目的建立m6A特异性烯丙基标记测序(m6A-selective allyl chemical labeling and sequencing,m6A-SAC-seq)实验方法体系,在单核苷酸分辨率水平对RNA的N6-甲基腺苷(m6A)修饰进行检测。方法m6A烯丙基标记测序(m6A-SAC-seq)使用特异性甲基...目的建立m6A特异性烯丙基标记测序(m6A-selective allyl chemical labeling and sequencing,m6A-SAC-seq)实验方法体系,在单核苷酸分辨率水平对RNA的N6-甲基腺苷(m6A)修饰进行检测。方法m6A烯丙基标记测序(m6A-SAC-seq)使用特异性甲基转移酶MjDim1对m6A添加烯丙基标记成为N6-烯丙基-甲基腺苷(am6A),使用I2处理产生N1,N6-环化腺苷(A)产物,在逆转录时引入突变,从而实现在单核苷酸分辨率水平的检测。通过HPLC法纯化甲基转移酶MjDim1,使用探针及液相色谱-质谱联用系统(LC-MS/MS)检测m6A的转换率,计算MjDim1活性作为质控。提取样品RNA,用烯丙基标记m6A,并用m6A-SAC-seq技术构建文库,测序后通过数据分析得到m6A位点信息,通过标准曲线校准计算得到m6A的含量。结果m6A-SAC-seq处理后,HIV逆转录酶识别环化的am6A位点,引入突变,但附近未修饰位点不发生突变。通过特定的A突变成T/C的突变位置(A to T/C)来识别m6A位点,并添加内参探针,用标准曲线来定量m6A含量。结论m6A-SAC-seq技术仅需30 ng的mRNA或去除了rRNA的总RNA样本就可以实现m6A位点在单核苷酸分辨率水平的检测。展开更多
The authors want to changed the web link of the software platform in this Briefing.Page 97,section 'INTRODUCTION',the web link of SHEsis is changed from http://www.nhgg.org/analysis tohttp://analysis.bio-x.
PCR has been a general preferred method for biological research in fish,and previous research have enabled us to extract and purify PCR-quality DNA templates in laboratories [1-4].The same problem among these procedur...PCR has been a general preferred method for biological research in fish,and previous research have enabled us to extract and purify PCR-quality DNA templates in laboratories [1-4].The same problem among these procedures is waiting for tissue digesting for a long time.The overabundance time spent on PCR-quality DNA extraction restricts the efficiency of PCR assay,especially in large-scale PCR amplification,such as SSR-based genetic-mapping construction [5,6],identification of germ plasm resource[7,8] and evolution research [9,10],etc.In this study,a stable and rapid PCR-quality DNA extraction method was explored,using a modified alkaline lysis protocol.Extracting DNA for PCR only takes approximately 25 minutes.This stable and rapid DNA extraction method could save much laboratory time and promotes.展开更多
为了实现提高产量和抵抗病害等能力的目的,需要提高育种水平,通过设计交差验证(Cross-Validation)实验进行大豆基因型和表型数据的分组处理,根据数据的个体和mark的数量进行合理分配,采用gBLUP(genomic Best Linear Unbiased Prediction...为了实现提高产量和抵抗病害等能力的目的,需要提高育种水平,通过设计交差验证(Cross-Validation)实验进行大豆基因型和表型数据的分组处理,根据数据的个体和mark的数量进行合理分配,采用gBLUP(genomic Best Linear Unbiased Prediction)方法进行表型预测。根据对大豆数据多个性状通过不同分组的对比来得到精确值的范围,为后续的育种分析提供依据。对于只有大豆基因型数据而没有表型数据的情况,需要模拟表型,根据设定遗传力和模拟位点的个数(NQTN)进行模拟,然后再进行不同分组获取精准值,这样扩大了大豆数据的预测灵活性。展开更多
文摘目的建立m6A特异性烯丙基标记测序(m6A-selective allyl chemical labeling and sequencing,m6A-SAC-seq)实验方法体系,在单核苷酸分辨率水平对RNA的N6-甲基腺苷(m6A)修饰进行检测。方法m6A烯丙基标记测序(m6A-SAC-seq)使用特异性甲基转移酶MjDim1对m6A添加烯丙基标记成为N6-烯丙基-甲基腺苷(am6A),使用I2处理产生N1,N6-环化腺苷(A)产物,在逆转录时引入突变,从而实现在单核苷酸分辨率水平的检测。通过HPLC法纯化甲基转移酶MjDim1,使用探针及液相色谱-质谱联用系统(LC-MS/MS)检测m6A的转换率,计算MjDim1活性作为质控。提取样品RNA,用烯丙基标记m6A,并用m6A-SAC-seq技术构建文库,测序后通过数据分析得到m6A位点信息,通过标准曲线校准计算得到m6A的含量。结果m6A-SAC-seq处理后,HIV逆转录酶识别环化的am6A位点,引入突变,但附近未修饰位点不发生突变。通过特定的A突变成T/C的突变位置(A to T/C)来识别m6A位点,并添加内参探针,用标准曲线来定量m6A含量。结论m6A-SAC-seq技术仅需30 ng的mRNA或去除了rRNA的总RNA样本就可以实现m6A位点在单核苷酸分辨率水平的检测。
文摘The authors want to changed the web link of the software platform in this Briefing.Page 97,section 'INTRODUCTION',the web link of SHEsis is changed from http://www.nhgg.org/analysis tohttp://analysis.bio-x.
基金Special Fund for Agro-scientific Research in the Public Interest:200903045Natural Science Foundation of China:31101894
文摘PCR has been a general preferred method for biological research in fish,and previous research have enabled us to extract and purify PCR-quality DNA templates in laboratories [1-4].The same problem among these procedures is waiting for tissue digesting for a long time.The overabundance time spent on PCR-quality DNA extraction restricts the efficiency of PCR assay,especially in large-scale PCR amplification,such as SSR-based genetic-mapping construction [5,6],identification of germ plasm resource[7,8] and evolution research [9,10],etc.In this study,a stable and rapid PCR-quality DNA extraction method was explored,using a modified alkaline lysis protocol.Extracting DNA for PCR only takes approximately 25 minutes.This stable and rapid DNA extraction method could save much laboratory time and promotes.
文摘为了实现提高产量和抵抗病害等能力的目的,需要提高育种水平,通过设计交差验证(Cross-Validation)实验进行大豆基因型和表型数据的分组处理,根据数据的个体和mark的数量进行合理分配,采用gBLUP(genomic Best Linear Unbiased Prediction)方法进行表型预测。根据对大豆数据多个性状通过不同分组的对比来得到精确值的范围,为后续的育种分析提供依据。对于只有大豆基因型数据而没有表型数据的情况,需要模拟表型,根据设定遗传力和模拟位点的个数(NQTN)进行模拟,然后再进行不同分组获取精准值,这样扩大了大豆数据的预测灵活性。
