Shaping the Genome with Non-Coding RNAs

The potential role of eyestalk in the immunity of Litopenaeus vannamei to Vibrio parahaemolyticus infection II. From the perspective of long non-coding RNA

Long non-coding RNAs (lncRNAs) have been linked to immunological modulation. Unfortunately, little is known about the processes of immune control in shrimp. In crustaceans such as Litopenaeus vannamei, a prominent aquaculture species, the X-organ-sinus gland complex (XO-SG) in the eyestalk is an essential neuroendocrine regulatory organ. Eyestalk ablation is commonly employed in aquaculture to accelerate ovarian maturation in shrimp. It does, however, have a negative impact on the shrimps' immunocompetence and causes death. As a result, we used RNA-seq to profile the transcriptomes of L. vannamei hemocytes infected with Vibrio parahaemolyticus after the eyestalk ablation. Following strict transcript screening procedures, 2307 lncRNAs were identified from L. vannamei hemocytes in this study. Pearson correlation analysis was finally used to uncover 535 DElncRNAs and 1566 DEmRNA targets. According to the Venn diagram analysis, 326 non-eyestalk regulatory lncRNAs (NElncRNAs) with a target of 1014 non-eyestalk regulatory genes (NEmRNAs), 47 eyestalk negative regulatory lncRNAs (ENRlncRNAs) with a target of 95 eyestalk negative regulatory genes (ENRmRNAs), and 162 eyestalk positive regulatory lncRNAs (EPRlncRNAs) with a target of 457 eyestalk positive regulatory genes (EPRmRNAs) were screened. The bioinformatics analysis revealed that lncRNAs were associated with Axon regeneration, Rap1 signaling pathway, Thyroid hormone signaling pathway, TGF-beta signaling pathway, and PI3K-Akt signaling pathway, implying that lncRNAs may play a role in the regulation of the neuroendocrine-immune (NEI) system. Furthermore, several lncRNAs targeting HSP70, YWHAZ, FER2, HIF1α, and Notch were discovered and verified by qRT-PCR. These findings showed that regulation of lncRNAs in hemocytes which were controlled by the eyestalk might be one of the impact variables in controlling the differential expression of mRNAs associated with immune response in L. vannamei infected with V. parahaemolyticus.

Long noncoding RNAs transcribed downstream of the human β-globin locus regulate β-globin gene expression

The five β-like globin genes (ε, Gγ, Aγ, δ, and β) at the human β-globin gene locus are known to be expressed at specific developmental stages, although details of the underlying mechanism remain to be uncovered. Here we used an in vitro transcription assay to clarify the mechanisms that control this gene expression. We first tested nuclear RNA from HeLa cells using RT-qPCR and discovered a long noncoding RNAs (lncRNAs) within a 5.2-kb region beginning 4.4 kb downstream of the β-globin gene coding region. We investigated nuclear RNA from K562 cells using a primer-extension assay and determined the transcription start sites (TSSs) of these lncRNAs. To clarify their functional role, we performed knockdown (KD) of these lncRNAs in K562 cells. Hydroxyurea, which induces differentiation of K562 cells, increased hemoglobin peptide production, and the effect was enhanced by KD of these lncRNAs, which also enhanced upregulation of the γ-globin expression induced by hydroxyurea. To confirm these results, we performed an in vitro transcription assay. Noncoding single-stranded RNAs inhibited β-globin expression, which was upregulated by GATA1. Furthermore, lncRNAs interacted with GATA1 without sequence specificity and inhibited its binding to its target DNA response element in vitro. Our results suggest that lncRNAs downstream of the β-globin gene locus are key factors regulating globin gene ex pression.

An immunotherapeutic approach to decipher the role of long non-coding RNAs in cancer progression, resistance and epigenetic regulation of immune cells

Immunotherapeutic treatments are gaining attention due to their effective anti-tumor response. Particularly, the revolution of immune checkpoint inhibitors (ICIs) produces promising outcomes for various cancer types. However, the usage of immunotherapy is limited due to its low response rate, suggesting that tumor cells escape the immune surveillance. Rapid advances in transcriptomic profiling have led to recognize immune-related long non-coding RNAs (LncRNAs), as regulators of immune cell-specific gene expression that mediates immune stimulatory as well as suppression of immune response, indicating LncRNAs as targets to improve the efficacy of immunotherapy against tumours. Moreover, the immune-related LncRNAs acting as epigenetic modifiers are also under deep investigation. Thus, herein, is a summarised knowledge of LncRNAs and their regulation in the adaptive and innate immune system, considering their importance in autophagy and predicting putative immunotherapeutic responses.

Regulatory Potential of Competing Endogenous RNAs in Myotonic Dystrophies

Non-coding RNAs (ncRNAs) have been reported to be implicated in cell fate determination and various human diseases. All ncRNA molecules are emerging as key regulators of diverse cellular processes; however, little is known about the regulatory interaction among these various classes of RNAs. It has been proposed that the large-scale regulatory network across the whole transcriptome is mediated by competing endogenous RNA (ceRNA) activity attributed to both protein-coding and ncRNAs. ceRNAs are considered to be natural sponges of miRNAs that can influence the expression and availability of multiple miRNAs and, consequently, the global mRNA and protein levels. In this review, we summarize the current understanding of the role of ncRNAs in two neuromuscular diseases, myotonic dystrophy type 1 and 2 (DM1 and DM2), and the involvement of expanded CUG and CCUG repeat-containing transcripts in miRNA-mediated RNA crosstalk. More specifically, we discuss the possibility that long repeat tracts present in mutant transcripts can be potent miRNA sponges and may affect ceRNA crosstalk in these diseases. Moreover, we highlight practical information related to innovative disease modelling and studying RNA regulatory networks in cells. Extending knowledge of gene regulation by ncRNAs, and of complex regulatory ceRNA networks in DM1 and DM2, will help to address many questions pertinent to pathogenesis and treatment of these disorders; it may also help to better understand general rules of gene expression and to discover new rules of gene control.

Epigenetic Regulation of Alternative Splicing: How LncRNAs Tailor the Message

Alternative splicing is a highly fine-tuned regulated process and one of the main drivers of proteomic diversity across eukaryotes. The vast majority of human multi-exon genes is alternatively spliced in a cell type- and tissue-specific manner, and defects in alternative splicing can dramatically alter RNA and protein functions and lead to disease. The eukaryotic genome is also intensively transcribed into long and short non-coding RNAs which account for up to 90% of the entire transcriptome. Over the years, lncRNAs have received considerable attention as important players in the regulation of cellular processes including alternative splicing. In this review, we focus on recent discoveries that show how lncRNAs contribute significantly to the regulation of alternative splicing and explore how they are able to shape the expression of a diverse set of splice isoforms through several mechanisms. With the increasing number of lncRNAs being discovered and characterized, the contribution of lncRNAs to the regulation of alternative splicing is likely to grow significantly.

Long noncoding RNA LINC00467 facilitates the progression of acute myeloid leukemia by targeting the miR-339/SKI pathway

A growing body of evidence indicates that long non-coding RNA (lncRNA) is involved in the development and progression of many diseases. It has been reported that lncRNA LINC00467 is disregulated in multiple tumors, while its role in acute myeloid leukemia (AML) is still unknown. Here, we find that LINC00467 expression is significantly increased in AML specimens and cell lines. Further investigations show that knockdown of LINC00467 inhibits the malignant phenotypes of AML cells. Consistently, LINC00467 knockdown slows AML progression in immunodeficient mice. Interestingly, microRNA-339 (miR-339) is upregulated and its target gene SKI, an oncogene, is downregulated in AML cells after LINC00467 knockdown. More importantly, inhibition of miR-339 can largely abolish the effect of LINC00467 knockdown on AML cells. Collectively, our data demonstrate that LINC00467 plays an important role in the pathogenesis of AML by targeting the miR-339/SKI pathway, which provides a new sight for the subsequent treatment of AML.

Identification of small RNAs during cold acclimation in Arabidopsis thaliana

BACKGROUND

Cold stress causes dynamic changes in gene expression that are partially caused by small non-coding RNAs since they regulate protein coding transcripts and act in epigenetic gene silencing pathways. Thus, a detailed analysis of transcriptional changes of small RNAs (sRNAs) belonging to all known sRNA classes such as microRNAs (miRNA) and small interfering RNA (siRNAs) in response to cold contributes to an understanding of cold-related transcriptome changes.

RESULT

We subjected A. thaliana plants to cold acclimation conditions (4 °C) and analyzed the sRNA transcriptomes after 3 h, 6 h and 2 d. We found 93 cold responsive differentially expressed miRNAs and only 14 of these were previously shown to be cold responsive. We performed miRNA target prediction for all differentially expressed miRNAs and a GO analysis revealed the overrepresentation of miRNA-targeted transcripts that code for proteins acting in transcriptional regulation. We also identified a large number of differentially expressed cis- and trans-nat-siRNAs, as well as sRNAs that are derived from long non-coding RNAs. By combining the results of sRNA and mRNA profiling with miRNA target predictions and publicly available information on transcription factors, we reconstructed a cold-specific, miRNA and transcription factor dependent gene regulatory network. We verified the validity of links in the network by testing its ability to predict target gene expression under cold acclimation.

CONCLUSION

In A. thaliana, miRNAs and sRNAs derived from cis- and trans-NAT gene pairs and sRNAs derived from lncRNAs play an important role in regulating gene expression in cold acclimation conditions. This study provides a fundamental database to deepen our knowledge and understanding of regulatory networks in cold acclimation.

Stress-induced lncRNA LASTR fosters cancer cell fitness by regulating the activity of the U4/U6 recycling factor SART3

Dysregulated splicing is a common event in cancer even in the absence of mutations in the core splicing machinery. The aberrant long non-coding transcriptome constitutes an uncharacterized level of regulation of post-transcriptional events in cancer. Here, we found that the stress-induced long non-coding RNA (lncRNA), LINC02657 or LASTR (lncRNA associated with SART3 regulation of splicing), is upregulated in hypoxic breast cancer and is essential for the growth of LASTR-positive triple-negative breast tumors. LASTR is upregulated in several types of epithelial cancers due to the activation of the stress-induced JNK/c-JUN pathway. Using a mass-spectrometry based approach, we identified the RNA-splicing factor SART3 as a LASTR-interacting partner. We found that LASTR promotes splicing efficiency by controlling SART3 association with the U4 and U6 small nuclear ribonucleoproteins (snRNP) during spliceosome recycling. Intron retention induced by LASTR depletion downregulates expression of essential genes, ultimately decreasing the fitness of cancer cells.

LncMSEN1, a mantle-specific LncRNA participating in nacre formation and response to polyI:C stimulation in pearl oyster Pinctada fucata martensii

Long noncoding RNA (LncRNA) regulates various life processes, including biomineralization and innate immune response through complex mechanisms. In this research, we identified a LncRNA named LncMSEN1 from pearl oyster Pinctada fucata martensii. LncMSEN1 sequence was validated by PCR, and its expression was high in mantle tissues according to qRT-PCR. LncMSEN1 was co-located with the nacre matrix protein N-U8 and fibrinogen domain-containing protein. And LncMSEN1 and N-U8 expression levels in the mantle were positively correlated. RNA interference was used to detect its effect on nacre formation in shells. Results showed that the decreased LncMSEN1 expression in mantle can cause the disordered growth of crystals on the inner surface of nacre in the shells, as well as the decrease expression of N-U8. In addition, the LncMSEN1 expression level significantly increased at 24 h after polyI:C stimulation in the mantle (P < 0.05). These findings suggested the involvement of LncMSEN1 in the formation of nacre in shells and related to innate immune response in pearl oyster, which provided additional insights into the roles of LncRNAs in pearl oysters.

Comparing biological information contained in mRNA and non-coding RNAs for classification of lung cancer patients

BACKGROUND

Deciphering the meaning of the human DNA is an outstanding goal which would revolutionize medicine and our way for treating diseases. In recent years, non-coding RNAs have attracted much attention and shown to be functional in part. Yet the importance of these RNAs especially for higher biological functions remains under investigation.

METHODS

In this paper, we analyze RNA-seq data, including non-coding and protein coding RNAs, from lung adenocarcinoma patients, a histologic subtype of non-small-cell lung cancer, with deep learning neural networks and other state-of-the-art classification methods. The purpose of our paper is three-fold. First, we compare the classification performance of different versions of deep belief networks with SVMs, decision trees and random forests. Second, we compare the classification capabilities of protein coding and non-coding RNAs. Third, we study the influence of feature selection on the classification performance.

RESULTS

As a result, we find that deep belief networks perform at least competitively to other state-of-the-art classifiers. Second, data from non-coding RNAs perform better than coding RNAs across a number of different classification methods. This demonstrates the equivalence of predictive information as captured by non-coding RNAs compared to protein coding RNAs, conventionally used in computational diagnostics tasks. Third, we find that feature selection has in general a negative effect on the classification performance which means that unfiltered data with all features give the best classification results.

CONCLUSIONS

Our study is the first to use ncRNAs beyond miRNAs for the computational classification of cancer and for performing a direct comparison of the classification capabilities of protein coding RNAs and non-coding RNAs.

Long noncoding RNAs in neurodevelopment and Parkinson's disease

Long noncoding RNAs (lncRNAs) are RNA molecules comprising more than 200 nucleotides, which are not translated into proteins. Many studies have shown that lncRNAs are involved in regulating a variety of biological processes, including immune, cancer, stress, development and differentiation at the transcriptional, epigenetic or post-transcriptional levels. Here, we review the role of lncRNAs in the process of neurodevelopment, neural differentiation, synaptic function, and pathogenesis of Parkinson's disease (PD). These pathomechanisms include protein misfolding and aggregation, disordered protein degradation, mitochondrial dysfunction, oxidative stress, autophagy, apoptosis, and neuroinflammation. This information will provide the basis of lncRNA-based disease diagnosis and drug treatment for PD.

Long Noncoding Ribonucleic Acid SNHG18 Promotes Glioma Cell Motility via Disruption of α-Enolase Nucleocytoplasmic Transport

Glioma is a common malignancy with poor prognosis. Recent evidence suggests that the pathogenesis and progression of glioma involve long noncoding RNAs (lncRNAs). Previously, we showed that glioma cell radioresistance was enhanced by lncRNA SNHG18 in vitro and in vivo. In the present study, we showed that SNHG18 promoted the invasion and migration of glioma cells. SNHG18 was demonstrated to regulate the progression of epithelial-mesenchymal transition and cytoskeleton remodeling, thereby affecting cell motility. Furthermore, the promotion of invasion evoked by SNHG18 overexpression could be rescued by α-enolase (ENO1) deletion. Moreover, rather than altering ENO1 expression, SNHG18 suppressed its nucleocytoplasmic transport by directly combining with ENO1 in glioma cells. The results suggested that SNHG18 inhibited the nucleocytoplasmic transport of ENO1 to promote cell motility. The results reveal the mechanism by which this lncRNA affects tumorigenesis and metastasis, forming the basis for further research that will lead to novel strategies to treat glioma.

Long Noncoding RNA (lncRNA) Small Nucleolar RNA Host Gene 16 (SNHG16) Predicts Poor Prognosis and Sorafenib Resistance in Hepatocellular Carcinoma

Background

Long noncoding RNAs (lncRNAs) play important roles in cancer development and therapeutic resistance. However, the role of small nucleolar RNA host gene 16 (SNHG16) in the development of hepatocellular carcinoma (HCC) remains largely unknown.

Material/Methods

In situ hybridization (ISH) staining was performed to detect the expression level of SNHG16 in HCC tissues and adjacent non-cancerous tissues. Quantitative real-time polymerase chain reaction (qRT-PCR) was used to detect the level of SNHG16 in HCC samples, adjacent non-cancerous tissues and HCC cell lines. Transwell assay was performed to investigate the migration and invasion ability of HCC cells. Cell viability assays were performed to determine the ability of proliferation and sorafenib resistance of HCC cells.

Results

We found that SNHG16 was upregulated in HCC tissues and cell lines and that it was negatively correlated with survival time in HCC patients. Univariate and multivariate analyses revealed that SNHG16 was a significant and independent predictor for the overall survival of HCC patients. Furthermore, downregulation of SNHG16 inhibited proliferation, migration, invasion, and sorafenib resistance in hepatocellular carcinoma cell lines.

Conclusions

Our findings revealed that lncRNA SNHG16 could be used as an oncogene to predict the outcome of hepatocellular carcinoma.

Reciprocal regulation of chromatin state and architecture by HOTAIRM1 contributes to temporal collinear HOXA gene activation

Thousands of long non-coding RNAs (lncRNAs) have been identified in mammals, many of which represent important regulators of gene expression. However, the mechanisms used by lncRNAs to control transcription remain largely uncharacterized. Here, we report on HOTAIRM1, a promising lncRNA biomarker in leukemia and solid tumors. We find that HOTAIRM1 contributes to three-dimensional chromatin organization changes required for the temporal collinear activation of HOXA genes. We show that distinct HOTAIRM1 variants preferentially associate with either UTX/MLL or PRC2 complexes to modulate the levels of activating and silencing marks at the bivalent domain. HOTAIRM1 contributes to physical dissociation of chromatin loops at the cluster proximal end, which delays recruitment of the histone demethylase UTX and transcription of central HOXA genes. Interestingly, we find overall proximal HOXA gene activation without chromatin conformation changes by HOTAIRM1 in a different cell type. Our results reveal a previously unappreciated relationship between chromatin structure, architecture and lncRNA function.

Chromosome folding and its regulation in health and disease

There are many ways in which cells may not adequately behave or respond to their environment, and the molecular mechanisms leading to these defects are as diverse as they are many. In this review, we report on how spatial chromatin organization contributes to the proper expression of genes, relating how CTCF-one of its main architects-contributes to gene regulation. We also touch on the emerging role of long noncoding RNAs in shaping chromatin organization and activity. The HOX gene clusters have been used as paradigm in the study of various biological pathways, and the overview we provide gives emphasis to what research on these loci has revealed about chromatin architecture and its regulation in the control of gene expression.

LncRNAs: emerging players in gene regulation and disease pathogenesis

The advent of next-generation sequencing has demonstrated that eukaryotic genomes are extremely complex than what were previously thought. Recent studies revealed that in addition to protein-coding genes, nonprotein-coding genes have allocated a large fraction of the genome. Long noncoding RNA (lncRNA) genes are classified as nonprotein-coding genes, serving as a molecular signal, decoy, guide and scaffold. They were suggested to play important roles in chromatin states, epigenetic and posttranscriptional regulation of genes. Aberrant expression of lncRNAs and changes in their structure are associated with a wide spectrum of diseases ranging from different types of cancer and neurodegeneration to ?-thalassaemia. The purpose of this study was to summarize the current progress in understanding the genomic bases and origin of lncRNAs. Moreover, this study focusses on the diverse functions of lncRNAs in normal cells as well as various types of disease to illustrate the potential impacts of lncRNAs on diverse biological processes and their therapeutic significance.

Computational Analysis and Predictive Cheminformatics Modeling of Small Molecule Inhibitors of Epigenetic Modifiers

BACKGROUND

The dynamic and differential regulation and expression of genes is majorly governed by the complex interactions of a subset of biomolecules in the cell operating at multiple levels starting from genome organisation to protein post-translational regulation. The regulatory layer contributed by the epigenetic layer has been one of the favourite areas of interest recently. This layer of regulation as we know today largely comprises of DNA modifications, histone modifications and noncoding RNA regulation and the interplay between each of these major components. Epigenetic regulation has been recently shown to be central to development of a number of disease processes. The availability of datasets of high-throughput screens for molecules for biological properties offer a new opportunity to develop computational methodologies which would enable in-silico screening of large molecular libraries.

METHODS

In the present study, we have used data from high throughput screens for the inhibitors of epigenetic modifiers. Computational predictive models were constructed based on the molecular descriptors. Machine learning algorithms for supervised training, Naive Bayes and Random Forest, were used to generate predictive models for the small molecule inhibitors of histone methyl-transferases and demethylases. Random forest, with the accuracy of 80%, was identified as the most accurate classifier. Further we complemented the study with substructure search approach filtering out the probable pharmacophores from the active molecules leading to drug molecules.

RESULTS

We show that effective use of appropriate computational algorithms could be used to learn molecular and structural correlates of biological activities of small molecules. The computational models developed could be potentially used to screen and identify potential new biological activities of molecules from large molecular libraries and prioritise them for in-depth biological assays. To the best of our knowledge, this is the first and most comprehensive computational analysis towards understanding activities of small molecules inhibitors of epigenetic modifiers.

Upregulation of Long Noncoding RNA Small Nucleolar RNA Host Gene 18 Promotes Radioresistance of Glioma by Repressing Semaphorin 5A

PURPOSE

Although increasing evidence has shown that long noncoding RNAs play an important regulatory role in carcinogenesis and tumor progression, little is known about the role of small nucleolar RNA host gene 18 (SNHG18) in cancer. The goal of this study was to investigate the expression of SNHG18 and its clinical significance in glioma.

METHODS AND MATERIALS

Differences in the lncRNA expression profile between M059K and M059J cells were assessed by lncRNA expression microarray analysis. The expression and localization of SNHG18 in glioma cells or tissues was evaluated by quantitative reverse transcription-polymerase chain reaction (qRT-PCR) and in situ hybridization (ISH), respectively. the clinical associations of SNHG18 in glioma was evaluated by qRT-PCR, ISH and immunohistochemistry. The role of SNHG18 in glioma radiosensitivity was evaluated by colony formation assays, immunofluorescence, Western blot and tumor growth inhibition study.

RESULTS

The present study investigated the clinical associations of SNHG18 and its role in glioma. Our results showed that the expression of SNHG18 was remarkably upregulated in clinical glioma tissues compared with normal brain tissues. SNHG18 expression was associated with the clinical tumor grade and correlated negatively with isocitrate dehydrogenase 1 mutation. In addition, knockdown of SNHG18 with short hairpin RNA suppressed the radioresistance of glioma cells, and transgenic expression of SNHG18 had the opposite effect. Furthermore, xenograft tumors grown from cells with SNHG18 deletion were more radiosensitive than tumors grown from control cells. Further studies revealed that SNHG18 promotes radioresistance by inhibiting semaphorin 5A and that inhibition of semaphorin 5A expression abrogated the radiosensitizing effect caused by SNHG18 deletion.

CONCLUSIONS

Our findings provide new insights into the role of SNHG18 in glioma and suggest its potential as a target for glioma therapy.

Up-regulation of LncRNA SNHG20 Predicts Poor Prognosis in Hepatocellular Carcinoma

Recent studies indicated that long noncoding RNAs (lncRNAs) played important regulatory roles in carcinogenesis and cancer progression. However, the contribution of small nucleolar RNA host gene 20 (SNHG20) to cancer development remains largely unknown. The aim of the study is to investigate the expression of SNHG20 and its clinical significance in hepatocellular carcinoma (HCC). Our results showed that the expression of SNHG20 was remarkably up-regulated in HCC tissues compared with adjacent non-tumor liver tissues from 49 fresh HCC samples (cohort 1) detected by quantitative reverse-transcription polymerase chain reaction (qRT-PCR, P = 0.004). The results were confirmed in 144 formalin-fixed, paraffin-embedded HCC tissues (cohort 2) by in situ hybridization (ISH). Meanwhile, the expression of SNHG20 was associated with tumor size (P = 0.027 for cohort 1 and P = 0.046 for cohort 2) and clinical stage (P = 0.027 for cohort 1 and P = 0.028 for cohort 2). Importantly, patients with high expression of SNHG20 had a shorter overall survival (OS, P < 0.001) and disease-free survival (DFS, P < 0.001) than those with low expression of SNHG20. Univatiate and multivariate analysis showed that SNHG20 was a significant and independent prognostic predictor for OS of HCC patients (hazard ratio = 3.985, 95% CI = 1.981-8.017, P < 0.001). In addition, a total of 331 HCC patients' data from the Caner Genome Atlas project (TCGA) were used to validate our findings. Consistently, the results from TCGA HCC cohort demonstrated that SNHG20 were overexpressed in HCC tissues compared with non-tumor liver tissues (P < 0.001). Patients with higher expression levels of SNHG20 had poorer OS (P = 0.021) and DFS (P < 0.001). Functionally, knockdown of SNHG20 in SK-Hep-1 cells significantly inhibited cellular proliferation, migration, and invasion. In conclusion, SNHG20, up-regulated in patients with HCC, may serve as an independent prognostic predictor for HCC patients.

Long noncoding RNAs and tumorigenesis: genetic associations, molecular mechanisms, and therapeutic strategies

The human genome contains a large number of nonprotein-coding sequences. Recently, new discoveries in the functions of nonprotein-coding sequences have demonstrated that the "Dark Genome" significantly contributes to human diseases, especially with regard to cancer. Of particular interest in this review are long noncoding RNAs (lncRNAs), which comprise a class of nonprotein-coding transcripts that are longer than 200 nucleotides. Accumulating evidence indicates that a large number of lncRNAs exhibit genetic associations with tumorigenesis, tumor progression, and metastasis. Our current understanding of the molecular bases of these lncRNAs that are associated with cancer indicate that they play critical roles in gene transcription, translation, and chromatin modification. Therapeutic strategies based on the targeting of lncRNAs to disrupt their expression or their functions are being developed. In this review, we briefly summarize and discuss the genetic associations and the aberrant expression of lncRNAs in cancer, with a particular focus on studies that have revealed the molecular mechanisms of lncRNAs in tumorigenesis. In addition, we also discuss different therapeutic strategies that involve the targeting of lncRNAs.

Three-dimensional regulation of transcription

Cells can adapt to environment and development by reconstructing their transcriptional networks to regulate diverse cellular processes without altering the underlying DNA sequences. These alterations, namely epigenetic changes, occur during cell division, differentiation and cell death. Numerous evidences demonstrate that epigenetic changes are governed by various types of determinants, including DNA methylation patterns, histone posttranslational modification signatures, histone variants, chromatin remodeling, and recently discovered chromosome conformation characteristics and non-coding RNAs (ncRNAs). Here, we highlight recent efforts on how the two latter epigenetic factors participate in the sophisticated transcriptional process and describe emerging techniques which permit us to uncover and gain insights into the fascinating genomic regulation.

Two novel splice variants of SOX2OT, SOX2OT-S1, and SOX2OT-S2 are coupregulated with SOX2 and OCT4 in esophageal squamous cell carcinoma

Long noncoding RNAs (lncRNAs) have emerged as new regulators of stem cell pluripotency and tumorigenesis. The SOX2 gene, a master regulator of pluripotency, is embedded within the third intron of a lncRNA known as SOX2 overlapping transcript (SOX2OT). SOX2OT has been suspected to participate in regulation of SOX2 expression and/or other related processes; nevertheless, its potential involvement in tumor initiation and/or progression is unclear. Here, we have evaluated a possible correlation between expression patterns of SOX2OT and those of master regulators of pluripotency, SOX2 and OCT4, in esophageal squamous cell carcinoma (ESCC) tissue samples. We have also examined its potential function in the human embryonic carcinoma stem cell line, NTERA2 (NT2), which highly expresses SOX2OT, SOX2, and OCT4. Our data revealed a significant coupregulation of SOX2OT along with SOX2 and OCT4 in tumor samples, compared to the non-tumor tissues obtained from the margin of same tumors. We also identified two novel splice variants of SOX2OT (SOX2OT-S1 and SOX2OT-S2) which coupregulated with SOX2 and OCT4 in ESCCs. Suppressing SOX2OT variants caused a profound alteration in cell cycle distribution, including a 5.9 and 6.9 time increase in sub-G1 phase of cell cycle for SOX2OT-S1 and SOX2OT-S2, respectively. The expression of all variants was significantly diminished, upon the induction of neural differentiation in NT2 cells, suggesting their potential functional links to the undifferentiated state of the cells. Our data suggest a part for SOX2OT spliced variants in tumor initiation and/or progression as well as regulating pluripotent state of stem cells.

[Update on the genetics of stroke]

Stroke is a disease with significant morbidity, mortality, and economic and social impacts. It is a complex entity whose pathogenesis involves multiple environmental and genetic factors, with the latter having a role in up to 50% of strokes. The objective of the review is to analyze the available methods for the genetic diagnosis including linkage studies of variation in copy number, gene - candidate approximations, or whole genome (GWAS) and polymorphisms associated with its pathogenesis. We describe several single nucleotide polymorphisms (SNPs) associated with stroke in association studies and GWAS such as SNPs of angiotensin, the aldosterone system, paraoxonases, nitric oxide, coagulation, and fibrinolysis system, among others. We also analyze the role of certain polymorphisms in the phenotype of the carotid plaque, intracranial aneurysms and lobar hemorrhages. Pharmacogenomic aspects in which SNPs affect the response and safety regarding the use of different drugs are also described. Several SNPs that significantly contribute to the risk of stroke are also described. The advent of techniques like GWAS has contributed to the understanding of genetics and pharmacogenomics of stroke.

Epigenetic mechanisms of importance for drug treatment

There are pronounced interindividual variations in drug metabolism, drug responses, and the incidence of adverse drug reactions. To a certain extent such variability can be explained by genetic factors, but epigenetic modifications, which are relatively scarcely described so far, also contribute. It is known that a novel class of drugs termed epidrugs intervene in the epigenetic control of gene expression, and many of these are now in clinical trials for disease treatment. In addition, disease prognosis and drug treatment success can be monitored using epigenetic biomarkers. Here we review these novel aspects in pharmacology and address intriguing future opportunities for gene-specific epigenetic editing.

Computational approaches in detecting non- coding RNA

The important role of non coding RNAs (ncRNAs) in the cell has made their identification a critical issue in the biological research. However, traditional approaches such as PT-PCR and Northern Blot are costly. With recent progress in bioinformatics and computational prediction technology, the discovery of ncRNAs has become realistically possible. This paper aims to introduce major computational approaches in the identification of ncRNAs, including homologous search, de novo prediction and mining in deep sequencing data. Furthermore, related software tools have been compared and reviewed along with a discussion on future improvements.

Non-coding RNAs in muscle dystrophies

ncRNAs are the most recently identified class of regulatory RNAs with vital functions in gene expression regulation and cell development. Among the variety of roles they play, their involvement in human diseases has opened new avenues of research towards the discovery and development of novel therapeutic approaches. Important data come from the field of hereditary muscle dystrophies, like Duchenne muscle dystrophy and Myotonic dystrophies, rare diseases affecting 1 in 7000-15,000 newborns and is characterized by severe to mild muscle weakness associated with cardiac involvement. Novel therapeutic approaches are now ongoing for these diseases, also based on splicing modulation. In this review we provide an overview about ncRNAs and their behavior in muscular dystrophy and explore their links with diagnosis, prognosis and treatments, highlighting the role of regulatory RNAs in these pathologies.

5'-Serial Analysis of Gene Expression studies reveal a transcriptomic switch during fruiting body development in Coprinopsis cinerea

Background

The transition from the vegetative mycelium to the primordium during fruiting body development is the most complex and critical developmental event in the life cycle of many basidiomycete fungi. Understanding the molecular mechanisms underlying this process has long been a goal of research on basidiomycetes. Large scale assessment of the expressed transcriptomes of these developmental stages will facilitate the generation of a more comprehensive picture of the mushroom fruiting process. In this study, we coupled 5'-Serial Analysis of Gene Expression (5'-SAGE) to high-throughput pyrosequencing from 454 Life Sciences to analyze the transcriptomes and identify up-regulated genes among vegetative mycelium (Myc) and stage 1 primordium (S1-Pri) of Coprinopsis cinerea during fruiting body development.

Results

We evaluated the expression of >3,000 genes in the two respective growth stages and discovered that almost one-third of these genes were preferentially expressed in either stage. This identified a significant turnover of the transcriptome during the course of fruiting body development. Additionally, we annotated more than 79,000 transcription start sites (TSSs) based on the transcriptomes of the mycelium and stage 1 primoridum stages. Patterns of enrichment based on gene annotations from the GO and KEGG databases indicated that various structural and functional protein families were uniquely employed in either stage and that during primordial growth, cellular metabolism is highly up-regulated. Various signaling pathways such as the cAMP-PKA, MAPK and TOR pathways were also identified as up-regulated, consistent with the model that sensing of nutrient levels and the environment are important in this developmental transition. More than 100 up-regulated genes were also found to be unique to mushroom forming basidiomycetes, highlighting the novelty of fruiting body development in the fungal kingdom.

Conclusions

We implicated a wealth of new candidate genes important to early stages of mushroom fruiting development, though their precise molecular functions and biological roles are not yet fully known. This study serves to advance our understanding of the molecular mechanisms of fruiting body development in the model mushroom C. cinerea.

There is a world beyond protein mutations: the role of non-coding RNAs in melanomagenesis

Until recently, the general perception has been that mutations in protein-coding genes are responsible for tumorigenesis. With the discovery of (V600E)BRAF in about 50% of cutaneous melanomas, there was an increased effort to find additional mutations. However, mutations characterized in melanoma to date cannot account for the development of all melanomas. With the discovery of microRNAs as important players in melanomagenesis, protein mutations are no longer considered the sole drivers of tumors. Recent research findings have expanded the view for tumor initiation and progression to additional non-coding RNAs. The data suggest that tumorigenesis is likely an interplay between mutated proteins and deregulation of non-coding RNAs in the cell with an additional role of the tumor environment. With the exception of microRNAs, our knowledge of the role of non-coding RNAs in melanoma is in its infancy. Using few examples, we will summarize some of the roles of non-coding RNAs in tumorigenesis. Thus, there is a whole world beyond protein-coding sequences and microRNAs, which can cause melanoma.

Cis-acting noncoding RNAs: friends and foes

In recent years, the number and types of known functional noncoding RNAs have increased considerably. A subset of both short- and long-sized species are known to be involved in the cis regulation of target genes located at or near the same genomic locus. Their expression is often coordinated with that of neighboring protein-coding genes, and in many cases, related transcripts can influence each other at one step or another during their biogenesis. Here, we review the current literature, summarizing the existing knowledge about mammalian cis-acting RNAs and their impact on physiological and disease states.

An epigenetic framework for neurodevelopmental disorders: from pathogenesis to potential therapy

Neurodevelopmental disorders (NDDs) are characterized by aberrant and delayed early-life development of the brain, leading to deficits in language, cognition, motor behaviour and other functional domains, often accompanied by somatic symptoms. Environmental factors like perinatal infection, malnutrition and trauma can increase the risk of the heterogeneous, multifactorial and polygenic disorders, autism and schizophrenia. Conversely, discrete genetic anomalies are involved in Down, Rett and Fragile X syndromes, tuberous sclerosis and neurofibromatosis, the less familiar Phelan-McDermid, Sotos, Kleefstra, Coffin-Lowry and "ATRX" syndromes, and the disorders of imprinting, Angelman and Prader-Willi syndromes. NDDs have been termed "synaptopathies" in reference to structural and functional disturbance of synaptic plasticity, several involve abnormal Ras-Kinase signalling ("rasopathies"), and many are characterized by disrupted cerebral connectivity and an imbalance between excitatory and inhibitory transmission. However, at a different level of integration, NDDs are accompanied by aberrant "epigenetic" regulation of processes critical for normal and orderly development of the brain. Epigenetics refers to potentially-heritable (by mitosis and/or meiosis) mechanisms controlling gene expression without changes in DNA sequence. In certain NDDs, prototypical epigenetic processes of DNA methylation and covalent histone marking are impacted. Conversely, others involve anomalies in chromatin-modelling, mRNA splicing/editing, mRNA translation, ribosome biogenesis and/or the regulatory actions of small nucleolar RNAs and micro-RNAs. Since epigenetic mechanisms are modifiable, this raises the hope of novel therapy, though questions remain concerning efficacy and safety. The above issues are critically surveyed in this review, which advocates a broad-based epigenetic framework for understanding and ultimately treating a diverse assemblage of NDDs ("epigenopathies") lying at the interface of genetic, developmental and environmental processes. This article is part of the Special Issue entitled 'Neurodevelopmental Disorders'.

From cells to chromatin: capturing snapshots of genome organization with 5C technology

In eukaryotes, genome organization can be observed on many levels and at different scales. This organization is important not only to reduce chromosome length but also for the proper execution of various biological processes. High-resolution mapping of spatial chromatin structure was made possible by the development of the chromosome conformation capture (3C) technique. 3C uses chemical cross-linking followed by proximity-based ligation of fragmented DNA to capture frequently interacting chromatin segments in cell populations. Several 3C-related methods capable of higher chromosome conformation mapping throughput were reported afterwards. These techniques include the 3C-carbon copy (5C) approach, which offers the advantage of being highly quantitative and reproducible. We provide here an updated reference protocol for the production of 5C libraries analyzed by next-generation sequencing or onto microarrays. A procedure used to verify that 3C library templates bear the high quality required to produce superior 5C libraries is also described. We believe that this detailed protocol will help guide researchers in probing spatial genome organization and its role in various biological processes.

The DMD locus harbours multiple long non-coding RNAs which orchestrate and control transcription of muscle dystrophin mRNA isoforms

The 2.2 Mb long dystrophin (DMD) gene, the largest gene in the human genome, corresponds to roughly 0.1% of the entire human DNA sequence. Mutations in this gene cause Duchenne muscular dystrophy and other milder X-linked, recessive dystrophinopathies. Using a custom-made tiling array, specifically designed for the DMD locus, we identified a variety of novel long non-coding RNAs (lncRNAs), both sense and antisense oriented, whose expression profiles mirror that of DMD gene. Importantly, these transcripts are intronic in origin and specifically localized to the nucleus and are transcribed contextually with dystrophin isoforms or primed by MyoD-induced myogenic differentiation. Furthermore, their forced ectopic expression in both human muscle and neuronal cells causes a specific and negative regulation of endogenous dystrophin full length isoforms and significantly down-regulate the activity of a luciferase reporter construct carrying the minimal promoter regions of the muscle dystrophin isoform. Consistent with this apparently repressive role, we found that, in muscle samples of dystrophinopathic female carriers, lncRNAs expression levels inversely correlate with those of muscle full length DMD isoforms. Overall these findings unveil an unprecedented complexity of the transcriptional pattern of the DMD locus and reveal that DMD lncRNAs may contribute to the orchestration and homeostasis of the muscle dystrophin expression pattern by either selective targeting and down-modulating the dystrophin promoter transcriptional activity.

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.

Genome-wide analysis reveals distinct patterns of epigenetic features in long non-coding RNA loci

A major fraction of the transcriptome of higher organisms comprised an extensive repertoire of long non-coding RNA (lncRNA) which express in a cell type and development stage-specific manner. While lncRNAs are a proven component of epigenetic gene expression modulation, epigenetic regulation of lncRNA itself remains poorly understood. Here we have analysed pan-genomic DNA methylation and histone modification marks (H3K4me3, H3K9me3, H3K27me3 and H3K36me3) associated with transcription start site (TSS) of lncRNA in four different cell types and three different tissue types representing various cellular stages. We observe that histone marks associated with active transcription H3K4me3 and H3K36me3 along with the repressive histone mark H3K27me3 have similar distribution pattern around TSS irrespective of cell types. Also, the density of these marks correlates well with expression of protein-coding and lncRNA genes. In contrast, the lncRNA genes harbour higher methylation density around TSS than protein-coding genes regardless of their expression status. Furthermore, we found that DNA methylation along with the other repressive histone mark H3K9me3 does not seem to play a role in lncRNA expression. Thus, our observation suggests that epigenetic regulation of lncRNA shares common features with mRNA except the role of DNA methylation which is markedly dissimilar.