Dissertations / Theses on the topic 'Long non-coding RNAs (IncRNAs)'
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Molina, Elsa. "An investigation into the relationships between novel Y chromosome-linked long non-coding RNAs and coronary artery disease." Thesis, Federation University Australia, 2016. http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/102986.
Full textDoctor of Philosophy
Merry, Callie R. "Long Non-coding RNAs in Cancer." Case Western Reserve University School of Graduate Studies / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=case1467828387.
Full textCabili, Nataly Moran. "Integrative Characterization of Human Long Non-Coding RNAs." Thesis, Harvard University, 2014. http://dissertations.umi.com/gsas.harvard:11409.
Full textVučićević, Dubravka [Verfasser]. "Diverse regulatory functions of long non-coding RNAs / Dubravka Vučićević." Berlin : Freie Universität Berlin, 2017. http://d-nb.info/1137509899/34.
Full textBussotti, Giovanni 1983. "Detecting and comparing non-coding RNAs." Doctoral thesis, Universitat Pompeu Fabra, 2013. http://hdl.handle.net/10803/128970.
Full textEn los últimos años el interés en el campo de los ARN no codificantes ha crecido mucho a causa del enorme aumento de la cantidad de secuencias no codificantes disponibles y a que muchos de estos transcriptos han dado muestra de ser importantes en varias funciones celulares. En este contexto, es fundamental el desarrollo de métodos para la correcta detección y comparativa de secuencias de ARN. Alinear nucleótidos es uno de los enfoques principales para buscar genes homólogos, identificar relaciones evolutivas, regiones conservadas y en general, patrones biológicos importantes. Sin embargo, comparar moléculas de ARN es una tarea difícil. Esto es debido a que el alfabeto de nucleótidos es más simple y por ello menos informativo que el de las proteínas. Además es probable que para muchos ARN la evolución haya mantenido la estructura en mayor grado que la secuencia, y esto hace que las secuencias sean poco conservadas y difícilmente comparables. Por lo tanto, hacen falta nuevos métodos capaces de utilizar otras fuentes de información para generar mejores alineamientos de ARN. En esta tesis doctoral se ha intentado dar respuesta exactamente a estas temáticas. Por un lado desarrollado un nuevo algoritmo para detectar relaciones de homología entre genes de ARN no codificantes evolutivamente lejanos. Por otro lado se ha hecho minería de datos mediante el uso de datos ya disponibles para descubrir nuevos genes y generar perfiles de ARN no codificantes en todo el genoma.
Schneider, Hugo Wruck. "Distinguishing long non-coding RNAs from protein coding transcripts based on machine learning techniques." reponame:Repositório Institucional da UnB, 2017. http://repositorio.unb.br/handle/10482/31264.
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Dentre as análises que devem ser realizadas nos projetos de sequenciamento, um problema importante é a distinção entre transcritos codificadores de proteinas (PCTs) e RNAs nãocodificadores longos (lncRNAs). Esse trabalho investiga potenciais características dos lncRNAs e propõe dois métodos para distinção dessas duas classes de transcritos (PCTs e lncRNAs). O primeiro método foi proposto com base em máquinas de vetores de suporte (SVM), enquanto o segundo utilizou técnicas de aprendizado semi-supervisionado. O mé- todo utilizando SVM obteve excelentes resultados, quando comparados a outras propostas existentes na literatura. Esse método foi treinado e testado com dados de humanos, camundongos e peixe-zebra, tendo atingido uma acurácia de ≈ 98% com dados de humanos e camundongos, e de ≈ 96% para os dados do peixe-zebra. Ainda, foram criados modelos utilizando várias espécies, que mostraram classificações melhores para outras espécies diferentes daquelas do treinamento, ou seja, mostraram boa capacidade de generalização. Para validar esse método, foram utilizados dados de ratos, porcos e drosófilas, além de dados de RNA-seq de humanos, gorilas e macacos. Essa validação atingiu uma acurácia de mais de 85%, em todos os casos. Por fim, esse método foi capaz de identificar duas sequências dentro do Swiss-Prot que puderam ser reanotadas. O método baseado em aprendizado semi-supervisionado foi treinado e testado com dados de humanos, camundongos, ornitorrincos, galinhas, gambás, orangotangos e rãs, tendo sido utilizadas cinco técnicas de aprendizado semi-supervisionado. A contribuição desse método foi que ele permitiu a redução do tamanho do conjunto de dados classificados, utilizados no treinamento. No melhor caso, somente 2 sequências bem anotadas foram usadas no treinamento, o que, comparado com outras ferramentas disponíveis na literatura, indica um ganho expressivo. A acurácia obtida pelo método nos melhores casos foram de ≈ 95% para dados de humanos e camundongos, ≈ 90% para dados de galinhas, gambás e orangutangos, e ≈ 80% para dados de ornitorrincos e rãs. Dados de RNA-seq foram utilizados para teste, tendo sido obtida acurácia de mais de 95%. Esses dados foram utilizados para treinamento dos modelos de orangotango e de rã, que também apresentaram acurácias excelentes.
Among the analyses that have to be performed in sequencing projects, an important problem to be addressed is the distinction of protein coding transcripts (PCTs) and long non-coding RNAs (lncRNA). This work investigates potential characteristics of the lncRNAs and proposes two methods for distinguishing these two classes of transcripts (PCTs and lncRNAs). The first methods was based on Support Vector Machine (SVM), while the second one used semi-supervised learning techniques. The SVM based method obtained excellent results when compared to other methods in the literature. This method was trained and tested with data from human, mouse and zebrafish, and reached accuracy of ≈ 98% for human and mouse data, and ≈ 96% for zebrafish data. Besides, models with multiple species were created, which improved the classification for species different from those used in the training phase, i.e., these models could also be used in the classification of species different from those that were used in the training phase. To validate this method, data from rat, pig and drosophila, and RNA-seq data from humans, gorillas and macaque were used. This validation reached an accuracy of more than 85% for all the species. Finally, this method was able to identify two sequences within the Swiss-Prot database that were reannotated. The semi-supervised based method was trained and tested with data from human, mouse, platypus, chicken, opossum, orangutan and xenopus, in five semi-supervised learning techniques. The contribution of this method was the reduction of the size of the classified training data set. In the best scenario, only two annotated sequences were used in the training phase, which is an expressive gain when compared to other tools available in the literature. Accuracies obtained by the method in the best cases were ≈ 95% for human and mouse datasets, ≈ 90% for chicken, opossum and orangutan datasets, and ≈ 80% for data platypus and xenopus datasets. RNA-seq data were used for testing, having obtained more than 95% of accuracy. This data was used to train the orangutan and xenopus models, also leading to an excellent accuracy.
de, Bony Eric James. "Novel insights into the function and regulation of coding and long non-coding RNAs." Doctoral thesis, Universite Libre de Bruxelles, 2018. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/268600.
Full textDoctorat en Sciences biomédicales et pharmaceutiques (Médecine)
info:eu-repo/semantics/nonPublished
Alvarez, Juan (Juan Rene Alvarez Dominguez). "Modulation of lineage-specific cell differentiation by long non-coding RNAs." Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/97280.
Full textThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student submitted PDF version of thesis.
Includes bibliographical references.
Mammalian genomes comprise thousands of non-protein-coding genes. These can produce small non-coding RNAs (such as rRNAs and tRNAs), as well as long non-coding RNAs (lncRNAs), which are >200nt and resemble mRNAs in their biogenesis. Although the functions of the vast majority of lncRNAs remain unknown, many are tissue- and developmental stage-specific, suggesting roles in lineage-specific development. We generated deep transcriptome surveys from differentiating mouse red blood cells, and implemented a computational strategy for de novo lncRNA discovery to comprehensively catalog erythroid-expressed lncRNAs. We found >100 previously unannotated loci, many of which are erythroid-specific and are induced by key erythroid transcription factors during differentiation. We exploited these features to select 12 candidates for loss-of-function studies, and found that depleting 10 out of 12 impaired red cell maturation, inhibiting cell size reduction and subsequent enucleation. To study how lncRNAs regulate erythropoiesis, we focused on EC6, an unpolyadenylated lncRNA needed for silencing neighboring loci encoding NF-kB activators. De-repression of these genes upon EC6 knockdown leads to activation of NF-kB and other immune pathways that antagonize erythropoiesis, resulting in impaired proliferation and elevated apoptosis during differentiation. We showed that EC6 is retained in chromatin and binds the nuclear matrix factor hnRNP U, which may enable co-localization with its targets to mediate their repression. Extending our work to a different lineage, we reconstructed transcriptomes from distinct mouse adipose tissues and identified ~1500 lncRNAs. These included many brown fat-specific loci induced during differentiation which are targets of key adipogenic factors. Inhibiting one of them, lnc-BATE1, compromised brown adipocyte development, impairing activation of brown fat genes, mitochondrial biogenesis, and thermogenic function. We showed that lnc-BATE1 acts in trans and binds hnRNP U, which is also required for proper brown adipocyte maturation. This work demonstrates that lncRNAs modulate lineage-specific cell differentiation by promoting or suppressing competing gene expression programs controlling cell fate.
by Juan Alvarez.
Ph. D.
Chen, Li. "Functional and evolutionary characterization of flowering-related long non-coding RNAs." Doctoral thesis, Humboldt-Universität zu Berlin, 2021. http://dx.doi.org/10.18452/22833.
Full textGenome-wide efforts have identified a large number of long non-coding RNAs (lncRNAs), although their potential functions remain largely enigmatic. Here, we used a system for synchronized floral induction in Arabidopsis to identify 4106 flower-related long intergenic RNAs (lincRNAs). Flower-related lincRNAs are typically associated with functional enhancers which are bi-directionally transcribed and are associated with diverse functional gene modules related to floral organ development revealed by co-expression network analysis. The master regulatory transcription factors (TFs) APETALA1 (AP1) and SEPALLATA3 (SEP3) bind to lincRNA-associated enhancers. The binding of these TFs is correlated with the increase in lincRNA transcription and potentially promotes chromatin accessibility at enhancers, followed by activation of a subset of target genes. Furthermore, the evolutionary dynamics of lincRNAs in plants including non-flowering plants still remain to be elusive and the expression pattern in different plant species was quite unknown. Here, we identified thousands of lincRNAs in 26 plant species including non-flowering plants, and allow us to infer sequence conserved and synteny based homolog lincRNAs, and explore conserved characteristics of lincRNAs during plants evolution. Direct comparison of lincRNAs reveals most lincRNAs are species-specific and the expression pattern of lincRNAs suggests their high evolutionary gain and loss. Moreover, conserved lincRNAs show active regulation by transcriptional factors such as AP1 and SEP3. Conserved lincRNAs demonstrate conserved flower related functionality in both the Brassicaceae and grass family. The evolutionary landscape of lincRNAs in plants provide important insights into the conservation and functionality of lincRNAs.
Coyne, Victoria. "Characterization of long non-coding RNAs in the Hox complex of Drosophila." Thesis, University of Manchester, 2017. https://www.research.manchester.ac.uk/portal/en/theses/characterization-of-long-noncoding-rnas-in-the-hox-complex-of-drosophila(733e3dec-3f7b-4d6e-a1bc-674a8786246d).html.
Full textPettini, Tom. "The role of novel long non-coding RNAs in Hox gene regulation." Thesis, University of Manchester, 2013. https://www.research.manchester.ac.uk/portal/en/theses/the-role-of-novel-long-noncoding-rnas-in-hox-gene-regulation(c8e44900-3ac0-40be-8ec6-b50179381d17).html.
Full textKarlsson, Joakim. "Differential and co-expression of long non-coding RNAs in abdominal aortic aneurysm." Thesis, Uppsala universitet, Institutionen för biologisk grundutbildning, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-236141.
Full textJavad, F. "Long non-coding RNAs as regulators of human microtubule-associated protein tau (MAPT)." Thesis, University College London (University of London), 2016. http://discovery.ucl.ac.uk/1531024/.
Full textChen, Li [Verfasser]. "Functional and evolutionary characterization of flowering-related long non-coding RNAs / Li Chen." Berlin : Humboldt-Universität zu Berlin, 2021. http://d-nb.info/1233678590/34.
Full textBogu, Gireesh K. 1984. "Understanding the transcriptional landscape of non-coding genome in mammals." Doctoral thesis, Universitat Pompeu Fabra, 2017. http://hdl.handle.net/10803/572043.
Full textUna gran parte del genoma de mamiefores se expresa en forma de ARNs y se conoce hoy en dia que una gran parte de estos transcritos son no codificantes llamados lncRNAs y que contienen elementos repetitivos. En ratones, estos han sido identificados recientemente en un número limitado de tejidos y líneas celulares. Esta tesis presenta un trabajo exhaustivo de estudio de lnRNAs en ratón en ocho tejidos y una línea celular. En este trabajo se descubrieron 2803 nuevos lncRNAs a los cuáles se les asignó una función reguladora (asociados a promotores o activadores “enhancers”) en el genoma usando datos del estado de la cromatina. Asimismo, más de la mitad del genoma humano contiene elementos repetitivos. Desafortunadamente no se conoce el patrón de expresión de estos elementos repetitivos en los tejidos mamíferos. Como miembros del proyecto GTEx (GenotypeviTissue Expression), analizamos la expresión de estos elementos repetitivos en 8,551 muestras de polyA RNA-Seq en 53 tejidos de 550 individuos. Encontramos que muchas familias de elementos repetitivos son expresadas en tejidos específicos en varios individuos, y representan una característica peculiar de la identidad de cada tejido en humanos.
Hawkes, Emily. "Conservation and function of COOLAIR long non-coding RNAs in Brassica flowering time control." Thesis, University of East Anglia, 2017. https://ueaeprints.uea.ac.uk/67797/.
Full textGadekar, Veerendra Parsappa. "Functional exploration of antisense long non-coding RNAs containing transposable elements : a bioinformatics approach." Thesis, Open University, 2016. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.701364.
Full textHewitt, Rachael Nicole. "Investigation of the role of long non-coding RNAs in oncogene induced cellular senescence." Thesis, University of Glasgow, 2015. http://theses.gla.ac.uk/7143/.
Full textNowicki-Osuch, Karol Piotr. "Identification and characterisation of long non-coding RNAs expressed downstream of EGF-induced signalling programme." Thesis, University of Manchester, 2016. https://www.research.manchester.ac.uk/portal/en/theses/identification-and-characterisation-of-long-noncoding-rnas-expressed-downstream-of-egfinduced-signalling-programme(fd52d235-1a50-4347-bdb1-fdba4fdb912d).html.
Full textBertrand, Claire. "Long non-coding RNAs in cancer : the role of HOTAIR in Epithelial-to-Mesenchymal Transition." Thesis, Paris 6, 2014. http://www.theses.fr/2014PA066632/document.
Full textThe human genome is pervasively transcribed into thousands of non-coding transcripts. Numerous studies underline the diversity and importance of long non-coding RNAs (lncRNAs) in genome regulation and their impact on development and diseases. Processes of cancer progression are extensively studied, in particular the Epithelial-to-Mesenchymal Transition (EMT) that enables epithelial cancer cells to invade other tissues to form metastases. If several lncRNAs have been associated with EMT, their molecular function is not clearly defined. Using a well-established in vitro cell model of EMT and high-throughput RNA sequencing approaches, we defined a catalogue of annotated and novel lncRNAs significantly deregulated between epithelial and mesenchymal states of HEK cells. Among them, we identified HOTAIR, linked to cancer metastasis and described as a scaffold RNA guiding chromatin-modifying complexes PRC2 and LSD1/CoREST/REST. Using loss- and gain-of-function approaches, we showed that HOTAIR is not an inducer of the EMT per se but a major regulator of cell proliferation rate, migratory and invasive capacities. We generated stable cell-lines over expressing HOTAIR transcripts lacking PRC2- or LSD1-interacting domains. Transcriptome analysis and phenotypic studies showed that LSD1-binding domain is crucial for HOTAIR-mediated gene regulation. Altogether, our results give new insights into lncRNAs role in EMT, with a better understanding of HOTAIR-mediated gene regulation mechanism and its role in the acquisition of a metastatic phenotype by cancer cells. Further studies will be performed to deeper investigate lncRNAs role in EMT, particularly for previously unannotated lncRNAs
Nelson, Andrew D. L., Upendra K. Devisetty, Kyle Palos, Asher K. Haug-Baltzell, Eric Lyons, and Mark A. Beilstein. "Evolinc: A Tool for the Identification and Evolutionary Comparison of Long Intergenic Non-coding RNAs." FRONTIERS MEDIA SA, 2017. http://hdl.handle.net/10150/624658.
Full textMarques, Lucas Farinazzo. "Busca e análise de lncRNA (long non-coding RNAs) importantes para a tolerância ao etanol em Saccharomyces cerevisiae." Botucatu, 2019. http://hdl.handle.net/11449/191041.
Full textResumo: A levedura Saccharomyces cerevisiae é o microrganismo mais utilizado para a produção de etanol devido a sua alta capacidade fermentativa e resistência aos estresses oriundos desse processo. Entretanto, a própria concentração de etanol é um dos fatores mais limitantes no processo de produção desse combustível. Os aspectos da genômica funcional relacionada à tolerância ao etanol são ainda pouco esclarecidos, e nem mesmo se sabe se os lncRNAs tem papel nesse processo. Poucos lncRNAs foram identificados em S. cerevisiae, e nem mesmo se conhece as redes lncRNAs-proteínas nessa espécie e nem se podem codificar micropeptídeos. Nesse contexto, este trabalho visa identificar lncRNAs em linhagens de S. cerevisiae com diferentes níveis de tolerância ao etanol. Para isso, foi realizado a montagem dos lncRNAs, predição de ligações lncRNA-proteínas, buscas de micropepetídeos, análises de conservação genômica, estrutural e funcional dos lncRNAs, avaliação da influência do lncRNAs em regular as expressões de seus vizinhos e comparação dos resultados entre linhagens mais e menos tolerantes ao etanol. As análises de enriquecimento ontológico apontam para uma relação próxima entre os lncRNAs e a tolerância ao etanol e uma conservação funcional, embora os dados não reportem nenhuma conservação nem genômica nem estrutural. Além disso, variados tipos de prováveis regulações foram sugeridas, sendo a regulação em trans majoritariamente inversa entre os lncRNAs e seus genes-alvo, diferentemente da ma... (Resumo completo, clicar acesso eletrônico abaixo)
Abstract: The yeast Saccharomyces cerevisiae is the most used microorganism for ethanol production due to its high fermentative capacity and resistance to different stressors along this process. However, the ethanol concentration is one of the most limiting factors of fuel production. The functional genomics aspects related to the ethanol tolerance are still unclear, and it is not clear if the lncRNAs really have a role in this process. Few lncRNAs were identified in S. cerevisiae, lncRNA-protein networks of this species are still unknown and also if they can code micropeptides. In this context, this thesis aims to identify lncRNAs and evaluate their roles in S. cerevisiae ethanol tolerance. Then, it was performed the assembling of lncRNAs, predictions of lncRNA-protein interactions, searches for potential micropeptides coding-lncRNAs, analysis of genomic, structural and functional conservation of lncRNAs, evaluation of the lncRNAs influence in regulating the expressions of their neighbors, and comparison between strains that are more and less tolerant to the ethanol. Moreover, many putative regulatory pathways were here suggested, being that most trans regulations act on an inversely manner between the expression of the lncRNAs and their target-genes, unlike observed in most of cis regulations. The current literature confirms the lncRNAs functional conservation here observed, and the role of these non-coding molecules as regulators. Finally, here we suggest that lncRNAs are acting to ... (Complete abstract click electronic access below)
Mestre
Chakraborty, Debojyoti. "Systematic dissection of long non coding RNAs involved in the regulation of embryonic stem cell pluripotency." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2014. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-134658.
Full textAl-Mnaseer, Zainab Ahmed Mustafa. "Investigation into the role of the long non-coding RNAs NEAT1 and MIAT in breast cancer." Thesis, Keele University, 2018. http://eprints.keele.ac.uk/4541/.
Full textSurappa-Narayanappa, Ananth Prakash. "The evolution, modifications and interactions of proteins and RNAs." Thesis, University of Cambridge, 2017. https://www.repository.cam.ac.uk/handle/1810/269851.
Full textAznaourova, Marina [Verfasser], and Leon [Akademischer Betreuer] Schulte. "Long non-coding RNAs involved in myeloid cell differentiation and macrophage activation / Marina Aznaourova ; Betreuer: Leon Schulte." Marburg : Philipps-Universität Marburg, 2021. http://d-nb.info/1232405868/34.
Full textTachtsidi, Alexandra. "Nuclear organization and regulation of gene expression in mouse Embryonic Stem Cells by long non-coding RNAs." Electronic Thesis or Diss., Sorbonne université, 2018. http://www.theses.fr/2018SORUS444.
Full textThe nucleus is a highly structured organelle and long non-coding RNAs (lncRNAs) have been shown to be involved in nuclear organization by establishing and maintaining nuclear compartmentalization, by the formation of subnuclear domains or the establishment of long range interactions in the nuclear space. A robust approach for the identification of “nuclear organizers” molecules is currently lacking though. We established an experimental approach that would allow us to identify such “structural” lncRNAs on a genome-scale level. Based on the biochemical property of some nuclear organizing lncRNAs to resist the so called nuclear matrix preparation, where DNA and soluble molecules are largely removed, we performed nuclear matrix preps on mouse Embryonic Stem Cells (mESCs), purified the RNA fraction and explored its constituents by RNA-seq. We identified a subset of transcripts (non-extracted RNAs, nextRNAs) potentially involved in the functional organization of the nucleus. Notably, we detected previously non-annotated transcripts with our original RNA-seq datasets and focused our work on two of them: NextC1 (Next Candidate 1) and 2. We characterized them on a functional and phenotypical level by monitoring their expression profile in different culturing conditions and embryo-derived cell types. Their subcellular localization was assessed by RNA-FISH. Loss- and gain-of-function assays were performed targeting their promoter regions with the CRISPR/Cas9 system for genome editing and CRISPR-derived systems for transcription inhibition or activation. Many of these functional assays were subsequently RNA-sequenced and an integrative data analysis is currently ongoing
Basu, Swaraj. "Conservation and synteny of long non-coding RNAs in vertebrate genomes and their identification in novel transcriptomes." Thesis, Open University, 2013. http://oro.open.ac.uk/54717/.
Full textFurió, Tarí Pedro. "Development of bioinformatic tools for massive sequencing analysis." Doctoral thesis, Universitat Politècnica de València, 2020. http://hdl.handle.net/10251/152485.
Full text[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
Wagner, Simone [Verfasser], and Bettina [Akademischer Betreuer] Kempkes. "Identification of cellular long non-coding RNAs regulated by the EBV nuclear antigen EBNA2 / Simone Wagner ; Betreuer: Bettina Kempkes." München : Universitätsbibliothek der Ludwig-Maximilians-Universität, 2019. http://d-nb.info/1199265721/34.
Full textHadjicharalambous, Marina. "Characterisation of the role of long non-coding RNAs in lung fibroblasts from control and idiopathic pulmonary fibrosis patients." Thesis, University of Bath, 2018. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.767572.
Full textRay, Mridula Kumari. "Long non-coding RNAs interact with PRC1 to impact Polycomb group protein recruitment and expression of Polycomb regulated genes." Thesis, Harvard University, 2013. http://dissertations.umi.com/gsas.harvard:11246.
Full textUroda, Tina. "Caractérisation structurale et fonctionnelle de l’ARN long non codant MEG3." Thesis, Université Grenoble Alpes (ComUE), 2019. http://www.theses.fr/2019GREAV014.
Full textLong non-coding RNAs (lncRNAs) are key players in vital cellular processes, including chromatin remodelling, DNA repair and translation. However, the size and complexity of lncRNAs present unprecedented challenges for mechanistic molecular studies, so that connecting structural information with biological function for lncRNAs has proven difficult so far.Human maternally expressed gene 3 (MEG3) is an abundant, imprinted, alternatively-spliced lncRNA. During embryogenesis MEG3 controls Polycomb proteins, regulating cell differentiation, and in adult cells MEG3 controls p53, regulating the cellular response to environmental stresses. In cancerous cells, MEG3 is downregulated, but ectopic overexpression of MEG3 reduces uncontrolled proliferation, proving that MEG3 acts as a tumour suppressor. Evidence suggests that MEG3 functions may be regulated by the MEG3 structure. For instance, MEG3 is thought to bind p53 and Polycomb proteins directly. Moreover, different MEG3 splice variants, which comprise different exons and thus possess potentially different structures, display different functions. Finally, deletion mutagenesis based on a MEG3 structure predicted in silico identified a putatively-structured MEG3 motif involved in p53 activation. However, at the beginning of my work, the experimental structure of MEG3 was unknown.To understand the MEG3 structure and function, I used chemical probing in vitro and in vivo to determine the secondary structure maps of two human MEG3 variants that differ in their p53 activation levels. Using functional assays in cells and mutagenesis, I systematically scanned the MEG3 structure and identified the p53-activating core in two domains (D2 and D3) that are structurally conserved across human variants and evolutionarily conserved across mammals. In D2-D3, the most important structural regions are helices H11 and H27, because in these regions I could tune p53 activation even by point mutations, a degree of precision never achieved for any other lncRNA to date. I surprisingly discovered that H11 and H27 are connected by “kissing loops”, and I confirmed the functional importance of these long-range tertiary structure interactions by compensatory mutagenesis. Going beyond state-of-the-art, I thus attempted to visualize the 3D structure of a 1595-nucleotide long MEG3 isoform by small angle X-ray scattering (SAXS), electron microscopy (EM), and atomic force microscopy (AFM). While SAXS and EM are limited by currently-insurmountable technical challenges, single particle imaging by AFM allowed me to obtain the first low resolution 3D structure of MEG3 and reveal its compact, globular tertiary scaffold. Most remarkably, functionally-disrupting mutations that break the H11-H27 “kissing loops” disrupt such MEG3 scaffold, providing the first direct connection between 3D structure and biological function for an lncRNA.Based on my discoveries, I can therefore propose a structure-based mechanism for p53 activation by human MEG3, with important implications in understanding carcinogenesis. More broadly, my work serves as proof-of-concept that lncRNA structure-function relationships can be dissected with high precision and opens the field to analogous studies aimed to gain mechanistic insights into many other medically-relevant lncRNAs
Amaral, Murilo Sena. "Identificação de RNAs longos não-codificadores de proteínas regulados por micro-RNAs." Universidade de São Paulo, 2013. http://www.teses.usp.br/teses/disponiveis/46/46131/tde-22102014-102412/.
Full textRecent studies have revealed that the largest fraction of the transcripts generated in human cells is composed of non-protein coding RNAs (ncRNAs). A portion of these RNAs encompasses the class of short RNAs, which are less than 200 nucleotides in length. Micro-RNAs (miRNAs) are part of this class and are of great interest, as they are predicted to target over 60% of the human messenger RNAs (mRNAs). Another class of ncRNAs is composed of long ncRNAs (lncRNAs, longer than 200 nucleotides), which are transcribed from intergenic and intronic regions of the human genome and have several functions, many of them related to the control of the mRNA expression. Recently, the structure and function of lncRNAs have been characterized. However, little is known about the mechanisms involved in lncRNA regulation. This work aimed to evaluate whether lncRNAs are regulated by miRNAs in human cells. For this purpose, we identified lncRNAs bound to the RNA-induced silencing complex (RISC) in HeLa cells using a method developed here for the generation of strand-specific cDNA libraries for large scale RNA-sequencing in the 454/Roche plataform. In parallel, we sequenced the miRNAs bound to RISC in these cells. Our results show that hundreds of lncRNAs from diverse classes are bound to RISC in HeLa cells, along with thousands of mRNAs and several hundred miRNAs. Among the miRNAs we identified 37 that are predicted to target the detected lncRNAs. These miRNAs are possible regulators of the lncRNAs, and therefore our work establishes an experimental map of direct interactions between lncRNAs and miRNAs. The lncRNA TUG1, a lincRNA involved in the regulation of genes related to apoptosis and cell cycle, was identified among the lncRNAs bound to RISC. We showed by miRNA over-expression and qPCR that TUG-1 is regulated by the miRNA-148b, which is one of the miRNAs detected in our sequencings and has a binding site highly conserved in mammals located at the TUG1 3` end. Taken together, our results contribute to the understanding of the regulation of the lncRNA expression levels in human cells and open perspectives for the modulation of miRNAs as a strategy to regulate the levels and functions of lncRNAs.
Hösler, Nadine. "Bedeutung nicht-kodierender RNAs im Immunsystem." Doctoral thesis, Universitätsbibliothek Leipzig, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-174927.
Full textKuo, Chao-Chung [Verfasser], Filho Ivan Gesteira [Akademischer Betreuer] Costa, Martin [Akademischer Betreuer] Zenke, and Björn [Akademischer Betreuer] Usadel. "Computational detection of triple helix binding domains in long non-coding RNAs / Chao-Chung Kuo ; Ivan Gesteira Costa Filho, Martin Zenke, Björn Usadel." Aachen : Universitätsbibliothek der RWTH Aachen, 2019. http://d-nb.info/1211487601/34.
Full textKuo, Chao-Chung Verfasser], Filho Ivan Gesteira [Akademischer Betreuer] [Costa, Martin [Akademischer Betreuer] Zenke, and Björn [Akademischer Betreuer] Usadel. "Computational detection of triple helix binding domains in long non-coding RNAs / Chao-Chung Kuo ; Ivan Gesteira Costa Filho, Martin Zenke, Björn Usadel." Aachen : Universitätsbibliothek der RWTH Aachen, 2019. http://d-nb.info/1211487601/34.
Full textNeumann, Philipp [Verfasser], Michaela [Akademischer Betreuer] Müller-McNicoll, Stefanie [Gutachter] Dimmeler, and Michaela [Gutachter] Müller-McNicoll. "Identification and characterization of hypoxia-regulated long non-coding RNAs in endothelial cells / Philipp Neumann ; Gutachter: Stefanie Dimmeler, Michaela Müller-McNicoll ; Betreuer: Michaela Müller-McNicoll." Frankfurt am Main : Universitätsbibliothek Johann Christian Senckenberg, 2018. http://d-nb.info/1208248731/34.
Full textBürger, Matheus Carvalho. "Análise transcricional de RNAs não codificadores longos em pacientes com dengue." Universidade de São Paulo, 2017. http://www.teses.usp.br/teses/disponiveis/95/95131/tde-24012018-214001/.
Full textDengue fever is a systemic viral infection that can manifest clinically in a variety of ways, from mild fever to potentially fatal conditions such as hemorrhage and shock syndrome. Several studies have already been published investigating the global changes in expression that occur during the evolution of the disease in these different clinical settings. However, none of these studies analyzed the role of long non-coding RNAs (lncRNAs) in disease progression. In this project, we performed a meta-analysis of transcriptome data obtained from these dengue studies and focused on the expression of lncRNAs and their possible mechanisms of gene regulation. Dozens of lncRNAs have been identified whose expression increases or decreases in patients infected with dengue compared to healthy individuals. Through guilty-by-association analysis, we identified several lncRNAs that possibly regulate protein coding genes. Our results provide evidence of novel regulatory mechanisms between lncRNAs and mRNAs.
Yu, Ai-Ming, Magnus Ingelman-Sundberg, Nathan J. Cherrington, Lauren M. Aleksunes, Ulrich M. Zanger, Wen Xie, Hyunyoung Jeong, et al. "Regulation of drug metabolism and toxicity by multiple factors of genetics, epigenetics, lncRNAs, gut microbiota, and diseases: a meeting report of the 21 st International Symposium on Microsomes and Drug Oxidations (MDO)." INST MATERIA MEDICA, CHINESE ACAD MEDICAL SCIENCES, 2017. http://hdl.handle.net/10150/623278.
Full textChakraborty, Debojyoti [Verfasser], Frank [Akademischer Betreuer] Buchholz, and Francis [Akademischer Betreuer] Stewart. "Systematic dissection of long non coding RNAs involved in the regulation of embryonic stem cell pluripotency / Debojyoti Chakraborty. Gutachter: Francis Stewart ; Frank Buchholz. Betreuer: Frank Buchholz." Dresden : Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2014. http://d-nb.info/1068445300/34.
Full textYunusov, Dinar. "Characterization of HIPSTR highlights the heterogeneous expression pattern of lncRNAs in human embryos and stable cell lines." Universidade de São Paulo, 2016. http://www.teses.usp.br/teses/disponiveis/46/46131/tde-22082016-083421/.
Full textTem sido cada vez mais reconhecido que a transcrição dos genomas eucarióticos produz múltiplos transcritos novos, anteriormente não detectados e ainda não caracterizados, sendo que a maioria é constituida de RNAs não-codificantes longos (lncRNAs) regulatórios. Estudos recentes estão focados principalmente nos lncRNAs transcritos de regiões intergênicas e enhancers; assim, o grupo dos lncRNAs antisenso permanece o menos estudado de todos. Ao mesmo tempo, a transcrição antisenso ocorre em até 74% dos loci de genes humanos, frequentemente - a partir da fita oposta de genes que codificam proteínas envolvidas na regulação da transcrição. No presente trabalho, nós identificamos HIPSTR (Heterogeneously expressed from the Intronic Plus Strand of the TFAP2A-locus RNA), um lncRNA novo conservado que é transcrito a partir da fita antisenso do gene TFAP2A. Ao contrário do anteriormente relatado para os lncRNAs antisenso, a expressão de HIPSTR não está correlacionada com a expressão do gene da fita oposta. HIPSTR e TFAP2A são co-expressos em células da crista neural e em trofoblastos derivadas in vitro, mas somente HIPSTR e não TFAP2A está especificamente expresso num subconjunto de células de embriões humanos nos estágios de 8-células e mórula. Mostramos que, semelhante a HIPSTR, a expressão de lncRNAs é mais altamente heterogênea que a expressão de mRNAs em células individuais de embriões humanos em desenvolvimento ou em linhagens estáveis de células. Finalmente, nós demonstramos que a depleção de HIPSTAR em células HEK293 e H1BP, uma linhagem de células tronco embrionárias humanas, afeta predominantemente os níveis de genes envolvidos no início do desenvolvimento do organismo e na diferenciação de células. No conjunto, nós mostramos que a expressão de HIPSTR e de centenas de outros lncRNAs é altamente heterogênea em embriões humanos e linhagens celulares. Usamos HIPSTR para exemplificar a relevância funcional de lncRNAs com padrões de expressão heterogêneos e estágio-de-desenvolvimento específicos.
Robinson, Emma. "Control of cardiac remodelling during ageing and disease by epigenetic modifications and modifiers." Thesis, University of Cambridge, 2018. https://www.repository.cam.ac.uk/handle/1810/275733.
Full textMilitti, Cristina 1982. "Drosophila UNR regulates dosage compensation through modulation of RNA-protein interactions." Doctoral thesis, Universitat Pompeu Fabra, 2013. http://hdl.handle.net/10803/283476.
Full textIn Drosophila, the imbalance in X-linked gene content between females (XX) and males (XY) is restored through the 2-fold hypertranscription of the single male X-chromosome. This process, which is called dosage compensation, is mediated by the action of the dosage compensation complex (DCC), a ribonucleoprotein assembly composed of at least five proteins (MSL1, MSL2, MSL3, MLE and MOF) and two long non-coding RNAs (roX1 and roX2). Two features are essential for correct dosage compensation: the specific recognition of the X-chromosome by the DCC and the confinement of the DCC function to the male organism. The RNA binding protein Upstream of N-ras (UNR) is involved in the regulation of these two processes and we have dissected the molecular mechanisms by which this regulation occurs. We have found that, in male flies, UNR promotes dosage compensation by facilitating the association of roX2 with MLE, which is required for correct DCC formation and X-chromosome targeting. In female flies, UNR represses dosage compensation in part by enhancing the binding of SXL to the 3’UTR of msl2 mRNA, thus ensuring tight msl2 translational repression and subsequent inhibition of DCC formation.
Riquier, Sébastien. "Dans les abysses du transcriptome : découverte de nouveaux biomarqueurs de cellules souches mésenchymateuses par analyse approfondie du RNAseq." Thesis, Montpellier, 2019. http://www.theses.fr/2019MONTT004.
Full textThe development of RNA sequencing, or RNAseq, have opened the path of intensive biomarkers research in many areas of biology. The complete information of the transcriptome contained in the output data, allows a bioinformatician to surpass the current knowledge and to access, thanks to advanced computer pipelines, to signatures of new interest. In this thesis, we are showing that these potential markers, classically used in clinical and pathological conditions, can be used to characterize cell types without extensive markers profile. We have studied mesenchymal stem cells, a type of adult multipotent stem cells, strongly used in clinics but without strickly specific positive markers. Our study mainly focuses on the search for non-annotated, long non-coding RNAs. These RNAs, also called "lncRNA", constitute an emerging class of transcripts and are still lightly explored.In addition, this category presents a highly tissue-related specificity. We have developed an optimized RNAseq pipeline for the reconstruction and quantification of non-annotated lncRNAs.Using public data from RNAseq, coming from different sources of MSC and other cell types, we have identified new non-annotated lncRNAs clearly and specifically expressed in MSCs. to complete this project, we developed Kmerator.jl, a bioinformatical tool that allows to decompose a transcript in k-mer, and select specific sub-sequences, in order to search and quantify at a faster rate the signature of our candidates in a large number of RNAseq dataset. After validation of these new biomarkers of MSCs by qPCR, we used several computer tools to predict their potential functions. Finally, we analyzed single-cell RNAseq data to address the heterogeneity of expression within MSC populations
Sutaria, Dhruvitkumar S. "INVESTIGATION OF DIFFERENTIALLY EXPRESSED NONCODING RNAS IN PANCREATIC DUCTAL ADENOCARCINOMA." The Ohio State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=osu1480550158159039.
Full textTran, Van Giang. "Régulation de l'expression du gène Igf2 : nouveaux promoteurs et implication de longs ARN non-codants." Thesis, Montpellier 2, 2014. http://www.theses.fr/2014MON20022/document.
Full textIn mammals, the expression of the Igf2 gene, which is subject to parental genomic imprinting, is tightly regulated during embryonic development and the perinatal period through several transcriptional and post-transcriptional mechanisms. These mechanisms are involving long non-coding RNAs (lncRNAs) produced within the locus; among them the best known is probably the H19 RNA. Using a genetic complementation assay consisting in transfections of an H19 transgene into H19 KO myoblasts, we discovered several novel Igf2 promoters in the mouse. One of these promoters, that is conserved in the human, can be activated by ectopic H19 antisens RNAs (91H lncRNAs) despite a complete methylation of the Imprinting-Control Region located in cis on the same allele. We also show that the 91H lncRNAs possess some tissue-specific features and that their transcription can be initiated from the CS4, CS5 and CS9 conserved sequences located downstream of the H19 gene. On the other hand, the H19 RNA, that is the major lncRNA of the locus, appears to regulate its antisense transcripts in H19 KO myoblasts complemented with the H19 transgene, but its major function seems to be in regulating post-transcriptionally the Igf2 gene expression. Indeed, we have observed that it favours the endoribonucleolytic cleavage of the Igf2 messenger RNAs through a mechanism that remains to be elucidated. Finally, we reveal the existence of a premature transcriptional elongation stop of the Igf2 gene, for which we propose a regulation model involving another lncRNA of the locus: the PIHit lncRNA. Beyond the mechanisms that remain to be explored, our results strengthen the idea that, in mammals, the three-dimensional organization of the chromatin is involved in regulating gene expression
Chadourne, Manon. "La suppression de Topaz1 perturbe la méiose et l'expression des ARN non-codant longs testiculaires au cours de la spermatogenèse murine. Topaz1, an Essential Gene for Murine Spermatogenesis, Down-Regulates the Expression of Many Testis-Specific Long Non-Coding RNAs." Thesis, université Paris-Saclay, 2021. http://www.theses.fr/2021UPASL021.
Full textTopaz1 (Testis and Ovary specific PAZ domain gene 1), a germ cell specific factor, is a highly conserved gene in vertebrates. The study of the Topaz1-inactivation mouse model demonstrated its essential role for male fertility. The absence of Topaz1 in mutant mice caused spermatogenesis arrest during the first meiotic division. Topaz1-/- spermatocytes, blocked at the end of meiotic prophase I, showed chromosome misalignment along the metaphase I plate. Histological experiments specified that the differences observed between Topaz1-/- and Topaz1+/+ mouse testes appeared between 15 (P15) and 20 (P20) days post-partum. Previously, transcriptomic analyses using a whole-genome expression array indicated that 10% of P20-deregulated genes (DEGs) were long non-coding RNAs (lncRNAs). During this thesis, high throughput transcriptomic analyses (RNAseq) were performed at P16 and P18 in order to better characterise the testicular phenotype of mice lacking the Topaz1 gene. From P16, the testicular transcriptome was disturbed and the DEGs number was multiplied by 10 at P18. Genes associated with centrosome, centriole, microtubule dynamics and spermatogenesis belonged to the most disturbed molecular pathways. Moreover, a quarter of DEGs were lncRNAs. Three of them, deregulated at P16 and P18, were studied by in situ hybridization and molecular biology techniques. They were germ cell specific. Thus, a new mouse model deleted for one of these lncRNAs was generated using CRISPR/Cas9 technology. These mutant mice developed normally and were fertile in both sexes. However, mutant male mice presented a more than 50% decrease in the epididymal sperm concentration as well as a change in motility parameters compared to wild-type mice. New RNAseq analyses were realised to study testicular transcriptome of these mice. These showed that this lncRNA regulates a large number of protein-coding genes (approximately 80% of the DEGs at P18). There again, some of them regulated microtubule dynamics, spermatogenesis and haploid gamete generation.In conclusion, this work shows that the murine Topaz1 gene is therefore essential for the establishment of the bipolar spindle during the transition from late prophase I to metaphase I and its absence prevents the first meiotic division. The deregulation of a significant number of protein-coding genes of the centrosome, microtubule movements and spermatogenesis, as well as the strong repression of lncRNAs expression within mouse testis, suggests that RNAs-proteins complexes are formed during meiosis.In this study, deletion of one of these lncRNA did not affect fertility in mice even though sperm concentration was halved. In men, such a decrease could lead to male infertility. A mutation of the Topaz1 gene in men could also induce non-obstructive azoospermia. The study of RNAs-proteins complexes could represent a new field of investigation in the understanding of infertility, particularly in meiotic regulation
Andric, Vedrana. "Study of the mechanisms of sexual differentiation in the fission yeast Schizosaccharomyces pombe Formation of S. pombe Erh1 homodimer mediates gametogenic gene silencing and meiosis progression A scaffold lncRNA shapes the mitosis to meiosis switch." Thesis, université Paris-Saclay, 2020. http://www.theses.fr/2020UPASL056.
Full textIn the fission yeast S. pombe, a subset of meiosis-specific genes is constitutively transcribed during the mitotic cell cycle. To prevent untimely expression of the meiotic program and premature initiation of sexual differentiation, cells have evolved an RNA degradation system that selectively eliminates the corresponding meiotic transcripts. This process requires the YTH-family RNA-binding protein Mmi1, which recognizes cis-elements within RNA molecules (UNAAAC motifs) and targets them for degradation by the nuclear exosome. At the onset of meiosis, Mmi1 is sequestered in a ribonucleoparticle composed of the RNA-binding protein Mei2 and the long non-coding RNA (lncRNA) meiRNA, thereby allowing expression of meiotic genes and meiosis progression. My PhD work consisted in studying the mechanisms by which Mmi1 promotes the degradation of meiotic transcripts and how its activity is regulated during both the mitotic and meiotic cell cycles. During vegetative growth, Mmi1 tightly associates with the evolutionarily conserved Erh1 protein to form the heterotetrameric Erh1-Mmi1 complex (EMC) that is essential for the degradation of meiotic transcripts. Using biochemical and structural approaches, we have shown that Erh1 assembles as a homodimer in vitro and in vivo, consistent with recent analyses. Mutations that disrupt Erh1 homodimerization but preserve interaction with Mmi1 result in the accumulation of meiotic transcripts due to inefficient binding of Mmi1 to its RNA targets. Erh1 homodimerization is also required for Mmi1 luring by the Mei2-meiRNA complex and meiosis progression. Thus, EMC assembly is essential for the recognition and degradation of meiotic transcripts by Mmi1 in mitotic cells and contributes to Mmi1 inactivation at meiosis onset. Previous work showed that, during vegetative growth, Mmi1 recruits the conserved Ccr4-Not complex to ubiquitinylate and downregulate a pool of its own inhibitor Mei2, thereby maintaining its activity in meiotic RNA degradation. We have identified a lncRNA, different from meiRNA and termed mamRNA (Mmi1- and Mei2-associated RNA), to which Mmi1 associates to target Mei2 to the Ccr4-Not complex. Conversely, when Mei2 downregulation is impaired, mamRNA is necessary for Mmi1 inactivation by increased Mei2 levels. Single molecule RNA FISH experiments also indicated that mamRNA localizes to a nuclear body enriched in Mmi1, suggesting that the mutual control of Mmi1 and Mei2 is spatially confined. mamRNA can also take over meiRNA to inhibit Mmi1 and promote meiosis progression. Therefore, mamRNA emerges as a critical regulator of Mmi1 and Mei2 activities to fine tune meiotic RNA degradation and shape the mitosis to meiosis transition
Laugier, Laurie. "Identification de marqueurs de susceptibilité dans les formes chroniques de la maladie de Chagas." Thesis, Aix-Marseille, 2017. http://www.theses.fr/2017AIXM0226.
Full textChagas disease is a parasitic disease caused by the protozoan Trypanosoma cruzi and transmitted by the hematophagous insects. The disease is composed by acute and chronic phases. Among the infected individuals, 30 % develop chronic form. They suffer from heart, digestive (esophagus, colon) and cardiodigestives injury. Our study was focused on patients with dilated chagasic cardiomyopathy (CCC). Our goal is to identify susceptibility genes that may be involved in the development of chronic forms. Our study revealed a variation in the expression of certain genes between CCC group and controls. We are also interested in epigenetic processes that can regulate the expression of genes. A study of the DNA methylation crossed with the transcriptome allowed us to identify genes presenting both variations in expression and methylation. For some of these genes we demonstrated that methylation is responsible for the expression variation observed. Finally, we studied a long non-coding RNA called MIAT. Our study demonstrated that it is overexpressed in CCC compared to controls and in a murine model infected by T. cruzi. Furthermore, the analysis of the expression of micro-RNAs crossed with transcriptome analysis allowed us to identify several micro-RNAs whose functions are essential in the regulation of gene expression. Finally, a proteomic study allowed us to demonstrate an increase in the production of protein for certain genes, correlated with the increase in expression levels observed