转录调节的比较基因组学和表观基因组学
Huaijun Zhou1, Emily Clark2, Dailu Guan1
1Department of Animal Science, University of California, Davis, California, USA; email: hzhou@ucdavis.edu, dguan@ucdavis.edu, qtlcheng@ucdavis.edu, ucywang@ucdavis.edu.
Annual review of animal biosciences
|November 20, 2024
概括
了解基因调节需要先进的基因组学和表观基因组学. 未来的研究应该产生多样化的表观基因组数据,特别是农场动物,以弥合基因型-表型差距.
科学领域:
- 基因组学就是基因组学.
- 表观基因组学是指表观基因组学.
- 转录条例 转录条例 转录条例
背景情况:
- 转录调节是复杂的,受生理学线索的影响.
- 全基因组测序和调控元件注释有助于进一步理解.
- 对比基因组学和表观基因组学识别受约束的调节变异和非编码元素.
研究的目的:
- 突出在不同生理条件下需要多维表观遗传学数据的需要.
- 解决基因型和表型之间的差距.
- 探索农场动物模型在整合性分析中的潜力.
主要方法:
- 利用全基因组测序和规范元素的注释.
- 使用比较基因组学和表观基因组学数据集.
- 建议未来的研究与多维表观基因组数据生成.
主要成果:
- 目前的表观基因组数据仅限于健康受试者和特定发育阶段.
- 在综合性分析中,农场动物在可行性,成本和实验设计方面具有优势.
- 深度学习,先进的测序和功能选对未来的洞察有希望.
结论:
- 在各种生理状态中生成多样化的表观基因组数据至关重要.
- 农场动物模型对于转录调节的翻译研究有价值.
- 集成深度学习等先进技术将提高对基因调节的理解.
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