生物信息工作流程用于导出转录基因的起点:当前状态,数据缺口和研究重点
Jason O'Brien1, Constance Mitchell2, Scott Auerbach3
1Ecotoxicology and Wildlife Health Division, Environment and Climate Change Canada, Ottawa, ON J8X 4C6, Canada.
概括
转录组起点 (tPOD) 为毒理安全评估提供了一种健康保护和有效的方法. 与传统方法相比,这种方法使用基因表达数据进行更快,更可靠的化学安全评估.
科学领域:
- 毒理学和分子生物学
- 计算生物学和生物信息学
背景情况:
- 传统的毒理学依赖于动物试验,这是耗时和昂贵的.
- 在毒理安全评估中,越来越需要有效和可靠的方法.
- 分子数据,特别是转录组学,为评估化学安全提供了一个有希望的替代方案.
研究的目的:
- 审查当前的科学状态,以获得转录基因起点 (tPODs).
- 为了确定最佳实践,变化,数据缺口和tPOD生成中的不确定性.
- 为在监管毒理学中采用tPODs提供建议.
主要方法:
- 审查研究设计和生物信息学工作流程,用于tPOD导出.
- 对个别基因的剂量反应建模的分析和基因级数据的聚合.
- 从转录基因数据生成tPOD的方法的评估.
主要成果:
- 转录组分析提供了全球分子变化的快照,反映了细胞对压力因素的反应.
- tPODs识别了低于预期不会发生基因表达变化的剂量水平.
- 使用tPODs获得的参考剂量得到了研究的支持,因为它们具有健康保护作用.
结论:
- tPODs提供了一种比传统方法更快,更可靠的安全评估方法.
- 严格和可重复的方法对于tPODs的监管应用至关重要.
- 建议进行进一步的研究,以解决障碍,并促进在监管决策中采用tPOD.
相关概念视频
Ribosome Profiling
3.5K
Ribosome profiling or ribo-sequencing is a deep sequencing technique that produces a snapshot of active translation in a cell. It selectively sequences the mRNAs protected by ribosomes to get an insight into a cell’s translation landscape at any given point in time.
Applications of ribosome profiling
Ribosome profiling has many applications, including in vivo monitoring of translation inside a particular organ or tissue type and quantifying new protein synthesis levels.
The technique...
Applications of ribosome profiling
Ribosome profiling has many applications, including in vivo monitoring of translation inside a particular organ or tissue type and quantifying new protein synthesis levels.
The technique...
3.5K
RNA-seq
9.8K
RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases.
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
9.8K


