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MicroRNA Detection in Prostate Tumors by Quantitative Real-time PCR (qPCR)

机译:定量实时PCR(qPCR)在前列腺肿瘤中的MicroRNA检测

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摘要

MicroRNAs (miRNAs) are single-stranded, 18–24 nucleotide long, non-coding RNA molecules. They are involved in virtually every cellular process including development1, apoptosis2, and cell cycle regulation3. MiRNAs are estimated to regulate the expression of 30% to 90% of human genes4 by binding to their target messenger RNAs (mRNAs)5. Widespread dysregulation of miRNAs has been reported in various diseases and cancer subtypes6. Due to their prevalence and unique structure, these small molecules are likely to be the next generation of biomarkers, therapeutic agents and/or targets.Methods used to investigate miRNA expression include SYBR green I dye- based as well as Taqman-probe based qPCR. If miRNAs are to be effectively used in the clinical setting, it is imperative that their detection in fresh and/or archived clinical samples be accurate, reproducible, and specific. qPCR has been widely used for validating expression of miRNAs in whole genome analyses such as microarray studies7. The samples used in this protocol were from patients who underwent radical prostatectomy for clinically localized prostate cancer; however other tissues and cell lines can be substituted in. Prostate specimens were snap-frozen in liquid nitrogen after resection. Clinical variables and follow-up information for each patient were collected for subsequent analysis8. >Quantification of miRNA levels in prostate tumor samples. The main steps in qPCR analysis of tumors are: Total RNA extraction, cDNA synthesis, and detection of qPCR products using miRNA-specific primers. Total RNA, which includes mRNA, miRNA, and other small RNAs were extracted from specimens using TRIzol reagent. Qiagen's miScript System was used to synthesize cDNA and perform qPCR (>Figure 1). Endogenous miRNAs are not polyadenylated, therefore during the reverse transcription process, a poly(A) polymerase polyadenylates the miRNA. The miRNA is used as a template to synthesize cDNA using oligo-dT and Reverse Transcriptase. A universal tag sequence on the 5' end of oligo-dT primers facilitates the amplification of cDNA in the PCR step. PCR product amplification is detected by the level of fluorescence emitted by SYBR Green, a dye which intercalates into double stranded DNA. Specific miRNA primers, along with a Universal Primer that binds to the universal tag sequence will amplify specific miRNA sequences. The miScript Primer Assays are available for over a thousand human-specific miRNAs, and hundreds of murine-specific miRNAs. Relative quantification method was used here to quantify the expression of miRNAs. To correct for variability amongst different samples, expression levels of a target miRNA is normalized to the expression levels of a reference gene. The choice of a gene on which to normalize the expression of targets is critical in relative quantification method of analysis. Examples of reference genes typically used in this capacity are the small RNAs RNU6B, RNU44, and RNU48 as they are considered to be stably expressed across most samples. In this protocol, RNU6B is used as the reference gene.
机译:MicroRNA(miRNA)是单链,18–24个核苷酸长的非编码RNA分子。它们实际上参与了每个细胞过程,包括发育 1 ,凋亡 2 和细胞周期调节 3 。据估计,miRNA通过与目标信使RNA(mRNA) 5 结合来调节30%至90%的人类基因 4 的表达。已经报道了多种疾病和癌症亚型 6 中miRNA的广泛失调。由于它们的普遍性和独特的结构,这些小分子可能是下一代生物标志物,治疗剂和/或靶标。用于研究miRNA表达的方法包括基于SYBR green I染料和基于Taqman-probe的qPCR。如果要在临床环境中有效使用miRNA,则必须在新鲜和/或存档的临床样品中对它们进行检测是准确,可重复和特异的。 qPCR已被广泛用于验证全基因组分析中的miRNA表达,例如微阵列研究 7 。该方案中使用的样品来自因临床局限性前列腺癌而接受根治性前列腺切除术的患者;前列腺标本在切除后在液氮中速冻。 8 收集每位患者的临床变量和随访信息。 >定量前列腺肿瘤样品中的miRNA水平。肿瘤qPCR分析的主要步骤包括:总RNA提取,cDNA合成和使用miRNA特异性引物检测qPCR产物。使用TRIzol试剂从标本中提取总RNA,包括mRNA,miRNA和其他小RNA。 Qiagen的miScript系统用于合成cDNA并进行qPCR(>图1 )。内源性miRNA没有被聚腺苷酸化,因此在逆转录过程中,poly(A)聚合酶使聚腺苷酸化了miRNA。将miRNA用作模板,使用oligo-dT和逆转录酶合成cDNA。 oligo-dT引物5'端的通用标签序列有助于在PCR步骤中扩增cDNA。通过插入到双链DNA中的染料SYBR Green发出的荧光水平检测PCR产物的扩增。特定的miRNA引物,以及与通用标签序列结合的通用引物,将扩增特定的miRNA序列。 miScript引物分析可用于一千多种人类特异性miRNA和数百种鼠特异性miRNA。在此使用相对定量方法来定量miRNA的表达。为了校正不同样品之间的变异性,将靶标miRNA的表达水平标准化为参考基因的表达水平。标准化靶标表达的基因的选择在相对定量分析方法中至关重要。通常以这种能力使用的参考基因的例子是小RNA RNU6B,RNU44和RNU48,因为它们被认为可以在大多数样品中稳定表达。在该协议中,RNU6B被用作参考基因。

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