MicroRNA (miRNA)的差异表达和暴露于原油相关化合物。

Gabriela Coronel Vargas
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引用次数: 0

摘要

本文综述了与原油和20种不同原油化学物质(如碳氢化合物、硫、氮和含金属化合物)暴露相关的miRNA差异调节的研究。探索使用早期转录后调节因子作为潜在的新型暴露生物标志物的可能性可能是有趣的。原油被定义为固体、液体和气体的高度复杂的混合物。鉴于石油成分的毒理学特性,其提取和加工过程对环境和人类健康构成高风险活动,特别是在发生意外泄漏时。短期接触石油对人体健康的影响是众所周知的,但长期接触的影响可能因接触类型(即工作、清理活动或附近居住)而异。由于只有两项研究关注原油暴露后miRNA的差异表达,本文还将分析有关动物界不同原油或石油相关化合物(PRC)暴露的文献,以及它与差异miRNA转录水平的关系。论文包括世界各地的体外、动物和人类研究。基于文献分析,创建了10个mirna列表(miR-142-5p、miR-126-3p、miR-24-3p、miR-451a、miR-16-5p、miR-28-5p、let-7b-5p、miR-320b、miR-27a-3p和miR-346),并假设它们可能是原油暴露的“足迹”。miRNA差异调控可以被认为是与大数据相关的挑战,因此使用不同的统计程序和生物信息学工具来更好地理解最有趣数据的生物学意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

MicroRNA (miRNA) Differential Expression and Exposure to Crude-Oil- Related Compounds.

MicroRNA (miRNA) Differential Expression and Exposure to Crude-Oil- Related Compounds.

MicroRNA (miRNA) Differential Expression and Exposure to Crude-Oil- Related Compounds.

MicroRNA (miRNA) Differential Expression and Exposure to Crude-Oil- Related Compounds.

This review summarizes studies on miRNA differential regulation related to exposure to crude oil and 20 different crude oil chemicals, such as hydrocarbons, sulphur, nitrogen, and metalcontaining compounds. It may be interesting to explore the possibility of using early post-transcriptional regulators as a potential novel exposure biomarker. Crude oil has been defined as a highly complex mixture of solids, liquids, and gases. Given the toxicological properties of the petroleum components, its extraction and elaboration processes represent high-risk activities for the environment and human health, especially when accidental spills occur. The effects on human health of short-term exposure to petroleum are well known, but chronic exposure effects may variate depending on the exposure type (i.e., work, clean-up activities, or nearby residence). As only two studies are focused on miRNA differential expression after crude-oil exposure, this review will also analyse the bibliography concerning different crude-oil or Petroleum-Related Compounds (PRC) exposure in Animalia L. kingdom and how it is related to differential miRNA transcript levels. Papers include in vitro, animal, and human studies across the world. A list of 10 miRNAs (miR-142-5p, miR-126-3p, miR-24-3p, miR-451a, miR-16-5p, miR-28-5p, let-7b-5p, miR-320b, miR-27a-3p and miR-346) was created based on bibliography analysis and hypothesised as a possible "footprint" for crude-oil exposure. miRNA differential regulation can be considered a Big-Data related challenge, so different statistical programs and bioinformatics tools were used to have a better understanding of the biological significate of the most interesting data.

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