跨王国网络分析 (TkNA):用于推断宿主-微生物群和其他多原子相互作用背后的因果因素的系统框架
Nolan K Newman1, Matthew S Macovsky1, Richard R Rodrigues2,3
1College of Pharmacy, Oregon State University, Corvallis, OR, USA.
Nature protocols
|March 13, 2024
概括
跨王国网络分析 (TkNA) 是一种用于分析宿主-微生物群相互作用的新框架. 它确定了多omics数据中的因果关系,在没有大样本大小的情况下确定了疾病中的关键参与者.
科学领域:
- 系统生物学 系统生物学
- 计算生物学是一种计算生物学.
- 微生物组研究的研究.
背景情况:
- 了解复杂的宿主微生物群相互作用对于疾病研究至关重要.
- 现有的多omics方法经常识别关联,而不是因果关系.
- 需要强大的,用户友好的工具来分析集成的omics数据.
研究的目的:
- 引入跨王国网络分析 (TkNA),一个因果推理框架.
- 通过整合多样化的生命学数据,提供对生物系统的整体视图.
- 解读宿主微生物群相互作用中的关键参与者和机制.
主要方法:
- TkNA集成了来自多个队列和omics类型的数据.
- 它重建了生物关系的统计网络模型.
- 因果关系敏感的指标,值和拓标准决定了网络边缘.
主要成果:
- TkNA识别了跨队伍的强大,可复制的模式.
- 它确定了控制子网络和王国间通信的关键节点.
- 网络重建在计算上是高效的,通常需要几分钟.
结论:
- TkNA在多omics数据中建立因果关系,克服了关联研究的局限性.
- 该框架是高效的,用户友好的,不需要大样本大小.
- TkNA提供了一种强大的方法来研究健康和疾病中的复杂生物相互作用.
更多相关视频
14:58High-Throughput Transcriptome Analysis for Investigating Host-Pathogen Interactions
Published on: March 5, 2022
4.2K
09:49Investigation of Microbial Cooperation via Imaging Mass Spectrometry Analysis of Bacterial Colonies Grown on Agar and in Tissue During Infection
Published on: November 18, 2022
2.0K
相关概念视频
Protein Networks
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
Modern Molecular Taxonomy
Advancements in molecular biology have revolutionized the identification and characterization of bacteria, with multiple methods leveraging DNA sequencing for enhanced precision. As sequencing technologies improve and costs decline, these approaches are increasingly used in clinical, environmental, and evolutionary studies.Multilocus Sequence Typing (MLST) examines several housekeeping genes, essential chromosomal genes encoding cellular functions, to distinguish strains. Approximately...
Applications of Molecular Taxonomy
Molecular taxonomy has revolutionized the understanding and classification of bacteria, providing precise insights into their diversity, evolutionary relationships, and ecological roles. By utilizing molecular techniques such as DNA sequencing and fingerprinting, researchers have made significant strides in various fields related to bacterial studies.Resolving Taxonomic AmbiguitiesMolecular taxonomy has been instrumental in distinguishing closely related bacterial species initially thought to...
Methods to Assess Microbial Communities
Microbial communities, comprising bacteria, archaea, and eukaryotic microorganisms, inhabit diverse ecosystems and play crucial roles in environmental and biological processes. Their diversity is defined by three main parameters: species richness (the number of distinct species), species abundance (the relative quantity of each species), and species evenness (how uniformly individual species are distributed in various locations). These factors together shape the structure and ecological balance...
Introduction to the Human Microbiota
Microorganisms colonize various regions of the human body, including the mouth, nasal passages, throat, stomach, intestines, urogenital tract, and skin. The total number of microbial cells is estimated to range from 10¹³ to 10¹⁴—comparable to, or exceeding, the number of human somatic cells. This host–microbiome relationship has led to the conceptualization of humans as supraorganisms, wherein microbial communities perform vital roles in development, immunity, and disease...
Microbiota of the Large Intestine
The large intestine hosts the most densely populated microbial ecosystem in the human body. This complex community primarily consists of anaerobic bacteria, with Bacillota (formerly Firmicutes) and Bacteroidota (formerly Bacteroidetes) as the predominant groups. The distribution of these microbes varies along different sections of the large intestine, influenced by local environmental factors such as oxygen availability and nutrient composition.The cecum, located at the beginning of the large...
