Bouvy-Liivrand Maria, Hernández de Sande Ana, Pölönen Petri, Mehtonen Juha, Vuorenmaa Tapio, Niskanen Henri, Sinkkonen Lasse, Kaikkonen Minna Unelma, Heinäniemi Merja
School of Medicine, University of Eastern Finland, Kuopio, North-Savo 70200, Finland.
A. I. Virtanen Institute,University of Eastern Finland, Kuopio, North-Savo 70200, Finland.
Nucleic Acids Res. 2017 Sep 29;45(17):9837-9849. doi: 10.1093/nar/gkx680.
Changes in mature microRNA (miRNA) levels that occur downstream of signaling cascades play an important role during human development and disease. However, the regulation of primary microRNA (pri-miRNA) genes remains to be dissected in detail. To address this, we followed a data-driven approach and developed a transcript identification, validation and quantification pipeline for characterizing the regulatory domains of pri-miRNAs. Integration of 92 nascent transcriptomes and multilevel data from cells arising from ecto-, endo- and mesoderm lineages reveals cell type-specific expression patterns, allows fine-resolution mapping of transcription start sites (TSS) and identification of candidate regulatory regions. We show that inter- and intragenic pri-miRNA transcripts span vast genomic regions and active TSS locations differ across cell types, exemplified by the mir-29a∼29b-1, mir-100∼let-7a-2∼125b-1 and miR-221∼222 clusters. Considering the presence of multiple TSS as an important regulatory feature at miRNA loci, we developed a strategy to quantify differential TSS usage. We demonstrate that the TSS activities associate with cell type-specific super-enhancers, differential stimulus responsiveness and higher-order chromatin structure. These results pave the way for building detailed regulatory maps of miRNA loci.
在信号级联反应下游发生的成熟微小RNA(miRNA)水平变化在人类发育和疾病过程中发挥着重要作用。然而,初级微小RNA(pri-miRNA)基因的调控仍有待详细剖析。为了解决这一问题,我们采用了数据驱动的方法,开发了一个用于表征pri-miRNA调控域的转录本鉴定、验证和定量流程。整合来自外胚层、内胚层和中胚层谱系细胞的92个新生转录组和多水平数据,揭示了细胞类型特异性表达模式,允许对转录起始位点(TSS)进行精细定位,并识别候选调控区域。我们发现基因间和基因内的pri-miRNA转录本跨越了广阔的基因组区域,并且活跃的TSS位置在不同细胞类型中存在差异,以mir-29a∼29b-1、mir-100∼let-7a-2∼125b-1和miR-221∼222簇为例。考虑到在miRNA基因座存在多个TSS这一重要调控特征,我们开发了一种策略来量化差异TSS的使用情况。我们证明TSS活性与细胞类型特异性超级增强子、差异刺激反应性和高阶染色质结构相关。这些结果为构建miRNA基因座的详细调控图谱铺平了道路。