Suppr超能文献

同时从组织中分离高质量的 DNA、RNA、miRNA 和蛋白质,用于基因组应用。

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

机构信息

1] Department of Internal Medicine, University of Texas (UT) Southwestern Medical Center, Dallas, Texas, USA. [2] Department of Developmental Biology, UT Southwestern Medical Center, Dallas, Texas, USA. [3] Simmons Comprehensive Cancer Center, UT Southwestern Medical Center, Dallas, Texas, USA.

出版信息

Nat Protoc. 2013 Nov;8(11):2240-55. doi: 10.1038/nprot.2013.141. Epub 2013 Oct 17.

Abstract

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.

摘要

基因组技术极大地改变了我们对复杂孟德尔疾病和癌症的认识。实体瘤的基因组分析存在几个挑战,例如肿瘤异质性和肿瘤与周围基质和浸润淋巴细胞的污染。我们开发了一种方案,(i)根据紧邻部分的组织学分析选择高细胞纯度的组织,(ii)同时从相同的组织中提取基因组 DNA(gDNA)、mRNA、非编码 RNA(富含 miRNA)和蛋白质。组织选择后,每天可从每个样本中获得约 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数据集、DNA 拷贝数(通过单核苷酸多态性 (SNP) 芯片)、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 Western 印迹和免疫组织化学分析)进行综合分析。尽管我们专注于肾细胞癌,但只需稍作修改,该方案即可适用于任何人类或动物组织,以获得高质量和高产量的核酸和蛋白质。

相似文献

引用本文的文献

9
Preparation of Joint Extracts.关节提取物的制备。
Methods Mol Biol. 2024;2766:55-60. doi: 10.1007/978-1-0716-3682-4_8.

本文引用的文献

1
Cooperation and antagonism among cancer genes: the renal cancer paradigm.癌症基因之间的合作与拮抗:肾癌范例。
Cancer Res. 2013 Jul 15;73(14):4173-9. doi: 10.1158/0008-5472.CAN-13-0360. Epub 2013 Jul 5.
6
Cancer genome-sequencing study design.癌症基因组测序研究设计。
Nat Rev Genet. 2013 May;14(5):321-32. doi: 10.1038/nrg3445.
10
Genome-wide copy number analysis of single cells.单细胞全基因组拷贝数分析。
Nat Protoc. 2012 May 3;7(6):1024-41. doi: 10.1038/nprot.2012.039.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验