Department of Neuroimmunology, Center for Brain Research, Medical University of Vienna, Vienna, Austria.
Ann Romney Center for Neurological Diseases, Brigham and Women's Hospital, Harvard Medical School, Boston, USA.
Sci Rep. 2018 Apr 20;8(1):6351. doi: 10.1038/s41598-018-24781-6.
Formalin-fixed paraffin-embedded (FFPE) tissues are valuable resources commonly used in pathology. However, formalin fixation modifies nucleic acids challenging the isolation of high-quality RNA for genetic profiling. Here, we assessed feasibility and reliability of microarray studies analysing transcriptome data from fresh, fresh-frozen (FF) and FFPE tissues. We show that reproducible microarray data can be generated from only 2 ng FFPE-derived RNA. For RNA quality assessment, fragment size distribution (DV200) and qPCR proved most suitable. During RNA isolation, extending tissue lysis time to 10 hours reduced high-molecular-weight species, while additional incubation at 70 °C markedly increased RNA yields. Since FF- and FFPE-derived microarrays constitute different data entities, we used indirect measures to investigate gene signal variation and relative gene expression. Whole-genome analyses revealed high concordance rates, while reviewing on single-genes basis showed higher data variation in FFPE than FF arrays. Using an experimental model, gene set enrichment analysis (GSEA) of FFPE-derived microarrays and fresh tissue-derived RNA-Seq datasets yielded similarly affected pathways confirming the applicability of FFPE tissue in global gene expression analysis. Our study provides a workflow comprising RNA isolation, quality assessment and microarray profiling using minimal RNA input, thus enabling hypothesis-generating pathway analyses from limited amounts of precious, pathologically significant FFPE tissues.
福尔马林固定石蜡包埋(FFPE)组织是病理学中常用的有价值的资源。然而,福尔马林固定会修饰核酸,从而难以分离用于遗传分析的高质量 RNA。在这里,我们评估了从新鲜、新鲜冷冻(FF)和 FFPE 组织中分析转录组数据的微阵列研究的可行性和可靠性。我们表明,仅从 2ng FFPE 衍生的 RNA 即可生成可重复的微阵列数据。对于 RNA 质量评估,片段大小分布(DV200)和 qPCR 被证明是最适合的。在 RNA 分离过程中,将组织裂解时间延长至 10 小时可以减少高分子量物质,而在 70°C 下进一步孵育则显著增加 RNA 产量。由于 FF 和 FFPE 衍生的微阵列构成不同的数据实体,我们使用间接措施来研究基因信号变化和相对基因表达。全基因组分析显示出高度的一致性,而基于单基因的审查显示 FFPE 微阵列比 FF 微阵列的数据变化更大。使用实验模型,对 FFPE 衍生的微阵列和新鲜组织衍生的 RNA-Seq 数据集进行基因集富集分析(GSEA),得到了相似的受影响途径,证实了 FFPE 组织在全局基因表达分析中的适用性。我们的研究提供了一个工作流程,包括使用最小 RNA 输入进行 RNA 分离、质量评估和微阵列分析,从而能够从有限数量的珍贵、具有病理意义的 FFPE 组织中生成假设生成的途径分析。