在斑马鱼胚胎中使用高通量转录组学对环境神经毒素的基于网络的评估
Pu Xia1, Pingping Wang2, Shengnan Liu3
1Centre for Environmental Research and Justice, and School of Biosciences, University of Birmingham, Edgbaston, Birmingham B15 2TT, U.K.
Environmental science & technology
|January 30, 2026
概括
这项研究引入了一个不良结果途径 (AOP) 网络框架,将斑马鱼转录学中的分子数据与神经行为结果联系起来. 这种方法成功地预测了神经毒性作用,推进了在新方法方法 (NAMs) 中使用omics的使用.
科学领域:
- 环境毒理学环境毒理学
- 计算生物学 计算生物学
- 神经科学是一个神经科学.
背景情况:
- 使用奥米克数据评估神经毒素是困难的,因为将分子信号转化为可观测的表型效应存在挑战.
- 现有的方法很难弥合分子反应和生物体水平毒性之间的差距.
- 需要强大的框架来解释神经毒性评估的复杂omics数据.
研究的目的:
- 开发和验证基于网络的不良结果途径 (AOP) 框架,用于解释斑马鱼胚胎中的度依赖转录学.
- 为定量神经毒性评估,将分子信号与行为结果相关联.
- 在化学安全评估的新方法方法 (NAMs) 中推进omics数据的应用.
主要方法:
- 策划了对斑马鱼分子路径的关键事件 (KE) 的注释,以映射转录组学到AOP网络.
- 分析了24种环境化学品的度依赖转录组学,以确定度响应的KEEs (CRKEs).
- 利用集成CRKE和时间响应KE (TRKE) 的部分最小平方回归来估计顶点POD (aPOD),并进行外部验证.
主要成果:
- 确定了有效区分神经毒性与非神经毒性化合物的CRKE.
- 证明了转录基因起点 (tPOD) 和行为性aPOD (R2 = 0.539,P < 0.01) 之间存在显著的相关性.
- 在使用集成的奥米克数据 (斜率 = 0.70,R2 = 0.64,P = 1.30 × 10−5) 估计aPOD时实现了高性能,并与外部数据验证了结果.
结论:
- AOP网络导向的奥米克分析框架是定量神经毒性评估的一个有希望的方法.
- 这种方法通过将分子反应与行为结果联系起来,便于预测化学诱导的神经毒性.
- 该研究支持将omics数据集成到NAM中,以实现更高效,更准确的化学风险评估.
相关概念视频
Protein Networks
4.5K
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,...
4.5K
Protein Networks
2.8K
2.8K
Network Covalent Solids
16.2K
Network covalent solids contain a three-dimensional network of covalently bonded atoms as found in the crystal structures of nonmetals like diamond, graphite, silicon, and some covalent compounds, such as silicon dioxide (sand) and silicon carbide (carborundum, the abrasive on sandpaper). Many minerals have networks of covalent bonds.
To break or to melt a covalent network solid, covalent bonds must be broken. Because covalent bonds are relatively strong, covalent network solids are typically...
To break or to melt a covalent network solid, covalent bonds must be broken. Because covalent bonds are relatively strong, covalent network solids are typically...
16.2K
Environmental Influences on Intelligence
916
Despite the strong genetic influence on traits like intelligence, environmental factors significantly shape outcomes. For example, while over 90% of height variation is due to genetic differences, environmental factors such as nutrition also have a notable impact. Similarly, for intelligence, changes in a child's surroundings can significantly alter their IQ. Research shows that enriched environments boost children's academic success and help them develop key cognitive skills. Children...
916
Environmental Applications of Microorganisms
1.1K
Microorganisms play a pivotal role in maintaining ecosystem balance by recycling essential elements such as carbon, nitrogen, and phosphorus, as well as supporting processes like bioremediation, wastewater treatment, and biofuel production.Microbes in Elemental CyclesIn the carbon cycle, microorganisms decompose organic matter, releasing carbon dioxide via aerobic respiration. This carbon dioxide is subsequently used by photosynthetic organisms to synthesize organic compounds, closing the...
1.1K
Network Function of a Circuit
698
Frequency response analysis in electrical circuits provides vital insights into a circuit's behavior as the frequency of the input signal changes. The transfer function, a mathematical tool, is instrumental in understanding this behavior. It defines the relationship between phasor output and input and comes in four types: voltage gain, current gain, transfer impedance, and transfer admittance. The critical components of the transfer function are the poles and zeros.
698


