Primary liver cancer is an aggressive, lethal malignancy that ranks as the fourth leading cause of cancer-related death worldwide. Its 5-year mortality rate is estimated to be more than 95%. This significant low survival rate is due to poor diagnosis, which can be referred to as the lack of sufficient and early-stage detection methods. Many liver cancer-associated non-coding RNAs (ncRNAs) have been extensively examined to serve as promising biomarkers for precise diagnostics, prognostics, and the evaluation of the therapeutic progress. For the simple, rapid, and selective ncRNA detection, various nanomaterial-enhanced biosensors have been developed based on electrochemical, optical, and electromechanical detection methods. This review presents ncRNAs as the potential biomarkers for the early-stage diagnosis of liver cancer. Moreover, a comprehensive overview of recent developments in nanobiosensors for liver cancer-related ncRNA detection is provided.

Please find the referenced videos attached / The physical ends of eukaryotic chromosomes consist of repetitive DNA sequences, which are associated with specialized proteins forming a nucleoprotein structure essential for the integrity of the linear chromosomes, and are known as telomeres. Telomerase is an enzyme responsible for the maintenance of the telomeric repeats at the end of the chromosomes. Telomerase is a ribonucleoprotein, which contains a catalytic subunit that possesses reverse transcriptase activity, and a RNA subunit that acts as a template, since it possess the telomeric repeat sequences necessary to amplify telomere ends. Telomeres are transcribed in most eukaryotes into a non-coding RNA know as TERRA (Telomeric repeats-containing RNA). It has been proposed that TERRA may act as a regulator of telomere homeostasis, and as an inhibitor of telomerase, however, its specific function is still unknown. In Saccharomyces cerevisiae, TERRA is rapidly degraded by the 5’-3’ Rat1 exonuclease, which has hampered its study by classic biochemical experiments in yeast. In this thesis, we report the use of cytological approaches to study TERRA in budding yeast. Two different approaches were used for this purpose: the fluorescent in-situ hybridization (FISH) and the labeling of TERRA by the MS2-GFP system, which allow the visualization of TERRA transcripts form a single telomere in living cells. With these two approaches, we observed that TERRA is expressed from a single telomere and accumulates as a single perinuclear foci, in a small percentage of cells population. We also demonstrate that TERRA expression occurs due to telomere shortening. We demonstrate that TERRA interacts in vivo with the telomerase RNA (TLC1) in yeast. Telomere elongation depends on the action of several telomerase molecules that are visible as clusters, which associate with telomeres in late S phase in yeast, and mammalian cells. In adidition, we show that TERRA stimulates the nucleation of telomerase clusters. By performing time course experiments of TERRA and TLC1 RNA in live cells, we observed that TERRA acts as a scaffold for generating telomerase clusters, which are then recruited in late S phase to the telomere from which TERRA molecules originated. The recruitment of TERRA to its telomere of origin is dependent on factors that control telomerase recruitment at telomeres like: Mre11, Tel1 and the yKu complex. We propose that a short telomere expresses TERRA to assemble and organize telomerase molecules, which later on allows their recruitment at the short telomere, where elongation is needed. Finally we showed an up-regulation of TERRA, and telomerase RNA TLC1, accompanied by a predominant cytoplasmic localization as cell growth progresses from exponential growth to diauxic shift, and stationary phase. In these conditions, TERRA foci co-localize with TLC1 RNA foci, suggesting that the function of TERRA as a scaffold molecule to generate telomerase cluster is necessary for this yeast cell growth phases. / Les télomères à l’extrémité des chromosomes constituent une structure d’ADN et de protéines essentielle à l’intégrité de ces chromosomes. La télomérase est l’enzyme responsable du maintien des répétitions télomériques à l’extrémité des chromosomes. Cette enzyme est constituée d’une sous-unité catalytique, qui possède une activité de transcriptase réverse, et d’une sous-unité d’ARN, qui fourni la matrice nécessaire à la synthèse des répétitions télomériques. Les ARN contenant des répétions télomériques (ou Telomeric repeats-containing RNA; TERRA) constitue une nouvelle classe d’ARN non-codants transcrits à partir des télomères et conservée chez la plupart des eucaryotes. TERRA a été proposé d’agir comme un régulateur de l‘homéostasie des télomères et comme inhibiteur de la télomérase, mais sa fonction spécifique reste inconnue. De plus, chez la levure Saccharomyces cerevisiae, TERRA est rapidement dégradé par l’exonucléase 5’-3’ Rat1, ce qui complique l’étude de cet ARN par les méthodes biochimiques classiques. Dans cette thèse, nous rapportons l‘utilisation d’une approche cytologique pour étudier TERRA dans les cellules de levures. Deux approches sont utilisées : l’hybridation in situ en fluorescence (FISH) et l’étiquetage de TERRA à l’aide du système MS2-GFP, qui nous permet de visualiser l’expression de TERRA transcrit d’un seul télomère dans des cellules vivantes. Avec ces deux approches, nous observons que TERRA exprimé à partir d’un seul télomère s’accumule dans un faible nombre de cellules, sous la forme d’un focus périnucléaire. De plus, nous montrons que TERRA est exprimé lorsque son télomère raccourcit. Par immunoprécipitation, nous montrons que TERRA interagit in vivo avec l’ARN de la télomérase de levure, TLC1. L’élongation des télomères dépend de l‘action de multiples molécules de télomérase, qui sont visibles sous la forme de clusters de télomérases, qui s‘associent en phase S avec les télomères chez la levure et les cellules de mammifère. Nous démontrons que TERRA stimule la nucléation de ces clusters de télomérase. Par imagerie en temps réel de TERRA et de l’ARN TLC1, nous observons que TERRA agit comme molécule d’échafaudage pour générer des clusters de télomérases, qui sont par la suite recrutés, en phase S, au télomère duquel TERRA a été exprimé. Le recrutement d’un focus de TERRA à son télomère d’origine dépend des facteurs contrôlant le recrutement de la télomérase aux télomères : Mre11, Tel1 et le complexe yKu. Nous proposons qu’un télomère court exprime TERRA pour assembler et organiser les molécules de télomérase, afin que celles-ci soit puissent être recrutées au télomère court pour permettre son élongation. Enfin, nous observons une surexpression de l’ARN de la télomérase TLC1 et de TERRA, ainsi qu’une accumulation cytoplasmique de ceux-ci sous la forme de foci, lorsque la cellule passe de la phase de croissance exponentiel à la phase diauxique, puis à la phase stationnaire. Dans ces conditions, les foci d’ARN TLC1 colocalisent avec les foci de TERRA, suggérant que la fonction de TERRA comme molécule d’échafaudage pour générer des foci de télomérase est aussi nécessaire durant ces phases du cycle de croissance des levures.

Die Genexpressionsmaschinerie in Chloroplasten und Mitochondrien und die ihrer prokaryotischen Vorläufer sind konserviert. Innerhalb eines bakteriellen Grundgerüsts entwickelte sich darüber hinaus ein komplexer RNA-Metabolismus. In der vorliegenden Arbeit wird eine neue Klasse kleiner RNAs (15-50nt) mit plastidärem und mitochondrialen Ursprung beschrieben. Diese kurzen RNAs überlappen mit Bindestellen von RNA-bindenden Proteinen, die mRNAs gegen exonukleolytischen Verdau beschützen. Diese stabilisierende Funktion wird vermutlich hauptsächlich von PPR (Pentatricopeptid repeat) Proteinen und verwandten Proteine bewerkstelligt. Die kleinen RNAs repräsentieren dabei minimale nuklease-resistente Bereiche, sogenannte RNA-Bindeprotein footprints. Solche footprints finden sich in fast jedem intergenischen Bereich, der Prozessierung aufweist. Durch transkriptomweite Untersuchungen von kleinen RNAs in Mutanten von RNA-Bindeproteinen konnte für diese eine Reihe von Bindestellen identifiziert werden. Nuklease-resistente kleine RNAs fehlen in entsprechenden Mutanten. Der Vergleich neu identifizierter Ziele einzelner RNA-Bindeproteine führte dabei zu neuen Erkenntnissen über den Mechanismus der RNA-Erkennung durch PPR Proteine. Im Gegensatz zu Plastiden befinden sich kleine RNAs in Mitochondrien überwiegend an den 3‘ Enden von Transkripten, deren Stabilität vermutlich maßgeblich von diesen RNA-Bindeproteinen beeinflusst wird. Für das chloroplastidäre Ribonukleoprotein CP31A konnte gezeigt werden, dass es an der Stabilisierung der ndhF mRNA beteiligt ist. Die Interaktion mit der ndhF mRNA, die eine zentrale Komponente des NDH-Komplexes kodiert, wird dabei über die 3‘ untranslatierte Region vermittelt. Zusätzlich konnte gezeigt werden, dass CP31A die Stabilität einiger antisense Transkripte beeinflusst. Weiterhin wurden zehn neue Cytidin Desaminierungungen durch die Analyse von RNA-Seq Datensätzen in der Modellpflanze Arabidopsis thaliana identifiziert. / Chloroplasts and mitochondria are of endosymbiotic origin. Their basic gene expression machineries are retained from their free-living prokaryotic progenitors. On top of this bacterial scaffold, a number of organelle-specific RNA processing steps evolved. In this thesis, a novel class of organelle-specific short (15-50nt) RNAs is described on a transcriptome-wide scale. The small RNAs are found at binding sites of PPR (Pentatricopeptide repeat) and PPR-like proteins, which protect mRNAs against exonucleolytic decay. The small RNAs represent minimal nuclease resistant RNAs, so called PPR footprints. Small RNAs were identified in almost every intergenic region subjected to intergenic processing. This finding suggests that accumulation of processed transcripts in plastids is mostly due to protection by highly specific RNA-binding proteins. Small RNA sequencing identified a number of nuclease insensitive sites missing in mutants of RNA-binding proteins. Analysis of multiple small RNAs representing target sites of single PPR proteins expands the knowledge of target specificity. In mitochondria, accumulations of small RNAs predicts that at least two thirds of mitochondrial mRNAs are stabilized by RNA-binding proteins binding in their 3’UTR. In sum, small organellar RNAs turned out to be instrumental in elucidating the hitherto enigmatic intercistronic processing of organellar RNAs and allowed novel insights into the function of the dominant family of organellar RNA binding proteins, the PPR proteins. A chloroplast ribonucleoprotein CP31A is shown to be involved in stabilization of an mRNA for a central component of the NDH-complex by interaction with its 3’UTR. In addition, CP31A represents the first factor described that influences the accumulation of chloroplast antisense transcripts. Finally, ten novel plastid C to U RNA-editing sites were identified in the model plant Arabidopsis thaliana, using a novel RNA-Seq based approach.

Text in English / Corridor disease is an economically important tick-borne disease of cattle in southern Africa. The disease is caused by Theileria parva and transmitted by the vectors, Rhipicephalus appendiculatus and R. zambeziensis. There is currently no vaccine to protect cattle against T. parva that is permitted in South Africa. To develop recombinant anti-tick vaccines against Corridor disease, comprehensive databases of genes expressed in the tick’s salivary glands are required. Therefore, in Chapters 2 and 3, mRNA from the salivary glands of R. appendiculatus and R. zambeziensis was sequenced and assembled using next generation sequencing technologies. Respectively, 12 761 and 13 584 non-redundant protein sequences were predicted from the sialotranscriptomes of R. appendiculatus and R. zambeziensis and uploaded to public sequence domains. This greatly expanded the number of sequences available for the two vectors, which will be invaluable resources for the selection of vaccine candidates in future. Further, in Chapter 3, differential gene expression analysis in R. zambeziensis revealed dynamic expression of secretory protein transcripts during feeding, suggestive of stringent transcriptional regulation of these proteins. Knowledge of these intricate expression profiles will further assist vaccine development in future. In Chapter 4, comparative sialotranscriptomic analyses were performed between R. appendiculatus and R. zambeziensis. The ticks have previously shown varying vector competence for T. parva and this chapter presents the search for correlates of this variance. Phylogenetic analyses were performed using these and other publically available tick transcriptomes, which indicated that R. appendiculatus and R. zambeziensis are closely related but distinct species. However, significant expression differences were observed between the two ticks, specifically of genes involved in tick immunity or pathogen transmission, signifying potential bioinformatic signatures of vector competence. Furthermore, nearly four thousand putative long non-coding RNAs (lncRNAs) were predicted in each of the two ticks. A large number of these showed differential expression and suggested a potential transcriptional regulatory function of lncRNA in tick blood feeding. LncRNAs are completely unexplored in ticks. Finally, in Chapter 5, concluding remarks are given on the potential impact the R. appendiculatus and R. zambeziensis sialotranscriptomes may have on future vaccine developments and some future research endeavours are discussed. / Life and Consumer Sciences / Ph. D. (Life Sciences)

Human complex diseases, like Diabetes and Cancer, affect many people worldwide today. Despite existing knowledge, many of these diseases are still not preventable. Complex diseases are known to be caused by a combination of genetic factors, as well as environmental and life style factors. The scope of this investigation covered the genomics of Type 1 Diabetes (T1D). There are 49 human genomic regions that are known to carry markers (disease-associated single nucleotide mutations) for T1D, and these were extensively studied in this research. The aim was to find out in how far this disease may be caused by problems in gene regulation rather than in gene coding. For this, the genetic factors associated with T1D, including the single point mutations and susceptibility regions, were characterised on the basis of their genomic attributes. Furthermore, mutations that occur in binding sites for transcription factors were analysed for change in the conspicuousness of their binding region, caused by allele substitution. This is called SNP (Single nucleotide polymorphism) sensitivity. From this study, it was found that the markers for T1D are mostly non-coding SNPs that occur in introns and non-coding gene transcripts, these are structures known to be involved in gene regulatory activity. It was also discovered that the T1D susceptibility regions contain an abundance of intronic, non-coding transcript and regulatory nucleotides, and that they can be split into three distinct groups on the basis of their structural and functional genomic contents. Finally, using an algorithm designed for this study, thirty-seven SNPs that change the representation of their surrounding region were identified. These regulatory mutations are non-associated T1D-SNPs that are mostly characterised by Cytosine to Thymine (C-T) transition mutations. They were found to be closer in average distance to the disease-associated SNPs than other SNPs in binding sites, and also to occur frequently in the binding motifs for the USF (Upstream stimulatory factor) protein family which is linked to problems in Type 2 diabetes.

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The Transcription Start Site Associated non-coding RNAs (TSSaRNAs) have been predicted across the three domain of life. However, still, there are no reliable annotation efforts to identify their biological functions and their underline molecular machinery. Therefore, this project addresses the question of what are the potential functions of TSSaRNAs regarding their roles in addressing the cellular functions. To answer this question, we aimed to accurately identify TSSaRNAs in the model organism Halobacterium salinarum NRC-1 (an Archean microorganism) that incubated at the standard growth condition. Consequently, we aimed to investigate TSSaRNAs structural stability in the term of the thermodynamic energies. Moreover, we attempted to functionally annotate TSSaRNAs based on Rfam functional classification of non-coding RNAs. Based on the statistical approach we developed an algorithm to predict TSSaRNA using next-generation RNA sequencing data (RNA-Seq). To perform structural annotation of TSSaRNAs, we investigated the structural stability of TSSaRNAs by modeling the secondary structures by minimizing the thermodynamic free energy. We simulated TSSaRNAs tertiary structures based on the secondary structures constrain using the Rosetta-Common RNA tool. The structures of the minimum free energy supposed to be biophysically stable structures. To investigate the higher order structures of TSSaRNAs, we studied the hybridization between TSSaRNAs and their cognate genes as part of RNA based regulation system. Also, based on our hypothesis that TSSaRNAs may bind to protein to trigger their function, we have investigated the interaction between TSSaRNAs and Lsm protein which known as a chaperone protein that mediates RNA function and involved in RNA processing. Our pipeline to perform the functional annotation of TSSaRNAs aimed to classify TSSaRNAs into their corresponding Rfam families based on two steps: either through querying TSSaRNAs sequences against the co-variance models of Rfam families or by querying the Rfam sequences against the co-variance models of the consensus secondary structures in TSSaRNAs. The results showed that the prediction algorithm has succeeded to identify a total of 224 TSSaRNAs that expressed in the same strand of the mRNAs and 58 TSSaRNAs that expressed as antisense of the mRNAs. The identified TSSaRNAs molecules showed a median length of 25 nucleotides. Regarding the structural annotation of TSSaRNAs, the results showed that most of TSSaRNAs possessed thermodynamically stable secondary structures and their tertiary structures were capable of forming more complex structures through binding with other biomolecules. About the formation of higher-order structures, we have observed that most of TSSaRNAs (92.2%) were capable of hybridizing into their cognate genes also 55 TSSaRNAs indicated putative interactions with Lsm protein. Furthermore, the computation docking experiments demonstrated the TSSaRNAs-Lsm complexes associated with favorable binding energy of a median of -542900 kcal mole -¹. Regarding the functional annotation of TSSaRNAs, the results showed that the majority of TSSaRNAs (42.05%) considered as potential cis-acting regulators such as cis-regulatory element and sRNAs, but still, there are potential trans-acting regulators to regulate distant molecules such as CRISPR and antisense RNA. Moreover, the results indicated that TSSaRNAs could trigger more complex function as a catalytic function such as Riboswitch or to play a role in the defense against a virus such as CRISPR. As a conclusion; based on the results of this study we could state that TSSaRNAs have several potential functions opening the experimental validation perspective. / Os RNA não codificantes associados ao sítio de início da transcrição - em inglês, transcription start site associated non-coding RNAs (TSSaRNA) - foram observados nos três domínios da vida. No entanto, sem esforço confiável de anotação para identificar suas funções biológicas e seus mecanismos moleculares. Portanto, esse projeto levanta a questão de quais são as funções em potencial dos TSSaRNAs a respeito de seus papeis nas funções celulares. Para responder esta questão, nós objetivamos em identificar de forma eficaz os TSSaRNAs no organismo modelo Halobacterium salinarum NRC-1 (um microrganismo do domínio Arqueia) encubado em uma condição de crescimento padrão. Consequentemente, nós investigamos a estabilidade estrutural dos TSSaRNAs em relação a energias termodinâmicas. Ainda, fizemos a anotação funcional dos TSSaRNAs baseado na classificação funcional Rfam dos RNAs não-codificantes. Baseada em uma abordagem estatística nós desenvolvemos um algoritmo para predizer TSSaRNA usando dados de sequenciamento de RNA de nova geração (RNA-Seq). Para investigar a estabilidade estrutural dos TSSaRNAs nós modelamos as estruturas secundárias minimizando a energia livre termodinâmica para alcançar a estrutura mais estável biofisicamente. Nós simulamos estruturas terciárias de TSSaRNAs baseado nas restrições das estruturas secundárias usando a ferramenta Rosetta-Common RNA. As estruturas de energia livre mínima seriam supostamente estruturas estáveis biofisicamente. Para investigar as estruturas de ordem superior (quaternária) dos TSSaRNAs, nós estudamos a hibridização entre os TSSaRNAs e seus genes cognatos como parte de um possível sistema de regulação baseado em RNA. Ainda, baseada na hipótese que os TSSaRNAs podem ligar à proteína para habilitar sua função, nós investigamos a interação entre TSSaRNAs e proteína Lsm que é conhecida por ser uma proteína chaperone que media função do RNA e está envolvida no processamento do RNA. Nosso pipeline para executar a anotação funcional dos TSSaRNAs objetivou classificar as TSSaRNAs em suas correspondentes classes Rfam baseado em dois passos: por meio de consulta das sequências TSSaRNA em relação a modelos de covariância de famílias Rfam ou por consulta de sequências Rfam em relação a modelos de covariância das estruturas de secundárias de consenso das estruturas secundárias nos TSSaRNAs. Os resultados mostraram que o algoritmo de detecção teve sucesso em identificar um total de 224 TSSaRNAs que expressaram na mesma direção dos mRNAs e 58 TSSaRNAs que expressaram no sentido oposto (antisenso) dos mRNAs. As moléculas TSSaRNAs identificadas mostraram um comprimento mediano de 25 nucleotídeos. A respeito da anotação estrutural dos TSSaRNAs, os resultados mostraram que a maioria dos TSSaRNAs possuíam estruturas secundárias estáveis termodinamicamente e suas estruturas terciárias foram capazes de formar estruturas mais complexas por meio de vínculos com outras biomoléculas. Quanto à formação de estruturas de maior de estruturas de alta ordem nos observamos que a maioria dos TSSaRNAs (92.2%) são capazes, pelo menos em princípio, de hibridizar em seus genes cognatos e, também, 55 TSSaRNAs evidenciaram interagir com a proteína Lsm. Além disso, os experimentos computacionais de docking demonstratam os complexos TSSaRNAs-Lsm associados com energia de ligação favorável com uma média de - 542900 kcal mole -¹. Quanto à anotação funcional dos TSSaRNAs, os resultados mostraram que a maioria dos TSSaRNAs (42.05%) podem ser consideradas potenciais reguladores atuando em cis tais como elemento cis-regulamentar e sRNAs, mas ainda há pontenciais reguladores atuando em trans para regular moléculas em loci distantes, tais como CRISPR e RNA antisense. Além disso, os resultados mostraram que TSSaRNAs podem potencialmente ativar funções mais complexas como uma função catalítica, tal como Riboswitch ou executar um papel de defesa contra vírus, tal como CRISPR. Como conclusão; baseado nos resultados desse estudo, nós podemos afirmar que TSSaRNAs possuem várias funções em potencial abrindo a perspecitiva de validação experimental.