法颇具应用前景，但目前尚未完成斑马鱼AT的全面鉴定与分类工作。本研究借助FLDs与活体成像技术，系统性地完成了斑马鱼AT库的鉴定、分类与定量工作。本研究共鉴定出34种具有区域特异性的斑马鱼AT，其中包括5种内脏脂肪组织（Visceral Adipose Tissue, VATs）与22种皮下脂肪组织（Subcutaneous Adipose Tissue, SATs）。针对每一类AT，本研究均详细描述了其形态学特征，以辅助后续研究中对各类AT的识别。此外，本研究对每一类AT的面积进行了定量，并构建了回归模型，可用于预测不同发育阶段下AT的预期尺寸及其变异情况。最后，本研究验证了该数据集资源在探究品系差异与高脂饮食对AT生长影响方面的应用价值。综上，本研究提供了斑马鱼AT的身份特征、动态变化规律与预期定量数据等基础信息，可为后续相关研究提供参考基准。