Molecular mechanisms of long noncoding RNAs

Long noncoding RNAs (lncRNAs) are an important class of pervasive genes involved in a variety of biological functions. Here we discuss the emerging archetypes of molecular functions that lncRNAs execute-as signals, decoys, guides, and scaffolds. For each archetype, examples from several disparate biological contexts illustrate the commonality of the molecular mechanisms, and these mechanistic views provide useful explanations and predictions of biological outcomes. These archetypes of lncRNA function may be a useful framework to consider how lncRNAs acquire properties as biological signal transducers and hint at their possible origins in evolution. As new lncRNAs are being discovered at a rapid pace, the molecular mechanisms of lncRNAs are likely to be enriched and diversified.     

Identifying sequence features that drive ribosomal association for lncRNA

Background

With the increasing number of annotated long noncoding RNAs (lncRNAs) from the genome, researchers are continually updating their understanding of lncRNAs. Recently, thousands of lncRNAs have been reported to be associated with ribosomes in mammals. However, their biological functions or mechanisms are still unclear.

Results

In this study, we tried to investigate the sequence features involved in the ribosomal association of lncRNA. We have extracted ninety-nine sequence features corresponding to different biological mechanisms (i.e., RNA splicing, putative ORF, k-mer frequency, RNA modification, RNA secondary structure, and repeat element). An \(\mathcal {L}1\)-regularized logistic regression model was applied to screen these features. Finally, we obtained fifteen and nine important features for the ribosomal association of human and mouse lncRNAs, respectively.

Conclusion

To our knowledge, this is the first study to characterize ribosome-associated lncRNAs and ribosome-free lncRNAs from the perspective of sequence features. These sequence features that were identified in this study may shed light on the biological mechanism of the ribosomal association and provide important clues for functional analysis of lncRNAs.

     

长链非编码RNA的功能与疾病

长链非编码RNAs（long noncoding RNAs,lncRNAs）是一类长度大于200 nt且不表现出任何蛋白质编码潜能的RNAs,在总非编码RNAs(ncRNA)中占有相当大的比例.对lncRNAs的研究将有助于理解生命体多层次的表达调控网络,并有望为复杂疾病的预测、诊断、和治疗提供新的分子依据.本文在简要介绍lncRNAs的基础上,综合分析了lncRNAs与表观遗传、基因表达调控和疾病发生的关系,以期为进一步的研究提供参考.     

Genome-wide analysis of long non-coding RNAs in Pichia pastoris during stress by RNA sequencing

Long non-coding RNAs play significant roles in many biological processes. The roles of lncRNAs in Pichia pastoris remain unclear. In this work, we focused on the identification of lncRNAs in P. pastoris and exploration of their potential roles in stress response to PLA₂ overexpression and methanol induction. By strand specific RNA sequencing, 208 novel long non-coding RNAs were identified and analyzed. Bioinformatic analysis showed potential trans-target genes and cis-regulated genes of 39 differential lncRNAs. Functional annotation and sequence motif analysis indicated that lncRNAs participate in pathways related to methanol degradation and production of the recombinant protein. The differential expression of lncRNAs was validated by qRT-PCR. Lastly, the potential functions of three lncRNAs were evaluated by knockdown of their expression and analysis of the expression levels of target genes. Our study identifies novel lncRNAs in P. pastoris induced during use as a bioreactor, facilitating future functional research.     

Genome-wide identification and characterization of putative lncRNAs in the diamondback moth, Plutella xylostella (L.)

Long non-coding RNAs (lncRNAs) are of particular interest because of their contributions to many biological processes. Here, we present the genome-wide identification and characterization of putative lncRNAs in a global insect pest, Plutella xylostella. A total of 8096 lncRNAs were identified and classified into three groups. The average length of exons in lncRNAs was longer than that in coding genes and the GC content was lower than that in mRNAs. Most lncRNAs were flanked by canonical splice sites, similar to mRNAs. Expression profiling identified 114 differentially expressed lncRNAs during the DBM development and found that majority were temporally specific. While the biological functions of lncRNAs remain uncharacterized, many are microRNA precursors or competing endogenous RNAs involved in micro-RNA regulatory pathways. This work provides a valuable resource for further studies on molecular bases for development of DBM and lay the foundation for discovery of lncRNA functions in P. xylostella.     

LncRNA and mRNA integration network reconstruction reveals novel key regulators in esophageal squamous-cell carcinoma

Many experimental and computational studies have identified key protein coding genes in initiation and progression of esophageal squamous cell carcinoma (ESCC). However, the number of researches that tried to reveal the role of long non-coding RNAs (lncRNAs) in ESCC has been limited. LncRNAs are one of the important regulators of cancers which are transcribed dominantly in the genome and in various conditions. The main goal of this study was to use a systems biology approach to predict novel lncRNAs as well as protein coding genes associated with ESCC and assess their prognostic values. By using microarray expression data for mRNAs and lncRNAs from a large number of ESCC patients, we utilized “Weighted Gene Co-expression Network Analysis” (WGCNA) method to make a big coding-non-coding gene co-expression network, and discovered important functional modules. Gene set enrichment and pathway analysis revealed major biological processes and pathways involved in these modules. After selecting some protein coding genes involved in biological processes and pathways related to cancer, we used “LncTar”, a computational tool to predict potential interactions between these genes and lncRNAs. By combining interaction results with Pearson correlations, we introduced some novel lncRNAs with putative key regulatory roles in the network. Survival analysis with Kaplan-Meier estimator and Log-rank test statistic confirmed that most of the introduced genes are associated with poor prognosis in ESCC. Overall, our study reveals novel protein coding genes and lncRNAs associated with ESCC, along with their predicted interactions. Based on the promising results of survival analysis, these genes can be used as good estimators of patients' survival, or even can be analyzed further as new potential signatures or targets for the therapy of ESCC disease.     

Conservation analysis of long non-coding RNAs in plants

Long non-coding RNAs (lncRNAs) are gene regulators that have vital roles in development and adaptation to the environment in eukaryotes. However, the structural and evolutionary analyses of plant lncRNAs are limited. In this study, we performed an analysis of lncRNAs in five monocot and five dicot species. Our results showed that plant lncRNA genes were generally shorter and had fewer exons than protein-coding genes. The numbers of lncRNAs were positively correlated with the numbers of protein-coding genes in different plant species, despite a high range of variation. Sequence conservation analysis showed that the majority of lncRNAs had high sequence conservation at the intra-species and sub-species levels, reminiscent of protein-coding genes. At the inter-species level, a subset of lncRNAs were highly diverged at the nucleotide level, but conserved by position. Interestingly, we found that plant lncRNAs have identical splicing signals, and those which can form precursors or targets of miRNAs have a conservative identity in different species. We also revealed that most of the lowly expressed lncRNAs were tissue-specific, while those highly conserved were constitutively transcribed. Meanwhile, we characterized a subset of rice lncRNAs that were co-expressed with their adjacent protein-coding genes, suggesting they may play cis-regulatory roles. These results will contribute to understanding the biological significance and evolution of lncRNAs in plants.     

lncRNAs功能注释和预测

随着测序技术的发展,在各种哺乳动物中发现越来越多的长非编码RNAs（long non-coding RNAs,lncRNAs）,但是大部分lncRNAs的功能却未知.鉴于lncRNAs在众多生物过程如免疫反应、发育和基因印迹中表现出对蛋白编码基因和其它非编码RNAs的重要调节作用,对lncRNAs的功能研究也成为生物学家和生物信息学家研究的热点. 其中,功能注释和预测是目前研究lncRNAs功能的主要方法之一.本文主要对lncRNAs功能注释和预测方法的研究进展作一综述,包括以下几个方面：基于共表达网络的方法、基于miRNAs的方法、基于蛋白质结合的方法、基于表观遗传修饰的方法以及基于ceRNA网络的方法. 为进一步研究lncRNAs的功能提供参考,同时为开发更加有效的注释或预测方法提供线索.     

长链非编码RNA——抗病毒天然免疫应答的新兴调控因子

长链非编码RNA(long non-coding RNAs, lncRNAs)是长度超过200nt的非编码RNA分子的总称。作为一类重要的基因调控因子,lncRNAs在表观遗传学、转录及转录后等多个水平调控靶基因的表达。近年来的研究表明,许多lncRNAs可被病毒或干扰素(interferon, IFN)诱导表达,并作为调控因子在IFN介导的抗病毒天然免疫应答中调节抗病毒相关基因的表达。本文重点阐述了lncRNAs在IFN介导的抗病毒天然免疫应答中的调控作用,尤其是对干扰素刺激基因(interferon-stimulated genes, ISGs)转录的调控作用,并归纳了lncRNAs、IFN和ISGs形成的调控网络,以期为从事lncRNAs调控IFN介导的抗病毒天然免疫应答机制研究的相关科研人员提供参考。     

长链非编码RNA数据库资源

长链非编码RNA（long non coding RNA, lncRNA)在多个水平参与调节机体的各项基础生物进程,其功能紊乱常伴随疾病的发生。鉴定lncRNA的生物学功能已成为近年来的研究热点。然而,目前从各种真核生物高通量测序中鉴定的几十万个lncRNA中,只有极少数的功能已被实验验证,这对于该领域的深入研究是个巨大的挑战。因此,许多科研机构都建立了lncRNA数据库,并且持续周期性更新,这为研究者共享、注释和分析lncRNA功能提供了十分有效的工具。本文从lncRNA原始资源整合、筛选、鉴定及功能分析和lncRNA与人类疾病等4个方面介绍各lncRNA数据库资源的最新特征和应用范围。这为研究者在选择不同数据库资源进行lncRNA鉴定和分析时提供参考。