Institute of Cancer and Genomic Sciences, Birmingham Centre for Genome Biology, College of Medical and Dental Sciences, University of Birmingham, Birmingham B15 2TT, UK.
Institute of Clinical Sciences, Faculty of Medicine, Imperial College London, Hammersmith Hospital Campus, London SW7 2AZ, UK.
Dis Model Mech. 2023 Aug 1;16(8). doi: 10.1242/dmm.050280. Epub 2023 Aug 2.
In the past decades, the zebrafish has become a disease model with increasing popularity owing to its advantages that include fast development, easy genetic manipulation, simplicity for imaging, and sharing conserved disease-associated genes and pathways with those of human. In parallel, studies of disease mechanisms are increasingly focusing on non-coding mutations, which require genome annotation maps of regulatory elements, such as enhancers and promoters. In line with this, genomic resources for zebrafish research are expanding, producing a variety of genomic data that help in defining regulatory elements and their conservation between zebrafish and humans. Here, we discuss recent developments in generating functional annotation maps for regulatory elements of the zebrafish genome and how this can be applied to human diseases. We highlight community-driven developments, such as DANIO-CODE, in generating a centralised and standardised catalogue of zebrafish genomics data and functional annotations; consider the advantages and limitations of current annotation maps; and offer considerations for interpreting and integrating existing maps with comparative genomics tools. We also discuss the need for developing standardised genomics protocols and bioinformatic pipelines and provide suggestions for the development of analysis and visualisation tools that will integrate various multiomic bulk sequencing data together with fast-expanding data on single-cell methods, such as single-cell assay for transposase-accessible chromatin with sequencing. Such integration tools are essential to exploit the multiomic chromatin characterisation offered by bulk genomics together with the cell-type resolution offered by emerging single-cell methods. Together, these advances will build an expansive toolkit for interrogating the mechanisms of human disease in zebrafish.
在过去的几十年中,由于斑马鱼具有发育迅速、遗传操作简单、成像方便以及与人类共享保守的疾病相关基因和途径等优势,它已成为一种越来越受欢迎的疾病模型。与此同时,疾病机制的研究越来越关注非编码突变,这需要对调控元件(如增强子和启动子)的基因组注释图谱进行研究。与此相适应,斑马鱼研究的基因组资源不断扩大,产生了各种基因组数据,有助于定义调控元件及其在斑马鱼和人类之间的保守性。在这里,我们讨论了为斑马鱼基因组的调控元件生成功能注释图谱的最新进展,以及如何将其应用于人类疾病。我们强调了社区驱动的发展,例如 DANIO-CODE,它生成了一个集中化和标准化的斑马鱼基因组学数据和功能注释目录;考虑了当前注释图谱的优缺点;并提供了关于解释和整合现有图谱与比较基因组学工具的考虑因素。我们还讨论了开发标准化基因组学协议和生物信息学管道的必要性,并为开发分析和可视化工具提供了建议,这些工具将整合各种多组学批量测序数据以及单细胞方法(例如,带有测序的转座酶可及染色质的单细胞分析)快速扩展的数据。这种集成工具对于利用批量基因组学提供的多组学染色质特征以及新兴的单细胞方法提供的细胞类型分辨率至关重要。这些进展将共同为在斑马鱼中研究人类疾病的机制构建一个广泛的工具包。