样本准备用于多个omics分析:考虑和指导,以确定理想的工作流.
Breyer Woodland1, Luke A Farrell1, Lana Brockbals2,3
1School of Life Sciences and Proteomics, Lipidomics and Metabolomics Core Facility, Faculty of Science, University of Technology Sydney, Ultimo, New South Wales, Australia.
Proteomics
|June 23, 2025
概括
最近的进展允许对单细胞生物分子进行深入分析. 本综述探讨了不断发展的多组学领域,整合了不同的分子层,以了解细胞表型变化.
科学领域:
- 生物化学 生物化学
- 系统生物学 系统生物学
- 基因组学就是基因组学.
背景情况:
- 单细胞分析技术迅速发展,使得基因组,转录和蛋白质的深度分析成为可能.
- 传统上,奥米克分析 (基因组学,转录组学,蛋白质组学) 是单独进行的.
- 系统生物学中的一个日益增长的趋势是从相同的生物样本中集成多个omics数据集.
研究的目的:
- 定义多学科领域及其当前的方法.
- 识别挑战并评估当前多学科方法的适用性.
- 建议多学科研究的未来方向.
主要方法:
- 审查当前的多主题方法和技术.
- 批判性评价不同omics数据的整合.
- 分析多主题数据解释方面的挑战.
主要成果:
- 多omics的方法正在变得越来越复杂和强大.
- 在数据集成,标准化和解释方面仍然存在重大挑战.
- 当前的多学科研究往往将不同分子层视为单独的实体.
结论:
- 多omics领域正在迅速发展,为细胞复杂性提供了更深入的见解.
- 需要进一步发展,以有效地整合和分析各种各样的omics数据.
- 提高我们对不同奥米克层的生物分子相互作用的理解,对于破译细胞反应至关重要.
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