Dreser Nadine, Zimmer Bastian, Dietz Christian, Sügis Elena, Pallocca Giorgia, Nyffeler Johanna, Meisig Johannes, Blüthgen Nils, Berthold Michael R, Waldmann Tanja, Leist Marcel
Doerenkamp-Zbinden Chair of In Vitro Toxicology and Biomedicine, University of Konstanz, Konstanz, Germany.
Center for Stem Cell Biology, Sloan-Kettering Institute, New York City, NY, USA; Developmental Biology Program, Sloan-Kettering Institute, New York City, NY, USA.
Neurotoxicology. 2015 Sep;50:56-70. doi: 10.1016/j.neuro.2015.07.008. Epub 2015 Jul 31.
Functional assays, such as the "migration inhibition of neural crest cells" (MINC) developmental toxicity test, can identify toxicants without requiring knowledge on their mode of action (MoA). Here, we were interested, whether (i) inhibition of migration by structurally diverse toxicants resulted in a unified signature of transcriptional changes; (ii) whether statistically-identified transcript patterns would inform on compound grouping even though individual genes were little regulated, and (iii) whether analysis of a small group of biologically-relevant transcripts would allow the grouping of compounds according to their MoA. We analyzed transcripts of 35 'migration genes' after treatment with 16 migration-inhibiting toxicants. Clustering, principal component analysis and correlation analyses of the data showed that mechanistically related compounds (e.g. histone deacetylase inhibitors (HDACi), PCBs) triggered similar transcriptional changes, but groups of structurally diverse toxicants largely differed in their transcriptional effects. Linear discriminant analysis (LDA) confirmed the specific clustering of HDACi across multiple separate experiments. Similarity of the signatures of the HDACi trichostatin A and suberoylanilide hydroxamic acid to the one of valproic acid (VPA), suggested that the latter compound acts as HDACi when impairing neural crest migration. In conclusion, the data suggest that (i) a given functional effect (e.g. inhibition of migration) can be associated with highly diverse signatures of transcript changes; (ii) statistically significant grouping of mechanistically-related compounds can be achieved on the basis of few genes with small regulations. Thus, incorporation of mechanistic markers in functional in vitro tests may support read-across procedures, also for structurally un-related compounds.
功能测定,如“神经嵴细胞迁移抑制”(MINC)发育毒性试验,无需了解其作用模式(MoA)就能识别有毒物质。在此,我们感兴趣的是:(i)结构多样的有毒物质对迁移的抑制是否会导致转录变化的统一特征;(ii)即使单个基因调控程度很小,通过统计确定的转录模式是否能为化合物分组提供信息;以及(iii)对一小部分具有生物学相关性的转录本进行分析是否能根据其作用模式对化合物进行分组。我们在用16种抑制迁移的有毒物质处理后,分析了35个“迁移基因”的转录本。数据的聚类、主成分分析和相关性分析表明,机制相关的化合物(如组蛋白去乙酰化酶抑制剂(HDACi)、多氯联苯)引发了相似的转录变化,但结构多样的有毒物质组在转录效应上有很大差异。线性判别分析(LDA)证实了HDACi在多个独立实验中的特定聚类。HDACi曲古抑菌素A和辛二酰苯胺异羟肟酸的特征与丙戊酸(VPA)的特征相似,这表明后者在损害神经嵴迁移时作为HDACi起作用。总之,数据表明:(i)给定的功能效应(如迁移抑制)可能与高度多样的转录变化特征相关;(ii)基于少量调控程度小的基因,可以实现机制相关化合物的统计学显著分组。因此,在功能性体外试验中纳入机制标记物可能有助于类推程序,也适用于结构不相关的化合物。