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首页> 外文期刊>Neurogastroenterology and motility >Site‐specific gene expression analysis from archived human intestine samples combining laser‐capture microdissection and multiplexed color‐coded probes
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Site‐specific gene expression analysis from archived human intestine samples combining laser‐capture microdissection and multiplexed color‐coded probes

机译:基本特异性基因表达分析来自激光捕获微散射和多路复用颜色编码探针的归档人肠样品中的存档人肠样品

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Abstract Background Alterations of site‐specific gene expression profiles in disease‐relevant networks within the different layers of the intestinal wall may contribute to the onset and clinical course of gastrointestinal disorders. To date, no systematic analysis has assessed and compared sub‐regional gene expression patterns in all distinct layers of the gut using fresh frozen human samples. Our aim was to establish an optimized protocol for site‐specific RNA isolation in order to achieve maximum RNA quality and amount for subsequent gene expression analysis combining laser‐capture microdissection ( LCM ) with a probe‐based technology, the NanoString nC ounter Analysis system. Methods Four full‐thickness colon samples from patients who underwent surgery due to pathological conditions were processed and separated into epithelium, lamina propria, myenteric plexus, submucosa, and tunica muscularis by LCM . Site‐specific marker expression by nC ounter technology was performed on total RNA from each sub‐region, respectively. Key Results Collecting ~10?mm2 (~100?000‐250?000 cells) of tissue from the epithelial layer, lamina propria, and myenteric plexus provided sufficient amounts of RNA of appropriate quality for subsequent analyses. In contrast, ~40?mm2 (~250?000‐650?000 cells) of tissue were dissected from the less cell‐rich submucosal and tunica muscularis layer. nC ounter analysis revealed a site‐specific expression pattern of marker genes in the different layers of the colonic wall which were highly correlating ( r ??.9). Conclusions and Inferences LCM in combination with nC ounter expression analysis enables site‐specific, sensitive, reliable detection, and quantification of mRNA from histologically heterogeneous tissues.
机译:摘要肠壁不同层内疾病相关网络中特异性基因表达谱的背景改变可能有助于胃肠道疾病的发作和临床过程。迄今为止,没有使用新鲜冷冻的人样品评估和比较肠道的所有明显层中的次区域基因表达模式。我们的目的是为特定于特别特异性RNA分离建立优化的方案,以实现随后的基因表达分析的最大RNA质量和随后的基因表达分析与基于探针的技术,纳米型NC振荡分析系统。方法通过LCM加工和分离接受病理病症引起的患者的四种全厚的结肠样本,接受病理病症引起的手术患者,并通过LCM分离成上皮,椎板,骨髓丛,粘膜和丘脑肌肉。 NC载体技术的特异性标记表达分别对来自每个亚区域的总RNA进行。关键结果从上皮层,椎板丙瘟和神经聚集体采集〜10?mm2(〜100 00?000-250?000个细胞),提供足够量的适当质量的RNA供随后分析。相比之下,从富含细胞的粘膜和苔藓瘤肌肉层中解除〜40μm2(〜250〜000-650?000个细胞)。 NC函数分析显示出高度相关的结肠壁的不同层中标记基因的位点特异性表达模式,其高度相关(R→&。9)。结论和推迟LCM与NC振荡表达分析组合使能源特异性,敏感,可靠的检测和定量来自组织学情况上的非均相组织的mRNA。

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