Heck D E, Roy A, Laskin J D
Department of Pharmacology, Rutgers University, Piscataway, NJ 08854, USA.
Adv Exp Med Biol. 2001;500:709-14. doi: 10.1007/978-1-4615-0667-6_103.
Much ongoing research in toxicology focuses on a hypothesis-driven mechanism of action approach aimed at understanding the molecular events mediating the actions of the chemicals of interest. Using this approach, investigators develop hypotheses based on observations, which may be derived from a host of resources but most frequently have been made within their own laboratories, or uncovered by others and reported in the scientific literature. Although the bulk of current understanding ofbiochemical toxicology emerged using studies based on observations derived in this way, this process, which is essentially based on existing information, may often limit the expansion knowledge. More simply expressed, one only finds that which one seeks. Without a clear understanding of the processes targeted by a specific toxin the problem of making observations that globally and accurately reflect the events mediating pathology which have been induced by the toxic agent is challenging. Recently, the development of high-throughput technologies for biochemical analysis of gene expression has led to innovative approaches in addressing the problem of making broad-based observations that more accurately reflect the entire spectrum of molecular lesions induced by specific toxins. These strategies include the use of new techniques in analysis of gene expression to convey information on alterations in mRNA levels, one of the earliest cellular signs initiated in response to a potential toxin. Prior to this time studies on toxicant-induced altered gene expression were limited to single, or small numbers of identified genes chosen by an investigator who reasoned, based on an existing observations, that levels of the proteins encoded by these genes were likely to be altered during toxic injury. Now, using cDNA or oligonucleotide genome-wide arrays, toxin-induced alterations in gene expression of thousands of genes can be examined simultaneously. Using these tools, molecular toxicologists can for the first time employ reasoned strategies to make observations, and then formulate hypotheses based on these observations.
毒理学领域目前正在进行的许多研究都聚焦于一种基于假设的作用机制研究方法,旨在了解介导相关化学物质作用的分子事件。运用这种方法,研究人员基于观察结果提出假设,这些观察结果可能源自大量资源,但最常见的是来自他们自己实验室的研究发现,或者是他人发现并发表在科学文献中的内容。尽管目前对生化毒理学的大部分理解是通过基于此类观察结果的研究得出的,但这个本质上基于现有信息的过程往往可能限制知识的扩展。更简单地说,人们往往只能发现自己所寻找的东西。如果对特定毒素所作用的过程没有清晰的了解,那么要做出能全面且准确反映由该毒性物质诱导的介导病理过程的观察结果是具有挑战性的。最近,用于基因表达生化分析的高通量技术的发展,为解决如何进行更广泛的观察以更准确反映特定毒素诱导的分子损伤全貌这一问题带来了创新方法。这些策略包括运用基因表达分析的新技术来传达有关mRNA水平变化的信息,mRNA水平变化是细胞对潜在毒素产生反应时最早出现的迹象之一。在此之前,关于毒物诱导基因表达变化的研究仅限于研究人员根据现有观察结果推断出的、认为在毒性损伤期间其编码蛋白质水平可能会发生变化的单个或少数几个已确定基因。现在,利用cDNA或寡核苷酸全基因组阵列,可以同时检测数千个基因的毒素诱导基因表达变化。借助这些工具,分子毒理学家首次能够采用合理的策略进行观察,然后基于这些观察结果提出假设。