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<p> Until a little over a decade ago, the regulatory roles of small RNAs (sRNAs) in prokaryotes were largely undetected. Since then, there has been an explosion in the discovery of novel sRNA sequences and we have begun to understand their functions and mechanisms of regulation. The identification and characterization of sRNAs from different organisms have largely been achieved through computational and experimental approaches that focus on sequence elements in intergenic regions. Based on these previously established techniques, we have developed and applied a new bioinformatics approach to search for highly conserved sequences in unannotated intergenic regions from several bacterial genomes, which may contain new sRNA sequences. Through this search, we have identified seven candidate sequences that are conserved at the primary sequence level, and some of the secondary structure motifs are also conserved among multiple bacteria genomes. When we examined those seven candidates experimentally, it was found that when the expression of one mutated candidate (rUIG0803 _ 4D) was induced at the RNA level, minor morphological changes and a delayed lethal phenotype was elicited. The expression of the RNA also may result in the altered expression of kanamycin kinase and glycerol kinase, as indicated by the mass spectrometry data. Experimental characterizations of eight previously identified sRNAs from literature with functions unknown have also been performed but no apparent phenotypic phenomenon was observed in this project, which indicated that all or some of those 8 sRNAs might not play any regulatory roles in cells, or their roles need to be characterized through other genetic screens. To further search for RNA sequences with regulatory functions, we created a library of random DNA transcript using the Lambda Phage genomic DNA. Preliminary screening efforts show that three of the 192 clones screened could trigger reduced cell growth when their RNA was overexpressed. This study marks the first use of a bioinformatics approach that uses primary sequence and secondary structure information to search for sRNAs in the unannotated intergenic region. Moreover it also marks the first time that the effects of introducing random lambda phage RNA in an E. coli host. </p> / Thesis / Master of Science (MSc)

[EN] Transcriptomics is one of the most important and relevant areas of bioinformatics. It allows detecting the genes that are expressed at a particular moment in time to explore the relation between genotype and phenotype. Transcriptomic analysis has been historically performed using microarrays until 2008 when high-throughput RNA sequencing (RNA-Seq) was launched on the market, replacing the old technique. However, despite the clear advantages over microarrays, it was necessary to understand factors such as the quality of the data, reproducibility and replicability of the analyses and potential biases. The first section of the thesis covers these studies. First, an R package called NOISeq was developed and published in the public repository "Bioconductor", which includes a set of tools to better understand the quality of RNA-Seq data, minimise the impact of noise in any posterior analyses and implements two new methodologies (NOISeq and NOISeqBio) to overcome the difficulties of comparing two different groups of samples (differential expression). Second, I show our contribution to the Sequencing Quality Control (SEQC) project, a continuation of the Microarray Quality Control (MAQC) project led by the US Food and Drug Administration (FDA, United States) that aims to assess the reproducibility and replicability of any RNA-Seq analysis. One of the most effective approaches to understand the different factors that influence the regulation of gene expression, such as the synergic effect of transcription factors, methylation events and chromatin accessibility, is the integration of transcriptomic with other omics data. To this aim, a file that contains the chromosomal position where the events take place is required. For this reason, in the second chapter, we present a new and easy to customise tool (RGmatch) to associate chromosomal positions to the exons, transcripts or genes that could regulate the events. Another aspect of great interest is the study of non-coding genes, especially long non-coding RNAs (lncRNAs). Not long ago, these regions were thought not to play a relevant role and were only considered as transcriptional noise. However, they represent a high percentage of the human genes and it was recently shown that they actually play an important role in gene regulation. Due to these motivations, in the last chapter we focus, first, in trying to find a methodology to find out the generic functions of every lncRNA using publicly available data and, second, we develop a new tool (spongeScan) to predict the lncRNAs that could be involved in the sequestration of micro-RNAs (miRNAs) and therefore altering their regulation task. / [ES] La transcriptómica es una de las áreas más importantes y destacadas en bioinformática, ya que permite ver qué genes están expresados en un momento dado para poder explorar la relación existente entre genotipo y fenotipo. El análisis transcriptómico se ha realizado históricamente mediante el uso de microarrays hasta que, en el año 2008, la secuenciación masiva de ARN (RNA-Seq) fue lanzada al mercado y comenzó a desplazar poco a poco su uso. Sin embargo, a pesar de las ventajas evidentes frente a los microarrays, resultaba necesario entender factores como la calidad de los datos, reproducibilidad y replicabilidad de los análisis así como los potenciales sesgos. La primera parte de la tesis aborda precisamente estos estudios. En primer lugar, se desarrolla un paquete de R llamado NOISeq, publicado en el repositorio público "Bioconductor", el cual incluye un conjunto de herramientas para entender la calidad de datos de RNA-Seq, herramientas de procesado para minimizar el impacto del ruido en posteriores análisis y dos nuevas metodologías (NOISeq y NOISeqBio) para abordar la problemática de la comparación entre dos grupos (expresión diferencial). Por otro lado, presento nuestra contribución al proyecto Sequencing Quality Control (SEQC), una continuación del proyecto Microarray Quality Control (MAQC) liderado por la US Food and Drug Administration (FDA) que pretende evaluar precisamente la reproducibilidad y replicabilidad de los análisis realizados sobre datos de RNA-Seq. Una de las estrategias más efectivas para entender los diferentes factores que influyen en la regulación de la expresión génica, como puede ser el efecto sinérgico de los factores de transcripción, eventos de metilación y accesibilidad de la cromatina, es la integración de la transcriptómica con otros datos ómicos. Para ello se necesita generar un fichero que indique las posiciones cromosómicas donde se producen estos eventos. Por este motivo, en el segundo capítulo de la tesis presentamos una nueva herramienta (RGmatch) altamente customizable que permite asociar estas posiciones cromosómicas a los posibles genes, transcritos o exones a los que podría estar regulando cada uno de estos eventos. Otro de los aspectos de gran interés en este campo es el estudio de los genes no codificantes, especialmente los ARN largos no codificantes (lncRNAs). Hasta no hace mucho, se pensaba que estos genes no jugaban ningún papel fundamental y se consideraban como simple ruido transcripcional. Sin embargo, suponen un alto porcentaje de los genes del ser humano y se ha demostrado que juegan un papel crucial en la regulación de otros genes. Por este motivo, en el último capítulo nos centramos, en un primer lugar, en intentar obtener una metodología que permita averiguar las funciones generales de cada lncRNA haciendo uso de datos ya publicados y, en segundo lugar, generamos una nueva herramienta (spongeScan) que permite predecir qué lncRNAs podrían estar secuestrando determinados micro-RNAs (miRNAs), alterando así la regulación llevada a cabo por estos últimos. / [CA] La transcriptòmica és una de les àrees més importants i destacades en bioinformàtica, ja que permet veure quins gens s'expressen en un moment donat per a poder explorar la relació existent entre genotip i fenotip. L'anàlisi transcriptòmic s'ha fet històricament per mitjà de l'ús de microarrays fins l'any 2008 quan la tècnica de seqüenciació massiva d'ARN (RNA-Seq) es va fer pública i va començar a desplaçar a poc a poc el seu ús. No obstant això, a pesar dels avantatges evidents enfront dels microarrays, resultava necessari entendre factors com la qualitat de les dades, reproducibilitat i replicabilitat dels anàlisis, així com els possibles caires introduïts. La primera part de la tesi aborda precisament estos estudis. En primer lloc, es va programar un paquet de R anomenat NOISeq publicat al repositori públic "Bioconductor", el qual inclou un conjunt d'eines per a entendre la qualitat de les dades de RNA-Seq, eines de processat per a minimitzar l'impact del soroll en anàlisis posteriors i dos noves metodologies (NOISeq i NOISeqBio) per a abordar la problemàtica de la comparació entre dos grups (expressió diferencial). D'altra banda, presente la nostra contribució al projecte Sequencing Quality Control (SEQC), una continuació del projecte Microarray Quality Control (MAQC) liderat per la US Food and Drug Administration (FDA) que pretén avaluar precisament la reproducibilitat i replicabilitat dels anàlisis realitzats sobre dades de RNA-Seq. Una de les estratègies més efectives per a entendre els diferents factors que influïxen a la regulació de l'expressió gènica, com pot ser l'efecte sinèrgic dels factors de transcripció, esdeveniments de metilació i accessibilitat de la cromatina, és la integració de la transcriptómica amb altres dades ómiques. Per això es necessita generar un fitxer que indique les posicions cromosòmiques on es produïxen aquests esdeveniments. Per aquest motiu, en el segon capítol de la tesi presentem una nova eina (RGmatch) altament customizable que permet associar aquestes posicions cromosòmiques als possibles gens, transcrits o exons als que podria estar regulant cada un d'aquests esdeveniments regulatoris. Altre dels aspectes de gran interés en aquest camp és l'estudi dels genes no codificants, especialment dels ARN llargs no codificants (lncRNAs). Fins no fa molt, encara es pensava que aquests gens no jugaven cap paper fonamental i es consideraven com a simple soroll transcripcional. No obstant això, suposen un alt percentatge dels gens de l'ésser humà i s'ha demostrat que juguen un paper crucial en la regulació d'altres gens. Per aquest motiu, en l'últim capítol ens centrem, en un primer lloc, en intentar obtenir una metodologia que permeta esbrinar les funcions generals de cada lncRNA fent ús de dades ja publicades i, en segon lloc, presentem una nova eina (spongeScan) que permet predeir quins lncRNAs podríen estar segrestant determinats micro-RNAs (miRNAs), alterant així la regulació duta a terme per aquests últims. / Furió Tarí, P. (2020). Development of bioinformatic tools for massive sequencing analysis [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/152485 / TESIS

Non-protein coding eukaryotic genome sequences often referred to as junk DNA are estimated to encode several non-coding RNAs (ncRNAs) which may account for nearly 98% of all genomic output in humans. The output of such a wide spread transcription in eukaryotes consists of intronic, antisense and small RNAs. In addition to the classical ncRNAs such as rRNA, tRNA and small nucleolar RNAs, the eukaryotic genome encodes two distinct categories of ncRNAs, referred to as small ncRNAs and long mRNA–like ncRNAs (mlncRNAs). The long ncRNAs, which are transcribed by RNA Polymerase II, spliced and polyadenylated, are implicated in a number of regulatory processes such as imprinting, X-chromosome inactivation, DNA demethylation, transcription, RNA interference, chromatin structure dynamics and antisense mediated regulation. Expression of noncoding RNAs is altered during stress conditions and a large number of such transcripts have been identified of late. This study has identified a novel ncRNA whose expression is upregulated during viral infection of mouse brain. While we have named this RNA as VINC or virus inducible ncRNA, others have named it as NEAT1 (Hutchinson et al., 2007) and Men (Sunwoo et al., 2008). VINC/NEAT1/Men is associated with a distinct nuclear domain called paraspeckles Using a cell line as well as an animal model system we have investigated VINC in great detail and based on these studies we report that VINC is a nuclear ncRNA that localizes to paraspeckles and it interacts with the paraspeckle protein, P54nrb in both cell line model system as well as in animal tissues by a combination of in vitro and in vivo methods. We have also mapped the domains within VINC that are involved in P54nrb interactions. Till date, the only other RNA known to localise to paraspeckles is CTN-RNA. While CTN-RNA is a protein coding RNA, VINC does not code for a protein and thus VINC is the first ncRNA to be localized to paraspeckles. Further, the mechanism of nuclear retention of these two paraspeckle RNAs appears to be distinct. In case of CTN-RNA, it has been clearly shown that it is A-I edited and such hyperedited RNAs are retained by the p54/nrb mediated complex in nucleus (Zhang and Carmichael, 2001). However the mechanism by which VINC is retained in nucleus is not clear. There is apparently no A-I editing in VINC and hence VINC retention in the nucleus by binding to nuclear proteins such as p54/nrb might involve a different mechanism. It is well established of late that nuclear matrix retains RNAs and that there is a population of poly (A) RNA that is retained in nucleus (Huang et al.,1994 ; Carter et al.,1991). However the significance of such retention is not clear but it is believed that it might be important for some constitutive functions in nucleus (Nickerson et al., 1989). More investigations are needed to understand the exact functions of nuclear RNAs such as VINC in supporting the nuclear architecture. P54nrb is a multi functional nuclear protein that mediates most of its functions in association with PSF (Shav-Tal and Zipori, 2002). Phosphorylation status of P54nrb is a key determinant for its localisation to various nuclear regions. P54nrb is a multiphosphorylated protein during mitosis and its phosphorylation is mediated by PIN-1 at its C-terminus (Proteau et al., 2005). Tyrosine phosphorylation of P54nrb is essential for it to be retained in nuclear matrix (Otto et al., 2001). The N-terminal phosphorylation is speculated but not much has been investigated. The protein has two distinct RNA recognition motifs (RRMs) in its N-terminus that are responsible for its RNA binding activity. The significance of the p54/nrb-PSF heterodimer cannot be undermined as they have been shown to be important during HIV replication. The dimer is recruited by viral machinery and P54nrb has been shown to be exported to cytosol for binding to replicative complexes (Zolotukhin et al., 2003). During adenoviral replication in nucleus many SR proteins are recruited to viral replication foci and rearrangement of speckle components happen. It has been shown with respect to speckles that nuclear domains are highly dynamic and exchange of proteins depends upon the transcriptional status of cell (Lamond and Spector, 2003). Flaviviral replication complexes are hosted in nucleus and ~20% of this complex docks in nucleus and serves as an alternate site for viral replication. The presence of viral replicative complexes alters the nuclear organisation and hence modulation of gene expression is expected (Uchil et al., 2006). The up regulation of nuclear ncRNA such as VINC is definitively one of those events associated with viral replication and definitively one needs to study the various changes carefully to understand the role of VINC in virus life cycle and/or viral pathogenesis. VINC interaction with the multi-functional nuclear protein P54nrb raises interesting aspects related to function of P54nrb in JEV infection. Knockdown of P54nrb in human myeloid cell line results in abnormal size of paraspeckles and impairs chondrogenesis (Hata et al., 2008). PSF-P54nrb complex can divert many of HIV gag RNA complexes to paraspeckles thus trying to restrict viral replication. However the exact relationship between paraspeckles and its constituent proteins is not clear. The presence of ncRNA adds another new dimension to paraspeckles. It is unclear whether the ncRNA VINC is essential for paraspeckle structure but a recent study indicates that Men (VINC/NEATI) RNA may be essential for paraspeckle formation (Sunwoo et al., 2008). The exact function VINC in neuronal as well as non-neuronal cell nuclei remains elusive and more investigations are need to understand these aspects.

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.

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.

A visao sobre o dogma central da biologia molecular passou por aperfeicoamentos na virada deste seculo. Muito se deve ao interesse por pesquisas feitas para compreensao do que ate entao eram regioes do genoma conhecidas como DNA Lixo. Neste contexto, projetos de transcriptoma, avancos em tecnologias de sequenciamento, bem como analises em bioinformatica, contribuiram para elucidar o que estava sendo transcrito. Tais regioes foram denominadas como RNAs nao-codificadores ou non-coding RNA (ncRNA) que eram transcritas, mas nao traduzidas em proteinas. Apesar da quantidade de metodos para o estudo in silico dos ncRNAs, existem lacunas a serem preenchidas nas pesquisas desta molecula, tais como: metodos de anotacao em geral, caracterizacao de novas classes e mecanismos alternativos de busca por similaridade de sequencia primaria. Alem disso, nao se havia uma ferramenta que reunisse num unico local as informacoes dos bancos de dados publicos de ncRNA disponiveis. Neste trabalho, buscou-se preencher tais lacunas, contribuindo para o desenvolvimento de metodos computacionais nas pesquisas em ncRNAs. Foram utilizados os genomas de Hymenoptera e Diptera como sistema biologico para aplicar e testar os metodos desenvolvidos. / The classical vision of the central dogma of molecular biology was not changes dramatic until the end of the 20th century. At this time the scientific communities were interesting to understand what have in the regions of the genome known as \"Junk DNA\". Transcriptome projects together with sequencing Technologies anda bioinformatics analysis help to elucidate that this transcripts were regions that do not coding proteins and maybe has function. These transcripts are called non-coding RNA (ncRNA). Although there are a lot of computational approaches to the in silico research of ncRNA, there is a gap of research about this molecule such: approaches to the general annotation of ncRNA; identification of new classes of ncRNA; and alternatives search mechanisms of ncRNA. Besides that, there are not any central repository of public non-coding RNA databases that could help search for the information about it. In this report, we fill this gap. We tried to contributing to the development of computational methods in research on ncRNAs. We also used the Hymenoptera and Diptera genomes as a biological system to apply and test our developed approaches.

S. aureus est une bactérie pathogène opportuniste de l’homme qui pose un grave problème de santé publique. Le pouvoir pathogène de S. aureus est conféré par un très grand nombre de facteurs de virulence, dont l’expression est finement régulée à de multiples niveaux. Les effecteurs de cette régulation sont à la fois des protéines et des ARN non codants (ARNnc) aussi appelés ARN régulateurs. Je me suis concentré au cours de ma thèse sur la classe majoritaire qui sont les ARNnc qui régulent la traduction d’ARNm. Ils sont impliqués dans de complexes réseaux de régulation qui permettent de contrôler la physiologie de la cellule ainsi que sa virulence. Pour élargir nos connaissances de ces réseaux, j’ai développé deux approches méthodologiques, appelées MAPS et Grad-seq, que j’ai appliquées in vivo chez S. aureus en utilisant RsaA et RsaC comme modèles. L’application du MAPS a permis d’identifier de nouvelles cibles directes pour RsaA et des cibles potentielles pour RsaC. L’approche Grad-Seq est un outil puissant mais demande encore des ajustements. J’ai également pu déterminer un rôle probable pour l’ARNnc RsaC dans la régulation de l’homéostasie oxydo-réductive de S. aureus, en lien avec la résistance au stress oxydatif et avec la persistance lors de l’internalisation par les ostéoblastes. / S. aureus is an opportunistic pathogen of the human species which can express a large array of virulence factors whose expression is under tight regulation at multiple levels. The regulation can be done by proteins and by particular molecules of RNA called non-coding RNA (ncRNA). I focused during my thesis on the main category of ncRNA in S. aureus, which are regulating the translation of mRNA. These ARNs are involved in complex regulatory networks, impacting the physiology of the bacterial cell and its virulence. To understand further these networks, I developped two methodological approaches in vivo in S. aureus, called MAPS and Grad-seq, which were applied using RsaA and RsaC as models of studies. MAPS allowed to find new direct targets of RsaA and plausible targets for RsaC. The Grad-Seq method showed to be a powerful tool but still needs refinements. I also could determine a possible role for RsaC in the regulation of oxydo-reductive homeostasis, in direct link with oxydative stress resistance and persistance during internalisation by osteoblasts.

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