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Simultaneous isolation of high-quality DNA, RNA, miRNA and proteins from tissues for genomic applications

机译:从组织中同时分离出高质量的DNA,RNA,miRNA和蛋白质,用于基因组应用

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Genomic technologies have revolutionized our understanding of complex Mendelian diseases and cancer. Solid tumors present several challenges for genomic analyses, such as tumor heterogeneity and tumor contamination with surrounding stroma and infiltrating lymphocytes. We developed a protocol to (i) select tissues of high cellular purity on the basis of histological analyses of immediately flanking sections and (ii) simultaneously extract genomic DNA (gDNA), mRNA, noncoding RNA (ncRNA; enriched in miRNA) and protein from the same tissues. After tissue selection, about 12-16 extractions of DNA, RNA or protein can be obtained per day. Compared with other similar approaches, this fast and reliable methodology allowed us to identify mutations in tumors with remarkable sensitivity and to perform integrative analyses of whole-genome and exome data sets, DNA copy numbers (by single-nucleotide polymorphism (SNP) arrays), gene expression data (by transcriptome profiling and quantitative PCR (qPCR)) and protein levels (by western blotting and immunohistochemical analysis) from the same samples. Although we focused on renal cell carcinoma, this protocol may be adapted with minor changes to any human or animal tissue to obtain high-quality and high-yield nucleic acids and proteins.
机译:基因组技术彻底改变了我们对复杂孟德尔疾病和癌症的理解。实体瘤对基因组分析提出了一些挑战,例如肿瘤异质性和周围基质和浸润淋巴细胞对肿瘤的污染。我们开发了一种协议(i)在对侧翼切片进行组织学分析的基础上选择高细胞纯度的组织,以及(ii)同时从中提取基因组DNA(gDNA),mRNA,非编码RNA(ncRNA;富含miRNA)和蛋白质相同的组织。选择组织后,每天可获得约​​12-16次DNA,RNA或蛋白质的提取。与其他类似方法相比,这种快速而可靠的方法使我们能够以极高的灵敏度识别肿瘤中的突变,并对全基因组和外显子组数据集,DNA拷贝数(通过单核​​苷酸多态性(SNP)阵列)进行整合分析,同一样本的基因表达数据(通过转录组分析和定量PCR(qPCR))和蛋白质水平(通过蛋白质印迹和免疫组化分析)。尽管我们专注于肾细胞癌,但该协议可能需要对任何人或动物组织进行细微改动,才能获得高质量,高产量的核酸和蛋白质。

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