Experimental RNomics and genomic comparative analysis reveal a large group of species-specific small non-message RNAs in the silkworm Bombyx mori

Accumulating evidences show that small non-protein coding RNAs (ncRNAs) play important roles in development, stress response and other cellular processes. The silkworm is an important model for studies on insect genetics and control of lepidopterous pests. Here, we have performed the first systematic identification and analysis of intermediate size ncRNAs (50-500 nt) in the silkworm. We identified 189 novel ncRNAs, including 141 snoRNAs, six snRNAs, three tRNAs, one SRP and 38 unclassified ncRNAs. Forty ncRNAs showed significantly altered expression during silkworm development or across specific stage transitions. Genomic comparisons revealed that 123 of these ncRNAs are potentially silkworm-specific. Analysis of the genomic organization of the ncRNA loci showed that 32.62% of the novel snoRNA loci are intergenic, and that all the intronic snoRNAs follow the pattern of one-snoRNA-per-intron. Target site analysis predicted a total of 95 2'-O-methylation and pseudouridylation modification sites of rRNAs, snRNAs and tRNAs. Together, these findings provide new clues for future functional study of ncRNA during insect development and evolution.     

Generation of a neuro-specific microarray reveals novel differentially expressed noncoding RNAs in mouse models for neurodegenerative diseases

We have generated a novel, neuro-specific ncRNA microarray, covering 1472 ncRNA species, to investigate their expression in different mouse models for central nervous system diseases. Thereby, we analyzed ncRNA expression in two mouse models with impaired calcium channel activity, implicated in Epilepsy or Parkinson''s disease, respectively, as well as in a mouse model mimicking pathophysiological aspects of Alzheimer''s disease. We identified well over a hundred differentially expressed ncRNAs, either from known classes of ncRNAs, such as miRNAs or snoRNAs or which represented entirely novel ncRNA species. Several differentially expressed ncRNAs in the calcium channel mouse models were assigned as miRNAs and target genes involved in calcium signaling, thus suggesting feedback regulation of miRNAs by calcium signaling. In the Alzheimer mouse model, we identified two snoRNAs, whose expression was deregulated prior to amyloid plaque formation. Interestingly, the presence of snoRNAs could be detected in cerebral spine fluid samples in humans, thus potentially serving as early diagnostic markers for Alzheimer''s disease. In addition to known ncRNAs species, we also identified 63 differentially expressed, entirely novel ncRNA candidates, located in intronic or intergenic regions of the mouse genome, genomic locations, which previously have been shown to harbor the majority of functional ncRNAs.     

The expression analysis of silk gland-enriched intermediate-size non-coding RNAs in silkworm Bombyx mori

Small non-protein coding RNAs （ncRNAs） play important roles in development, stress response and other cellular processes. Silkworm is an important model for studies on insect genetics and control of Lepidopterous pests. We have previously identified 189 novel intermediate-size ncRNAs in silkworm Bombyx mori, including 40 ncRNAs that showed altered expression in different developmental stages. Here we characterized the functions of these 40 ncRNAs by measuring their expressions in six tissues of the fifth instar larvae using Northern blot and real-time polymerase chain reaction assays. We identified nine ncRNAs （four small nucleolar RNAs and five unclassified ncRNAs） that were enriched in silk gland, including four ncRNAs that showed silk gland-specific expression. We further showed that three of nine silk gland-enriched ncRNAs were predominantly expressed in the anterior silk gland, whereas another three ncRNAs were highly accumulated in the posterior silk gland, suggesting that they may play different roles in fibroin synthesis. Furthermore, an unclassified ncRNA, Bm- 152, exhibited converse expression pattem with its antisense host gene gartenzwerg in diverse tissues, and might regulate the expression of gartenzwerg through RNA-protein complex. In addition, two silk gland-enriched ncRNAs Bm-102 and Bm-159 can be found in histone modification complex, which indicated that they might play roles through epigenetic modifications. Taken together, we provided the first expression and preliminary functional analysis of silk gland-enriched ncRNAs, which will help understand the molecular mechanism of silk gland-development and fibroin synthesis.     

家蚕非编码RNA在神经系统中的表达分析

【目的】非编码RNA(non-coding RNA,ncRNA)在家蚕Bombyx mori发育过程中具有重要调控作用。本研究旨在探索ncRNA参与家蚕神经系统发育的分子机理。【方法】采用实时荧光定量PCR技术对22个中等长度的ncRNA及3个ncRNA的邻近编码基因在家蚕幼虫神经系统中的表达水平进行检测。【结果】8个ncRNA(包括1个C/D box snoRNA,4个H/ACA box snoRNA和3个不能归类的ncRNA)在家蚕5龄幼虫神经组织和非神经组织中均有表达,且在胸腹神经中的表达量明显高于头部神经中的表达量。其中,snoRNA Bm-51,Bm-18和Bm-86在胸腹神经中的表达量分别是头部神经中的23,5和4.7倍。进一步研究发现,这3个内含子起源的ncRNA与其宿主基因在家蚕神经系统中的表达趋势一致,宿主基因在胸腹神经中的表达量也明显高于头部神经中的表达量。【结论】本研究筛选到的在家蚕不同神经部位存在差异表达的ncRNA,特别是在胸腹神经中高表达的ncRNA可能协同其邻近编码基因,参与家蚕神经发育或神经活动过程。该结果为研究ncRNA参与家蚕神经系统发育提供了分子依据,为从非编码RNA角度探索鳞翅目害虫防治提供了新的思路。     

Identification of ncRNAs as potential therapeutic targets in multiple sclerosis through differential ncRNA – mRNA network analysis

Background

Several studies have revealed a potential role for both small nucleolar RNAs (snoRNAs) and microRNAs (miRNAs) in the physiopathology of relapsing-remitting multiple sclerosis (RRMS). This potential implication has been mainly described through differential expression studies. However, it has been suggested that, in order to extract additional information from large-scale expression experiments, differential expression studies must be complemented with differential network studies. Thus, the present work is aimed at the identification of potential therapeutic ncRNA targets for RRMS through differential network analysis of ncRNA – mRNA coexpression networks. ncRNA – mRNA coexpression networks have been constructed from both selected ncRNA (specifically miRNAs, snoRNAs and sdRNAs) and mRNA large-scale expression data obtained from 22 patients in relapse, the same 22 patients in remission and 22 healthy controls. Condition-specific (relapse, remission and healthy) networks have been built and compared to identify the parts of the system most affected by perturbation and aid the identification of potential therapeutic targets among the ncRNAs.

Results

All the coexpression networks we built present a scale-free topology and many snoRNAs are shown to have a prominent role in their architecture. The differential network analysis (relapse vs. remission vs. controls’ networks) has revealed that, although both network topology and the majority of the genes are maintained, few ncRNA – mRNA links appear in more than one network. We have selected as potential therapeutic targets the ncRNAs that appear in the disease-specific network and were found to be differentially expressed in a previous study.

Conclusions

Our results suggest that the diseased state of RRMS has a strong impact on the ncRNA – mRNA network of peripheral blood leukocytes, as a massive rewiring of the network happens between conditions. Our findings also indicate that the role snoRNAs have in targeted gene silencing is a widespread phenomenon. Finally, among the potential therapeutic target ncRNAs, SNORA40 seems to be the most promising candidate.

Electronic supplementary material

The online version of this article (doi:10.1186/s12864-015-1396-5) contains supplementary material, which is available to authorized users.     

Methodological obstacles in knocking down small noncoding RNAs

In the recent past, several thousand noncoding RNA (ncRNA) genes have been predicted within eukaryal genomes. However, for their functional analysis only a few high-throughput methods are currently available to knock down selected ncRNA species, such as microRNAs, which are targeted by antisense probes, termed antagomirs. We thus compared the efficiencies of four knockdown strategies, previously mainly employed for the analysis of protein-coding genes, to study the function of ncRNAs, in particular, small nucleolar RNAs (snoRNAs). Thereby, the class of snoRNAs represents one of the most abundant ncRNA species. The majority of snoRNAs has been shown to mediate nucleotide modifications by targeting ribosomal RNAs (rRNAs) through complementary antisense elements. However, some snoRNAs, termed “orphan snoRNAs,” lack telltale complementarities to rRNAs and thus their function remains elusive. We therefore applied RNA interference (RNAi), locked nucleic acid (LNA), or peptide nucleic acid antisense approaches, as well as a ribozyme-based strategy to knock down a snoRNA. As a proof of principle, we targeted the canonical U81 snoRNA, which has been shown to mediate modification of nucleotide A₃₉₁ within eukaryal 28S rRNA. Our results demonstrate that while RNAi is an unsuitable tool for snoRNA knockdown, a ribozyme-based strategy, as well as an LNA-antisense oligonucleotide approach, resulted in a decrease of U81 snoRNA expression levels up to 60%. However, no concomitant decrease in enzymatic activity of U81 snoRNA was observed, indicating that improvement of more efficient knockdown techniques for ncRNAs will be required in the future.     

Computational methods in noncoding RNA research

Non protein-coding RNAs (ncRNAs) are a research hotspot in bioinformatics. Recent discoveries have revealed new ncRNA families performing a variety of roles, from gene expression regulation to catalytic activities. It is also believed that other families are still to be unveiled. Computational methods developed for protein coding genes often fail when searching for ncRNAs. Noncoding RNAs functionality is often heavily dependent on their secondary structure, which makes gene discovery very different from protein coding RNA genes. This motivated the development of specific methods for ncRNA research. This article reviews the main approaches used to identify ncRNAs and predict secondary structure. During the execution of this work, AML was supported by CAPES fellowship.     

Small nucleolar RNAs in cancer

Non-coding RNAs (ncRNAs) are important regulatory molecules involved in various physiological and cellular processes. Alterations of ncRNAs, particularly microRNAs, play crucial roles in tumorigenesis. Accumulating evidence indicates that small nucleolar RNAs (snoRNAs), another large class of small ncRNAs, are gaining prominence and more actively involved in carcinogenesis than previously thought. Some snoRNAs exhibit differential expression patterns in a variety of human cancers and demonstrate capability to affect cell transformation, tumorigenesis, and metastasis. We are beginning to comprehend the functional repercussions of snoRNAs in the development and progression of malignancy. In this review, we will describe current studies that have shed new light on the functions of snoRNAs in carcinogenesis and the potential applications for cancer diagnosis and therapy.     

Noncoding RNAs within the HOX gene network in tumor pathogenesis and progression

HOX genes are involved with normal development, cell identity, cell differentiation, cell metabolism, apoptosis, autophagy as well as with diseases such as tumor pathogenesis and progression. In particular, the genes belonging to HOX paralogous 13 seem to carry out a relevant role in both tumor development and disease progression. In recent years, several noncoding RNAs (ncRNA) sequences have been identified in HOX loci, including long noncoding RNA (lncRNA) and microRNA (miRNA), highly conserved during evolution. Many studies have shown that specific intergenic ncRNAs in HOX loci could directly modulate HOX genes expression in normal and pathological conditions. In the present review we attempt to describe the role of these ncRNAs, through the regulation of the HOX gene network, in normal cell biology, and, with particular emphasis, in diseases such as in cancer pathogenesis and progression.     

综述: 新型长链非编码RNA(lncRNA)的生物信息学研究进展

非编码RNA (noncoding RNA,ncRNA)是指不被翻译成蛋白质的一类RNA,近几年来关于它们的功能研究越来越引起人们的重视．现在已经发现了一些中小型ncRNA,比如microRNA、snoRNA、tRNA等,但是关于长ncRNA(lncRNA)的研究还不够完善．本篇综述回顾了 ncRNA特别是 lncRNA的生物信息学研究进展,包括它们的研究历程、基本特点、与疾病的关系,以及对已有的预测非编码RNA的计算机方法进行了分析和比较,并且介绍了利用机器学习模型整合新一代高通量测序数据的方法．