O câncer de próstata é o quinto tipo mais comum de câncer no mundo e o mais comum em homens. Fatores clínicos e anatomopatológicos atualmente usados na clínica não são capazes de distinguir entre a doença indolente e a agressiva. Existe uma grande necessidade de novos marcadores de prognóstico, a fim de melhorar o gerenciamento clínico de pacientes de câncer de próstata. Além das anormalidades em genes codificadores de proteínas, alterações em RNAs não codificadores (ncRNAs) contribuem para a patogênese do câncer e, portanto, representam outra fonte potencial de biomarcadores de câncer de próstata. Entretanto, até o momento, poucos estudos de perfis de expressão de ncRNAs foram publicados. Este projeto teve como principal objetivo identificar perfis de expressão de genes codificadores e não codificadores de proteína correlacionados com recorrência de tumor de próstata, a fim de gerar um perfil prognóstico com potencial uso como biomarcadores e elucidar o possível papel de ncRNAs no desenvolvimento do câncer. Para isso, foram analisados os perfis de expressão de genes codificadores e não codificadores de proteína de um conjunto de 42 amostras de tecido tumoral de câncer de próstata de pacientes de amostras de pacientes submetidos à prostatectomia radical, com longo acompanhamento clínico (cinco anos) e conhecida evolução da doença Nós utilizamos microarranjos por nós desenhados e fabricados pela Agilent sob encomenda, interrogando aproximadamente 18.709 transcritos não codificadores longos (>500 nt), sem evidência de splicing, que mapeiam em regiões intrônicas dentro de 5.660 loci genômicos. Os dados de expressão foram extraídos de cada arranjo, normalizados entre todas as 42 amostras de pacientes. Usando uma estratégia de múltipla amostragem, foi identificado um perfil de expressão de mau prognóstico, contendo 51 transcritos intrônicos não codificadores de proteína. O perfil prognóstico de ncRNAs foi aplicado a um conjunto teste independente de 22 pacientes, classificando corretamente 82% das amostras. Uma análise de Kaplan-Meier dos pacientes do conjunto teste indicou que as curvas de sobrevida dos grupos de alto e baixo risco foram significativamente distintas (Log-rank test p = 0,0009; Hazard ratio = 23,4, 95% CI = 3,62 a 151,2), confirmando assim que este classificador é útil para identificar pacientes com alto risco de recorrência. Além disso, estas descobertas indicam um potencial papel destes RNAs intrônicos não codificadores na progressão do tumor de próstata e apontam para os RNAs intrônicos como potenciais novos marcadores de câncer / Prostate cancer is the fifth most common type of cancer in the world, and the most common in men. Clinical and anatomo-pathological factors currently used in clinic are not able to distinguish between the indolent and the aggressive disease. There is a major need of new prognostic makers in order to improve the clinical management of prostate cancer patients. Apart from abnormalities in protein-coding genes, changes in non-coding RNAs (ncRNAs) contribute to the pathogenesis of cancer and thus represent another potential source of prostate cancer biomarkers. However, few studies of expression profiles of ncRNAs have been published. This project aimed to identify expression profiles of protein-coding and non-coding genes correlated to prostate cancer biochemical recurrence. For this, we analyzed the expression profile of 42 prostate cancer samples from patients undergoing radical prostatectomy, with long follow-up (five years), and know disease outcome. We used a custom microarray designed by us and printed by Agilent, that probes 18,709 long (>500 nt) ncRNAs mapping to intronic regions within 5,660 genomic loci. The expression data were extracted from each array and normalized across all 42 samples. Using a multiple random sampling validation strategy, we identified an expression profile of poor prognosis, comprising 51 ncRNAs. The prognostic profile of ncRNAs was applied to an independent test set of 22 patients, correctly classifying 82% of the samples. A Kaplan-Meier analysis of the test set of patients indicated that the survival curves of high and low risk groups were significantly different (Log-rank test p = 0.0009, Hazard ratio = 23.4, 95% CI = 3.62 to 151.2) thus confirming that this classifier is useful for identifying patients at high risk of recurrence. Furthermore, these findings indicate a potential role of these intronic non-coding RNAs in the progression of prostate tumors and points to the intronic ncRNAs as potential new markers of cancer.

Leishmania é um gênero de protozoários tripanossomatídeos, dimórficos, causadores das leishmanioses. As espécies do subgênero Viannia, como Leishmania (Viannia) braziliensis, são causadoras da leishmaniose cutânea e cutâneo-mucosa nas Américas Central e do Sul. A regulação da expressão gênica em Leishmania ocorre preferencialmente no nível póstranscricional com a participação de elementos regulatórios de ação cis e trans e proteínas ligantes de RNA. Neste contexto, RNAs não codificadores (ncRNAs) conhecidos por seus papéis regulatórios em diversos organismos, ainda são pouco explorados em Leishmania. Sendo assim, o presente estudo analisou o transcriptoma de L. braziliensis explorando o conteúdo codificador e não codificador do parasita. A investigação de expressão diferencial (DE), incluindo análises de enriquecimento de ontologias gênicas, confirmou padrões de expressão, por categoria funcional, como os já reportados para outras espécies de Leishmania durante o desenvolvimento. No entanto, a avaliação do conjunto desses genes DE, empregando a ortologia como parâmetro, sugeriu uma possível contribuição de genes parálogos para a diversidade entre espécies de Leishmania. Para a análise de ncRNAs, um pipeline desenvolvido por Patrícia C. Ruy possibilitou a identificação e caracterização de 11372 ncRNAs putativos em L. braziliensis. Análises acerca dos padrões de expressão diferencial foi conduzido e trinta e cinco ncRNAs putativos foram categorizados, selecionados e submetidos a Northern blotting para avaliação do tamanho e confirmação do padrão de expressão; seis genes foram selecionados para análises funcionais subsequentes. Para avaliação de uma possível função para os ncRNAs a serem investigados, foram gerados parasitos nocaute de cinco desses ncRNAs. O crescimento dos parasitos nocaute em cultura axênica não foi afetado pela ausência dos genes mas o perfil de infecção de macrófagos in vitro foi afetado em 4 dos 6 transfectantes; sugerindo que os ncRNAs sejam funcionais. Cinco ncRNAs foram submetidos a ensaios de pull-down e o conjunto de proteínas ligantes desses transcritos foi identificada. Esse estudo do transcriptoma de L. braziliensis contribui para o entendimento da modulação da expressão dos genes codificadores de proteínas, revela o conteúdo de ncRNA putativos, sua expressão diferencial durante o seu desenvolvimento e ensaia os primeiros estudos funcionais sobre os últimos / Leishmania is a genus of trypanosomatid protozoan parasites, causative agents of leishmaniases. Viannia sub-genera species as Leishmania (Viannia) braziliensis are the causative agents of cutaneous and muco-cutaneous leishmaniasis in Central and South America. The gene expression in this parasites is regulated via post-transcriptional mecanisms comprising the action of cis and trans regulatory elements and RNA binding proteins. In this context, non coding RNAs poorly explored as putative factors involved in regulation of gene expression in Leishmania must be investigated. In this study the transcriptome of coding and ncRNAs of L. braziliensis were analysed. Differential expression analysis, including gene ontology enrichment analysis, during the parasite development revealed the expected paterns for gene expression in Leishamnia spp. A comparative analysis, considering up-regulated genes suggested a contribution of paralogues genes to diversity between Leishmania. spp. To uncover putative ncRNAs, a computational pipeline was previous designed identifying and characterizing 11,372 putative ncRNAs in L. braziliensis, allowing a classification into different ncRNAs classes. The differential expression analysis revealed similar patterns to those observed for protein coding genes. Thirty-five putative ncRNAs were categorized, selected and subjected to Northern blotting being 6 of them selected to functional analysis. These selected group was investigated conducting and stablishing knockout lines, that revealed phenotypic differences concerning diminishing in promastigote growth and in vitro macrophage infection, suggesting possible functional roles of ncRNAs in L. braziliensis. Finnaly, the protein interactions of these ncRNAs were revealed and must be explored in the future to uncover possible regulatory roles of this ncRNAs until now, putative in L. braziliensis. This work represents an outline of L. braziliensis transcriptome contributing to improve the understanding of coding and noncoding RNA content in the parasite

Argonaute proteins are small DNA/RNA-guided endonucleases found in all domains of life. In animals, small RNAs of length 21–35 nucleotides direct the PIWI-clade of Argonautes to silence complementary target RNAs; these are called PIWI-interacting RNAs (piRNAs). During spermatogenesis in mice, piRNA-guided PIWI proteins, MIWI2, MILI, and MIWI, silence transposons, regulate expression of protein-coding genes and are necessary for fertility. A working endonuclease activity of MIWI and MILI is essential to complete spermatogenesis. Yet, both MIWI and MILI produce weak and slow target cleavage in vitro, thwarting biochemical examination of the silencing step. Here, we find that PIWI proteins require an auxiliary protein to efficiently cleave their targets, unlike any other known Argonaute. Gametocyte Specific Factor 1 (GTSF1) is a conserved zinc-finger protein essential for fertility and piRNA-directed silencing. We show GTSF1 accelerates the pre-steady-state rate of target cleavage by MIWI and MILI; this role of GTSF1 is also preserved in insects. A critical step in GTSF1 mechanism entails binding RNA. GTSF1 allowed detailed kinetic analyses of catalytic PIWIs: they require extensive 3′ complementarity between the guide and target to efficiently cleave them, but this base-pairing also limits turnover. Interestingly, within a species, different PIWI proteins have unique kinetic properties. In sum, our findings provide molecular mechanisms of GTSF1 function and target silencing by PIWIs as well as a useful method for future studies.

Non-coding RNAs (ncRNAs) account for a higher percent of the genome than coding mRNAs, and are implicated in human disease such as cancer, neurological, cardiac and many others. While the majority of ncRNAs involved in disease were originally attributed to a class of RNAs called micro RNAs (miRNAs) with a small size of only about 19 -24 base pairs, emerging research has now demonstrated a class of long non-coding RNAs (lncRNAs) that have a size of over 200 base pairs to be responsible for gene regulation and other functional roles and have also found to contribute to pathogenesis in humans. The increased size and structural complexity require novel tools to study their interactions beyond RNA interference. Synthetic antibodies are classic tools and therapeutics utilized to study and treat proteins involved in human disease. Likewise we hypothesize that structured RNAs can also take advantage of synthetic antibodies to probe their functions and be utilized as therapeutics. Currently, antibodies have been raised against microbial riboswitches and other structured RNAs of single-celled organisms, and only one human structured RNA to the best of our knowledge. However, no one has yet to create a synthetic antibody capable of behaving as a therapeutic against a structured RNA. We therefore sought to raise an antibody Fab against a structured RNA, human initiator tRNA, a model oncogenic non-coding RNA and demonstrate its efficacy in vitro. We then characterized the antibody and explored delivery options in cancer cells including the use of nanoparticle delivery systems. With the emerging transcriptome revealing new ncRNAs implicated in human disease, our research has begun to address a new therapeutic strategy, laying down the foundation for the future of structured RNA-targeted therapies.

Variations in drug metabolism may alter drug efficacy and cause toxicity; better understanding of the mechanisms and risks shall help to practice precision medicine. At the 21st International Symposium on Microsomes and Drug Oxidations held in Davis, California, USA, in October 2-6, 2016, a number of speakers reported some new findings and ongoing studies on the regulation mechanisms behind variable drug metabolism and toxicity, and discussed potential implications to personalized medications. A considerably insightful overview was provided on genetic and epigenetic regulation of gene expression involved in drug absorption, distribution, metabolism, and excretion (ADME) and drug response. Altered drug metabolism and disposition as well as molecular mechanisms among diseased and special populations were presented. In addition, the roles of gut microbiota in drug metabolism and toxicology as well as long non-coding RNAs in liver functions and diseases were discussed. These findings may offer new insights into improved understanding of ADME regulatory mechanisms and advance drug metabolism research. (C) 2017 Chinese Pharmaceutical Association and Institute of Materia Medica, Chinese Academy of Medical Sciences. Production and hosting by Elsevier B.V.

Background: Small nucleolar RNAs (snoRNAs) are one of the most ancient families amongst non-protein-coding RNAs. They are ubiquitous in Archaea and Eukarya but absent in bacteria. Their main function is to target chemical modifications of ribosomal RNAs. They fall into two classes, box C/D snoRNAs and box H/ACA snoRNAs, which are clearly distinguished by conserved sequence motifs and the type of chemical modification that they govern. Similarly to microRNAs, snoRNAs appear in distinct families of homologs that affect homologous targets. In animals, snoRNAs and their evolution have been studied in much detail. In plants, however, their evolution has attracted comparably little attention. Results: In order to chart the phylogenetic distribution of individual snoRNA families in plants, we applied a sophisticated approach for identifying homologs of known plant snoRNAs across the plant kingdom. In response to the relatively fast evolution of snoRNAs, information on conserved sequence boxes, target sequences, and secondary structure is combined to identify additional snoRNAs. We identified 296 families of snoRNAs in 24 species and traced their evolution throughout the plant kingdom. Many of the plant snoRNA families comprise paralogs. We also found that targets are well-conserved for most snoRNA families. Conclusions: The sequence conservation of snoRNAs is sufficient to establish homologies between phyla. The degree of this conservation tapers off, however, between land plants and algae. Plant snoRNAs are frequently organized in highly conserved spatial clusters. As a resource for further investigations we provide carefully curated and annotated alignments for each snoRNA family under investigation.

Transcription lies at the centre of gene expression. In eukaryotes, transcription occurs not only at genes but also across the non-coding portion of the genome, an apparently pervasive process that gives rise to a wide array of different transcripts. In recent years, it has emerged that genes themselves are frequently subject to non-coding transcription of their antisense strand. This antisense transcription is evident in eukaryotes from yeast to mammals; however its general genome-wide role, if indeed it has one, remains elusive. Here, the nature of antisense transcription in the budding yeast Saccharomyces cerevisiae is explored on a genome-wide scale. Antisense transcription is ubiquitous and often abundant, and appears to be driven by a promoter architecture at the 3’ end of genes, one which shows evidence of regulation, and which mirrors that found at the 5’ end. Furthermore, antisense transcription shows evidence of changing gene behaviour. It is associated with a drastically altered chromatin environment at the 5’ promoter and across the gene body; however it is not associated with a change in the level of gene transcription itself. Rather, these chromatin changes appear to enforce a change in the mode of gene transcription, promoting rapid bursts of transcription re-initiation that result in noisier gene expression – a hitherto unknown role of antisense transcription. It is proposed that antisense transcription represents a fundamental layer of gene regulation, and that it should be considered a canonical feature of eukaryotic genes.

Genome-wide studies in Saccharomyces cerevisiae have revealed that the majority of the genome is transcribed on both strands, producing both coding and non-coding RNAs (ncRNAs). Initially, these ncRNAs were regarded as spurious transcripts but some have since been shown to have important roles as transcriptional regulators. Very little is understood about how ncRNAs are initiated, terminated and processed or how this influences their function. To address these questions, the expression, stability, and subcellular localization of the ncRNAs at the endogenous GAL locus was analysed. This revealed a complex interleaved transcript map, challenging the conventional view of a transcription unit (TU) flanked by 5’ sequences or promoters (P) that initiate transcription and 3’ regions, known as terminators (T), which control events such as transcript cleavage, polyadenylation, export and transcription termination. By creating conventional (PGAL-T) or unconventional (PGAL-P) hybrid TUs at the GAL locus, in which a promoter or terminator is positioned downstream of a galactose-inducible promoter, this work shows that both promoters and terminators are able to initiate antisense transcription to yield stable antisense transcripts. The data suggest that terminators contribute to efficient but variable expression from the promoter. An unconventional P-P TU, lacking a terminator, is transcribed on both strands but the sense transcript remains at low levels, through the repressive action of antisense transcription, and is retained in the nucleus. In contrast, the conventional P-T bi-directional TUs are plastic, with the Rrp6 component of the nuclear exosome and TATA-like sequences in the 3’ UTR determining whether the predominant transcript is antisense or sense. By relieving the repressive action of antisense transcription, this allows high levels of sense transcript to accumulate in the cytoplasm, contributing to gene expression, supporting a novel mode of gene regulation involving components of RNA quality control pathways acting through the 3’ region of genes.

Prostate cancer is the second most common cancer in the United States that affects men today. To better treat this disease accurate biomarkers and successful therapeutic treatments are needed. A novel approach to understand the mechanisms behind prostate cancer tumor formation lies in identifying dysregulated micro-RNAs (miRNAs), which are a class of small (18-24 nucleotides) non-coding RNAs that regulate gene expression posttranscriptionally by either inhibiting protein synthesis or signaling messenger-RNA for degradation. Multiple miRNAs were discovered in our highly tumorigenic and metastatic prostate cancer progression model M12 cell line compared to its weakly tumorigenic P69 parental cell line. Various analyses such as human panel analyses, single-miR analyses and patient tumor biopsy samples were analyzed to determine dysregulated miRNAs that contributed to the progression and metastasis of prostate cancer. Together with performing experiments to identify miRNAs, a de novo next generation sequencing approach was applied to identify miRNAs naturally present in biological fluids of normal and healthy subjects. Since, these miRNAs are highly dysregulated in many diseases, including cancer, they can act as potential biomarkers or therapeutic targets to improve treatments for prostate cancer. Essential miRNAs studied for this research were miR-17-3p that is known to target the ErbB2 mRNA; miR-299-5p that directly targets osteopontin (OPN) mRNA, and miR-147b that directly targets many mRNAs, such as COL4A2, ALDH5A1, NDUFA4, SDHD, and IER5. A wide range of miRNAs were identified in six biological fluids: venous blood, menstrual blood, vaginal fluid, semen, saliva, and feces. There were some miRNAs that were common to all 6 body fluids, some unique to each body fluid, and some miRNAs that literature suggested could potentially be biomarkers or normalizers for body fluid characterization.

Dans la première partie j'ai analysé des jeux de données de RNA-seq de transcriptome de petits ARNs disponibles dans les bases de données publiques. J'y ai observé 2 points intrigants : - une grande partie des lectures (bien que courtes) ne peux pas être alignée sur le génome de référence sans discordance et cette fraction non-alignable est parfois majoritaire. - de nombreuses lectures ont des tailles autours de 15-18nt qui ne correspondent à aucun type de petits ARNs connues, cette fraction est également majoritaires dans certains cas. Ces expériences sont souvent conçues pour la détection des miRNAs et l'analyse bioinformatique de ces données passent toujours par un alignement sur le génome de référence ou sur des séquences connues pour donner des petits ARNs. J'ai donc simplement éliminé la contrainte d'alignement dans l'analyse de ces données et effectué un regroupement des lectures par similarité (à la manière des ESTs). Ce regroupement donne une vision différente des données dans laquelle la notion de position génomique n'est plus centrale et ouvre la possibilité d'y découvrir des phénomènes non-standard. La deuxième partie est tirée d'une collaboration avec le laboratoire U675 INSERM. J'ai fait l'analyse bioinformatique des gènes dérégulés par la répression par RNAi du gène REST dans une lignée de neuroblastome de souris (N18). Ce gène est un facteur de transcription qui réprime les gènes neuronaux dans les cellules non neuronales. Ce répertoire de gènes dérégulés est potentiellement constitué de gènes clefs dans la biologie des neurones. / In first part of this thesis I have analysed small RNA-seq transcriptome data. I have noticed : - a large fraction of reads can't be aligned perfectly on reference genome - lot of reads are very short (15-18 nt) and don't match on previously known functionnal small RNAs. These experiments are designed for miRNA discovery and bioinformatics analysis of these data use alignments on genome or on known small RNA precursors sequences. I have eliminated the alignment and I have clustered these sequences. This clustering let me to observe these data with a new view in wich the genomic location is not central and open the gate to discover unconventional events. The second part is the analysis of deregulate genes by the silencing of the gene REST/NRSF in mouse N18 cell line. This gene is a transcription factor and it works as a repressor of neuronal genes in non neuronal cells. This deregulate genes repertoire potentially contains key genes in neuron biology. We found in this repertoire a network of genes centered on SWI/SNF complex including SMARCA2. This gene was associated to schizophrenia (SZ) in association studies and structural variation studies. In this network we found another genes associated to SZ. We show that these genes exhibit positive evolution in primate compare to rodents.