Gene Content Analysis of Sugarcane Public ESTs Reveals Thousands of Missing Coding-Genes and an Unexpected Pool of Grasses Conserved ncRNAs

Sugarcane is the most important crop for sugar industry and raw material for bioethanol. Here we present a quantitative analysis of the gene content from publicly available sugarcane ESTs. The current sugarcane EST collection sampled orthologs for ~58 % of the closely-related sorghum proteome, suggesting that more than 10,000 sugarcane coding-genes remain undiscovered. Moreover the existence of more than 2,000 ncRNAs conserved between sugarcane and sorghum was revealed, among which over 500 are also detected in rice, supporting the existence of hundreds of conserved ncRNAs in grasses. New efforts towards sugarcane transcriptome sequencing were needed to sample the missing coding-genes as well as to expand the catalog of ncRNAs. © 2012 Springer Science+Business Media, LLC.

Expression of Mitochondrial Non-coding RNAs (ncRNAs) Is Modulated by High Risk Human Papillomavirus (HPV) Oncogenes

The study of RNA and DNA oncogenic viruses has proved invaluable in the discovery of key cellular pathways that are rendered dysfunctional during cancer progression. An example is high risk human papillomavirus (HPV), the etiological agent of cervical cancer. The role of HPV oncogenes in cellular immortalization and transformation has been extensively investigated. We reported the differential expression of a family of human mitochondrial non-coding RNAs (ncRNAs) between normal and cancer cells. Normal cells express a sense mitochondrial ncRNA (SncmtRNA) that seems to be required for cell proliferation and two antisense transcripts (ASncmtRNAs). In contrast, the ASncmtRNAs are down-regulated in cancer cells. To shed some light on the mechanisms that trigger down-regulation of the ASncmtRNAs, we studied human keratinocytes (HFK) immortalized with HPV. Here we show that immortalization of HFK with HPV-16 or 18 causes down-regulation of the ASncmtRNAs and induces the expression of a new sense transcript named SncmtRNA-2. Transduction of HFK with both E6 and E7 is sufficient to induce expression of SncmtRNA-2. Moreover, E2 oncogene is involved in down-regulation of the ASncmtRNAs. Knockdown of E2 in immortalized cells reestablishes in a reversible manner the expression of the ASncmtRNAs, suggesting that endogenous cellular factors(s) could play functions analogous to E2 during non-HPV-induced oncogenesis.

Ribosome-associated ncRNAs: An emerging class of translation regulators

Accumulating recent evidence identified the ribosome as binding target for numerous small and long non-protein-coding RNAs (ncRNAs) in various organisms of all 3 domains of life. Therefore it appears that ribosome-associated ncRNAs (rancRNAs) are a prevalent, yet poorly understood class of cellular transcripts. Since rancRNAs are associated with the arguable most central enzyme of the cell it seems plausible to propose a role in translation control. Indeed first experimental evidence on small rancRNAs has been presented, linking ribosome association with fine-tuning the rate of protein biosynthesis in a stress-dependent manner.

Ribosome-associated ncRNAs (rancRNAs) An emerging class of translation regulators

Small non-protein-coding RNA (ncRNA) molecules represent major contributors to regulatory networks in controlling gene expression in a highly efficient manner. Most of the recently discovered regulatory ncRNAs acting on translation target the mRNA rather than the ribosome (e.g.: miRNAs, siRNAs, antisense RNAs). To address the question, whether ncRNA regulators exist that are capable of modulating the rate of protein production by directly interacting with the ribosome, we have analyzed the small ncRNA interactomes of ribosomes. Deep-sequencing analyses revealed thousands of putative rancRNAs in various model organisms (1,2). For a subset of these ncRNA candidates we have gathered experimental evidence that they associate with ribosomes in a stress-dependent manner and fine-tune the rate of protein biosynthesis (3,4). Many of the investigated rancRNAs appear to be processing products of larger functional RNAs, such as tRNAs (2,3), mRNAs (3), or snoRNAs (2). Post-transcriptional cleavage of RNA to generate smaller fragments is a widespread mechanism that enlarges the structural and functional complexity of cellular RNomes. Our data disclose the ribosome as target for small regulatory RNAs. rancRNAs are found in all domains of life and represent a prevalent but so far largely unexplored class of regulatory molecules (5). Ongoing work in our lab revealed first insight into rancRNA processing and mechanism of this emerging class of translation regulators.

Identification and characterisation of ncRNAs in dormant bacteria

Recent years have led to increasing interest and appreciation of the possible importance of single cell heterogeneity in various biological processes. One of the examples of phenotypic heterogeneity in bacterial populations is antibiotic tolerant persister cells. Such an antibiotic tolerance phenotype is of considerable clinical relevance since dormant bacteria can re-establish infections rapidly after the antibiotic treatment has been terminated. Up to now mechanisms for establishing the persistence phenomenon in bacteria have remained largely enigmatic. Persisters are cells considered to be in a dormant state with down regulated gene expression. Only recently small regulatory RNAs (sRNAs) have been appreciated as important regulators of gene expression in response to environmental stimuli and several theoretical studies have suggested a possible involvement of sRNAs in the mechanisms of regulated heterogeneity in bacteria. We have experimentally addressed this potential link between sRNAs and persistence/dormancy in E. coli as an example of heterogeneity. Beside classical sRNAs we are focusing also on sRNAs directly associating with and possibly regulating the ribosome, the central enzyme of gene expression. The persister and dormant cell specific sRNA profile is studied by the comparative analysis of sRNA profile changes of the whole bacterial population after antibiotic killing. From RNA-Seq data ~ 25 000 potentially stable RNA fragments were identified and initial analysis predicted ~300 of them to be dormant/persister cell specific. After further evaluation the most prominent dormant/persister cell specific sRNAs are functionally characterized and their potential role in the persistence/dormancy will be evaluated by applying genetic, molecular and biochemical tools. The potential results of this project will provide a better understanding on the molecular mechanism of bacterial persistence/dormancy and on the role of ribosome-bound sRNA molecules in fine-tuning gene expression.

Identification and characterisation of ncRNAs in dormant bacteria

Recent years have led to increasing interest and appreciation of the possible importance of single cell heterogeneity in various biological processes. One of the examples of phenotypic heterogeneity in bacterial populations is antibiotic tolerant persister cells. Such an antibiotic tolerance phenotype is of considerable clinical relevance since dormant bacteria can re-establish infections rapidly after the antibiotic treatment has been terminated. Up to now mechanisms for establishing the persistence phenomenon in bacteria have remained largely enigmatic. Persisters are cells considered to be in a dormant state with down regulated gene expression. Only recently small regulatory RNAs (sRNAs) have been appreciated as important regulators of gene expression in response to environmental stimuli and several theoretical studies have suggested a possible involvement of sRNAs in the mechanisms of regulated heterogeneity in bacteria. We have experimentally addressed this potential link between sRNAs and persistence/dormancy in E. coli as an example of heterogeneity. Beside classical sRNAs we are focusing also on sRNAs directly associating with and possibly regulating the ribosome, the central enzyme of gene expression. The persister and dormant cell specific sRNA profile is studied by the comparative analysis of sRNA profile changes of the whole bacterial population after antibiotic killing. From RNA-Seq data ~ 25 000 potentially stable RNA fragments were identified and initial analysis predicted ~300 of them to be dormant/persister cell specific. After further evaluation the most prominent dormant/persister cell specific sRNAs are functionally characterized and their potential role in the persistence/dormancy will be evaluated by applying genetic, molecular and biochemical tools. The potential results of this project will provide a better understanding on the molecular mechanism of bacterial persistence/dormancy and on the role of ribosome-bound sRNA molecules in fine-tuning gene expression.

Identification and characterisation of ncRNAs in dormant bacteria

Recent years have led to increasing interest and appreciation of the possible importance of single cell heterogeneity in various biological processes. One of the examples of phenotypic heterogeneity in bacterial populations is antibiotic tolerant persister cells. Such an antibiotic tolerance phenotype is of considerable clinical relevance since dormant bacteria can re-establish infections rapidly after the antibiotic treatment has been terminated. Up to now mechanisms for establishing the persistence phenomenon in bacteria have remained largely enigmatic. Persisters are cells considered to be in a dormant state with down regulated gene expression. Only recently small regulatory RNAs (sRNAs) have been appreciated as important regulators of gene expression in response to environmental stimuli and several theoretical studies have suggested a possible involvement of sRNAs in the mechanisms of regulated heterogeneity in bacteria. We have experimentally addressed this potential link between sRNAs and persistence/dormancy in E. coli as an example of heterogeneity. Beside classical sRNAs we are focusing also on sRNAs directly associating with and possibly regulating the ribosome, the central enzyme of gene expression. The persister and dormant cell specific sRNA profile is studied by the comparative analysis of sRNA profile changes of the whole bacterial population after antibiotic killing. From RNA-Seq data ~ 25 000 potentially stable RNA fragments were identified and initial analysis predicted ~300 of them to be dormant/persister cell specific. After further evaluation the most prominent dormant/persister cell specific sRNAs are functionally characterized and their potential role in the persistence/dormancy will be evaluated by applying genetic, molecular and biochemical tools. The potential results of this project will provide a better understanding on the molecular mechanism of bacterial persistence/dormancy and on the role of ribosome-bound sRNA molecules in fine-tuning gene expression.

Deep sequencing reveals predominant expression of miR-21 amongst the small non-coding RNAs in retinal microvascular endothelial cells

The retinal vascular endothelium is essential for angiogenesis and is involved in maintaining barrier selectivity and vascular tone. The aim of this study was to identify and quantify microRNAs and other small regulatory non-coding RNAs (ncRNAs) which may regulate these crucial functions. Primary bovine retinal microvascular endothelial cells (RMECs) provide a well-characterized in vitro system for studying angiogenesis. RNA extracted from RMECs was used to prepare a small RNA library for deep sequencing (Illumina Genome Analyzer). A total of 6.8 million reads were mapped to 250 known microRNAs in miRBase (release 16). In many cases, the most frequent isomiR differed from the sequence reported in miRBase. In addition, five novel microRNAs, 13 novel bovine orthologs of known human microRNAs and multiple new members of the miR-2284/2285 family were detected. Several similar to 30 nucleotide sno-miRNAs were identified, with the most highly expressed being derived from snoRNA U78. Highly expressed microRNAs previously associated with endothelial cells included miR-126 and miR-378, but the most highly expressed was miR-21, comprising more than one-third of all mapped reads. Inhibition of miR-21 with an LNA inhibitor significantly reduced proliferation, migration, and tube-forming capacity of RMECs. The independence from prior sequence knowledge provided by deep sequencing facilitates analysis of novel microRNAs and other small RNAs. This approach also enables quantitative evaluation of microRNA expression, which has highlighted the predominance of a small number of microRNAs in RMECs. Knockdown of miR-21 suggests a role for this microRNA in regulation of angiogenesis in the retinal microvasculature. J. Cell. Biochem. 113: 20982111, 2012. (C) 2012 Wiley Periodicals, Inc.

Non-coding RNAs: multi-tasking molecules in the cell

In the last years it has become increasingly clear that the mammalian transcriptome is highly complex and includes a large number of small non-coding RNAs (sncRNAs) and long noncoding RNAs (lncRNAs). Here we review the biogenesis pathways of the three classes of sncRNAs, namely short interfering RNAs (siRNAs), microRNAs (miRNAs) and PIWI-interacting RNAs (piRNAs). These ncRNAs have been extensively studied and are involved in pathways leading to specific gene silencing and the protection of genomes against virus and transposons, for example. Also, lncRNAs have emerged as pivotal molecules for the transcriptional and post-transcriptional regulation of gene expression which is supported by their tissue-specific expression patterns, subcellular distribution, and developmental regulation. Therefore, we also focus our attention on their role in differentiation and development. SncRNAs and lncRNAs play critical roles in defining DNA methylation patterns, as well as chromatin remodeling thus having a substantial effect in epigenetics. The identification of some overlaps in their biogenesis pathways and functional roles raises the hypothesis that these molecules play concerted functions in vivo, creating complex regulatory networks where cooperation with regulatory proteins is necessary. We also highlighted the implications of biogenesis and gene expression deregulation of sncRNAs and lncRNAs in human diseases like cancer.

Annotation des ARN non codants du génome de Candida albicans par méthode bioinformatique

La bio-informatique est un champ pluridisciplinaire qui utilise la biologie, l’informatique, la physique et les mathématiques pour résoudre des problèmes posés par la biologie. L’une des thématiques de la bio-informatique est l’analyse des séquences génomiques et la prédiction de gènes d’ARN non codants. Les ARN non codants sont des molécules d’ARN qui sont transcrites mais pas traduites en protéine et qui ont une fonction dans la cellule. Trouver des gènes d’ARN non codants par des techniques de biochimie et de biologie moléculaire est assez difficile et relativement coûteux. Ainsi, la prédiction des gènes d’ARNnc par des méthodes bio-informatiques est un enjeu important. Cette recherche décrit un travail d’analyse informatique pour chercher des nouveaux ARNnc chez le pathogène Candida albicans et d’une validation expérimentale. Nous avons utilisé comme stratégie une analyse informatique combinant plusieurs logiciels d’identification d’ARNnc. Nous avons validé un sous-ensemble des prédictions informatiques avec une expérience de puces à ADN couvrant 1979 régions du génome. Grace à cette expérience nous avons identifié 62 nouveaux transcrits chez Candida albicans. Ce travail aussi permit le développement d’une méthode d’analyse pour des puces à ADN de type tiling array. Ce travail présente également une tentation d’améliorer de la prédiction d’ARNnc avec une méthode se basant sur la recherche de motifs d’ARN dans les séquences.

Identification de caractéristiques communes et rares dans les ARN structurés dans la base de données Rfam

Les ARN non codants (ARNnc) sont des transcrits d'ARN qui ne sont pas traduits en protéines et qui pourtant ont des fonctions clés et variées dans la cellule telles que la régulation des gènes, la transcription et la traduction. Parmi les nombreuses catégories d'ARNnc qui ont été découvertes, on trouve des ARN bien connus tels que les ARN ribosomiques (ARNr), les ARN de transfert (ARNt), les snoARN et les microARN (miARN). Les fonctions des ARNnc sont étroitement liées à leurs structures d’où l’importance de développer des outils de prédiction de structure et des méthodes de recherche de nouveaux ARNnc. Les progrès technologiques ont mis à la disposition des chercheurs des informations abondantes sur les séquences d'ARN. Ces informations sont accessibles dans des bases de données telles que Rfam, qui fournit des alignements et des informations structurelles sur de nombreuses familles d'ARNnc. Dans ce travail, nous avons récupéré toutes les séquences des structures secondaires annotées dans Rfam, telles que les boucles en épingle à cheveux, les boucles internes, les renflements « bulge », etc. dans toutes les familles d'ARNnc. Une base de données locale, RNAstem, a été créée pour faciliter la manipulation et la compilation des données sur les motifs de structure secondaire. Nous avons analysé toutes les boucles terminales et internes ainsi que les « bulges » et nous avons calculé un score d’abondance qui nous a permis d’étudier la fréquence de ces motifs. Tout en minimisant le biais de la surreprésentation de certaines classes d’ARN telles que l’ARN ribosomal, l’analyse des scores a permis de caractériser les motifs rares pour chacune des catégories d’ARN en plus de confirmer des motifs communs comme les boucles de type GNRA ou UNCG. Nous avons identifié des motifs abondants qui n’ont pas été étudiés auparavant tels que la « tetraloop » UUUU. En analysant le contenu de ces motifs en nucléotides, nous avons remarqué que ces régions simples brins contiennent beaucoup plus de nucléotides A et U. Enfin, nous avons exploré la possibilité d’utiliser ces scores pour la conception d’un filtre qui permettrait d’accélérer la recherche de nouveaux ARN non-codants. Nous avons développé un système de scores, RNAscore, qui permet d’évaluer un ARN en se basant sur son contenu en motifs et nous avons testé son applicabilité avec différents types de contrôles.

Gene expression profiling reveals molecular marker candidates of laryngeal squamous cell carcinoma

Laryngeal squamous cell carcinoma is very common in head and neck cancer, with high mortality rates and poor prognosis. In this study, we compared expression profiles of clinical samples from 13 larynx tumors and 10 non-neoplastic larynx tissues using a custom-built cDNA microarray containing 331 probes for 284 genes previously identified by informatics analysis of EST databases as markers of head and neck tumors. Thirty-five genes showed statistically significant differences (SNR >= 11.01, p <= 0.001) in the expression between tumor and non-tumor larynx tissue samples. Functional annotation indicated that these genes are involved in cellular processes relevant to the cancer phenotype, such as apoptosis, cell cycle, DNA repair, proteolysis, protease inhibition, signal transduction and transcriptional regulation. Six of the identified transcripts map to intronic regions of protein-coding genes and may comprise non-annotated exons or as yet uncharacterized long ncRNAs with a regulatory role in the gene expression program of larynx tissue. The differential expression of 10 of these genes (ADCY6, AES, AL2SCR3, CRR9, CSTB, DUSP1, MAP3K5, PLAT, UBL1 and ZNF706) was independently confirmed by quantitative real-time RT-PCR. Among these, the CSTB gene product has cysteine protease inhibitor activity that has been associated with an antimetastatic function. Interestingly, CSTB showed a low expression in the tumor samples analyzed (p<0.0001). The set of genes identified here contribute to a better understanding of the molecular basis of larynx cancer, and provide candidate markers for improving diagnosis, prognosis and treatment of this carcinoma.