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首页> 外文期刊>Nucleic acids research >Identification of genes regulated by muscarinic acetylcholine receptors: application of an improved and statistically comprehensive mRNA differential display technique
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Identification of genes regulated by muscarinic acetylcholine receptors: application of an improved and statistically comprehensive mRNA differential display technique

机译:鉴定毒蕈碱型乙酰胆碱受体调节的基因:改进的和统计综合的mRNA差异显示技术的应用

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In order to identify genes that are regulated by muscarinic acetylcholine receptors, we developed an mRNA differential display technique (DD) approach. By increasing redundancy and by evaluating optimised reagents and conditions for reverse transcription of total RNA, PCR and separation of PCR products, we generated a DD protocol that yields highly consistent results. A set of 64 distinct random primers was specifically designed in order to approach a statistically comprehensive analysis of all mRNA species in a defined cell population. This modified DD protocol was applied to total RNA of HEK293 cells stably expressing muscarinic m1 acetylcholine receptors and cells stimulated with the receptor agonist carbachol were compared to identical but non-stimulated cells. In 81 of 192 possible PCR experiments, 38 differential bands were identified. Sequence analysis followed by northern blot analyses confirmed differentially expressed genes in 19 of 23 bands analysed. These represented 10 distinct immediate-early genes that were up-regulated by m1AChR activation: Egr-1, Egr-2, Egr-3, NGFi-B, ETR101, c-jun, jun-D, Gos-3 and hcyr61, as well as the unknown gene Gig-2. These data show that this improved DD protocol can be readily applied to reliably identify differentially expressed genes.
机译:为了鉴定受毒蕈碱乙酰胆碱受体调节的基因,我们开发了一种mRNA差异显示技术(DD)方法。通过增加冗余度并评估用于优化总RNA逆转录,PCR和PCR产物分离的试剂和条件,我们生成了可产生高度一致结果的DD方案。专门设计了一组64种不同的随机引物,以对定义的细胞群中的所有mRNA种类进行统计学上的全面分析。将此修改后的DD协议应用于稳定表达毒蕈碱型m1乙酰胆碱受体的HEK293细胞的总RNA,并将受受体激动剂卡巴胆碱刺激的细胞与相同但未经刺激的细胞进行了比较。在192个可能的PCR实验中的81个中,鉴定出38个差异带。序列分析和随后的RNA印迹分析证实了在分析的23个条带中的19个中差异表达的基因。这些代表了通过m1AChR激活上调的10个不同的立即早期基因:Egr-1,Egr-2,Egr-3,NGFi-B,ETR101,c-jun,jun-D,Gos-3和hcyr61,以及未知基因Gig-2。这些数据表明,这种改进的DD协议可轻松应用于可靠地鉴定差异表达的基因。

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