Niehof Monika, Hildebrandt Tobias, Danov Olga, Arndt Kirsten, Koschmann Jeannette, Dahlmann Franziska, Hansen Tanja, Sewald Katherina
Division of Preclinical Pharmacology and In Vitro Toxicology, Fraunhofer Institute for Toxicology and Experimental Medicine ITEM, German Center for Lung Research (DZL), Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), Excellence Cluster REBIRTH, Nikolai-Fuchs-Str. 1, 30625, Hannover, Germany.
Immunology and Respiratory, Boehringer Ingelheim Pharma GmbH & Co. KG, Ingelheim am Rhein, Germany.
BMC Res Notes. 2017 Mar 9;10(1):121. doi: 10.1186/s13104-017-2447-6.
Functional 3D organ models such as precision-cut lung slices (PCLS) have recently captured the attention of biomedical research. To enable wider implementation in research and development, these new biologically relevant organ models are being constantly refined. A very important issue is to improve the preparation of high-quality RNA (ribonucleic acid) from PCLS for drug discovery and development of new therapies. Gene expression analysis at different levels is used as an important experimental readout. Genome-wide analysis using microarrays is mostly applied for biomarker selection in disease models or in comprehensive toxicological studies. Specific biomarker testing by reverse transcriptase quantitative polymerase chain reaction (RTqPCR) is often used in efficacy studies. Both applications require high-quality RNA as starting material for the generation of reliable data. Additionally, a small number of slices should be sufficient for satisfactory RNA isolation to allow as many experimental conditions as possible to be covered with a given tissue sample. Unfortunately, the vast amount of agarose in PCLS impedes RNA extraction according to the standard procedures.
We established an optimized protocol for RNA isolation from PCLS from humans, rats, mice, marmosets, and rhesus macaques based on the separation of lysis and precipitation steps and a magnetic-bead cleanup procedure. The resulting RNA is of high purity and possesses a high degree of integrity. There are no contaminations affecting RTqPCR efficiency or any enzymatic step in sample preparation for microarray analysis.
In summary, we isolated RNA from PCLS from different species that is well suited for RTqPCR and for microarray analysis as downstream applications.
诸如精密切割肺片(PCLS)之类的功能性3D器官模型最近引起了生物医学研究的关注。为了在研发中更广泛地应用,这些新的具有生物学相关性的器官模型正在不断完善。一个非常重要的问题是改进从PCLS中制备用于药物发现和新疗法开发的高质量RNA(核糖核酸)。不同水平的基因表达分析被用作重要的实验读数。使用微阵列的全基因组分析主要用于疾病模型中的生物标志物选择或综合毒理学研究。通过逆转录酶定量聚合酶链反应(RTqPCR)进行的特定生物标志物检测常用于疗效研究。这两种应用都需要高质量的RNA作为生成可靠数据的起始材料。此外,少量切片应足以进行令人满意的RNA分离,以便在给定的组织样本中涵盖尽可能多的实验条件。不幸的是,PCLS中大量的琼脂糖阻碍了按照标准程序提取RNA。
我们基于裂解和沉淀步骤的分离以及磁珠净化程序,建立了一种从人、大鼠、小鼠、狨猴和恒河猴的PCLS中分离RNA的优化方案。所得RNA纯度高且完整性好。不存在影响RTqPCR效率或微阵列分析样品制备中任何酶促步骤的污染。
总之,我们从不同物种的PCLS中分离出了非常适合作为下游应用的RTqPCR和微阵列分析的RNA。