Data from: A classification system for zebrafish adipose tissues
收藏DataCite Commons2025-06-01 更新2025-05-10 收录
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https://datadryad.org/dataset/doi:10.5061/dryad.98470
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资源简介:
The zebrafish model system offers significant utility for in vivo imaging
of adipose tissue (AT) dynamics and for screening to identify chemical and
genetic modifiers of adiposity. In particular, AT can be quantified
accurately in live zebrafish using fluorescent lipophilic dyes. Although
this methodology offers considerable promise, the comprehensive
identification and classification of zebrafish ATs has not been performed.
Here, we use fluorescent lipophilic dyes and in vivo imaging
systematically to identify, classify and quantify the zebrafish AT pool.
We identify 34 regionally distinct zebrafish ATs, including five visceral
ATs and 22 subcutaneous ATs. For each of these ATs, we describe detailed
morphological characteristics to aid their identification in future
studies. Furthermore, 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. Altogether, this resource provides
foundational information on the identity, dynamics and expected quantities
of zebrafish ATs for use as a reference for future studies.
提供机构:
Dryad
创建时间:
2017-03-16



