Plant hormones and their gene regulatory networks orchestrate a diverse array of metabolic and physiological changes crucial for growth, development, and environmental responses. Targeting the engineering of hormone signaling networks holds promise for enhancing plant health, crop productivity, and vigor. However, these networks are intricate, featuring negative feedback loops, extensive interconnections between pathways, pleiotropy, and overlapping gene expression. These complexities pose challenges in identifying candidate genes and parsing apart their isolated functions that could be strategically engineered to achieve desired plant phenotypes. Integration of comparative evolution, synthetic biology, and expression analysis facilitates the deconstruction of these networks. Through systems biology approaches data dimensionality can be reduced, enabling the attribution of specific phenotypes to associated genes. Here, I reviewed how the employment of these above-mentioned approaches can aid in the identification of candidate genes involved the regulation of growth and development within specific tissues, and how through synthetic biology we can explore the sequence-function space of candidate genes and their pathway modules. Candidate genes identified through this process can be evaluated through comparative evolutionary approaches, and efficiently tested in synthetic systems for engineering of their molecular functionalities in a high-throughput manner. Here, as a case study, I employ a systems biology approach to identify tissue-specific candidate genes within the auxin regulatory network in soybean shoot development. This method aims to minimize pleiotropy and off-target effects by utilizing expression analysis tissue-specificity score and principal component analysis. I primarily, focused on three pivotal components of the nuclear auxin signaling pathway: Aux/IAA transcriptional repressors, ARF transcription factors, and TIR1/AFB auxin receptors. These components collectively modulate auxin signaling, influencing various growth and environmental responses. I identified genes within the three pivotal components of auxin signaling involved in early shoot architecture development, which has advantages from weed suppression to yield in soybean cultivation. I used a yeast chassis to investigate the function of pleiotropic auxin receptors, which primarily regulate Aux/IAA levels and orchestrate transcriptional changes in response to auxin. I explored whether these receptors modulate auxin response in a concerted fashion, as they are generally not tissue specific. Here, I reported that auxin receptors interact in an epistatic manner to modulate auxin response. This case of study serves as a foundation in engineering plant genotype-phenotype via auxin signaling. / Doctor of Philosophy / Plant hormones are essential for controlling various processes that drive plant growth, development, and responses to the environment. Scientists are exploring ways to engineer the networks that regulate these hormones to improve plant health, boost crop yields, and enhance plant strength. However, these networks are complex, with many interacting parts, making it difficult to identify which genes to modify to achieve specific outcomes in plants. To tackle this challenge, researchers use a combination of approaches, including studying how these networks have evolved, analyzing large amounts of biological data, and using synthetic biology to test and refine their findings. By breaking down the complexity of these networks, they can link specific genes to particular plant traits. Once these genes–trait links are identified, they can be further tested and engineered to optimize plant characteristics. In this study, I focused on the auxin hormone, which plays a key role in numerous aspects of plant growth including soybean shoot development and Arabidopsis root development. I looked at three main components of the auxin regulatory network: Aux/IAA proteins (which act as repressors), ARF transcription factors (which control gene expression), and TIR1/AFB receptors (which detect auxin levels). These components work together to regulate how plants grow and respond to their environment. I identified key genes within these main auxin components that are important for early development of soybean shoots and minimizes off-target effects. This can help improve soybean farming by enhancing weed control and enhancing crop yields Using a synthetic biology yeast system, I studied the function of TIR1/AFB auxin receptors and how this family of receptors interact to perceive auxin and control the levels of Aux/IAA proteins, consequently controlling the plant's growth in response to auxin. I found that auxin receptors work in concert in a way that reduces their overall effect on the plants response to auxin. This research lays the groundwork for future efforts to engineer plant traits by modifying the auxin signaling pathway, which could lead to improved crop performance and resilience.

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

Mechanical stiffening of the interstitial space in the lung – the protein-rich extracellular space between the alveoli and capillaries – plays an important role in modulating epithelial cell behaviors that contribute to cancer and idiopathic pulmonary fibrosis (IPF) disease etiologies. However, the effects of substrate stiffness and breathing-like stretch are not well understood in the context of cancer. In this thesis project, we utilize RNA sequencing to understand how the mechanical properties of extracellular environments modulate cancer related cells. To accomplish this goal, we examined the behavior of lung cancer derived A549 cells, cells that have epithelial lineages, on a biomimetic lung-on-a-chip devices. Importantly, our biomimetic devices allow us to modulate the stiffness of the interstitial space to have soft properties similar to those observed in healthy lung and stiff properties mimicking fibrotic tissues. After growing A549 cells on our biomimetic devices and plastic plate controls, we extracted and purified RNA for mRNA sequencing to examine differential gene expression. Subsequent gene ontology analysis found that differentially expressed genes are involved in cell cycle, metabolism, and cell migration. Connecting these pathways using KEGG analysis we identified pathways of downregulated or upregulated genes related to cancer and metastasis. Based on these results, changes in the interstitial stiffness surrounding A549 cells can change their behaviors and lead to activation of cancer pathways.

Yes / Maintenance of skeletal muscle mass and function is critical to health and wellbeing throughout the lifespan. However, disuse through reduced physical activity (e.g., sedentarism), immobilisation, bed rest or microgravity has significant adverse effects on skeletal muscle health. Conversely, resistance exercise training (RET) induces positive muscle mass and strength adaptations. Several studies have employed microarray technology to understand the transcriptional basis of muscle atrophy and hypertrophy after disuse and RET, respectively, to devise fully effective therapeutic interventions. More recently, rapidly falling costs have seen RNA-sequencing (RNA-seq) increasingly applied in exploring muscle adaptations to RET and disuse. The aim of this review is to summarise the transcriptional responses to RET or disuse measured via RNA-seq in young and older adults. We also highlight analytical considerations to maximise the utility of RNA-seq in the context of skeletal muscle research. The limited number of muscle transcriptional signatures obtained thus far with RNA-seq are generally consistent with those obtained with microarrays. However, RNA-seq may provide additional molecular insight, particularly when combined with data-driven approaches such as correlation network analyses. In this context, it is essential to consider the most appropriate study design parameters as well as bioinformatic and statistical approaches. This will facilitate the use of RNA-seq to better understand the transcriptional regulators of skeletal muscle plasticity in response to increased or decreased use.

[ES] Uno de los aspectos más apasionantes de la transcripción es la plasticidad transcriptómica y proteómica mediada por los procesos de regulación post-transcripcional (PTR). Los mecanismos PTR como el splicing alternativo (AS) y la poliadenilación alternativa (APA) han emergido como procesos estrechamente regulados que juegan un papel clave en la generación de la complejidad transcriptómica y están asociados con la coordinación de la diferenciación celular o el desarrollo de tejidos. Sin embargo nuestro conocimiento sobre cómo estos mecanismos regulan las propiedades de los productos resultantes para definir el fenotipo es aún muy reducido. La cantidad de variantes existentes y el amplio rango de posibles consecuencias funcionales, hacen su validación funcional una tarea impracticable si se realiza caso por caso. Además, la falta de herramientas para la evaluación funcional orientada a isoformas ha provocado que gran parte del trabajo computacional haya empleado pipelines ad-hoc aplicadas a sistemas biológicos específicos o simplemente hayan confiado en análisis de enriquecimiento GO, los cuales no son informativos del impacto en las propiedades de las isoformas que hay detrás de la regulación PTR. De hecho, a pesar de las más de sesenta mil publicaciones relativas al AS, muy pocas isoformas se han asociado con propiedades específicas, mientras que el número de nuevas variantes AS/APA con function desconocida crece exponencialmente debido a las técnicas de secuenciación de segunda generación (NGS). Además, y debido a limitaciones técnicas de las NGS para reconstruir la estructura de los transcritos, las tecnologías de secuenciación de tercera generación (TGS) están definiendo una nueva era en la que, por primera vez, es posible conocer la secuencia de elementos estructurales y funcionales en los mRNAs. En esta tesis se han abordado tres propósitos principales para poder avanzar en el estudio funcional de las isoformas. En primer lugar, con las TGS siendo cada vez más utilizadas, la evaluación de la calidad de los transcriptomas \textit{de novo} es esencial para asegurar la fiabilidad de la diversidad transcriptómica encontrada. La falta de análisis de calidad orientados a secuencias largas ha motivado el desarrollo de SQANTI, una pipeline automatizado para la exhaustiva evaluación de TGS transcriptomas. En segundo lugar, la información a nivel de gen de la mayoría de bases de datos funcionales sigue siendo el principal escollo para el estudio de la variabilidad entre isoformas, especialmente en el caso de las isoformas nuevas, en las que las bases de datos estáticas impiden su caracterización. Así, hemos diseñado IsoAnnot, que construye una base de datos de anotaciones funcionales con resolución a nivel de isoformas integrando información diseminada por múltiples bases de datos y métodos de predicción. Finalmente, la indisponibilidad de métodos para estudiar el impacto funcional de la regulación de isoformas, nos ha motivado a desarrollar tappAS, una herramienta dinámica, flexible y diseñada para facilitar el abordaje de este tipo de estudios. Por lo tanto, durante esta tesis hemos desarrollado una infraestructura que resuelve los retos principales del análisis funcional de isoformas, proporcionando un conjunto de nuevos métodos y herramientas que ofrecen una oportunidad única para explorar cómo el fenotipo se especifica post-transcripcionalmente, mediante la alteración de las propiedades funcionales de las isoformas expresadas. La aplicación de nuestro análisis a un doble sistema de diferenciación neuronal en ratón definió el efecto de la regulación de isoformas entre la diferenciación de motoneuronas y oligodendrocitos para múltiples elementos funcionales. Entre ellos, hemos descubierto regiones transmembrana que son diferencialmente incluidas en las isoformas expresadas entre ambos tipos celulares y cuya regulación podría estar contribuyendo al control de / [CA] Un dels aspectes més emocionants de la biologia del transcriptoma és l'adaptabilitat contextual de transcriptomes i proteomes eucariotes mitjançant la regulació post-transcripcional (PTR). Els mecanismes PTR, com el splicing alternatiu (AS) i la poliadenilació alternativa (APA), s'han convertit en processos molt regulats que juguen un paper clau en la generació de la complexitat del transcriptoma i en la coordinació de la diferenciació cel·lular o del desenvolupament de teixits. No obstant això, el nostre coneixement de com aquests mecanismes imprimeixen característiques funcionals diferents al conjunt resultant d'isoformes per definir el fenotip observat és encara escàs. El nombre de variants de PTR i les seues conseqüències potencialment funcionals fa que la validació funcional sigui una tasca poc pràctica si es fa cas per cas. A més, la manca d'enfocaments funcionals orientats a isoformes ha fet que gran part del treballs computacionals per esbrinar qüestions funcionals a nivell de transcriptoma siguen estratègies computacionals ad hoc aplicades a sistemes biològics específics o bé basats en un simple anàlisi d'enriquiment GO, que no aporten informació sobre l'impacte de la PTR sobre les propietats de les isoformes. Així, malgrat les més de 60.000 publicacions existents sobre AS, poques de les isoformes existents s'han associat a propietats específiques, mentre que el nombre de noves variants AS/APA amb funcions desconegudes i fins i tot inexplorades augmenta de manera exponencial gràcies a la seqüenciació de nova generació (NGS). A causa de les limitacions tècniques del NGS per reconstruir l'estructura dels transcrits, la seqüenciació d'alt rendiment de transcrits de longitud completa mitjançant tecnologies de tercera generació (TGS) obre una nova era en la transcriptòmica, ja que millora la definició dels models genètics i, per primera vegada, permet associar amb precisió esdeveniments funcionals dins de la molècula d'ARN. Aquesta tesi aborda tres grans reptes per a progressar en l'estudi de la funció de les isoformes. En primer lloc, amb l'aparició i la popularitat creixent del TGS, la definició precisa i la caracterització completa dels transcriptomes de novo són essencials per garantir la qualitat de qualsevol conclusió sobre la diversitat del transcriptoma. La manca d'anàlisis de qualitat orientats a lectures llargues va motivar el desenvolupament de SQANTI (https://bitbucket.org/ ConesaLab / sqanti), una estratègia computacional automatitzada per a la caracterització estructural i l'avaluació de la qualitat dels transcriptomes de longitud completa. En segon lloc, els recursos funcionals existents centrats en el gen suposen una gran limitació per a l'estudi extensiu de la variabilitat funcional de les isoformes, especialment en les noves isoformes, que no es poden caracteritzar per bases de dades estàtiques. Per tant, vam dissenyar IsoAnnot, que construeix dinàmicament una base de dades amb anotacions funcionals a nivell d'isoforma, que utilitza com a informació d'entrada les seqüències dels transcrits i integra informació de diverses bases de dades i mètodes de predicció. Finalment, com no hi havia cap mètode per interrogar l'impacte funcional del PTR, vam desenvolupar nous enfocaments i eines fàcils d'utilitzar, com ara tappAS (http://tappas.org/), dissenyada per facilitar als investigadors els estudis funcionals de transcriptoma complet i de regulació d'isoformes en contexts específics. Per tant, aquesta tesi descriu el desenvolupament d'un marc d'anàlisi que aborda els reptes fonamentals de l'anàlisi funcional d'isoformes. Aplicada a un sistema de diferenciació neuronal murina, vam descobrir regions transmembrana específiques d'isoformes, la modulació de les quals per PTR podria contribuir a controlar la dinàmica mitocondrial específica del tipus cel·lular durant la determinació del destí neuronal. / [EN] One of the most exciting aspects of transcriptome biology is the contextual adaptability of eukaryotic transcriptomes and proteomes by post-transcriptional regulation (PTR). PTR mechanisms such as alternative splicing (AS) and alternative polyadenylation (APA) have emerged as tightly regulated processes playing a key role in generating transcriptome complexity and coordinating cell differentiation or tissue development. However, how these mechanisms imprint distinct functional characteristics on the resulting set of isoforms to define the observed phenotype remains poorly understood. The number of PTR variants and their resulting range of potentially functional consequences makes their functional validation an impractical task if done on a case-by-case basis. Besides, the lack of isoform-oriented functional profiling approaches has made that much of the computational work done to elucidate transcriptome-wide functional questions has either involved ad hoc computational pipelines applied to specific biological systems or has relied on simple GO-enrichment analysis that are not informative about the PTR impact on isoform properties. Thus, even though more than 60,000 publications on AS, a few number of existing isoforms have been associated with specific properties while the number of novel AS/APA variants with unknown and even unexplored functions is exponentially increasing thanks to the use of next-generation sequencing (NGS). Due to the technical limitations of NGS to reconstruct the transcript structure, high-throughput sequencing of full-length transcripts using third-generation technologies (TGS) is opening up a new transcriptomics era that enhances the definition of gene models and, for the first time, enables to precisely associate functional events within the RNA molecule. This thesis addresses three major challenges to the progression of the study of isoform function. First, with the emergence and increasing popularity of TGS, the accurate definition and comprehensive characterisation of de novo transcriptomes is essential to ensure the quality of any conclusions on transcriptome diversity drawn from these data. The lack of long-read oriented quality aware analysis motivated the development of SQANTI \url{(https://bitbucket.org/ConesaLab/sqanti)}, an automated pipeline for the structural characterization and quality assessment of full-length transcriptomes. Secondly, the gene-centric nature of functional resources remained the major limitation to the extended study of functional isoform variability, especially for novel isoforms, which cannot be characterised by static databases. Thus, we designed IsoAnnot, which dynamically constructs an isoform-resolved rich database of functional annotations by using as input transcript sequences and integrating information disseminated across several databases and prediction methods. Finally, because no methods to interrogate the functional impact of PTR were available, we developed novel approaches and user-friendly tools such as tappAS \url{(http://tappas.org/)}, designed to facilitate researchers the transcriptome-wide functional study of context-specific isoform regulation. Thereby, this thesis describes the development of an analysis framework that tackles the fundamental challenges of the isoform functional analysis by providing a set of novel methods and tools that offer an unique opportunity to explore how the phenotype is specified by altering the functional characteristics of expressed isoforms. Applied to a murine neural differentiation system, our pipeline profiled the effect of isoform regulation on the inclusion of several functional elements within transcripts between motor-neuron and oligodendrocyte differentiation systems and specifically, we discovered isoform-specific transmembrane regions whose modulation by PTR might contribute to control cell type-specific mitochondrial dynamics during neural fate determination. / This work was funded by the following grants: From 2014 to 2018. FPU: Training programme for Academic Staff. Spanish Ministry of Education, FPU2013/02348. From 2016 to 2019. NOVELSEQ: Novel methods for new challenges in the analysis of high-throughput sequencing data. MINECO, BIO2015-1658-R. From 2014 to 2017. DEANN: Developing a European American NGS Network. EU Marie Curie IRSES, GA-612583. / Fuente Lorente, LDL. (2019). Development of a bioinformatics approach for the functional analysis of alternative splicing [Tesis doctoral]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/124974

Yes / The ability of skeletal muscle to adapt to eccentric contractions has been suggested to be blunted in older muscle. If eccentric exercise is to be a safe and efficient training mode for older adults, preclinical studies need to establish if older muscle can effectively adapt and if not, determine the molecular signatures that are causing this impairment. The purpose of this study was to quantify the extent age impacts functional adaptations of muscle and identify genetic signatures associated with adaptation (or lack thereof). The anterior crural muscles of young (4 mo) and older (28 mo) female mice performed repeated bouts of eccentric contractions in vivo (50 contractions/wk for 5 wk) and isometric torque was measured across the initial and final bouts. Transcriptomics was completed by RNA-sequencing 1 wk following the fifth bout to identify common and differentially regulated genes. When torques post eccentric contractions were compared after the first and fifth bouts, young muscle exhibited a robust ability to adapt, increasing isometric torque 20%-36%, whereas isometric torque of older muscle decreased up to 18% (P ≤ 0.047). Using differential gene expression, young and older muscles shared some common transcriptional changes in response to eccentric exercise training, whereas other transcripts appeared to be age dependent. That is, the ability to express particular genes after repeated bouts of eccentric contractions was not the same between ages. These molecular signatures may reveal, in part, why older muscles do not appear to be as adaptive to exercise training as young muscles.NEW & NOTEWORTHY The ability to adapt to exercise training may help prevent and combat sarcopenia. Here, we demonstrate young mouse muscles get stronger whereas older mouse muscles become weaker after repeated bouts of eccentric contractions, and that numerous genes were differentially expressed between age groups following training. These results highlight that molecular and functional plasticity is not fixed in skeletal muscle with advancing age, and the ability to handle or cope with physical stress may be impaired.

Resistenzen von Tumoren gegenüber der Behandlung mit Chemotherapeutika stellen ein wesentliches Hindernis für eine erfolgreiche Therapie in der onkologischen Klinik dar. Ein Verständnis der biologischen Mechanismen auf molekularer Ebene, die zu diesen Resistenzphänomenen führen, ist daher von entscheidender Bedeutung, um Strategien zu entwickeln, die darauf zielen, eine Therapieresistenz zu überwinden. Um diesem Ziel näher zu kommen, wurden im Verlaufe dieser Arbeit verschiedene Modelle aus unterschiedlichen Tumoren entwickelt und analysiert, die im Zellkultursystem Chemoresistenzen von neoplastischen Geweben simulieren. In einem ersten Schritt wurden diese in vitro Systeme zellbiologisch hinsichtlich dem Vorhandensein von verschiedenen, aus der wissenschaftlichen Literatur bekannten Resistenzmechanismen, charakterisiert. Hierbei konnte neben der verstärkten Expression von ABC-Transportern, wie P-Glykoprotein (P-Gp), "Breast Cancer Resistance Protein" (BCRP) sowie "canalicular Multispecific Organic Anion Transporter" (cMOAT), eine intrazelluläre Kompartimentierung von Zytostatika, Modulation der Aktivität von DNA-Topoisomerasen II (Topo II) sowie Veränderungen in der Aktivität von DNA-Reparatursystemen, wie z.B. dem DNA-Mismatch Repair System (DMM) oder der O6-Methyguanin-Methytransferase (MGMT) in resistenten Zellen wiedergefunden werden. Die Aktivierung dieser Mechanismen reichte jedoch nicht aus, das komplexe Geschehen von unterschiedlichen Kreuzresistenzen in den Zellen zu erklären. Es wurde daher gezielt nach neuen Resistenzmechanismen gesucht. Dafür wurden zwei unterschiedliche Strategien verfolgt: 1. Suche nach neuen Resistenz-assoziierten Faktoren auf Ebene der zellulären mRNA Expressionsprofile ("Transcriptomics"), sowie 2. Suche nach neuen Resistenz-assoziierten Faktoren auf Ebene der zellulären Proteinexpression ("Proteomics"). Mittels beider experimentellen Ansätze konnten mehrere Faktoren identifiziert werden, die potentiell neue Resistenzmechanismen in Tumorzellen vermitteln können. Für die Faktoren Glypican-3 (GPC3), DFNA5 und "Transporter associated with Antigen Presentation" (TAP) konnten funktionelle Analysen nachweisen, daß diese am Resistenzgeschehen beteiligt sind. Zur Überwindung von Chemoresistenzen, wurde neben dem Einsatz konventioneller chemischer Substanzen, eine gentherapeutische Strategie, die Ribozymtechnologie, gewählt. In dieser Arbeit wurden Ribozyme gegen GPC3 sowie die ABC-Transporter BCRP und cMOAT entwickelt. / Resistance to antitumor chemotherapy is a common problem in patients with cancer and a major obstacle to effective treatment of disseminated neoplasms. An understanding of the molecular mechanisms leading to these resistance phenomena is of vital interest to develop strategies to overcome therapy resistance in clinics. In order to gain further insides into the biological mechanisms mediating drug resistance, in this study various cell culture models derived from different origins were established and analyzed in detail. At first, these in vitro models were investigated concerning the activity of drug resistance mechanisms that were described in the scientific literature previously. By this approach the enhanced expression of the ABC-transporters P-glycoprotein (P-gp), "breast cancer resistance protein" (BCRP) and "canalicular multispecific organic anion transporter" (cMOAT) could be observed. In addition, an intracellular compartmentalization of the antineoplastic agents, a modulation of the activities of DNA-topoisomerases II (Topo II), and altered activities of DNA-repair systems, such as the DNA-mismatch repair system (DMM) or O6-methyguanine methyltransferase (MGMT) were detected. However, since the activation of these mechanisms do not explain all of the cross resistance pattern observed in these cell systems, other additional mechanisms must be operating in the drug-resistant cells. In order to identify potential new molecular mechanisms involved in drug resistance, in this study two different experimental strategies were performed: 1. Search of new resistance-associated factors on the level of the cellular mRNA expression profiles ("transcriptomics"), and 2. Search of new resistance-associated factors on the level of cellular protein expression ("proteomics"). By applying both experimental strategies, several cellular factors could be identified that potential play a role in drug resistance of tumor cells. Functional evidence was provided for glypican-3 (GPC3), DFNA5 and "transporter associated with antigen presentation" (TAP) to be involved in drug-resistant phenotypes. To overcome drug resistance, a gene therapeutic approach, a hammerhead ribozyme-based technology, was developed. In this study various ribozymes directed against GPC3 and the ABC-transporters BCRP and cMOAT were constructed.

<p dir="ltr">Neurotrauma encompasses a broad category of injuries affecting the central nervous system (CNS), which includes both the traumatic brain injury (TBI) and spinal cord injury (SCI). These injuries can result from various causes, including accidents, falls, sports-related incidents, and other traumatic events, affecting millions of individuals annually. Traumatic injuries are the leading cause of disability, and moreover are associated with elevated risk of developing cognitive impairments and neurodegenerative diseases (ND) such as Alzheimer’s Disease (AD) and Parkinson’s Disease (PD). The elevated ND risk arising from neurotrauma poses significant burdens on healthcare systems and affect life quality of affected individuals, emphasizing the critical need for research aimed at understanding the underlying mechanisms conferring ND risk from the lesion center to CNS. The goal of my thesis is to understand persistent molecular changes post SCI associated with ND using a combination of a rat animal model and neuronal cultures derived from human induced pluripotent stem cells.</p><p dir="ltr">I started with Sprague-Dawley rats with T10 spinal cord contusive injury; and assessed immediate and persistent changes in transcriptomic and epigenetic markers via next generation sequencing (NGS) at primary lesion site and distal spinal cord tissue. Along with global changes in chromatin arrangements and DNA methylation, we observed significant transcriptomic changes enriched for pathways of inflammatory responses, and synaptogenesis. These changes were further verified using immunohistochemistry and super resolution microscopy. To further understand the long-term brain abnormality linked to SCI, we investigated persistent alterations in the composition and molecular profiles of both the male and female motor cortex 30 days after injury. Immunohistochemistry revealed that SCI leads to neuronal loss and changes in synaptic density and morphology; and significant alterations in the neuron-astrocyte ratio and astrocyte morphology, in male motor cortex supporting our hypothesis that SCI may increase the risk of neurodegeneration by affecting the motor cortex. Comparison of transcriptomic data collected at a sub-acute stage in male rats, namely 7 days post injury, with 30 days post injury, identified persistent and de novo changes that occur primarily after recovery of spinal cord injury, which are enriched for neuronal and synaptic function related pathways. Interestingly, neuroendocrine-related pathways were prominently implicated at the chronic stage of SCI, with Esr1 identified as a major upstream regulator offering protective effects in females that did not exhibit significant alterations in cellular composition or morphology after SCI. Collectively, our study paved the way towards understanding sexual dimorphism in brains after spinal cord injury and provides a plausible connection between spinal cord injury and neurodegeneration later in life that were further investigated using a humanized culture model.</p><p dir="ltr">We established the feasibility of using hiPSC derived neurons to examine long term neurotoxic mechanism using lead (Pb) as a model chemical with strong associations with elevated AD risks later in life. A similar culture system was then used to assess persistent neurotoxicity of acrolein, a chemical that is known to emerge in brains post traumatic injury. We found that acrolein induced alterations in neuronal network morphology, synaptic density, and excitability. Furthermore, acrolein exposure negatively impacted mitochondrial function and persistently altered neuronal resilience towards a secondary stressor of mitochondria, namely MPP+. Acrolein exposure also alters the expression of tau and tau phosphorylation which collectively result in increased cellular vulnerability toward paired helical filament (PHF-tau) seeding, a known neurotoxin associated with ND. These findings collectively provide molecular insights as to how acrolein can partake alterations in neural function and resilience to stressors; and relay ND risks in neurotrauma patients later in life.</p><p dir="ltr">In conclusion, our comprehensive investigation employing both rat and hiPSC models uncovers plausible molecular pathways connecting SCI to neurodegenerative diseases, providing insights into the enduring consequences of these injuries on affected patients.</p>

BACKGROUND:The rhizome, the original stem of land plants, enables species to invade new territory and is a critical component of perenniality, especially in grasses. Red rice (Oryza longistaminata) is a perennial wild rice species with many valuable traits that could be used to improve cultivated rice cultivars, including rhizomatousness, disease resistance and drought tolerance. Despite these features, little is known about the molecular mechanisms that contribute to rhizome growth, development and function in this plant.RESULTS:We used an integrated approach to compare the transcriptome, proteome and metabolome of the rhizome to other tissues of red rice. 116 Gb of transcriptome sequence was obtained from various tissues and used to identify rhizome-specific and preferentially expressed genes, including transcription factors and hormone metabolism and stress response-related genes. Proteomics and metabolomics approaches identified 41 proteins and more than 100 primary metabolites and plant hormones with rhizome preferential accumulation. Of particular interest was the identification of a large number of gene transcripts from Magnaportha oryzae, the fungus that causes rice blast disease in cultivated rice, even though the red rice plants showed no sign of disease.CONCLUSIONS:A significant set of genes, proteins and metabolites appear to be specifically or preferentially expressed in the rhizome of O. longistaminata. The presence of M. oryzae gene transcripts at a high level in apparently healthy plants suggests that red rice is resistant to this pathogen, and may be able to provide genes to cultivated rice that will enable resistance to rice blast disease.

The C₄ photosynthetic cycle acts to concentrate CO₂ around the enzyme Rubisco. By doing so, C₄ photosynthesis leads to increased radiation, water and nitrogen use efficiencies. As such, C₄ photosynthesis is the most productive form of photosynthesis known. Because it enables such high levels of productivity there are large international efforts to introduce C₄ photosynthesis into non-C₄ crop species such as rice. Kranz anatomy is a characteristic leaf cellular arrangement of concentric rings of bundle sheath and mesophyll cells around closely spaced veins and is crucial to C₄ photosynthesis in almost all known examples. Despite the fact that Kranz has evolved on over 60 times independently little is known about the genetic regulation of Kranz development, as attempts to elucidate Kranz regulators using conventional mutagenesis screens have provided few insights. However, the advent of next generation DNA sequencing technologies has enabled the interrogation of genetic networks at a previously unprecedented scale. The work in this thesis describes a genome-wide transcriptomic analysis of leaf development in maize, a C₄ species, that develops both Kranz-type and non-Kranz-type leaves. Detailed bioinformatics analyses identified candidate regulators of both Kranz development and additional aspects of maize leaf development. Three of the identified Kranz candidates were functionally characterised in both C₄ and non-C₄ species. Furthermore, expression and phylogenetic analyses of GOLDEN2-LIKE (GLK) genes, a small transcription factor family previously implicated in C₄ development in maize, were extended to determine the generality of GLK function in C₄ evolution.