Georgakilas Georgios, Perdikopanis Nikos, Hatzigeorgiou Artemis G
Department of Genetics, University of Pennsylvania, Philadelphia, PA, USA.
Institute for Immunology, University of Pennsylvania, Philadelphia, PA, USA.
Methods Mol Biol. 2018;1823:11-31. doi: 10.1007/978-1-4939-8624-8_2.
MicroRNAs (miRNAs) are small non-coding RNAs that can regulate gene expression playing vital role in nearly all biological pathways. Even though miRNAs have been intensely studied for more than two decades, information regarding miRNA transcription regulation remains limited. The rapid cleavage of primary miRNA transcripts (pri-miRNAs) by Drosha in the nucleus hinders their identification with conventional RNA-seq approaches. Identifying the transcription start site (TSS) of miRNAs will enable genome-wide identification of their expression regulators, including transcription factors (TFs), other non-coding RNAs (ncRNAs) and epigenetic modifiers, providing significant breakthroughs in understanding the mechanisms underlying miRNA expression in development and disease. Here we present a protocol that utilizes microTSS, a versatile computational framework for accurate and single-nucleotide resolution miRNA TSS predictions as well as miRGen, a database of miRNA gene TSSs coupled with genome-wide maps of TF binding sites.
微小RNA(miRNA)是一类小的非编码RNA,可调节基因表达,在几乎所有生物途径中发挥至关重要的作用。尽管对miRNA的深入研究已超过二十年,但有关miRNA转录调控的信息仍然有限。Drosha在细胞核中对初级miRNA转录本(pri-miRNA)的快速切割阻碍了用传统RNA测序方法对它们的鉴定。确定miRNA的转录起始位点(TSS)将有助于在全基因组范围内鉴定其表达调节因子,包括转录因子(TF)、其他非编码RNA(ncRNA)和表观遗传修饰因子,为理解miRNA在发育和疾病中表达的潜在机制提供重大突破。在此,我们介绍一种方案,该方案利用microTSS(一种用于准确预测miRNA TSS且具有单核苷酸分辨率的通用计算框架)以及miRGen(一个miRNA基因TSS数据库,同时还包含全基因组范围的TF结合位点图谱)。