{"title":"用于定量染色质相互作用的3c数字PCR","authors":"Meijun Du, Liang Wang","doi":"10.1186/s12867-016-0076-6","DOIUrl":null,"url":null,"abstract":"<p>Chromosome conformation capture (3C) is a powerful and widely used technique for detecting the physical interactions between chromatin regions in vivo. The principle of 3C is to convert physical chromatin interactions into specific DNA ligation products, which are then detected by quantitative polymerase chain reaction (qPCR). However, 3C-qPCR assays are often complicated by the necessity of normalization controls to correct for amplification biases. In addition, qPCR is often limited to a certain cycle number, making it difficult to detect fragment ligations with low frequency. Recently, digital PCR (dPCR) technology has become available, which allows for highly sensitive nucleic acid quantification. Main advantage of dPCR is its high precision of absolute nucleic acid quantification without requirement of normalization controls.</p><p>To demonstrate the utility of dPCR in quantifying chromatin interactions, we examined two prostate cancer risk loci at 8q24 and 2p11.2 for their interaction target genes <i>MYC</i> and <i>CAPG</i> in LNCaP cell line. We designed anchor and testing primers at known regulatory element fragments and target gene regions, respectively. dPCR results showed that interaction frequency between the regulatory element and <i>MYC</i> gene promoter was 0.7 (95% CI?0.40–1.10) copies per 1000 genome copies while other regions showed relatively low ligation frequencies. The dPCR results also showed that the ligation frequencies between the regulatory element and two <i>Eco</i>RI fragments containing <i>CAPG</i> gene promoter were 1.9 copies (95% CI?1.41–2.47) and 1.3 copies per 1000 genome copies (95% CI?0.76–1.92), respectively, while the interaction signals were reduced on either side of the promoter region of <i>CAPG</i> gene. Additionally, we observed comparable results from 3C-dPCR and 3C-qPCR at 2p11.2 in another cell line (DU145).</p><p>Compared to traditional 3C-qPCR, our results show that 3C-dPCR is much simpler and more sensitive to detect weak chromatin interactions. It may eliminate multiple and complex normalization controls and provide accurate calculation of proximity-based fragment ligation frequency. Therefore, we recommend 3C-dPCR as a preferred method for sensitive detection of low frequency chromatin interactions.</p>","PeriodicalId":497,"journal":{"name":"BMC Molecular Biology","volume":"17 1","pages":""},"PeriodicalIF":2.9460,"publicationDate":"2016-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/s12867-016-0076-6","citationCount":"5","resultStr":"{\"title\":\"3C-digital PCR for quantification of chromatin interactions\",\"authors\":\"Meijun Du, Liang Wang\",\"doi\":\"10.1186/s12867-016-0076-6\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Chromosome conformation capture (3C) is a powerful and widely used technique for detecting the physical interactions between chromatin regions in vivo. The principle of 3C is to convert physical chromatin interactions into specific DNA ligation products, which are then detected by quantitative polymerase chain reaction (qPCR). However, 3C-qPCR assays are often complicated by the necessity of normalization controls to correct for amplification biases. In addition, qPCR is often limited to a certain cycle number, making it difficult to detect fragment ligations with low frequency. Recently, digital PCR (dPCR) technology has become available, which allows for highly sensitive nucleic acid quantification. Main advantage of dPCR is its high precision of absolute nucleic acid quantification without requirement of normalization controls.</p><p>To demonstrate the utility of dPCR in quantifying chromatin interactions, we examined two prostate cancer risk loci at 8q24 and 2p11.2 for their interaction target genes <i>MYC</i> and <i>CAPG</i> in LNCaP cell line. We designed anchor and testing primers at known regulatory element fragments and target gene regions, respectively. dPCR results showed that interaction frequency between the regulatory element and <i>MYC</i> gene promoter was 0.7 (95% CI?0.40–1.10) copies per 1000 genome copies while other regions showed relatively low ligation frequencies. The dPCR results also showed that the ligation frequencies between the regulatory element and two <i>Eco</i>RI fragments containing <i>CAPG</i> gene promoter were 1.9 copies (95% CI?1.41–2.47) and 1.3 copies per 1000 genome copies (95% CI?0.76–1.92), respectively, while the interaction signals were reduced on either side of the promoter region of <i>CAPG</i> gene. Additionally, we observed comparable results from 3C-dPCR and 3C-qPCR at 2p11.2 in another cell line (DU145).</p><p>Compared to traditional 3C-qPCR, our results show that 3C-dPCR is much simpler and more sensitive to detect weak chromatin interactions. 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引用次数: 5
摘要
染色体构象捕获(3C)是一种强大而广泛应用的检测体内染色质区域之间物理相互作用的技术。3C的原理是将物理染色质相互作用转化为特定的DNA连接产物,然后通过定量聚合酶链反应(qPCR)检测。然而,3C-qPCR分析通常由于需要规范化控制来纠正扩增偏差而变得复杂。此外,qPCR往往局限于一定的周期数,难以检测到频率较低的片段结扎。最近,数字PCR (dPCR)技术已经成为可能,它允许高灵敏度的核酸定量。dPCR的主要优点是绝对核酸定量精度高,不需要归一化对照。为了证明dPCR在定量染色质相互作用中的作用,我们检测了LNCaP细胞系中位于8q24和2p11.2的两个前列腺癌风险位点的相互作用靶基因MYC和CAPG。我们分别在已知的调控元件片段和靶基因区域设计了锚定引物和测试引物。dPCR结果显示,调控元件与MYC基因启动子的相互作用频率为0.7 (95% CI 0.40-1.10) / 1000个基因组拷贝,而其他区域的连接频率相对较低。dPCR结果还显示,调控元件与含有CAPG基因启动子的两个EcoRI片段的连接频率分别为1.9拷贝(95% CI 1.41 ~ 2.47)和1.3拷贝/ 1000基因组拷贝(95% CI 0.76 ~ 1.92),而CAPG基因启动子区域两侧的相互作用信号减少。此外,我们在另一个细胞系(DU145)中观察到3C-dPCR和3C-qPCR在2p11.2位点的相似结果。与传统的3C-qPCR相比,我们的研究结果表明,3C-dPCR在检测弱染色质相互作用方面更简单、更敏感。它可以消除多个和复杂的归一化控制,并提供精确的计算基于邻近的碎片结扎频率。因此,我们推荐3C-dPCR作为敏感检测低频染色质相互作用的首选方法。
3C-digital PCR for quantification of chromatin interactions
Chromosome conformation capture (3C) is a powerful and widely used technique for detecting the physical interactions between chromatin regions in vivo. The principle of 3C is to convert physical chromatin interactions into specific DNA ligation products, which are then detected by quantitative polymerase chain reaction (qPCR). However, 3C-qPCR assays are often complicated by the necessity of normalization controls to correct for amplification biases. In addition, qPCR is often limited to a certain cycle number, making it difficult to detect fragment ligations with low frequency. Recently, digital PCR (dPCR) technology has become available, which allows for highly sensitive nucleic acid quantification. Main advantage of dPCR is its high precision of absolute nucleic acid quantification without requirement of normalization controls.
To demonstrate the utility of dPCR in quantifying chromatin interactions, we examined two prostate cancer risk loci at 8q24 and 2p11.2 for their interaction target genes MYC and CAPG in LNCaP cell line. We designed anchor and testing primers at known regulatory element fragments and target gene regions, respectively. dPCR results showed that interaction frequency between the regulatory element and MYC gene promoter was 0.7 (95% CI?0.40–1.10) copies per 1000 genome copies while other regions showed relatively low ligation frequencies. The dPCR results also showed that the ligation frequencies between the regulatory element and two EcoRI fragments containing CAPG gene promoter were 1.9 copies (95% CI?1.41–2.47) and 1.3 copies per 1000 genome copies (95% CI?0.76–1.92), respectively, while the interaction signals were reduced on either side of the promoter region of CAPG gene. Additionally, we observed comparable results from 3C-dPCR and 3C-qPCR at 2p11.2 in another cell line (DU145).
Compared to traditional 3C-qPCR, our results show that 3C-dPCR is much simpler and more sensitive to detect weak chromatin interactions. It may eliminate multiple and complex normalization controls and provide accurate calculation of proximity-based fragment ligation frequency. Therefore, we recommend 3C-dPCR as a preferred method for sensitive detection of low frequency chromatin interactions.
期刊介绍:
BMC Molecular Biology is an open access journal publishing original peer-reviewed research articles in all aspects of DNA and RNA in a cellular context, encompassing investigations of chromatin, replication, recombination, mutation, repair, transcription, translation and RNA processing and function.