Naarmann-de Vries Isabel S, Eschenbach Jessica, Schudy Sarah, Meder Benjamin, Dieterich Christoph
Department of Internal Medicine III, Klaus Tschira Institute for Integrative Computational Cardiology, University Hospital Heidelberg, Heidelberg, Germany.
German Center for Cardiovascular Research (DZHK), Partner Site Heidelberg/Mannheim, Heidelberg, Germany.
Front Mol Biosci. 2022 Jun 8;9:875805. doi: 10.3389/fmolb.2022.875805. eCollection 2022.
Recently, circular RNAs (circRNAs) have been extensively studied in animals and plants. circRNAs are generated by backsplicing from the same linear transcripts that are canonically spliced to produce, for example, mature mRNAs. circRNAs exhibit tissue-specific expression and are potentially involved in many diseases, among them cardiovascular diseases. The comprehensive analysis of circRNA expression patterns across larger patient cohorts requires a streamlined and cost-effective workflow designed to meet small input requirements. In this article, we present Lexo-circSeq, a targeted RNA sequencing approach that can profile up to 110 circRNAs and their corresponding linear transcripts in one experiment. We established Lexo-circSeq employing total human heart RNA and show that our protocol can detect depletion of a specific circRNA in hiPSC-derived cardiomyocytes. Finally, Lexo-circSeq was applied to biopsies from patients diagnosed with dilated cardiomyopathy (DCM) and hypertrophic cardiomyopathy (HCM), respectively. Interestingly, our results indicate that circular-to-linear-ratios for circSLC8A1 and circRBM33 are deregulated in cardiomyopathy.
最近,环状RNA(circRNAs)在动植物中得到了广泛研究。circRNAs是由同一线性转录本通过反向剪接产生的,这些线性转录本通常会进行剪接以产生例如成熟的mRNA。circRNAs表现出组织特异性表达,并可能参与多种疾病,其中包括心血管疾病。对更大患者队列中的circRNA表达模式进行全面分析需要一个简化且经济高效的工作流程,以满足少量样本输入的要求。在本文中,我们介绍了Lexo-circSeq,这是一种靶向RNA测序方法,可在一次实验中分析多达110种circRNAs及其相应的线性转录本。我们使用人心脏总RNA建立了Lexo-circSeq,并表明我们的方案可以检测人诱导多能干细胞衍生的心肌细胞中特定circRNA的缺失。最后,Lexo-circSeq分别应用于诊断为扩张型心肌病(DCM)和肥厚型心肌病(HCM)患者的活检样本。有趣的是,我们的结果表明,circSLC8A1和circRBM33的环化与线性化比率在心肌病中失调。