Epitranscriptomic technologies and analyses

RNA can interact with RNA-binding proteins(RBPs), mRNA, or other non-coding RNAs(ncRNAs) to form complex regulatory networks. High-throughput CLIP-seq, degradome-seq, and RNA-RNA interactome sequencing methods represent powerful approaches to identify biologically relevant ncRNA-target and protein-ncRNA interactions. However, assigning ncRNAs to their regulatory target genes or interacting RNA-binding proteins(RBPs) remains technically challenging. Chemical modifications to mRNA also play important roles in regulating gene expression. Investigation of the functional roles of these modifications relies highly on the detection methods used. RNA structure is also critical at nearly every step of the RNA life cycle. In this review, we summarize recent advances and limitations in CLIP technologies and discuss the computational challenges of and bioinformatics tools used for decoding the functions and regulatory networks of ncRNAs. We also summarize methods used to detect RNA modifications and to probe RNA structure.     

New insights into the role of microRNAs and long noncoding RNAs in most common neurodegenerative diseases

Neurodegenerative diseases (NDs) are a diversity of neurological disorders characterized by the progressive degeneration of the structure and function of the central nervous system (CNS). The most common NDs are Alzheimer's disease (AD), Parkinson's disease (PD), and Huntington's disease (HD). Recently, many studies have investigated associations between common NDs with noncoding RNAs (ncRNAs) molecules. ncRNAs are regulatory molecules in the normal functioning of the CNS. Two of the most important ncRNAs are microRNAs (miRNAs) and long noncoding RNAs (lncRNAs). These types of ncRNAs are involved in different biological processes including brain development, maturation, differentiation, neuronal cell specification, neurogenesis, and neurotransmission. Increasing data has demonstrated that miRNAs and lncRNAs have strong correlations with the development of NDs, particularly gene expression. Besides, ncRNAs can be introduced as new biomarkers for diagnosis and prognosis of NDs. Hence, in this review, we summarized the involvement of various miRNAs and lncRNAs in most common NDs followed by a correlation of ncRNAs dysregulation with the AD, PD, and HD.     

非编码RNA在肿瘤细胞糖代谢中的调控作用

非编码RNA(non-coding RNA,ncRNA)是一类不具有蛋白质编码潜能的RNA,可分为管家ncRNA和调控性ncRNA。微RNA(microRNA,miRNA)是研究得比较清楚的一类调控性ncRNA,不仅可调控细胞分化、增殖和凋亡,还可通过调节糖酵解途径中的限速酶［如己糖激酶(hexokinase,HK)、磷酸果糖激酶(phosphofructokinase, PFK)和丙酮酸激酶(pyruvate kinase, PK)］来调控肿瘤细胞的糖代谢。长链非编码RNA(long non-coding RNA, lncRNA)是另一类近年来引起重视的调控性ncRNA,它们可通过调节癌基因c Myc、葡糖转运蛋白(glucose transporter, GLUT)、HK和缺氧诱导因子等来调控肿瘤细胞的糖代谢。深入了解miRNA和lncRNA等调控性ncRNA调控肿瘤细胞糖代谢的机制不仅可以使我们更加深入地了解肿瘤的发生机制,而且可能为肿瘤的预防、诊断和治疗提供新方向。     

Non-coding RNAs and diseases

With the completion of large scale genomic sequencing, a great number of non-conding RNAs (ncRNAs) have been discovered and capture the attention of the biological sciences community. All known ncRNAs may be divided into two groups, namely: i—small ncRNAs, which comprise microRNAs (miRNAs), PIWI-interacting RNAs (piRNAs) and short interfering RNAs (siRNAs), and ii—several thousands of long ncRNAs (lncRNAs). NcRNAs were shown to be involved in eukaryotic growth and development, cell proliferation and differentiation, apoptosis, epigenetic modifications, and also the complex control and pathogenesis of various diseases. In this paper, knowledge on the ncRNAs, which functioning is associated with human diseases, has been summarized.     

肿瘤发生过程中miRNA与lncRNA的相互作用

非编码RNA(non-coding RNA,ncRNA)是生物体内普遍存在,且对生命活动具有重要调控作用的生物分子.以微RNA（microRNA,miRNA）和长链非编码RNA（long non coding RNA,lncRNA）为代表的ncRNA分子在肿瘤发生和发展过程中都有重要的作用.越来越多研究发现,miRNA和lncRNA之间的关系是非常密切的,某些lncRNA(如H19和BIC)可以作为miRNA的前体,通过加工成miRNA而发挥作用.有些miRNA通过作用于lncRNA影响肿瘤的发生(如：miR-129与MEG3,let-7与H19);同样地,有些lncRNA通过作用于miRNA影响肿瘤的发生(如：HULC与miR-372,PTCSC3与miR-574-5p,ciRS-7与miR-7,Sry与miR-138).miRNA与lncRNA之间既可以直接相互作用,也可以通过其它分子（特别是蛋白质或蛋白质复合物）间接地影响着肿瘤的发生和发展.揭示miRNA和lncRNA相互作用在肿瘤发生中的作用可以为肿瘤的诊断和治疗提供新思路.     

The non-coding RNA composition of the mitotic chromosome by 5′-tag sequencing

Mitotic chromosomes are one of the most commonly recognized sub-cellular structures in eukaryotic cells. Yet basic information necessary to understand their structure and assembly, such as their composition, is still lacking. Recent proteomic studies have begun to fill this void, identifying hundreds of RNA-binding proteins bound to mitotic chromosomes. However, by contrast, there are only two RNA species (U3 snRNA and rRNA) that are known to be associated with the mitotic chromosome, suggesting that there are many mitotic chromosome-associated RNAs (mCARs) not yet identified. Here, using a targeted protocol based on 5′-tag sequencing to profile the mammalian mCAR population, we report the identification of 1279 mCARs, the majority of which are ncRNAs, including lncRNAs that exhibit greater conservation across 60 vertebrate species than the entire population of lncRNAs. There is also a significant enrichment of snoRNAs and specific SINE RNAs. Finally, ∼40% of the mCARs are presently unannotated, many of which are as abundant as the annotated mCARs, suggesting that there are also many novel ncRNAs in the mCARs. Overall, the mCARs identified here, together with the previous proteomic and genomic data, constitute the first comprehensive catalogue of the molecular composition of the eukaryotic mitotic chromosomes.     

A Bipartite Network-based Method for Prediction of Long Non-coding RNA–protein Interactions

As one large class of non-coding RNAs(nc RNAs), long nc RNAs(lncRNAs) have gained considerable attention in recent years. Mutations and dysfunction of lnc RNAs have been implicated in human disorders. Many lnc RNAs exert their effects through interactions with the corresponding RNA-binding proteins. Several computational approaches have been developed, but only few are able to perform the prediction of these interactions from a network-based point of view. Here,we introduce a computational method named lnc RNA–protein bipartite network inference(LPBNI). LPBNI aims to identify potential lnc RNA–interacting proteins, by making full use of the known lnc RNA–protein interactions. Leave-one-out cross validation(LOOCV) test shows that LPBNI significantly outperforms other network-based methods, including random walk(RWR)and protein-based collaborative filtering(Pro CF). Furthermore, a case study was performed to demonstrate the performance of LPBNI using real data in predicting potential lnc RNA–interacting proteins.     

Strategies and challenges for non-viral delivery of non-coding RNAs to the heart

Non‐coding RNAs (ncRNAs), such as miRNAs and long non‐coding RNAs (lncRNAs) have been reported as regulators of cardiovascular pathophysiology. Their transient effect and diversified mechanisms of action offer a plethora of therapeutic opportunities for cardiovascular diseases (CVDs). However, physicochemical RNA features such as charge, stability, and structural organization hinder efficient on-target cellular delivery. Here, we highlight recent preclinical advances in ncRNA delivery for the cardiovascular system using non‐viral approaches. We identify the unmet needs and advance possible solutions towards clinical translation. Finding the optimal delivery vehicle and administration route is vital to improve therapeutic efficacy and safety; however, given the different types of ncRNAs, this may ultimately not be frameable within a one-size-fits-all approach.     

MicroRNAs and long non-coding RNAs in pancreatic cancer: From epigenetics to potential clinical applications

MicroRNAs (miRNAs) and long non-coding RNAs (lncRNAs) are two relevant classes of non-coding RNAs (ncRNAs) that play a pivotal role in a number of molecular processes through different epigenetic regulatory mechanisms of gene expression. As a matter of fact, the altered expression of these types of RNAs leads to the development and progression of a varied range of multifactorial human diseases. Several recent reports elucidated that miRNA and lncRNAs have been implicated in pancreatic cancer (PC). For instance, dysregulation of such ncRNAs has been found to be associated with chemoresistance, apoptosis, autophagy, cell differentiation, tumor suppression, tumor growth, cancer cell proliferation, migration, and invasion in PC. Moreover, several aberrantly expressed miRNAs and lncRNAs have the potential to be used as biomarkers for accurate PC diagnosis. Additionally, miRNAs and lncRNAs are considered as promising clinical targets for PC. Therefore, in this review, we discuss recent experimental evidence regarding the clinical implications of miRNAs and lncRNAs in the pathophysiology of PC, their future potential, as well as the challenges that have arisen in this field of study in order to drive forward the design of ncRNA-based diagnostics and therapeutics for PC.     

nc2Cancer:一个研究与癌症相关人类非编码RNA的数据库

伴随着高通量测序技术的飞速发展,许多新型的非编码RNA陆续被发现,比如长链非编码RNA(lncRNA)和环状RNA(Circular RNA)。先前的研究已经表明这些非编码RNA在基因表达调控过程中起着很重要的作用,并且与癌症的发生有着很密切的联系。但是,由于研究者们仍然对它们行使何种功能知之甚少,鉴定这些非编码RNA是否与人类癌症存在密切的相互关系仍然是一个巨大的挑战。为了促进这一领域的研究,这篇文章的作者分析了大规模的RNA相互作用数据,然后建立了数据库nc2Cancer(http://www.bioinfo.tsinghua.edu.cn/nc2Cancer/index.php)。这个数据库的目标便是提供非编码RNA与癌症之间的全面关系。现在,该nc2Cancer数据库包括了三种类型的非编码RNA分子:长链非编码RNA,环状RNA以及由假基因转录而成的RNA。这项研究将有助于研究者更好地去理解非编码RNA的功能以及它们在人类癌症发生过程中所起到的作用。