<p>Antisense RNAs regulate gene expression in many bacterial systems. The best characterized examples are from prokaryotic accessory elements such as phages, plasmids and transposons. Many of these antisense RNAs have been identified as plasmid copy number regulators where they regulate the replication frequency of the plasmid by negative feedback. Instability and fast binding kinetics is crucial for the regulatory efficiency of these antisense RNAs. </p><p>In this thesis, the interaction of the cis-encoded antisense RNA CopA with its target CopT was studied in detail using <i>in vivo</i> reporter gene fusion expression and different <i>in vitro </i>methods, such as surface plasmon resonance, fluorescence resonance energy transfer, and gel-shift assays.</p><p>Formation of inhibitory complexes differs from simple hybridization reactions between complementary strands. E.g., the binding pathway of CopA and CopT proceeds through a hierarchical order of steps. It initiates by reversible loop-loop contacts, resulting in a helix nucleus of two or three base pairs. This is followed by rapid unidirectional helix progression into the upper stems, resulting in a four-way helical junction structure. It had been suggested that the loop of CopT carries a putative U-turn, a structure first found in tRNA anticodon loops. We showed that this putative U-turn is one of the structural elements of CopA/CopT required to achieve fast binding kinetics. Furthermore, the hypothetical U-turn structure determines the direction of helix progression when the kissing complex progresses to a four-way helical junction structure. Another structural element in CopT is the helical stem adjacent to the recognition loop. This stem is important to present the recognition loop appropriately to provide a scaffold for the U-turn.</p><p>Furthermore, the role of protein Hfq in the interaction of antisense/target RNA was investigated, since several trans-encoded antisense RNAs had been shown to need this protein to exert their function. In contrast, studies of two cis-encoded antisense RNA systems showed that these antisense RNAs do not rely on Hfq for activity. In this study it was also shown that MicF, a trans-encoded antisense RNA which is dependent on Hfq, is greatly stabilized by this protein.</p>

Antisense RNAs regulate gene expression in many bacterial systems. The best characterized examples are from prokaryotic accessory elements such as phages, plasmids and transposons. Many of these antisense RNAs have been identified as plasmid copy number regulators where they regulate the replication frequency of the plasmid by negative feedback. Instability and fast binding kinetics is crucial for the regulatory efficiency of these antisense RNAs. In this thesis, the interaction of the cis-encoded antisense RNA CopA with its target CopT was studied in detail using in vivo reporter gene fusion expression and different in vitro methods, such as surface plasmon resonance, fluorescence resonance energy transfer, and gel-shift assays. Formation of inhibitory complexes differs from simple hybridization reactions between complementary strands. E.g., the binding pathway of CopA and CopT proceeds through a hierarchical order of steps. It initiates by reversible loop-loop contacts, resulting in a helix nucleus of two or three base pairs. This is followed by rapid unidirectional helix progression into the upper stems, resulting in a four-way helical junction structure. It had been suggested that the loop of CopT carries a putative U-turn, a structure first found in tRNA anticodon loops. We showed that this putative U-turn is one of the structural elements of CopA/CopT required to achieve fast binding kinetics. Furthermore, the hypothetical U-turn structure determines the direction of helix progression when the kissing complex progresses to a four-way helical junction structure. Another structural element in CopT is the helical stem adjacent to the recognition loop. This stem is important to present the recognition loop appropriately to provide a scaffold for the U-turn. Furthermore, the role of protein Hfq in the interaction of antisense/target RNA was investigated, since several trans-encoded antisense RNAs had been shown to need this protein to exert their function. In contrast, studies of two cis-encoded antisense RNA systems showed that these antisense RNAs do not rely on Hfq for activity. In this study it was also shown that MicF, a trans-encoded antisense RNA which is dependent on Hfq, is greatly stabilized by this protein.

Hepatocellular carcinoma (HCC) is the most common form of primary liver cancer, ranking the sixth most common cancer and third most common cause of cancer mortality worldwide. Alpha-fetoprotein (AFP) is a plasma protein that is highly expressed in the fetal liver and shut off after birth. AFP expression is elevated in regenerating adult liver and HCC and has been used extensively as a diagnostic marker of liver cancer. We have been studying mouse liver gene regulation to better understand mechanisms by which changes in gene expression contribute to liver development, homeostasis and disease. Zinc Fingers and Homeoboxes 2 (Zhx2) has been identified as a repressor of AFP, but the mechanism of this regulation remains unknown. Interestingly, all targets of Zhx2 that have been identified to date, including H19, Glypican 3, Elovl3 and Cytochrome P450 (CYP) genes, are also known to be misregulated in HCC. Thus, a better understanding of the mechanism by which these genes are regulated by Zhx2 will likely lead to new insights into gene regulation during HCC progression. Antisense transcripts belong to a diverse class of long noncoding RNA molecules > 200 nucleotides in length that often structurally resemble mRNAs, but do not encode proteins. While studying AFP mRNA regulation by Zhx2 in the mouse, our lab identified novel antisense AFP (asAFP) RNA transcripts that partially overlap the 3’ half of the mouse AFP gene. ENCODE tracks of ChIP-seq data for histone modifications in mouse liver show that the genomic region around the 5’ end of asAFP RNA has peaks for marks associated with promoters and enhancers. To better understand asAFP regulation, I identified the asAFP RNA 5’ end and the promoter elements that drive transcription. asAFP RNAs are ~5kb alternatively spliced, mainly cytoplasmic transcripts containing 2-4 exons. These transcripts were also detected in adult mouse liver RNA-seq data. asAFP is likely a noncoding RNA because it contains several small open reading frames that are 98 aa or smaller with no known functional domains or homology to known proteins. There is no evidence for similar transcripts in human liver. The abundance of asAFP RNA inversely correlates with AFP mRNA levels during postnatal liver development. Normally, asAFP RNA levels are high and AFP mRNA levels are low in the adult mouse liver. However, in the absence of Zhx2, AFP mRNA levels are higher and asAFP RNA levels are reduced, suggesting asAFP may be involved in the developmental regulation of AFP. Antisense transcripts function through a variety of mechanisms to positively or negatively regulate the expression of target genes. To explore the role of asAFP RNA in AFP gene regulation, I expressed segments of asAFP RNA in a mouse liver cell line and measured endogenous AFP mRNA levels. My data revealed that all segments of asAFP repressed endogenous AFP mRNA in trans. To determine the mechanism by which asAFP RNA regulates AFP, I expressed asAFP segments that overlapped only with exons or introns of AFP. The asAFP segments that overlap with the exons showed greater repression of endogenous AFP mRNA levels than those overlapping with intronic sequences. Additionally, I considered whether asAFP RNA repression of AFP mRNA may involve RNA editing by Adenosine deaminase acting on RNA (ADAR). ADARs convert adenosine to inosine in double-stranded RNAs that results in RNA degradation. My data indicate that AFP and asAFP dsRNA is not extensively edited, suggesting ADAR mediated decay is not involved in the regulation of AFP mRNA expression. However, further studies are required to determine the mechanism of cytoplasmic AFP mRNA degradation. Together, my data characterizes the transcriptional regulation of novel mouse asAFP transcripts and provides a model system to investigate how these transcripts regulate AFP mRNA through RNA-RNA interaction.

京都大学 / 0048 / 新制・課程博士 / 博士(医学) / 甲第22348号 / 医博第4589号 / 新制||医||1042(附属図書館) / 京都大学大学院医学研究科医学専攻 / (主査)教授 小柳 義夫, 教授 中川 一路, 教授 伊藤 貴浩 / 学位規則第4条第1項該当 / Doctor of Medical Science / Kyoto University / DFAM

Motivation: Understanding how nucleic acids interact is essential for understanding their function. Controlling these interactions, for example, can allow us to detect diseases and create new therapeutics. During quantitative reverse-transcription polymerase chain reaction (qRT-PCR) testing, having nucleic acids interact as designed is essential for ensuring accurate test results. Accurate testing is an important consideration during the detection of COVID-19, the disease caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Results: I introduced the program DinoKnot (Duplex Interaction of Nucleic acids with pseudoKnots) that follows the hierarchical folding hypothesis to predict the secondary structure of two interacting nucleic acid strands (DNA/RNA) of similar or different type. DinoKnot is the first program that utilizes stable stems in both strands as a guide to find the structure of their interaction. Using DinoKnot, I predicted the interaction structure between the SARS-CoV-2 genome and nine reverse primers from qRT-PCR primer-probe sets. I compared these results to an existing tool RNAcofold and highlighted an example to showcase DinoKnot’s ability to predict pseudoknotted structures. I investigated how mutations to the SARS-CoV-2 genome may affect the primer interaction and predicted three mutations that may prevent primer binding, reducing the ability for SARS-CoV-2 detection. Interaction structure results pre- dicted by DinoKnot that showed disruption of primer binding were consistent with a clinical example showing detection issues due to mutations. DinoKnot has the potential to screen new SARS-CoV-2 variants for possible detection issues and support existing applications involving DNA/RNA interactions, such as microRNA (miRNA) target site prediction, by adding structural considerations to the interaction to elicit functional information. / Graduate

Pour préserver l’intégrité de leur génome, les virus multipartite à ARN nécessitent une forte multiplicité d’infection qui représente un coût biologique inapproprié en terme de réplication virale. Dans cette étude, un réseau d’interaction entre ARN génomiques (ARNg), constitué d’au moins un type de chaque ARNg est proposé. Un tel réseau permet de réduire les coûts biologiques liés à la réplication en assurant une reconnaissance intermoléculaire et une mobilisation d’un complexe RNP modulaire maintenant l’intégrité du génome. Un tel complexe est considéré comme l’unité infectieuse mobile assurant la dissémination du virus dans la plante entière. Le but de cette thèse a été de démontrer l’existence d’interactions entre les ARNg du beet necrotic yellow vein virus (BNYVV) et de déterminer l’incidence de ces interactions sur le cycle viral. Une formule génomique a été déterminée pour différentes plantes et tissus. Les ARNg ont tous été co-détectés dans des cellules isolées issues de tissus infectés. Un domaine d’interaction entre l’ARN1 et 2 a été identifié in vitro et in silico puis évaluée in vivo par des approches de mutagenèse et de complémentation. / Multipartite RNA virus condition to provide a complete set of genomic segments in each infected cell implies a high level of MOI that results in an unsustainable biological cost in terms of viral replication. In the proposed model, to minimize the cost of the genome integrity preservation, a network of RNA/RNA interactions determines the recognition and the mobilization of at least one of each genomic RNAs in a modular RNP complex. Such complex must be considered as the mobile infectious unit of the segmented genome during viral spread in the plant. The Aim of this thesis was to experimentally determine the existence of RNA/RNA interactions between BNYVV RNAs and their implication in the viral cycle. BNYVV genomic segments have been co-detected within isolated single cells from systemic tissues where they accumulate to reach set point genome formulas. In the model where vRNAs interact each other to form the minimal mobile infective unit, RNA1 and RNA2 interaction domain has been identified in silico and in vitro. The rationale of such an interaction has been provided in vivo using BNYVV and Beet soil-borne mosaic virus chimeras.

La grippe, infection respiratoire virale fréquente, est due aux virus Influenza. Leur génome est constitué par huit molécules d’ARN de polarité négative retrouvés sous la forme de complexe ribonucléique (RNPv). Au cours du cycle viral, il a été démontré que les régions terminales des segments de gène étaient cruciales pour l’incorporation sélective des huit RNPv à l’intérieur des particules virales. Par des techniques d’interaction in vitro et de tomographie électronique, nous avons montré que les segments de gène du virus H3N2 interagissaient entre eux par des interactions ARN/ARN impliquant leurs régions de packaging. Nos résultats suggèrent que la mise en place de ce réseau permettrait la formation d’un complexe supra macromoléculaire multi-segmenté permettant l’incorporation d’un jeu complet des huit RNPv dans les particules virales néosynthetisées. En raison de la nature segmentée du génome viral, des phénomènes de réassortiment génétique peuvent avoir lieu lors d’une co-infection. Afin de définir les mécanismes responsables de la restriction observée lors de ce phénomène, nous avons évalué le taux de réassortiment génétique in vitro entre le virus humain H3N2 et le virus aviaire H5N2. Nos résultats suggèrent que le mécanisme gouvernant l’incorporation sélective des segments de gènes, régulerait le réassortiment génétique. Nous avons montré que la modulation de l’interaction ARN/ARN entre les segments de gènes HA et M permet d’augmenter le taux d’incorporation du segment de gène HA H5 dans le fond génétique du virus humain, prérequis pour l’émergence de virus pandémique / The Flu is a frequent viral infectious disease caused by the Influenza viruses. Their genomes are composed by eight negative single-stranded RNA organised as vRNPs. During the viral cycle, the terminal non-coding and coding regions of viral genome have been shown to be crucial for the selective incorporation of a complete set of the eight vRNPs into influenza viral particles. Band shift assay and electron tomography allowed us to show that all gene segments interact together by RNA/RNA interactions involving their packaging region. Our results suggest that the eight genomic vRNAs are selected and packaged as an organized supramolecular complex held together between identified packaging regions into neosynthesized virions. Due to genome segmented nature, genetic reassortment can occur during co-infection. In order to identify molecular mechanisms responsible for the observed restriction during the genetic reassortment, we have developed a new competitive reverse genetic strategy allowing us to evaluate the genetic reassortment between H3N2 and H5N2 viruses. Our results suggest that mechanism controlling the packaging should regulate genetic reassortment. We have shown that the modulation of RNA/RNA interaction between HA and M gene segment have allowed us to increase HA H5 gene segment incorporation rate into a viral human genetic background, prerequisite for pandemic virus emergency

Les huit ARN viraux (ARNv) génomiques des influenzavirus de type A sont sélectivement empaquetés dans les virions, vraisemblablement sous la forme d’un complexe supramoléculaire maintenu par des appariements ARN/ARN entre signaux d’empaquetage. Afin d’améliorer la compréhension des règles qui gouvernent ce mécanisme, nous avons déterminé le réseau d’interactions formé entre les ARNv de la souche modèle de laboratoire A/Puerto Rico/8/34 (H1N1). Nous avons ensuite défini, au nucléotide près et par deux approches in vitro, les séquences des ARNv impliquées dans la formation de certaines interactions. Le rôle fonctionnel de deux d’entre elles a été testé en contexte infectieux. Nous avons également poursuivi l’étude d’une interaction identifiée au laboratoire entre deux ARNv de la souche A/Moscou/10/99 (H3N2) circulante. Enfin, nous avons collaboré avec le Dr L. Brown (Australie) sur l’étude du rôle d’une interaction entre deux ARNv de la souche A/Udorn/307/72 (H3N2). / The genome of influenza A viruses comprises eight viral RNAs (vRNAs) likely to be selectively packaged into progeny virions as organized supramolecular complexes where vRNAs are held together by base pairing within the packaging signals. To better understand the rules governing this mechanism, we investigated the vRNA/vRNA interaction network of the A/Puerto Rico/8/34 (H1N1) strain. We then identified, at the nucleotide level, using two in vitro approaches, the vRNA sequences involved in several of the interactions. Two of them were functionally tested in an infectious context. We also studied an interaction previously identified in the laboratory between two vRNAs belonging to the circulating A/Moscow/10/99 (H3N2) strain. Finally, we collaborated with Dr L. Brown (Australia) in order to assess the role of an interaction between two vRNAs of the A/Udorn/307/72 (H3N2) strain.