The X as model for RNA's niche in epigenomic regulation

The Role of Selected lncRNAs in Lipid Metabolism and Cardiovascular Disease Risk

Lipid disorders increase the risk for the development of cardiometabolic disorders, including type 2 diabetes, atherosclerosis, and cardiovascular disease. Lipids levels, apart from diet, smoking, obesity, alcohol consumption, and lack of exercise, are also influenced by genetic factors. Recent studies suggested the role of long noncoding RNAs (lncRNAs) in the regulation of lipid formation and metabolism. Despite their lack of protein-coding capacity, lncRNAs are crucial regulators of various physiological and pathological processes since they affect the transcription and epigenetic chromatin remodelling. LncRNAs act as molecular signal, scaffold, decoy, enhancer, and guide molecules. This review summarises available data concerning the impact of lncRNAs on lipid levels and metabolism, as well as impact on cardiovascular disease risk. This relationship is significant because altered lipid metabolism is a well-known risk factor for cardiovascular diseases, and lncRNAs may play a crucial regulatory role. Understanding these mechanisms could pave the way for new therapeutic strategies to mitigate cardiovascular disease risk through targeted modulation of lncRNAs. The identification of dysregulated lncRNAs may pose promising candidates for therapeutic interventions, since strategies enabling the restoration of their levels could offer an effective means to impede disease progression without disrupting normal biological functions. LncRNAs may also serve as valuable biomarker candidates for various pathological states, including cardiovascular disease. However, still much remains unknown about the functions of most lncRNAs, thus extensive studies are necessary elucidate their roles in physiology, development, and disease.

Current advancements and future perspectives of long noncoding RNAs in lipid metabolism and signaling

BACKGROUND

The investigation of lncRNAs has provided a novel perspective for elucidating mechanisms underlying diverse physiological and pathological processes. Compelling evidence has revealed an intrinsic link between lncRNAs and lipid metabolism, demonstrating that lncRNAs-induced disruption of lipid metabolism and signaling contribute to the development of multiple cancers and some other diseases, including obesity, fatty liver disease, and cardiovascular disease.

AIMOF REVIEW

The current review summarizes the recent advances in basic research about lipid metabolism and lipid signaling-related lncRNAs. Meanwhile, the potential and challenges of targeting lncRNA for the therapy of cancers and other lipid metabolism-related diseases are also discussed.

KEY SCIENTIFIC CONCEPT OF REVIEW

Compared with the substantial number of lncRNA loci, we still know little about the role of lncRNAs in metabolism. A more comprehensive understanding of the function and mechanism of lncRNAs may provide a new standpoint for the study of lipid metabolism and signaling. Developing lncRNA-based therapeutic approaches is an effective strategy for lipid metabolism-related diseases.

Specialized Ribosomes in Health and Disease

Ribosomal heterogeneity exists within cells and between different cell types, at specific developmental stages, and occurs in response to environmental stimuli. Mounting evidence supports the existence of specialized ribosomes, or specific changes to the ribosome that regulate the translation of a specific group of transcripts. These alterations have been shown to affect the affinity of ribosomes for certain mRNAs or change the cotranslational folding of nascent polypeptides at the exit tunnel. The identification of specialized ribosomes requires evidence of the incorporation of different ribosomal proteins or of modifications to rRNA and/or protein that lead(s) to physiologically relevant changes in translation. In this review, we summarize ribosomal heterogeneity and specialization in mammals and discuss their relevance to several human diseases.

A novel mechanism of the lncRNA PTTG3P/miR-142-5p/JAG1 axis modulating tongue cancer cell phenotypes through the Notch1 signaling

Tongue cancer is the most prevalent type of oral cancer. Our previous study revealed that JAG1 exerted an oncogenic effect on tongue carcinoma through the JAG1/Notch pathway. In this study, a lncRNA PTTG3P which was upregulated in tongue cancer, was found to be positively correlated with JAG1. In CAL-27 and SCC4 cells, PTTG3P silencing significantly decreased JAG1 proteins and the ability of tongue tumor cells to proliferate and migrate. PTTG3P overexpression exhibited the opposite effect on CAL-27 and SCC4 cells. PPTG3P directly bound miR-142-5p, and miR-142-5p directly bound 3'UTR of JAG1 and inhibited the expression levels of JAG1. As opposed to PTTG3P silencing, miR-142-5p inhibition increased JAG1 protein levels and tongue cancer cell proliferation and migration; moreover, miR-142-5p inhibition substantially reversed the effects of PTTG3P silencing. Finally, the PPTG3P/miR-142-5p axis regulated the level of NICD, Notch downstream c-myc, and cyclin D1, as well as EMT markers Snail, Twist, and Vimentin. In conclusion, the PTTG3P/miR-142-5p axis modulates tongue cancer aggressiveness through JAG1, potentially through a JAG1/Notch signaling pathway.

DGUOK-AS1 acts as a tumorpromoter through regulatingmiR-204-5p/IL-11 axis in breast cancer

Breast cancer is one of the most lethal malignancies among women; however, the underlying molecular mechanism involved in the progression and metastasis of breast cancer remains unclear. Numerous studies have confirmed that long noncoding RNAs are abnormally expressed in breast cancer and play crucial roles in cell proliferation and metastasis. In the study, we evaluated the functional role and detailed mechanism of DGUOK-AS1 in breast cancer progression and metastasis. DGUOK-AS1 knockdown suppressed proliferation, migration, and invasion of breast cancer cells in vitro and in vivo. Mechanistically, miR-204-5p was identified as an inhibitory target of DGUOK-AS1, which served as a tumor suppressor in breast cancer. Significantly, we found that the ectopic expression of miR-204-5p could counteract DGUOK-AS1-mediated promotion of cell proliferation and metastasis in breast cancer. Moreover, IL-11 was found to be the downstream target of miR-204-5p, and DGUOK-AS1 could protect IL-11 from miR-204-5p-mediated degradation. DGUOK-AS1 overexpression promoted breast cancer cell migration, angiogenesis, and macrophage migration, mediating by the increased secretion of IL-11, which was extremely important for cancer progression. Collectively, our studies reveal that DGUOK-AS1/miR-204-5p/IL-11 axis plays a significant role in the progression and metastasis of breast cancer, and DGUOK-AS1 might be a novel biomarker and therapeutic target for breast cancer.

Long Non-Coding RNAs in Cardiovascular Diseases: Potential Function as Biomarkers and Therapeutic Targets of Exercise Training

Despite advances in treatments and therapies, cardiovascular diseases (CVDs) remain one of the leading causes of death worldwide. The discovery that most of the human genome, although transcribed, does not encode proteins was crucial for focusing on the potential of long non-coding RNAs (lncRNAs) as essential regulators of cell function at the epigenetic, transcriptional, and post-transcriptional levels. This class of non-coding RNAs is related to the pathophysiology of the cardiovascular system. The different expression profiles of lncRNAs, in different contexts of CVDs, change a great potential in their use as a biomarker and targets of therapeutic intervention. Furthermore, regular physical exercise plays a protective role against CVDs; on the other hand, little is known about its underlying molecular mechanisms. In this review, we look at the accumulated knowledge on lncRNAs and their functions in the cardiovascular system, focusing on the cardiovascular pathology of arterial hypertension, coronary heart disease, acute myocardial infarction, and heart failure. We discuss the potential of these molecules as biomarkers for clinical use, their limitations, and how the manipulation of the expression profile of these transcripts through physical exercise can begin to be suggested as a strategy for the treatment of CVDs.

Novel localizations and interactions of intercellular bridge proteins revealed by proteomic profiling†

Intercellular bridges (ICBs) connecting germ cells are essential for spermatogenesis, and their deletion causes male infertility. However, the functions and component factors of ICBs are still unknown. We previously identified novel ICB-associated proteins by proteomics analysis using ICB enrichment. Here, we performed immunoprecipitation-proteomics analyses using antibodies specific to known ICB proteins MKLP1, RBM44, and ectoplasmic specialization-associated protein KIAA1210 and predicted protein complexes in the ICB cores. KIAA1210, its binding protein topoisomerase2B (TOP2B), and tight junction protein ZO1 were identified as novel ICB proteins. On the other hand, as well as KIAA1210 and TOP2B, MKLP1 and RBM44, but not TEX14, were localized at the XY body of spermatocytes, suggesting that there is a relationship between ICB proteins and meiotic chromosomes. Moreover, small RNAs interacted with an ICB protein complex that included KIAA1210, RBM44, and MKLP1. These results indicate dynamic movements of ICB proteins and suggest that ICB proteins could be involved not only in the communication between germ cells but also in their epigenetic regulation. Our results provide a novel perspective on the function of ICBs and could be helpful in revealing the biological function of the ICB.

Advances in Computational Methodologies for Classification and Sub-Cellular Locality Prediction of Non-Coding RNAs

Apart from protein-coding Ribonucleic acids (RNAs), there exists a variety of non-coding RNAs (ncRNAs) which regulate complex cellular and molecular processes. High-throughput sequencing technologies and bioinformatics approaches have largely promoted the exploration of ncRNAs which revealed their crucial roles in gene regulation, miRNA binding, protein interactions, and splicing. Furthermore, ncRNAs are involved in the development of complicated diseases like cancer. Categorization of ncRNAs is essential to understand the mechanisms of diseases and to develop effective treatments. Sub-cellular localization information of ncRNAs demystifies diverse functionalities of ncRNAs. To date, several computational methodologies have been proposed to precisely identify the class as well as sub-cellular localization patterns of RNAs). This paper discusses different types of ncRNAs, reviews computational approaches proposed in the last 10 years to distinguish coding-RNA from ncRNA, to identify sub-types of ncRNAs such as piwi-associated RNA, micro RNA, long ncRNA, and circular RNA, and to determine sub-cellular localization of distinct ncRNAs and RNAs. Furthermore, it summarizes diverse ncRNA classification and sub-cellular localization determination datasets along with benchmark performance to aid the development and evaluation of novel computational methodologies. It identifies research gaps, heterogeneity, and challenges in the development of computational approaches for RNA sequence analysis. We consider that our expert analysis will assist Artificial Intelligence researchers with knowing state-of-the-art performance, model selection for various tasks on one platform, dominantly used sequence descriptors, neural architectures, and interpreting inter-species and intra-species performance deviation.

Strategies to target long non-coding RNAs in cancer treatment: progress and challenges

Background

Long non-coding RNAs are important regulators of gene expression and diverse biological processes. Their aberrant expression contributes to a verity of diseases including cancer development and progression, providing them with great potential to be diagnostic and prognostic biomarkers and therapeutic targets. Therefore, they can have a key role in personalized cancer medicine.

This review aims at introducing possible strategies to target long ncRNAs therapeutically in cancer. Also, chemical modification of nucleic acid-based therapeutics to improve their pharmacological properties is explained. Then, approaches for the systematic delivery of reagents into the tumor cells or organs are briefly discussed, followed by describing obstacles to the expansion of the therapeutics.

Main text

Long ncRNAs function as oncogenes or tumor suppressors, whose activity can modulate all hallmarks of cancer. They are expressed in a very restricted spatial and temporal pattern and can be easily detected in the cells or biological fluids of patients. These properties make them excellent targets for the development of anticancer drugs. Targeting methods aim to attenuate oncogenic lncRNAs or interfere with lncRNA functions to prevent carcinogenesis. Numerous strategies including suppression of oncogenic long ncRNAs, alternation of their epigenetic effects, interfering with their function, restoration of downregulated or lost long ncRNAs, and recruitment of long ncRNAs regulatory elements and expression patterns are recommended for targeting long ncRNAs therapeutically in cancer. These approaches have shown inhibitory effects on malignancy. In this regard, proliferation, migration, and invasion of tumor cells have been inhibited and apoptosis has been induced in different cancer cells in vitro and in vivo. Downregulation of oncogenic long ncRNAs and upregulation of some growth factors (e.g., neurotrophic factor) have been achieved.

Conclusions

Targeting long non-coding RNAs therapeutically in cancer and efficient and safe delivery of the reagents have been rarely addressed. Only one clinical trial involving lncRNAs has been reported. Among different technologies, RNAi is the most commonly used and effective tool to target lncRNAs. However, other technologies need to be examined and further research is essential to put lncRNAs into clinical practice.

Non-coding RNAS and colorectal cancer liver metastasis

More than 50% of colorectal cancer (CRC) deaths are attributed to metastasis, and the liver is the most common distant metastatic site of CRC. The molecular mechanisms underlying CRC liver metastasis are very complicated and remain largely unknown. Accumulated evidence has shown that non-coding RNAs (NcRNAs) play critical roles in tumor development and progression. Here we reviewed the roles and underlying mechanisms of NcRNAs in CRC liver metastasis.

Regulation of Breast Cancer Progression by Noncoding RNAs

BACKGROUND

Breast cancer (BC) is the cardinal cause of cancer-related deaths among women across the globe. Our understanding of the molecular mechanisms underlying BC invasion and metastasis remains insufficient. Recent studies provide compelling evidence on the prospective contribution of noncoding RNAs (ncRNAs) and the association of different interactive mechanisms between these ncRNAs with breast carcinogenesis. MicroRNAs (small ncRNAs) and lncRNAs (long ncRNAs) have been explored extensively as classes of ncRNAs in the pathogenesis of several malignancies, including BC.

OBJECTIVE

In this review, we aim to provide a better understanding of the involvement of miRNAs and lncRNAs and their underlying mechanisms in BC development and progression that may assist the development of monitoring biomarkers and therapeutic strategies to effectively combat BC.

CONCLUSION

These ncRNAs play critical roles in cell growth, cell cycle regulation, epithelialmesenchymal transition (EMT), invasion, migration, and apoptosis among others, and were observed to be highly dysregulated in several cancers. The miRNAs and lncRNAs were observed to interact with each other through several mechanisms that governed the expression of their respective targets and could act either as tumor suppressors or as oncogenes, playing a crucial part in breast carcinogenesis.

Long noncoding RNA PAHAL modulates locust behavioural plasticity through the feedback regulation of dopamine biosynthesis

Some long noncoding RNAs (lncRNAs) are specifically expressed in brain cells, implying their neural and behavioural functions. However, how lncRNAs contribute to neural regulatory networks governing the precise behaviour of animals is less explored. Here, we report the regulatory mechanism of the nuclear-enriched lncRNA PAHAL for dopamine biosynthesis and behavioural adjustment in migratory locusts (Locusta migratoria), a species with extreme behavioral plasticity. PAHAL is transcribed from the sense (coding) strand of the gene encoding phenylalanine hydroxylase (PAH), which is responsible for the synthesis of dopamine from phenylalanine. PAHAL positively regulates PAH expression resulting in dopamine production in the brain. In addition, PAHAL modulates locust behavioral aggregation in a population density-dependent manner. Mechanistically, PAHAL mediates PAH transcriptional activation by recruiting serine/arginine-rich splicing factor 2 (SRSF2), a transcription/splicing factor, to the PAH proximal promoter. The co-activation effect of PAHAL requires the interaction of the PAHAL/SRSF2 complex with the promoter-associated nascent RNA of PAH. Thus, the data support a model of feedback modulation of animal behavioural plasticity by an lncRNA. In this model, the lncRNA mediates neurotransmitter metabolism through orchestrating a local transcriptional loop.

The neurotransmitter dopamine is crucial for the neuronal and behavioral response in animals. Phenylalanine hydroxylase (PAH) is involved in dopamine biosynthesis and behavioral regulation in the migratory locust. However, the molecular mechanism for the fine tuning of PAH expression in behavioral response remains ambiguous. Here we discovered a nuclear-enriched lncRNA PAHAL that is transcribed from the coding strand of the PAH gene in the locust (i.e., sense lncRNA). PAHAL positively regulated PAH expression and dopamine production in the brain. In addition, PAHAL modulated behavioral aggregation of the locust. Mechanistically, PAHAL mediated the transcriptional activation of PAH by recruiting SRSF2, a transcription/splicing factor, to the promoter-associated nascent RNA of PAH. These data support a model of feedback modulation of dopamine biosynthesis and behavioral plasticity via a sense lncRNA in the catecholamine metabolic pathway.

Computational models for lncRNA function prediction and functional similarity calculation

From transcriptional noise to dark matter of biology, the rapidly changing view of long non-coding RNA (lncRNA) leads to deep understanding of human complex diseases induced by abnormal expression of lncRNAs. There is urgent need to discern potential functional roles of lncRNAs for further study of pathology, diagnosis, therapy, prognosis, prevention of human complex disease and disease biomarker detection at lncRNA level. Computational models are anticipated to be an effective way to combine current related databases for predicting most potential lncRNA functions and calculating lncRNA functional similarity on the large scale. In this review, we firstly illustrated the biological function of lncRNAs from five biological processes and briefly depicted the relationship between mutations or dysfunctions of lncRNAs and human complex diseases involving cancers, nervous system disorders and others. Then, 17 publicly available lncRNA function-related databases containing four types of functional information content were introduced. Based on these databases, dozens of developed computational models are emerging to help characterize the functional roles of lncRNAs. We therefore systematically described and classified both 16 lncRNA function prediction models and 9 lncRNA functional similarity calculation models into 8 types for highlighting their core algorithm and process. Finally, we concluded with discussions about the advantages and limitations of these computational models and future directions of lncRNA function prediction and functional similarity calculation. We believe that constructing systematic functional annotation systems is essential to strengthen the prediction accuracy of computational models, which will accelerate the identification process of novel lncRNA functions in the future.

Crosstalk of mRNA, miRNA, lncRNA, and circRNA and Their Regulatory Pattern in Pulmonary Fibrosis

Noncoding RNAs (ncRNAs), such as microRNA (miRNA), long ncRNA (lncRNA), and circular RNA (circRNA), are regulators of important biological functions. Therefore, understanding their crosstalk and regulatory patterns can provide treatment for diseases. In this study, differentially expressed RNA transcripts were obtained by RNA sequencing in bleomycin-induced pulmonary fibrosis in mice. Four miRNAs, 10 lncRNAs, and two circRNAs were tested to validate the sequencing. There were differentially expressed 585 mRNAs, 236 miRNAs, 272 lncRNAs, and 74 circRNAs in pulmonary fibrosis. Their location on chromosome, length varieties, interaction, and host genes were analyzed. lnc949, circ949, and circ057 were chosen to explore the detailed crosstalk and regulatory pattern, which were measured by using RNA-FISH, dual-luciferase reporter assay, real-time cell analysis and rescue experiment, co-localization analysis, RNA immunoprecipitation, and RNA pull down. The data showed that the three ncRNAs were predominant in the cytoplasm, and their regulatory patterns were focused on post-transcription. The fibrotic function of lnc949 depended on its host gene FKBP5. circ949 and circ057 formed a regulatory network with lnc865 and lnc556 to simultaneously regulate miR-29b-2-5p targeting STAT3 phosphorylation. Collectively, different RNAs can crosstalk with each other to regulate pulmonary fibrosis through different regulatory patterns. We hope these data can provide a full concept of RNA transcripts, leading to a new treatment for pulmonary fibrosis.

iLoc-lncRNA: predict the subcellular location of lncRNAs by incorporating octamer composition into general PseKNC

Motivation

Long non-coding RNAs (lncRNAs) are a class of RNA molecules with more than 200 nucleotides. They have important functions in cell development and metabolism, such as genetic markers, genome rearrangements, chromatin modifications, cell cycle regulation, transcription and translation. Their functions are generally closely related to their localization in the cell. Therefore, knowledge about their subcellular locations can provide very useful clues or preliminary insight into their biological functions. Although biochemical experiments could determine the localization of lncRNAs in a cell, they are both time-consuming and expensive. Therefore, it is highly desirable to develop bioinformatics tools for fast and effective identification of their subcellular locations.

Results

We developed a sequence-based bioinformatics tool called 'iLoc-lncRNA' to predict the subcellular locations of LncRNAs by incorporating the 8-tuple nucleotide features into the general PseKNC (Pseudo K-tuple Nucleotide Composition) via the binomial distribution approach. Rigorous jackknife tests have shown that the overall accuracy achieved by the new predictor on a stringent benchmark dataset is 86.72%, which is over 20% higher than that by the existing state-of-the-art predictor evaluated on the same tests.

Availability and implementation

A user-friendly webserver has been established at http://lin-group.cn/server/iLoc-LncRNA, by which users can easily obtain their desired results.

Supplementary information

Supplementary data are available at Bioinformatics online.

Long Non-coding RNAs Coordinate Developmental Transitions and Other Key Biological Processes in Grapevine

Long non-coding RNAs (lncRNAs) are transcripts >200 nucleotides that have prominently surfaced as dynamic regulatory molecules. Using computational approaches, we identified and characterized 56,441 lncRNAs in grapevine (Vitis vinifera) by harnessing RNA-seq data from 10 developmental stages of leaf, inflorescence, and berry tissues. We conducted differential expression analysis and determined tissue- and developmental stage-specificity of lncRNAs in grapevine, which indicated their spatiotemporal regulation. Functional annotation using co-expression analysis revealed their involvement in regulation of developmental transitions in sync with transcription factors (TFs). Further, pathway enrichment analysis revealed lncRNAs associated with biosynthetic and secondary metabolic pathways. Additionally, we identified 115, 560, and 133 lncRNAs as putative miRNA precursors, targets, and endogenous target mimics, respectively, which provided an insight into the interplay of regulatory RNAs. We also explored lncRNA-mediated regulation of extra-chromosomal genes–i.e., mitochondrial and chloroplast coding sequences and observed their involvement in key biological processes like ‘photosynthesis’ and ‘oxidative phosphorylation’. In brief, these transcripts coordinate important biological functions via interactions with both coding and non-coding RNAs as well as TFs in grapevine. Our study would facilitate future experiments in unraveling regulatory mechanisms of development in this fruit crop of economic importance.

Downregulation of growth arrest‑specific transcript 5 alleviates palmitic acid‑induced myocardial inflammatory injury through the miR‑26a/HMGB1/NF‑κB axis

Palmitic acid (PA) can induce lipotoxic damage to cardiomyocytes, although its precise mechanism of action has not been completely elucidated. Growth arrest‑specific transcript 5 (GAS5) is a long noncoding RNA that serves a regulatory role in several pathological processes, including tumorigenesis, stroke, cardiac fibrosis and osteoarthritis; however, its role in PA‑induced myocardial injury remains elusive. The present study aimed to explore the role and underlying mechanism of GAS5 on PA‑induced myocardial injury. The expression of GAS5 in PA‑treated cardiomyocytes (H9c2 cells) was detected by reverse transcription‑quantitative polymerase chain reaction (RT‑qPCR), and its effects on PA‑induced myocardial injury were measured by Cell Counting Kit‑8 and lactate dehydrogenase (LDH) assays. The activities of cytokines and nuclear factor (NF)‑κB were also detected by enzyme‑linked immunosorbent assay, while interactions between GAS5 and microRNA (miR)‑26a were evaluated by luciferase reporter assay and RT‑qPCR. The regulation of GAS5 on high mobility group box 1 (HMGB1) expression was detected by RT‑qPCR and western blotting. The results demonstrated that GAS5 was significantly upregulated in cardiomyocytes following treatment with PA. GAS5‑knockdown increased the viability of PA‑treated cardiomyocytes and reduced the activity of LDH, tumor necrosis factor‑α and interleukin‑1β. Furthermore, the present study identified that GAS5 specifically binds to miR‑26a, and a reciprocal negative regulation exists between the two. The present study also demonstrated that GAS5 downregulation inhibited HMGB1 expression and NF‑κB activation, while these suppressive effects were mediated by miR‑26a. In conclusion, the present study demonstrated that PA can induce GAS5 expression and that the downregulation of GAS5 alleviated PA‑induced myocardial inflammatory injury through the miR‑26a/HMGB1/NF‑κB axis. These data may provide a novel insight into the mechanism of myocardial lipotoxic injury.

HebbPlot: an intelligent tool for learning and visualizing chromatin mark signatures

BACKGROUND

Histone modifications play important roles in gene regulation, heredity, imprinting, and many human diseases. The histone code is complex and consists of more than 100 marks. Therefore, biologists need computational tools to characterize general signatures representing the distributions of tens of chromatin marks around thousands of regions.

RESULTS

To this end, we developed a software tool, HebbPlot, which utilizes a Hebbian neural network in learning a general chromatin signature from regions with a common function. Hebbian networks can learn the associations between tens of marks and thousands of regions. HebbPlot presents a signature as a digital image, which can be easily interpreted. Moreover, signatures produced by HebbPlot can be compared quantitatively. We validated HebbPlot in six case studies. The results of these case studies are novel or validating results already reported in the literature, indicating the accuracy of HebbPlot. Our results indicate that promoters have a directional chromatin signature; several marks tend to stretch downstream or upstream. H3K4me3 and H3K79me2 have clear directional distributions around active promoters. In addition, the signatures of high- and low-CpG promoters are different; H3K4me3, H3K9ac, and H3K27ac are the most different marks. When we studied the signatures of enhancers active in eight tissues, we observed that these signatures are similar, but not identical. Further, we identified some histone modifications - H3K36me3, H3K79me1, H3K79me2, and H4K8ac - that are associated with coding regions of active genes. Other marks - H4K12ac, H3K14ac, H3K27me3, and H2AK5ac - were found to be weakly associated with coding regions of inactive genes.

CONCLUSIONS

This study resulted in a novel software tool, HebbPlot, for learning and visualizing the chromatin signature of a genetic element. Using HebbPlot, we produced a visual catalog of the signatures of multiple genetic elements in 57 cell types available through the Roadmap Epigenomics Project. Furthermore, we made a progress toward a functional catalog consisting of 22 histone marks. In sum, HebbPlot is applicable to a wide array of studies, facilitating the deciphering of the histone code.

Regulatory mechanisms of long noncoding RNAs on gene expression in cancers

Long non-coding RNAs (lncRNAs) are a heterogeneous class of RNAs that are non-protein coding transcripts longer than 200 nucleotides. In this review, we introduce the mechanisms by which lncRNAs regulate gene expression in four parts, epigenetic regulation (genetic imprinting and chromatin remodeling), transcriptional regulation (molecular decoy), post-transcriptional regulation (splicing and mRNA decay), and translational regulation. H19, Xist, and others are involved in genomic imprinting. HOTAIR and ANRIL function in chromatin remodeling. GAS5 is degraded through an RNA decay pathway. NEAT1 and MALAT1 function not only in the regulation of transcription but also in splicing.

Divergently expressed gene identification and interaction prediction of long noncoding RNA and mRNA involved in duck reproduction

Long noncoding RNAs (lncRNAs) and divergently expressed genes exist widely in different tissues of mammals and birds, in which they are involved in various biological processes. However, there is limited information on their role in the regulation of normal biological processes during differentiation, development, and reproduction in birds. In this study, whole transcriptome strand-specific RNA sequencing of the ovary from young ducks (60days), first-laying ducks (160days), and old ducks, i.e., ducks that stopped laying eggs (490days) was performed. The lncRNAs and mRNAs from these ducks were systematically analyzed and identified by duck genome sequencing in the three study groups. The transcriptome from the duck ovary comprised 15,011 protein-coding genes and 2905 lncRNAs; all the lncRNAs were identified as novel long noncoding transcripts. The comparison of transcriptome data from different study groups identified 2240 divergent transcription genes and 135 divergently expressed lncRNAs, which differed among the groups; most of them were significantly downregulated with age. Among the divergent genes, 38 genes were related to the reproductive process and 6 genes were upregulated. Further prediction analysis revealed that 52 lncRNAs were closely correlated with divergent reproductive mRNAs. More importantly, 6 remarkable lncRNAs were correlated significantly with the conversion of the ovary in different phases. Our results aid in the understanding of the divergent transcriptome of duck ovary in different phases and the underlying mechanisms that drive the specificity of protein-coding genes and lncRNAs in duck ovary.

Long non-coding RNA RP5-833A20.1 inhibits proliferation, metastasis and cell cycle progression by suppressing the expression of NFIA in U251 cells

Early reports suggest that nuclear factor IA (NFIA) is important in the pathogenesis of glioma. Our previous study demonstrated that the long non‑coding RNA (lncRNA), RP5‑833A20.1, suppressed the expression of NFIA in THP‑1 macrophage-derived foam cells. However, the effect and possible mechanism of RP5‑833A20.1 on glioma remains to be fully elucidated, and whether the NFIA-dependent pathway is involved in its progression has not been investigated. In the present study, the mechanisms by which RP5‑833A20.1 regulates the expression of NFIA in glioma were investigated. The expression levels of RP5‑833A20.1 and NFIA were determined in U251 cells and clinical samples using reverse transcription‑quantitative polymerase chain reaction (PCR) analysis. The effects of RP5‑833A20.1 on cell proliferation, invasion, cell cycle and apoptosis were evaluated using in vitro assays. The potential changes in protein expression were investigated using western blot analysis. The methylation status of the CpG island in the NFIA promoter was determined using bisulfite PCR (BSP) sequencing. It was found that the expression of RP5‑833A20.1 was downregulated, whereas the expression of NFIA was upregulated in glioma tissues, compared with corresponding adjacent nontumor tissues from 20 patients with glioma. The overexpression of RP5‑833A20.1 inhibited proliferation and cell cycle progression, and induced apoptosis in the U251 cells. The mRNA and protein levels of NFIA were markedly inhibited by overexpression of RP5‑833A20.1 in the U251 cells. The overexpression of RP5‑833A20.1 increased the expression of microRNA‑382‑5p in the U251 cells. The BSP assay revealed that the overexpression of RP5‑833A20.1 enhanced the methylation level of the NFIA promoter. These results demonstrated that RP5‑833A20.1 inhibited tumor cell proliferation, induced apoptosis and inhibited cell‑cycle progression by suppressing the expression of NFIA in U251 cells. Collectively, these results indicated RP5‑833A20.1 as a novel therapeutic target for glioma.

A Tale of Two Cities: How Xist and its partners localize to and silence the bicompartmental X

Sex chromosomal dosage compensation in mammals takes the form of X chromosome inactivation (XCI), driven by the non-coding RNA Xist. In contrast to dosage compensation systems of flies and worms, mammalian XCI has to restrict its function to the Xist-producing X chromosome, while leaving autosomes and active X untouched. The mechanisms behind the long-range yet cis-specific localization and silencing activities of Xist have long been enigmatic, but genomics, proteomics, super-resolution microscopy, and innovative genetic approaches have produced significant new insights in recent years. In this review, I summarize and integrate these findings with a particular focus on the redundant yet mutually reinforcing pathways that enable long-term transcriptional repression throughout the soma. This includes an exploration of concurrent epigenetic changes acting in parallel within two distinct compartments of the inactive X. I also examine how Polycomb repressive complexes 1 and 2 and macroH2A may bridge XCI establishment and maintenance. XCI is a remarkable phenomenon that operates across multiple scales, combining changes in nuclear architecture, chromosome topology, chromatin compaction, and nucleosome/nucleotide-level epigenetic cues. Learning how these pathways act in concert likely holds the answer to the riddle posed by Cattanach's and other autosomal translocations: What makes the X especially receptive to XCI?

Stem Cell Ribonomics: RNA-Binding Proteins and Gene Networks in Stem Cell Differentiation

Stem cells are undifferentiated cells with the ability to self-renew and the potential to differentiate into all body cell types. Stem cells follow a developmental genetic program and are able to respond to alterations in the environment through various signaling pathways. The mechanisms that control these processes involve the activation of transcription followed by a series of post-transcriptional events. These post-transcriptional steps are mediated by the interaction of RNA-binding proteins (RBPs) with defined subpopulations of RNAs creating a regulatory gene network. Characterizing these RNA-protein networks is essential to understanding the regulatory mechanisms underlying the control of stem cell fate. Ribonomics is the combination of classical biochemical purification protocols with the high-throughput identification of transcripts applied to the functional characterization of RNA-protein complexes. Here, we describe the different approaches that can be used in a ribonomic approach and how they have contributed to understanding the function of several RBPs with central roles in stem cell biology.

Upregulation of the long noncoding RNA PCAT-1 correlates with advanced clinical stage and poor prognosis in esophageal squamous carcinoma

Recent studies reveal that long noncoding RNAs (lncRNAs) play critical regulatory roles in cancer biology. Prostate cancer-associated ncRNA transcript 1 (PCAT-1) is one of the lncRNAs involved in cell apoptosis and proliferation of prostate cancer. This study aimed to assess the potential role of PCAT-1 specifically in the pathogenesis of esophageal squamous cell carcinoma (ESCC). Quantitative real-time polymerase chain reaction (qRT-PCR) was used to detect the expression level of PCAT-1 in matched cancerous tissues and adjacent noncancerous tissues from 130 patients with ESCC, 34 patients with non-small cell lung cancer (NSCLC), and 30 patients with gastric carcinoma (GC). The correlation of PCAT-1 with clinicopathological features and prognosis were also analyzed. The expression of PCAT-1 was significantly higher in human ESCC compared with the adjacent noncancerous tissues (70.8%, p < 0.01), and the high level of PCAT-1 expression was significantly correlated with invasion of the tumor (p = 0.024), advanced clinical stage (p = 0.003), lymph node metastasis (p = 0.032), and poor prognosis. However, PCAT-1 mRNA expression had no significant difference between paired primary cancerous tissues and the adjacent noncancerous tissues in 34 cases of NSCLC (p = 0.293) and 30 cases of GC (p = 0.125). High expression of PCAT-1 was specifically correlated with invasion of cancer tissues, metastasis of lymph node, and advanced tumor stage of ESCC. High expression of PCAT-1 might reflect poor prognosis of ESCC and indicate a potential diagnostic target in ESCC patients. Adjuvant therapy targeting PCAT-1 molecule might be effective in treatment of ESCC.

Multiple facets of histone variant H2AX: a DNA double-strand-break marker with several biological functions

In the last decade, many papers highlighted that the histone variant H2AX and its phosphorylation on Ser 139 (γH2AX) cannot be simply considered a specific DNA double-strand-break (DSB) marker with a role restricted to the DNA damage response, but rather as a ‘protagonist’ in different scenarios. This review will present and discuss an up-to-date view regarding the ‘non-canonical’ H2AX roles, focusing in particular on possible functional and structural parts in contexts different from the canonical DNA DSB response. We will present aspects concerning sex chromosome inactivation in male germ cells, X inactivation in female somatic cells and mitosis, but will also focus on the more recent studies regarding embryonic and neural stem cell development, asymmetric sister chromosome segregation in stem cells and cellular senescence maintenance. We will discuss whether in these new contexts there might be a relation with the canonical DNA DSB signalling function that could justify γH2AX formation. The authors will emphasize that, just as H2AX phosphorylation signals chromatin alteration and serves the canonical function of recruiting DSB repair factors, so the modification of H2AX in contexts other than the DNA damage response may contribute towards creating a specific chromatin structure frame allowing ‘non-canonical’ functions to be carried out in different cell types.

Downregulation of a long noncoding RNA-ncRuPAR contributes to tumor inhibition in colorectal cancer

In recent years, the role of long noncoding RNAs (lncRNAs) in cancer is increasingly focused. ncRuPAR is a newly detected lncRNA; in previous study, we found out that ncRuPAR could inhibit tumor progression by downregulating protease-activated receptor-1 (PAR-1), but its role in colorectal cancer (CRC) is never elucidated. Here, we conducted a self-control study which includes 105 CRC samples. By quantitative real time PCR (qRT-PCR) and immunohistochemical staining, we detected the expression of ncRuPAR and PAR-1 as well as their correlation; we further associated these data with the clinicopathologic parameters. A receiver operating characteristic (ROC) curve was constructed to evaluate the diagnostic value of ncRuPAR and PAR-1, respectively. Our results indicated that the expression of ncRuPAR was significantly downregulated in CRC compared with paired adjacent nontumor tissues, but the level of PAR-1 mRNA in cancerous tissues was significantly higher than in adjacent normal areas. The expression of ncRuPAR was significantly correlated with lymph node metastasis, distant metastasis, Duck's stage, differentiation, and TNM stage and was potentially negatively associated with the mRNA levels and EI scores of PAR-1. The area under the ROC curve of ncRuPAR was 0.81 (95% confidence interval (CI): 0.75-0.87); at a cutoff value of 8.34, the ncRuPAR measurement had a sensitivity of 97.14%, a specificity of 65.87%, and an accuracy of 82.86% to predict CRC.

Uncoupling transcription from covalent histone modification

It is widely accepted that transcriptional regulation of eukaryotic genes is intimately coupled to covalent modifications of the underlying chromatin template, and in certain cases the functional consequences of these modifications have been characterized. Here we present evidence that gene activation in the silent heterochromatin of the yeast Saccharomyces cerevisiae can occur in the context of little, if any, covalent histone modification. Using a SIR-regulated heat shock-inducible transgene, hsp82-2001, and a natural drug-inducible subtelomeric gene, YFR057w, as models we demonstrate that substantial transcriptional induction (>200-fold) can occur in the context of restricted histone loss and negligible levels of H3K4 trimethylation, H3K36 trimethylation and H3K79 dimethylation, modifications commonly linked to transcription initiation and elongation. Heterochromatic gene activation can also occur with minimal H3 and H4 lysine acetylation and without replacement of H2A with the transcription-linked variant H2A.Z. Importantly, absence of histone modification does not stem from reduced transcriptional output, since hsp82-ΔTATA, a euchromatic promoter mutant lacking a TATA box and with threefold lower induced transcription than heterochromatic hsp82-2001, is strongly hyperacetylated in response to heat shock. Consistent with negligible H3K79 dimethylation, dot1Δ cells lacking H3K79 methylase activity show unimpeded occupancy of RNA polymerase II within activated heterochromatic promoter and coding regions. Our results indicate that large increases in transcription can be observed in the virtual absence of histone modifications often thought necessary for gene activation.

The proper regulation of gene expression is of fundamental importance in the maintenance of normal growth and development. Misregulation of genes can lead to such outcomes as cancer, diabetes and neurodegenerative disease. A key step in gene regulation occurs during the transcription of the chromosomal DNA into messenger RNA by the enzyme, RNA polymerase II. Histones are small, positively charged proteins that package genomic DNA into arrays of bead-like particles termed nucleosomes, the principal components of chromatin. Increasing evidence suggests that nucleosomal histones play an active role in regulating transcription, and that this is derived in part from reversible chemical (“covalent”) modifications that take place on their amino acids. These histone modifications create novel surfaces on nucleosomes that can serve as docking sites for other proteins that control a gene's expression state. In this study we present evidence that contrary to the general case, covalent modifications typically associated with transcription are minimally used by genes embedded in a specialized, condensed chromatin structure termed heterochromatin in the model organism baker's yeast. Our observations are significant, for they suggest that gene transcription can occur in a living cell in the virtual absence of covalent modification of the chromatin template.

Emerging trends of long non-coding RNAs in gene activation

The RNA world has gained increasing importance in the recent past as its role beyond coding for proteins and components of translational machinery is becoming more and more prominent. Recent studies have shown pervasive transcription throughout the genome generating a large number of non-coding RNAs (ncRNAs) but few of these RNAs have been shown to perform regulatory functions. Among the regulatory RNAs, the long non-coding RNAs (lncRNAs) form an interesting class which, with their ability to bind to a variety of targets, can play pivotal roles in cellular processes including regulation of gene expression. While lncRNAs are well known for their role in repressing gene expression, their role in gene activation is only emerging from recent studies. Here we review how the lncRNAs can mediate gene activation by a variety of mechanisms and explore their importance in biological processes.

Biological implications and regulatory mechanisms of long-range chromosomal interactions

Development of high-throughput sequencing-based methods has enabled us to examine nuclear architecture at unprecedented resolution, allowing further examination of the function of long-range chromosomal interactions. Here, we review methods used to investigate novel long-range chromosomal interactions and genome-wide organization of chromatin. We further discuss transcriptional activation and silencing in relation to organization and positioning of gene loci and regulation of chromatin organization through protein complexes and noncoding RNAs.

Overexpression of long noncoding RNA PCAT-1 is a novel biomarker of poor prognosis in patients with colorectal cancer

Long noncoding RNAs (lncRNA) are emerging as key molecules in human cancer. Prostate cancer-associated ncRNA transcripts 1 (PCAT-1), a lncRNA, has been recently revealed involving in human prostate cancer progression. However, whether PCAT-1 could serve as novel biomarker to predict prognosis in colorectal cancer (CRC) or not is unknown. We therefore carried out the present study to explore the correlation between PCAT-1 expression and the progression of CRC. In this study, the expression of PCAT-1 in 108 cases of CRC tissues and matched 81 adjacent normal tissues were determined by quantitative real-time PCR. Furthermore, the copy number variation of PCAT-1 was also measured in 17 tumor tissues and matched normal tissues. Our results showed that PCAT-1 expression in CRC tissues was significantly upregulated compared with the matched normal tissues (p < 0.001) and the overexpression of PCAT-1(upregulated by more than 50 %) was found in 64 % (62/81) of CRC. Moreover, PCAT-1 gene copy number variation explains only a few percent of observed overexpression. In addition, there was a significant association between PCAT-1 expression and distant metastasis (p = 0.04), but not other clinical characteristics. More important, CRC patients with PCAT-1 higher expression have shown significantly poorer overall survival than those with lower PCAT-1 expression (p < 0.001). Also, multivariable Cox regression analysis identified PCAT-1 overexpression as an independent prognostic factor for CRC (p = 0.007, HR = 3.12 95 %CI = 1.355-7.185). In conclusion, our results suggest that high expression of PCAT-1 is involved in CRC progression and could be a novel biomarker of poor prognosis in patient with colorectal cancer.

Long noncoding RNA MALAT1 controls cell cycle progression by regulating the expression of oncogenic transcription factor B-MYB

The long noncoding MALAT1 RNA is upregulated in cancer tissues and its elevated expression is associated with hyper-proliferation, but the underlying mechanism is poorly understood. We demonstrate that MALAT1 levels are regulated during normal cell cycle progression. Genome-wide transcriptome analyses in normal human diploid fibroblasts reveal that MALAT1 modulates the expression of cell cycle genes and is required for G1/S and mitotic progression. Depletion of MALAT1 leads to activation of p53 and its target genes. The cell cycle defects observed in MALAT1-depleted cells are sensitive to p53 levels, indicating that p53 is a major downstream mediator of MALAT1 activity. Furthermore, MALAT1-depleted cells display reduced expression of B-MYB (Mybl2), an oncogenic transcription factor involved in G2/M progression, due to altered binding of splicing factors on B-MYB pre-mRNA and aberrant alternative splicing. In human cells, MALAT1 promotes cellular proliferation by modulating the expression and/or pre-mRNA processing of cell cycle–regulated transcription factors. These findings provide mechanistic insights on the role of MALAT1 in regulating cellular proliferation.

The mammalian genome encodes large number of long non protein-coding RNAs (lncRNAs). These lncRNAs are suggested to regulate key biological processes (including cellular proliferation and differentiation), and aberrant expression of these is associated with cancer. However, only a few of these lncRNAs have been functionally validated in biological or disease processes. MALAT1, an abundant nuclear-retained lncRNA, is overexpressed in several cancers, and its elevated expression has been associated with hyper-proliferation and metastasis. However, the underlying mechanism behind this deregulation and its association with cancer is poorly understood. Here, we establish the role of MALAT1 in the cell cycle pathway and propose the molecular mechanism of its function during normal cell cycle progression. MALAT1 RNA levels are differentially regulated and critical for normal cell cycle progression. Depletion of MALAT1 results in cell cycle arrest with significantly reduced cellular proliferation, simultaneously leading to activation of p53 and its target genes. Further, the accurate levels of MALAT1 in the cell are extremely crucial for expression and activity of the oncogenic transcription factor B-MYB, which is involved in G2/M progression. Our data indicates that the cancer-associated MALAT1 RNA regulates cellular proliferation by modulating the expression and/or pre-mRNA processing of cell cycle–regulated transcription factors.

Activating RNAs associate with Mediator to enhance chromatin architecture and transcription

Recent advances in genomic research have revealed the existence of a large number of transcripts devoid of protein-coding potential in multiple organisms. Although the functional role for long non-coding RNAs (lncRNAs) has been best defined in epigenetic phenomena such as X-chromosome inactivation and imprinting, different classes of lncRNAs may have varied biological functions. We and others have identified a class of lncRNAs, termed ncRNA-activating (ncRNA-a), that function to activate their neighbouring genes using a cis-mediated mechanism. To define the precise mode by which such enhancer-like RNAs function, we depleted factors with known roles in transcriptional activation and assessed their role in RNA-dependent activation. Here we report that depletion of the components of the co-activator complex, Mediator, specifically and potently diminished the ncRNA-induced activation of transcription in a heterologous reporter assay using human HEK293 cells. In vivo, Mediator is recruited to ncRNA-a target genes and regulates their expression. We show that ncRNA-a interact with Mediator to regulate its chromatin localization and kinase activity towards histone H3 serine 10. The Mediator complex harbouring disease- displays diminished ability to associate with activating ncRNAs. Chromosome conformation capture confirmed the presence of DNA looping between the ncRNA-a loci and its targets. Importantly, depletion of Mediator subunits or ncRNA-a reduced the chromatin looping between the two loci. Our results identify the human Mediator complex as the transducer of activating ncRNAs and highlight the importance of Mediator and activating ncRNA association in human disease.

Molecular mechanisms and function prediction of long noncoding RNA

The central dogma of gene expression considers RNA as the carrier of genetic information from DNA to protein. However, it has become more and more clear that RNA plays more important roles than simply being the information carrier. Recently, whole genome transcriptomic analyses have identified large numbers of dynamically expressed long noncoding RNAs (lncRNAs), many of which are involved in a variety of biological functions. Even so, the functions and molecular mechanisms of most lncRNAs still remain elusive. Therefore, it is necessary to develop computational methods to predict the function of lncRNAs in order to accelerate the study of lncRNAs. Here, we review the recent progress in the identification of lncRNAs, the molecular functions and mechanisms of lncRNAs, and the computational methods for predicting the function of lncRNAs.

Computational prediction of polycomb-associated long non-coding RNAs

Among thousands of long non-coding RNAs (lncRNAs) only a small subset is functionally characterized and the functional annotation of lncRNAs on the genomic scale remains inadequate. In this study we computationally characterized two functionally different parts of human lncRNAs transcriptome based on their ability to bind the polycomb repressive complex, PRC2. This classification is enabled by the fact that while all lncRNAs constitute a diverse set of sequences, the classes of PRC2-binding and PRC2 non-binding lncRNAs possess characteristic combinations of sequence-structure patterns and, therefore, can be separated within the feature space. Based on the specific combination of features, we built several machine-learning classifiers and identified the SVM-based classifier as the best performing. We further showed that the SVM-based classifier is able to generalize on the independent data sets. We observed that this classifier, trained on the human lncRNAs, can predict up to 59.4% of PRC2-binding lncRNAs in mice. This suggests that, despite the low degree of sequence conservation, many lncRNAs play functionally conserved biological roles.

The RNA worlds in context

There are two RNA worlds. The first is the primordial RNA world, a hypothetical era when RNA served as both information and function, both genotype and phenotype. The second RNA world is that of today's biological systems, where RNA plays active roles in catalyzing biochemical reactions, in translating mRNA into proteins, in regulating gene expression, and in the constant battle between infectious agents trying to subvert host defense systems and host cells protecting themselves from infection. This second RNA world is not at all hypothetical, and although we do not have all the answers about how it works, we have the tools to continue our interrogation of this world and refine our understanding. The fun comes when we try to use our secure knowledge of the modern RNA world to infer what the primordial RNA world might have looked like.

The distribution of a germline methylation marker suggests a regional mechanism of LINE-1 silencing by the piRNA-PIWI system

Background

A defense system against transposon activity in the human germline based on PIWI proteins and piRNA has recently been discovered. It represses the activity of LINE-1 elements via DNA methylation by a largely unknown mechanism. Based on the dispersed distribution of clusters of piRNA genes in a strand-specific manner on all human chromosomes, we hypothesized that this system might work preferentially on local and proximal sequences. We tested this hypothesis with a methylation-associated SNP (mSNP) marker which is based on the density of C-T transitions in CpG dinucleotides as a surrogate marker for germline methylation.

Results

We found significantly higher density of mSNPs flanking piRNA clusters in the human genome for flank sizes of 1-16 Mb. A dose-response relationship between number of piRNA genes and mSNP density was found for up to 16 Mb of flanking sequences. The chromosomal density of hypermethylated LINE-1 elements had a significant positive correlation with the chromosomal density of piRNA genes (r = 0.41, P = 0.05). Genome windows of 1-16 Mb containing piRNA clusters had significantly more hypermethylated LINE-1 elements than windows not containing piRNA clusters. Finally, the minimum distance to the next piRNA cluster was significantly shorter for hypermethylated LINE-1 compared to normally methylated elements (14.4 Mb vs 16.1 Mb).

Conclusions

Our observations support our hypothesis that the piRNA-PIWI system preferentially methylates sequences in close proximity to the piRNA clusters and perhaps physically adjacent sequences on other chromosomes. Furthermore they suggest that this proximity effect extends up to 16 Mb. This could be due to an unknown localization signal, transcription of piRNA genes near the nuclear membrane or the presence of an unknown RNA molecule that spreads across the chromosome and targets the methylation directed by the piRNA-PIWI complex. Our data suggest a region specific molecular mechanism which can be sought experimentally.

Transcription control by long non-coding RNAs

Non-coding RNAs have been found to regulate many cellular processes and thus expand the functional genetic repertoire contained within the genome. With the recent advent of genomic tools, it is now evident that these RNA molecules play central regulatory roles in many transcriptional programs. Here we discuss how they are targeted to promoters in several cases and how they operate at specific points in the transcription cycle to precisely control gene expression.

Protein localization with flexible DNA or RNA

Localization of activity is ubiquitous in life, and also within sub-cellular compartments. Localization provides potential advantages as different proteins involved in the same cellular process may supplement each other on a fast timescale. It might also prevent proteins from being active in other regions of the cell. However localization is at odds with the spreading of unbound molecules by diffusion. We model the cost and gain for specific enzyme activity using localization strategies based on binding to sites of intermediate specificity. While such bindings in themselves decrease the activity of the protein on its target site, they may increase protein activity if stochastic motion allows the acting protein to touch both the intermediate binding site and the specific site simultaneously. We discuss this strategy in view of recent suggestions on long non-coding RNA as a facilitator of localized activity of chromatin modifiers.

Long noncoding RNA: unveiling hidden layer of gene regulatory networks

Long noncoding RNAs (lncRNAs) are increasingly recognized as functional regulatory components in eukaryotic gene regulation. Distinct classes of lncRNAs have been identified in eukaryotes and they play roles in various regulatory networks. Previously characterized lncRNAs include primary transcripts for small regulatory RNAs. In the era of deep sequencing, new classes of lncRNAs have emerged as potent regulatory components in gene regulation. Recent studies showed that many lncRNAs are potent cis- and trans-regulators of gene activity and they can function as scaffolds for chromatin-modifying complexes. Furthermore, differential expressions of lncRNAs suggest that transcription of lncRNAs can modulate gene activity during development and in response to external stimuli. Here, we summarize our current understanding on potential roles of lncRNAs in plants.

Active chromatin and noncoding RNAs: an intimate relationship

Eukaryotic genomes are packaged into chromatin, where diverse histone modifications can demarcate chromatin domains that facilitate or block gene expression. While silent chromatin has been associated with long noncoding RNAs (lncRNAs) for some time, new studies suggest that noncoding RNAs also modulate the active chromatin state. Divergent, antisense, and enhancer-like intergenic noncoding RNAs can either activate or repress gene expression by altering histone H3 lysine 4 methylation. An emerging class of enhancer-like lncRNAs may link chromosome structure to chromatin state and establish active chromatin domains. The confluence of several new technologies promises to rapidly expand this fascinating topic of investigation.

Non-coding telomeric and subtelomeric transcripts are differentially regulated by telomeric and heterochromatin assembly factors in fission yeast

While telomere repeat-containing non-coding RNA has been identified in a variety of eukaryotes, its biological role is not yet clear. We have identified telomeric transcripts in fission yeast, a model system that combines precise genetic manipulability with telomeres remarkably similar to those of human. Like human and budding yeast, fission yeast harbours a population of telomeric RNA molecules containing G-rich telomeric repeats transcribed from the subtelomere to the telomere. In addition, we detect substantial levels of C-rich telomeric RNA whose appearance is independent of the RNA-dependent RNA polymerase, suggesting that the telomere repeats themselves serve as promoter sites; multiple distinct subtelomeric RNAs are also present. The regulation of these transcripts depends on the telomere-associated proteins Taz1 and Rap1, as deletion of taz1⁺ or rap1⁺ leads to increased levels of both telomere repeat-containing and subtelomeric transcripts. In contrast, loss of the heterochromatin proteins Swi6 or Clr4 or the telomerase regulator Rif1 results in elevated subtelomeric RNA levels while telomere-repeat containing transcript levels remain repressed. Coupled with the large body of knowledge surrounding the functions of telomeric and heterochromatin factors in fission yeast, these in vivo analyses suggest testable models for the roles of TERRA in telomere function.

Shaping the Genome with Non-Coding RNAs

The human genome must be tightly packaged in order to fit inside the nucleus of a cell. Genome organization is functional rather than random, which allows for the proper execution of gene expression programs and other biological processes. Recently, three-dimensional chromatin organization has emerged as an important transcriptional control mechanism. For example, enhancers were shown to regulate target genes by physically interacting with them regardless of their linear distance and even if located on different chromosomes. These chromatin contacts can be measured with the "chromosome conformation capture" (3C) technology and other 3C-related techniques. Given the recent innovation of 3C-derived approaches, it is not surprising that we still know very little about the structure of our genome at high-resolution. Even less well understood is whether there exist distinct types of chromatin contacts and importantly, what regulates them. A new form of regulation involving the expression of long non-coding RNAs (lncRNAs) was recently identified. lncRNAs are a very abundant class of non-coding RNAs that are often expressed in a tissue-specific manner. Although their different subcellular localizations point to their involvement in numerous cellular processes, it is clear that lncRNAs play an important role in regulating gene expression. How they control transcription however is mostly unknown. In this review, we provide an overview of known lncRNA transcription regulation activities. We also discuss potential mechanisms by which ncRNAs might exert three-dimensional transcriptional control and what recent studies have revealed about their role in shaping our genome.

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.

RNA splicing control: yet another gene regulatory role for long nuclear noncoding RNAs

The mammalian genome harbors a large number of long non-coding RNAs (lncRNAs) that do not code for proteins, but rather they exert their function directly as RNA molecules. LncRNAs are involved in executing several vital cellular functions. They facilitate the recruitment of proteins to specific chromatin sites, ultimately regulating processes like dosage compensation and genome imprinting. LncRNAs are also known to regulate nucleocytoplasmic transport of macromolecules. A large number of the regulatory lncRNAs are retained within the cell nucleus and constitute a subclass termed nuclear-retained RNAs (nrRNAs). NrRNAs are speculated to be involved in crucial gene regulatory networks, acting as structural scaffolds of subnuclear domains. NrRNAs modulate gene expression by influencing chromatin modification, transcription and post-transcriptional gene processing. The cancer-associated Metastasis-associated lung adenocarcinoma transcript1 (MALAT1) is one such long nrRNA that regulates pre-mRNA processing in mammalian cells. Thus far, our understanding about the roles played by nrRNAs and their relevance in disease pathways is only 'a tip of an iceberg'. It will therefore be crucial to unravel the functions for the vast number of long nrRNAs, buried within the complex mine of the human genome.

YY1 tethers Xist RNA to the inactive X nucleation center

The long noncoding Xist RNA inactivates one X chromosome in the female mammal. Current models posit that Xist induces silencing as it spreads along X and recruits Polycomb complexes. However, the mechanisms for Xist loading and spreading are currently unknown. Here, we define the nucleation center for Xist RNA and show that YY1 docks Xist particles onto the X chromosome. YY1 is a "bivalent" protein, capable of binding both RNA and DNA through different sequence motifs. Xist's exclusive attachment to the inactive X is determined by an epigenetically regulated trio of YY1 sites as well as allelic origin. Specific YY1-to-RNA and YY1-to-DNA contacts are required to load Xist particles onto X. YY1 interacts with Xist RNA through Repeat C. We propose that YY1 acts as adaptor between regulatory RNA and chromatin targets.

Introduction--Epiphanies in epigenetics

The combinatorial pattern of DNA and histone modifications and their associated histone variants constitute an epigenetic code that shapes gene expression patterns by increasing or decreasing the transcriptional potential of genomic domains. The epigenetic coding status, at any given chromosomal location, is subject to modulation by noncoding RNAs and remodeling complexes. DNA methylation is associated with histone modifications, particularly the absence of histone H3 lysine 4 methylation (H3K4me0) and the presence of histone H3 lysine 9 methylation (H3K9m). We briefly discuss four protein domains (ADD, CXXC, MBD, and SRA), and the functional implications of their architecture in linking histone methylation to that of DNA in mammalian cells. We also consider the domain structure of the DNA methyltransferase DNMT1, its accessory protein UHRF1, and their associated proteins. Finally, we discuss a mechanism by which methylation of DNA and of histones may be coordinately maintained during mitotic cell division, allowing for the transmission of parental methylation patterns to newly replicated chromatin.