"多omics"数据集成:在益生菌研究中的应用
Iliya Dauda Kwoji1, Olayinka Ayobami Aiyegoro2, Moses Okpeku1
1Discipline of Genetics, School of Life Sciences, College of Agriculture, Engineering and Sciences, University of KwaZulu-Natal, 4090, Durban, South Africa.
NPJ science of food
|June 5, 2023
概括
多omics方法提高了选择和对益生菌的理解. 整合从基因组学到代谢学的数据,可以全面了解益生菌的功能及其对宿主微生物群的影响.
科学领域:
- 微生物科学 微生物科学
- 系统生物学 系统生物学
- 营养保健品 营养保健品
背景情况:
- 益生菌调节宿主免疫力和微生物组合.
- 广泛的益生菌表征产生了大量的"奥米克"数据.
- 单一的"omics"方法在捕捉复杂的生物相互作用方面存在局限性.
研究的目的:
- 审查在益生菌研究中使用的不同"奥米克"技术.
- 阐明在益生菌中多种omics应用的理由和好处.
- 强调微生物组分析数据整合平台的重要性.
主要方法:
- 基因组学就是基因组学.
- 文字转录学 (Transcriptomics) 是一个学科.
- 蛋白质组学是指蛋白质组学.
- 代谢学 代谢学 代谢学
- 利皮多米克 (Lipidomics) 是一种消化剂.
- 多omics数据集成多omics数据集成
主要成果:
- 多omics方法提供了对益生菌机制的全面理解.
- 数据集成平台有助于分析复杂的益生菌-宿主-微生物群相互作用.
- "奥米克"技术揭示了受益生菌影响的调控特征和表型.
结论:
- 对于有效的益生菌选择和功能评估而言,多种体质至关重要.
- 为研究益生菌和微生物组,建议采用一个整体的,多组的策略.
- 整合多样化的"omics"数据可以提高对益生菌疗效和宿主反应的洞察力.
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