Dissertations / Theses on the topic 'MicroRNA analysis'
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Weinstein, Earl G. 1974. "MicroRNA cloning and bioinformatic analysis." Thesis, Massachusetts Institute of Technology, 2002. http://hdl.handle.net/1721.1/8390.
Full textIncludes bibliographical references.
Part I. Two gene-regulatory noncoding RNAs (ncRNAs), let-7 RNA and lin-4 RNA, were previously discovered in the C. elegans genome. The let-7 gene is conserved across a wide range of genomes, suggesting that these ncRNAs represent a wider class of gene-regulatory RNAs. Both lin-4 and let-7 RNAs are generated from stem-loop precursor RNAs, and share a common biochemical signature, namely 5'-terminal phosphate and 3'-terminal hydroxyl groups. We refer to ncRNAs that share the characteristic size, biochemical signature, and precursor structures of let-7 and lin-4 as microRNAs (miRNAs). The size of this class of genes, and its prevalence in other genomes, are unknown. Therefore, we developed an experimental and bioinformatics strategy to identify novel miRNA genes. We discovered a total of 75 miRNA genes in the C. elegans genome, and orthologues for a majority of these were computationally identified in the C. briggsae, D. melanogaster or H. sapiens genomes. Northern analysis was used to confirm and analyze the expression of these miRNAs. The data set has implications for understanding miRNA gene regulation, miRNA processing, and regulation of miRNA genes. Part II. Directed molecular evolution has previously been applied to generate RNAs with novel structures and functions. This method works because nucleic acids can be selected, randomized, amplified and characterized using polymerase chain reaction (PCR)-based methods. Here we present a novel method for extending directed molecular evolution to the realm of peptide selections by linking a peptide to its encoding mRNA.
(cont.) A proof of principle selection for two different peptides indicates that this tRNA should prove useful in discovering more complex protein molecules using directed molecular evolution.
by Earl G. Weinstein.
Ph.D.
Wang, Qi. "Using Imputed Microrna Regulation Based on Weighted Ranked Expression and Putative Microrna Targets and Analysis of Variance to Select Micrornas for Predicting Prostate Cancer Recurrence." Thesis, North Dakota State University, 2014. https://hdl.handle.net/10365/27341.
Full textGoldstein, L. D. "Statistical analysis of microRNA expression and related data." Thesis, University of Cambridge, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.599479.
Full textAlvarez-Saavedra, Ezequiel (Ezequiel Andrès). "Functional analysis of the microRNA genes of C. elegans." Thesis, Massachusetts Institute of Technology, 2008. http://hdl.handle.net/1721.1/42948.
Full textThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Includes bibliographical references (p. 231-252).
MicroRNAs (miRNAs) were discovered in C. elegans during studies of the control of developmental timing. MicroRNAs are a large class of short non-coding RNAs found in many viruses, plants and animals that regulate gene expression through sequence-specific base-pairing with target mRNAs. Initial studies since the identification of many miRNAs only six years ago, have revealed their very diverse roles in biology. Yet, few miRNAs have been studied using loss-of-function mutations. We have generated deletion mutations in 87 miRNA genes in C. elegans, and performed an initial characterization of the 95 miRNA mutants available (86% of known C. elegans miRNAs). We found that the majority of miRNAs are not essential for the viability or development of C. elegans, and mutations in most miRNA genes do not result in grossly abnormal phenotypes. Within species, many miRNAs can be grouped into families according to their sequence similarities. We generated a collection of 12 multiply mutant C. elegans strains that each lacks an entire miRNA family. We found that at least four families display synthetic abnormalities, indicating that miRNAs within a family can have redundant functions. While single mutants are superficially wild-type, mutants deleted for all members of the mir-35 or the mir-51 families show embryonic or early larval lethality, mutants deleted for all members of the mir-58 family show an egglaying defect, and mutants deleted for some members of the let-7 family show defects in developmental timing. We developed a microarray technology suitable for detecting microRNAs and used this microarray to determine the profile of microRNAs expressed in the developing mouse brain. We observed a temporal wave of expression of microRNAs, suggesting that microRNAs play important roles in the development of the mammalian brain.
(cont.) We also performed a systematic expression analysis of 334 samples covering diverse human cancers, using a bead-based flow cytometric miRNA expression profiling method we developed. The miRNA profiles reflect the developmental lineage and differentiation state of the tumors, and reveal a general down-regulation of miRNAs in tumors compared to normal tissues.
by Ezequiel Alvarez-Saavedra.
Ph.D.
Bexon, Kimerley Jane. "Forensic microRNA analysis of body fluids relating to sexual assaults." Thesis, University of Huddersfield, 2017. http://eprints.hud.ac.uk/id/eprint/34347/.
Full textLehrbach, Nicolas John. "Genetic analysis of microRNA mechanisms and functions in C. elegans." Thesis, University of Cambridge, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.609195.
Full textMoriarty, Charlotte M. Harwood. "Functional Analysis of MicroRNA-10b in Breast Carcinoma: A Dissertation." eScholarship@UMMS, 2009. https://escholarship.umassmed.edu/gsbs_diss/426.
Full textWoodcock, M. Ryan. "Network Analysis and Comparative Phylogenomics of MicroRNAs and their Respective Messenger RNA Targets Using Twelve Drosophila species." VCU Scholars Compass, 2010. http://scholarscompass.vcu.edu/etd/155.
Full textBracht, John Russell. "Analysis of lin-4 microRNA biogenesis and function in C. elegans." Diss., [La Jolla] : University of California, San Diego, 2009. http://wwwlib.umi.com/cr/ucsd/fullcit?p3378519.
Full textTitle from first page of PDF file (viewed Oct. 21, 2009). Available via ProQuest Digital Dissertations. Vita. Includes bibliographical references (p. 139-150).
Lopes, Ivani de Oliveira Negrão. "Analysis of microRNA precursors in multiple species by data mining techniques." Universidade de São Paulo, 2014. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-19092014-155038/.
Full textO sequenciamento de pequenos RNAs surgiu recentemente como uma tecnologia inovadora na descoberta de microRNAs (miRNA). Essa tecnologia tem facilitado a descoberta de milhares de miRNAs em um grande número de espécies. No entanto, apesar dos benefícios dessa tecnologia, ela apresenta desafios, como a necessidade de construir uma biblioteca de pequenos RNAs, além do genoma. Diferentemente, métodos computacionais ab initio buscam diretamente no genoma regiões prováveis de conter miRNAs. A maioria desses métodos usam modelos preditivos capazes de distinguir entre os verdadeiros (positivos) e pseudo precursores de miRNA - pre-miRNA - (negativos), os quais são induzidos utilizando técnicas de mineração de dados. No entanto, a aplicabilidade de métodos ab initio da literatura atual é limitada pelas altas taxas de falsos positivos e/ou por outras dificuldades computacionais, como o elevado tempo necessário para calcular um conjunto de atributos. Neste trabalho, investigamos como os principais aspectos envolvidos na indução de modelos preditivos de pre-miRNA afetam o desempenho preditivo. Particularmente, avaliamos a capacidade discriminatória de conjuntos de atributos propostos na literatura, cujos custos computacionais e a composição variam amplamente. Os experimentos computacionais foram realizados utilizando dados de sequências positivas e negativas de 45 espécies, cobrindo espécies de oito filos. Os resultados mostraram que o desempenho preditivo de classificadores induzidos utilizando conjuntos de treinamento com 1608 ou mais vetores de atributos calculados de sequências humanas não diferiram significativamente, entre os conjuntos de atributos que produziram as maiores acurácias. Além disso, as diferenças entre os desempenhos preditivos de classificadores induzidos por diferentes algoritmos de aprendizado, utilizando um mesmo conjunto de atributos, foram pequenas ou não significantes. Esses resultados inspiraram a obtenção de um conjunto de atributos menor e que pode ser calculado até 34 vezes mais rapidamente do que o conjunto de atributos menos custoso produzindo máxima acurácia, embora a acurácia produzida pelo conjunto proposto não difere em mais de 0.1% das acurácias máximas. Quando esses experimentos foram executados utilizando vetores de atributos calculados de sequências de outras 44 espécies, os resultados mostraram que os conjuntos de atributos que produziram modelos com as maiores acurácias utilizando vetores calculados de sequências humanas também produziram as maiores acurácias quando pequenos conjuntos de treinamento (120) calculados de exemplos de outras espécies foram utilizadas. No entanto, a análise destes modelos mostrou que a complexidade de aprendizado varia amplamente entre as espécies, mesmo entre aquelas pertencentes a um mesmo filo. Esses resultados mostram que a existência de características espécificas em pre-miRNAs de certas espécies sugerida em estudos anteriores pode estar correlacionada com a complexidade de aprendizado. Consequentemente, a acurácia de modelos induzidos utilizando um mesmo conjunto de atributos e um mesmo algoritmo de aprendizado varia amplamente entre as espécies. i Os resultados também mostraram que o uso de exemplos de espécies filogeneticamente mais complexas pode aumentar o desempenho preditivo de espécies menos complexas. Por último, experimentos computacionais utilizando técnicas de ensemble mostraram estratégias alternativas para o desenvolvimento de novos modelos para predição de pre-miRNA com maior probabilidade de obter maior desempenho preditivo do que estratégias atuais, embora o custo computacional dos atributos seja inferior. Uma vez que a descoberta de miRNAs envolve a análise de milhares de regiões genômicas, a aplicação prática de modelos preditivos de baixa acurácia e/ou que dependem de atributos computacionalmente custosos pode ser inviável em análises de grandes genomas. Neste trabalho, apresentamos e discutimos os resultados de experimentos computacionais investigando o potencial de diversas estratégias utilizadas na indução de modelos preditivos para predição ab initio de pre-miRNAs, que podem levar ao desenvolvimento de ferramentas ab initio de maior aplicabilidade prática
Du, Chen. "Global analysis of microrna species in the gall midge Mayetiola destructor." Thesis, Kansas State University, 2015. http://hdl.handle.net/2097/20375.
Full textEntomology
Ming-Shun Chen
Robert "Jeff" J. Whitworth
MicroRNA (miRNA) plays a role in nearly all the biological pathways and therefore may provide opportunities to develop new means to combat the Hessian fly, Mayetiola destructor, a destructive pest of wheat. This study presents a comprehensive analysis of miRNA species via deep-sequencing samples from Hessian fly second instar larvae, pupae and adults. A total of 921 unique miRNA species were identified from approximately 30 million sequence reads. Among the 921 miRNA species, only 22 were conserved among Hessian fly and other insect species, and 242 miRNA species were unique to Hessian fly, the remaining 657 share certain sequence similarities with pre-miRNA genes identified from various insect species. The abundance of the 921 miRNA species based on sequence reads varies greatly among the three analyzed stages, with 20 exclusively expressed in adults, two exclusively expressed in pupae and two exclusively expressed in second instar larvae. For miRNA species expressed in all stages, 722 were with reads lower than 10. The abundance of the remaining 199 miRNA species varied from zero to more than eight-fold differences among different stages. Putative miRNA-encoding genes were analyzed for each miRNA species. A single putative gene was identified for 594 miRNA species. Two putative genes were identified for 138 miRNA species. Three or more putative genes were identified for 86 miRNA species. The three largest families had 14, 23 and 34 putative coding genes, respectively. No gene was identified for the remaining 103 miRNA species. In addition, 1516 putative target genes were identified for 490 miRNA species based on known criteria for miRNA targets. The putative target genes are involved in a wide range of processes from nutrient metabolism to encoding effector proteins. Analysis of the expression patterns of miRNA and pre-miRNA for the miRNA family PC-5p-67443, which contains 91 genes, revealed that miRNA and pre-miRNA were expressed differently in different developmental stages, suggesting that different isogenes are regulated by different mechanisms, or pre-miRNAs had other functions in addition to as an intermediate for miRNA biogenesis. The large set of miRNA species identified here provides a foundation for future research on miRNA functions in Hessian fly and for comparative studies in other species. The differential expression patterns between a pre-miRNA and its encoded mature miRNA in a multigene family is an initial step toward understanding the functional significance of isogenes in dramatically expanded miRNA families.
Samols, Mark Atienza. "Identification and Functional Analysis of Micro-RNAs Encoded by Kaposi’s Sarcoma-Associated Herpesvirus." Case Western Reserve University School of Graduate Studies / OhioLINK, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=case1181143062.
Full textKeung, Man Hong. "The role of MicroRNA in 20(R)-ginsenoside-Rg3-induced anti-angiogenesis." HKBU Institutional Repository, 2010. http://repository.hkbu.edu.hk/etd_ra/1174.
Full textAvramopoulos, Petros [Verfasser], Stefan [Akademischer Betreuer] Engelhardt, Stefan [Gutachter] Engelhardt, and Arne [Gutachter] Skerra. "Optical analysis of microRNA activity and therapeutic manipulation of microRNA-29 in vivo / Petros Avramopoulos ; Gutachter: Stefan Engelhardt, Arne Skerra ; Betreuer: Stefan Engelhardt." München : Universitätsbibliothek der TU München, 2019. http://d-nb.info/1220320455/34.
Full textKhan, Nasrin. "Analysis of MicroRNAs in Biological Samples." Thesis, Université d'Ottawa / University of Ottawa, 2015. http://hdl.handle.net/10393/32317.
Full textBudd, William. "Combinatorial analysis of tumorigenic microRNAs driving prostate cancer." VCU Scholars Compass, 2012. http://scholarscompass.vcu.edu/etd/2848.
Full textAhmed, Rina [Verfasser]. "Bioinformatic Analysis of microRNA Genes in Free-Living and Parasitic Nematodes / Rina Ahmed." Berlin : Freie Universität Berlin, 2015. http://d-nb.info/1068504803/34.
Full textBao, Yu. "Identification and Analysis of Critical Sites in RNA/Protein Sequences and Biological Networks." Kyoto University, 2018. http://hdl.handle.net/2433/235113.
Full textMuiños, Gimeno Margarita. "Analysis of genetic variation in microrna-mediated regulation and the susceptibility to anxiety disorders." Doctoral thesis, Universitat Pompeu Fabra, 2009. http://hdl.handle.net/10803/7192.
Full textHem investigat la variació genètica a la regulació mediada per microRNAs com a factors de susceptibilitat pels trastorns d'ansietat seguint dues aproximacions diferents. Primer vam estudiar dues isoformes del gen candidat NTRK3 mitjançant la reseqüenciació dels seus diferents 3'UTRs a pacients de pànic (TP), a pacients amb trastorn obsessiu compulsiu (TOC) i a controls. Dues variants rares que alteren la regulació mediada per microRNAs foren identificades per TP. D'altra banda, es trobà associació d'un SNP comú amb el subtipus acumulador de TOC. A més, també hem estudiat la possible implicació dels microRNAs als trastorns d'ansietat. Conseqüentment, hem analitzat l'organització genòmica i la variació genètica a regions que contenen microRNAs per construir un panell d'SNPs per fer anàlisis d'associació. Els estudis cas-control van revelar algunes associacions. Tanmateix, val la pena destacar les associacions del miR-22 i el miR-488 amb TP; dos microRNAs pels quals assajos funcionals i anàlisis de transcriptoma després de la seva sobreexpressió han mostrat una repressió significativa d'un grup de gens implicats en vies fisiològiques lligades al desenvolupament del TP.
Nelson, Brandon John. "MicroRNA analysis of human embryonic stem cell derived cardiomyocytes and neonatal rat ventricular cardiomyocytes." Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 2007. http://wwwlib.umi.com/cr/ucsd/fullcit?p1447322.
Full textTitle from first page of PDF file (viewed January 15, 2008). Available via ProQuest Digital Dissertations. Includes bibliographical references (p. 45-48).
Das, Gupta Mithun [Verfasser], and Jürgen [Gutachter] Löffler. "Analysis of microRNA-profiles in human dendritic cells / Mithun Das Gupta. Gutachter: Jürgen Löffler." Würzburg : Universität Würzburg, 2015. http://d-nb.info/1102829323/34.
Full textTan, Yi. "Functional analysis of microRNA-181a : identification of target proteins and application in HCC therapy." Thesis, Imperial College London, 2014. http://hdl.handle.net/10044/1/24698.
Full textSelvaraja, Sudarshan. "Microarray Data Analysis Tool (MAT)." University of Akron / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=akron1227467806.
Full textChow, Hiu Tung. "Arabidopsis miR163 and its target are involved in defense against Pseudomonas syringae." HKBU Institutional Repository, 2016. https://repository.hkbu.edu.hk/etd_oa/312.
Full textMead, Edward. "Discovery, Characterization, and Functional Analysis of micro RNAs in Culicidae." Diss., Virginia Tech, 2009. http://hdl.handle.net/10919/77433.
Full textPh. D.
Epanchintsev, Alexey. "Analysis of c-MYC-induced chromosomal instability and generation of a conditional microRNA expression system." Diss., lmu, 2008. http://nbn-resolving.de/urn:nbn:de:bvb:19-83910.
Full textVila, Casadesús Maria. "Design of bioinformatic tools for integrative analysis of microRNA-mRNA interactome applied to digestive cancers." Doctoral thesis, Universitat de Barcelona, 2017. http://hdl.handle.net/10803/663087.
Full textEpanchintsev, Alexey. "Analysis of c-MYC-induced chromosomal instability and generation of a conditional microRNA expression system." kostenfrei, 2007. http://edoc.ub.uni-muenchen.de/8391/.
Full textKlage, Karsten. "Molecular analysis of the responses of Caenorhabditis elegans (Bristol N2), Panagrolaimus rigidus (AF36) and Panagrolaimus sp. (PS 1579) (Nematoda) to water stress." Diss., Virginia Tech, 2008. http://hdl.handle.net/10919/28215.
Full textPh. D.
Youssef, Ninwa. "Analysis of conserved microRNA targets in the nematode Caenorhabditis elegans and the fruit fly Drosophila melanogaster." Thesis, Södertörns högskola, Institutionen för naturvetenskap, miljö och teknik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:sh:diva-19211.
Full textAkhbari, Pouria. "Analysis of cellular transcriptomic changes induced by Merkel cell polyomavirus miRNA." Thesis, University of Bradford, 2017. http://hdl.handle.net/10454/15902.
Full textSinha, Pritam Bala [Verfasser]. "Functional analysis of microRNA-130b in bovine oocyte maturation and preimplantation embryo development / Pritam Bala Sinha. Landwirtschaftliche Fakultät." Bonn : Universitäts- und Landesbibliothek Bonn, 2011. http://d-nb.info/1016262914/34.
Full textMaragkakis, Emmanouil Verfasser], Ivo [Akademischer Betreuer] Grosse, Artemis-Geōrgia [Akademischer Betreuer] [Chatzēgeōrgiu, and Wojciech [Akademischer Betreuer] Makalowski. "Bioinformatics approach for microRNA target prediction and functional analysis / Emmanouil Maragkakis. Betreuer: Ivo Grosse ; Artemis Hatzigeorgiou ; Wojciech Makalowski." Halle, Saale : Universitäts- und Landesbibliothek Sachsen-Anhalt, 2011. http://d-nb.info/1025202783/34.
Full textMonkeviciute, Aiste. "Analysis of microRNA role in the development of left ventricular hypertrophy in the stroke-prone spontaneously hypertensive rat." Thesis, University of Glasgow, 2014. http://theses.gla.ac.uk/4710/.
Full textRicci, Pierbruno. "The Renal Cysts and Diabetes syndrome : from transcriptional profiling and functional analysis of a novel mouse model to biomarkers evaluation in human patients." Thesis, Sorbonne université, 2018. http://www.theses.fr/2018SORUS111/document.
Full textHeterozygous mutations in the gene encoding the transcription factor HNF1B are the cause of a complex multisystem syndrome known as Renal Cysts And Diabetes (RCAD). A mouse model generated in our laboratory was shown to reproduce several features of the human disease. We performed high-throughput mRNA-microRNA sequencing at different developmental stages (E14.5, E15.5, E17.5). We showed that the most down-regulated genes were involved in transport, lipid and organic acid metabolic processes and expressed in proximal tubules and to a lesser extent in the loop of Henle and collecting ducts. We then selected four microRNAs (mir-802, 194-2, 192 and -30a), which were down-regulated and potentially controlled by HNF1B. Luciferase assays in HEK-293 cells showed that HNF1B was able to specifically transactivate in a dose response mode these microRNAs through binding HNF1B-binding sites in their regulatory promoter/enhancer upstream sequences. We subsequently showed by luciferase assays using miRNA MIMICS that mir-802, mir-194-2 and mir-192 were able to inhibit luciferase vectors containing the 3’UTR of Hnf1b. Analysis of urine samples from 22 RCAD patients and 22 healthy controls led to the identification of 146 peptides differentially excreted and associated with RCAD including a similarity regarding collagen and uromodulin fragments with the RCAD mouse model. Combining the peptides into a mathematical model we used independent cohorts of patients to validate the prediction of the RCAD syndrome. Our classifier efficiently predicted RCAD syndrome with 91.7% sensitivity and 91.1% specificity on a wide population
Abd-el-Naby, Walaa Slouma Hamouda [Verfasser]. "Expression analysis of regulatory MicroRNA in bovine cumulus oocyte complex and preimplantation embryos / Walaa Slouma Hamouda Abd El Naby." Bonn : Universitäts- und Landesbibliothek Bonn, 2012. http://d-nb.info/1043054782/34.
Full textTheiss, Julia. "Analysis of Sex Myoblast Migration in mir-44/45 C. elegans Mutants." Scholarship @ Claremont, 2019. https://scholarship.claremont.edu/scripps_theses/1327.
Full textLombe, Chipampe Patricia. "Analysis, expression profiling and characterization of hsa-miR-5698 target genes as putative dynamic network biomarkers for prostate cancer: a combined in silico and molecular approach." University of the Western Cape, 2019. http://hdl.handle.net/11394/7026.
Full text2018, the International Agency for Research on Cancer (IARC) estimated that prostate cancer (PCa) was the second leading cause of death in males worldwide. The number of deaths are expected to raise by 50 % in the next decade. This rise is attributed to the shortcomings of the current diagnostic, prognostic, and therapeutic biomarkers used in the management of the disease. Therefore, research into more sensitive, specific and effective biomarkers is a requirement. The use of biomarkers in PCa diagnosis and management takes advantage of the genetic alterations and abnormalities that characterise the disease. In this regard, a microRNA, hsa-miR-5698 was identified in a previous study as a differentiating biomarker between prostate adenocarcinoma and bone metastasis. Six putative translational targets (CDKN1A, CTNND1, FOXC1, LRP8, ELK1 and BIRC2) of this microRNA were discovered using in silico approaches. The aim of this study was to analyse via expression profiling and characterization, the target genes of hsa-miR-5698 in order to determine their ability to act as putative dynamic network biomarkers for PCa. The study was conducted using a combined in silico and molecular approach. The in silico part of the study investigated the putative transcriptional effects of hsa-miR-5698 on the promotors of its translational targets, the correlation between hsa-miR-5698 and mRNA expression profiles as well as the co-expression analysis, pathway analysis and prognostic ability of the target genes. A number of computational software were employed for these purposes, including, R Studio, Trident algorithm, STRING, KEGG, MEME Suite, SurvExpress and ProGgene. The molecular part of the study involved expression profiling of the genes in two PCa cell line LNCaP and PC3 via qPCR.
Jan, Michael. "Novel Mechanisms Underlying Homocysteine-Suppressed Endothelial Cell Growth." Diss., Temple University Libraries, 2014. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/264103.
Full textPh.D.
Cardiovascular disease (CVD) is the leading cause of death worldwide, and is projected to remain so for at least the next decade. Ever since its discovery in the urine and blood of children with inborn errors of metabolism, homocysteine (Hcy) at elevated plasma concentrations has been associated with CVD clinically and epidemiologically. Observational studies and meta-analyses have noted that changes in plasma Hcy by 5μM increase the odds ratio of developing coronary artery disease by 1.6-1.8 among other CVD. Clinical trials aimed at reducing plasma Hcy for benefit against development of subsequent cardiovascular events have had unconvincing results, but have moreover failed to address the mechanisms by which Hcy contributes to CVD. Recommendations from national agencies like the American Heart Association and the United States Preventive Services Task Force emphasize primordial prevention as a way to combat CVD. Reducing plasma Hcy as secondary and primary interventions does not fulfill this recommendation. In order to best understand the role of Hcy in CVD, an investigation into its mechanisms of action must be undertaken before measures of primordial prevention can be devised. Numerous experimental studies in the literature identify vascular endothelium as a target for the pathological effects of Hcy. Endothelial injury and impairment are contributory processes to atherosclerosis, and Hcy has been demonstrated to inhibit endothelial cell (EC) growth and proliferation through mechanisms involving cell cycle arrest, oxidative stress, and programmed cell death in vitro. Animal models have also confirmed that high levels of Hcy accelerate atherosclerotic plaque development and lead to impairment of vascular reendothelialization following injury. Hcy has been shown to have the opposite effect in vascular smooth muscle cells (SMC), causing their proliferation and again contributing to atherosclerosis. The cell-type specificity of Hcy remains to be understood, and among the aims of this research was to further characterize the effects of Hcy in EC. The overarching goal was discovery in order to direct future investigations of Hcy-mediated pathology. To begin, the first investigation considered the transcriptional and regulatory milieu in EC following exposure to Hcy. High-throughput screening using microarrays determined the effect of Hcy on 26,890 mRNA and 1,801 miRNA. Two different in vitro models of hyperhomocysteinemia (HHcy) were considered in this analysis. The first used a high dose of 500µ Hcy to mimic plasma concentrations of patients wherein the transsulfuration pathway of Hcy metabolism is impaired as in inborn cystathionine-ß-synthase deficiency. The other set of conditions used 50µ Hcy in the presence of adenosine to approximate impairment of the remethylation pathway of Hcy metabolism wherein s-adenosylhomocysteine accumulates, thus inhibiting s-adenosylmethionine formation and methylation reactions. These distinctions are important because most clinical trials do not distinguish between causes of HHcy, thereby ignoring the specific derangements underlying HHcy. mRNA and miRNA expression changes for both sets of treatment conditions identified CVD as a common network of Hcy-mediated pathology in EC. Moreover, methylation-specific conditions identified cell cycle modulation as a major contributory mechanism for this pathology, which agrees with recent findings in the literature. Analysis of significant mRNA changes and significant miRNA changes independently identified roles for Hcy in CVD and cell cycle regulation, thereby suggesting that miRNA may mediate the effects of Hcy in addition to gene expression changes alone. To investigate the role of Hcy in the cell cycle further, the next set of investigations considered the effect of Hcy under conditions approximating impaired remethylation in early cell cycle events. Previous studies have demonstrated that Hcy inhibits cyclin A transcription in EC via demethylation of its promoter. Conversely, Hcy induces cyclin A expression in SMC, again making the case for a cell type-specific mechanism in EC. Preceding cyclin A transcription and activation, canonical events in the early cell cycle include D-type cyclin activation, retinoblastoma protein (pRB) phosphorylation, and transcription factor E2F1 activation. In a series of in vitro experiments on EC, it was seen that Hcy inhibits expression of cyclin D2 and cyclin D3, but not cyclin D1. Next, pRB phosphorylation was seen to be decreased following treatment with Hcy. This also led to decreased E2F1 expression. However, this series of events could be reversed with E2F1 supplementation, allowing the cell cycle to proceed. As Hcy exerts a number of its effects via regulation of gene transcription, a final series of investigations aimed to predict potential targets of Hcy by examining patterns of transcription factor binding among known targets of Hcy regulation. Gene promoters of Hcy-modulated genes were analyzed in order to determine common transcription factors that potentially control their regulation. The locations of CpG-rich regions in promoters were identified to determine which regions would be most susceptible to regulation by DNA methylation. Next, high-throughput next-generation sequencing (NGS) and bisulfite NGS was performed for DNA from EC treated with Hcy in order to determine methylation changes after Hcy treatment. A number of potential transcription factors and their binding sites were identified as potential mediators of Hcy-mediated gene regulation. Taken together, these investigations represent an exploration of Hcy-mediated pathology in CVD, by focusing upon novel regulatory mechanisms in EC. Objective high-throughput arrays identified roles for Hcy in CVD and cell cycle pathways regulated by miRNA and gene expression, which were confirmed experimentally in vitro. These observations led to an investigation and identification of common transcription factors that potentially regulate Hcy-altered gene expression. This framework may be used to guide future investigations into the complex pathological network mediating the effects of Hcy in CVD. First, identification of a role for miRNA in mediating the effects of Hcy represents a novel regulatory mechanism, heretofore largely unexplored. Next, expanding the role of Hcy in EC cell cycle regulation to identify upstream mediators greatly adds to the published literature. Finally, noting that these changes center upon transcriptional and post-transcriptional regulation gives import to developing methods to characterize promoter and transcription factor regulation. The investigations presented herein and their results provide evidence that the future of Hcy research is vibrant, relevant, and not nearly surfeit.
Temple University--Theses
Hu, Haiyang [Verfasser]. "Computational and Statistical Analysis of Sequence and Expression Features of MicroRNA and Long Noncoding RNA in Primate Brains / Haiyang Hu." Berlin : Freie Universität Berlin, 2016. http://d-nb.info/1093404175/34.
Full textPaluschinski, Martha [Verfasser]. "The Functional Analysis and Characterization of the Liver-Specific MicroRNA miR 122 and of its Associated Target Genes / Martha Paluschinski." Düsseldorf : Universitäts- und Landesbibliothek der Heinrich-Heine-Universität Düsseldorf, 2021. http://d-nb.info/1225555760/34.
Full textStokowy, Tomasz, Markus Eszlinger, Michał Świerniak, Krzysztof Fujarewicz, Barbara Jarząb, Ralf Paschke, and Kurt Krohn. "Analysis options for high-throughput sequencing in miRNA expression profiling." Universitätsbibliothek Leipzig, 2014. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-144393.
Full textHerráiz, Yebes Alba. "Molecular analysis of ovarian resorption by hydric stress in Blatella germanica." Doctoral thesis, Universitat Pompeu Fabra, 2014. http://hdl.handle.net/10803/299212.
Full textEn esta tesis estudiamos los efectos del estrés hídrico en el ovario de la cucaracha Blattella germanica. A nivel morfológico describimos el proceso de reabsorción ovárica tras la privación de agua. A nivel molecular buscamos marcadores diferencialmente expresados en respuesta a este estrés. Primero nos centramos en las acuaporinas por su papel como proteínas que forman un canal transportador de agua. Clonamos, secuenciamos y caracterizamos funcionalmente una acuaporina que transporta agua y urea. Después obtuvimos una biblioteca de microRNAs (RNAs cortos no codificantes que regulan la expresión génica post-transcripcionalmente) presentes en el ovario en situación de estrés. Analizamos la expresión diferencial de 13 de ellos y observamos que la mayoría se sobreexpresaban en situación de estrés. Elegimos miR-34-5p para hacer un estudio más profundo, incluyendo un análisis de sus potenciales mRNA diana. De entre ellos, estudiamos la función de Windei y comprobamos que dicho factor es necesario para la trimetilación de la lisina 9 en la histona H3 y para la formación del corion. Por último, seleccionamos CARMER (una arginina methyltransferasa) como candidato a marcador de estrés hídrico. Comprobamos que CARMER se sobreexpresa en respuesta a estrés y que es necesario para la dimetilación de la arginina 17 en la histona H3.
Rosewick, Nicolas. "Next-generation transcriptome analysis of deltaretrovirus induced leukemia: from microRNAs to macroRNAs." Doctoral thesis, Universite Libre de Bruxelles, 2015. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/209102.
Full textMore than 20 million people are infected by Human T-cell Lymphotropic Virus type 1 (HTLV-1) worldwide and this will cause T-cell leukemia in 5% of them. Yet the molecular mechanisms that underlie the oncogenic potential of this virus remain largely unknown. Bovine Leukemia Virus (BLV) is closely related to HTLV1 and causes a very similar B-cell leukemia in cattle and sheep. As for HTLV1, the oncogenic mechanisms underlying BLV-induced leukemia remain poorly understood. In both diseases, leukemic cells harbor mainly one integrated provirus, yet the integration sites are very variable. As a consequence, it is generally assumed that the oncogenic effect of the provirus is largely mediated by the virally encoded Tax protein. Paradoxically, however, both HTLV1 and BLV proviruses are found to be epigenetically silenced in tumor cells. Thus Tax, as any other virally encoded protein, is not expressed in leukemic cells suggesting that other factors are involved in tumorigenesis. In this study we made three observations that might dramatically change the prevalent dogma of HTLV1 and BLV-induced leukemia. First, we demonstrated that the BLV provirus is not silent at all in tumor cells. A cluster of BLV-encoded microRNAs (miRNAs) is highly expressed, accounting for 40% of the miRNAs present in leukemic cells. This finding is the first description of retroviral-encoded miRNAs. BLV miRNAs are transcribed from five independent RNA Pol III units and are exceedingly conserved across BLV isolates (more than the protein coding genes), strongly supporting an essential yet still unknown function. Next we showed that – as HTLV1 – BLV strongly expresses antisense RNAs. High-throughput sequencing of RNA libraries (RNA-seq) from BLV associated tumors, as expected, showed no expression of viral mRNA from the 5’ LTR. However, it did reveal the presence of two novel non-coding antisense transcripts originating in the 3’ LTR of BLV. Finally, RNA-Seq analysis of HTLV-1 and BLV-induced tumors revealed that the viral 3’ LTR-driven antisense RNAs produced by both viruses interact with host genes localized in the vicinity of proviral integration. Enrichment analysis of affected host genes suggests a significant bias towards cancer-related genes. Host gene perturbations were also found at early stages post-infection in the BLV experimental model in sheep, suggesting that provirus-dependent cancer driver gene perturbations trigger initial amplification of the corresponding clones, requiring additional genetic and/or epigenetic changes to develop full blown leukemia. Overall, our findings reveal an unexpected role for BLV and HTLV antisense transcripts and contribute to the understanding of non-coding RNA-mediated mechanisms in leukemogenesis.
Doctorat en Sciences biomédicales et pharmaceutiques
info:eu-repo/semantics/nonPublished
Bissels, Ute [Verfasser]. "Combined analysis of microRNA and mRNA signatures in human hematopoietic stem and progenitor cells using a novel microarray quantification system / Ute Bissels." Aachen : Hochschulbibliothek der Rheinisch-Westfälischen Technischen Hochschule Aachen, 2011. http://d-nb.info/1016243669/34.
Full textZillmer, Stephanie [Verfasser], Michaela [Akademischer Betreuer] [Gutachter] Nathrath, and Stefan [Gutachter] Burdach. "Integrative analysis of microRNA and mRNA expression profiles in osteosarcoma cell lines / Stephanie Zillmer. Betreuer: Michaela Nathrath. Gutachter: Michaela Nathrath ; Stefan Burdach." München : Universitätsbibliothek der TU München, 2016. http://d-nb.info/1106382161/34.
Full textPreusse, Martin [Verfasser], Fabian J. [Akademischer Betreuer] [Gutachter] Theis, and Hans-Werner [Gutachter] Mewes. "Analysis of microRNA function using systemic regulatory features and graph models / Martin Preusse ; Gutachter: Fabian J. Theis, Hans-Werner Mewes ; Betreuer: Fabian J. Theis." München : Universitätsbibliothek der TU München, 2016. http://d-nb.info/1144483271/34.
Full textKoliha, Nina [Verfasser], Falk [Gutachter] Nimmerjahn, and Andreas [Gutachter] Baur. "Analysis of the microRNA profile and origin of exosomes in plasma of melanoma patients and healthy individuals / Nina Koliha ; Gutachter: Falk Nimmerjahn, Andreas Baur." Erlangen : Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 2016. http://d-nb.info/1116712822/34.
Full textThibord, Florian. "Variation génétique et plasmatique des microARNs : impact sur les paramètres biologiques de l’hémostase OPTIMIR, a novel algorithm for integrating available genome-wide genotype data into miRNA sequence alignment analysis A Genome Wide Association Study on plasma FV levels identified PLXDC2 as a new modifier of the coagulation process." Thesis, Sorbonne université, 2019. http://www.theses.fr/2019SORUS379.
Full textMicroRNAs (miRNA) are small non coding RNAs with an average size of 22 nucleotides, mainly known to regulate gene expression in the cytoplasm. These small RNAs are estimated to regulate the majority of human genes, and are potentially involved in several diseases. MiRNA sequences might contain genetic variants and can undergo post-transcriptional variations, which generate miRNA isoforms called isomiRs. In order to accurately detect and quantify miRNA expression, isomiRs as well as paralogous miRNAs must be accounted for. The optimiR pipeline developed during this project overcome these challenges by integrating genetic information and by implementing an original strategy based on local alignement. Sequencing data were obtained from the MARTHA cohort, which is composed of french unrelated patients who experienced venous thrombosis (VTE). Normalized expression of 162 miRNAs from 334 patients were used to analyze: 1) the genetic determinants of miRNA expression; 2) the association of miRNA expression levels with VTE recurence; 3) the correlations between miRNA expression levels and hemostatic traits. As a whole, these analyses allowed me to identify miRNAs of interest for the study of VTE and hemostasis
Moss, Tiffanie. "CHARACTERIZATION OF STRUCTURAL VARIANTS AND ASSOCIATED MICRORNAS IN FLAX FIBER AND LINSEED GENOTYPES BY BIOINFORMATIC ANALYSIS AND HIGH-THROUGHPUT SEQUENCING." Case Western Reserve University School of Graduate Studies / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=case1333648149.
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