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A novel role for mutant mRNA degradation in triggering transcriptional adaptation to mutations
(2020)
Robustness to mutations promotes organisms’ well-being and fitness. The increasing number of mutants in various model organisms, and humans, showing no obvious phenotype (Bouche and Bouchez, 2001; Chen et al., 2016b; Giaever et al., 2002; Kok et al., 2015) has renewed interest into how organisms adapt to gene loss. In the presence of deleterious mutations, genetic compensation by transcriptional upregulation of related gene(s) (also known as transcriptional adaptation) has been reported in numerous systems (El-Brolosy and Stainier, 2017; Rossi et al., 2015; Tondeleir et al., 2012); however, the molecular mechanisms underlying this response remained unclear. To investigate this phenomenon, I develop and study multiple models of transcriptional adaptation in zebrafish and mouse cell lines. I first show that transcriptional adaptation is not caused by loss of protein function, indicating that the trigger lies upstream, and find that the response involves enhanced transcription of the related gene(s). Furthermore, I observe a correlation between levels of mutant mRNA degradation and upregulation of related genes. To investigate the role of mutant mRNA degradation in triggering the response, I generate mutant alleles that do not transcribe the mutated gene and find that they fail to induce a transcriptional response and display stronger phenotypes. Transcriptome analysis of alleles displaying mutant mRNA degradation revealed upregulation of a significant proportion of genes displaying sequence similarity with the mutated gene’s mRNA, suggesting a model whereby mRNA degradation intermediates induce transcriptional adaptation via sequence similarity. Further mechanistic analyses suggested RNA-decay factors-dependent chromatin remodeling, and repression of antisense RNAs to be implicated in the response. These results identify a novel role for mutant mRNA degradation in buffering against mutations. Besides, they hold huge implications on understanding disease-causing mutations and shall help in designing mutations that lead to minimal transcriptional adaptation-induced compensation, facilitating studying gene function in model organisms.
To survive and thrive in nature, animals need to adapt their behavior to their environment. Behavioral adaptation is primarily due to changes within the brain and involves changes in the brain proteome (the collection of proteins in the brain). However, thus far very few studies have examined the proteomic changes during behavioral adaptation. Hence, with this work I set out to determine the proteomic changes induced in the brain of zebrafish larvae undergoing behavioral adaptation. Specifically, I examined the changes induced by adaptation to the natural challenge of strong water currents. To this end I took advantage of an assay developed by my collaborators Luis Castillo and Soojin Ryu. In this assay 5 days old zebrafish larvae were exposed to strong water currents. Subsequently they exhibited a reduction in cortisol response and initial locomotion, and increased rheotaxis, as defined by increased swimming directly against the water current when re-exposed to the water current. I employed this assay to investigate the changes to the larval zebrafish brain proteome during behavioral adaptation. Furthermore, I developed a method for extracting larval brains and prepare them for mass-spectrometric analysis. This work not only allowed the comparison of the brain proteome of naïve and behaviorally-adapted larvae, but also resulted in the most comprehensive proteome of the zebrafish brain observed to date and the first proteome of the larval zebrafish brain. In total 4309 proteins were identified in the brain. When the proteome of naïve and behaviorally adapted larvae were compared 41 proteins were found to be more abundant and 16 to be less abundant in the pre-exposed larvae. Of these 57 proteins, 28 have previously been found to have functions in the brain, 17 with functions identified in other tissues, and 12 proteins that have yet to be described. From examining the most relevant function of each protein I propose a speculative model in which the larval brain undergoes behavioral adaptation and becomes less susceptible to stress (reduction in mecp2 and hsp90 protein), form new neuronal connections (regulation of arid1b, fmn2b, ptpra, mycbp2, and pcyt2), modulate existing connections (regulation of asic1b, calsenilin, ptpra, aplp2, dag1, olfm1b, mycbp2, smad3a, and acvr2a abundance), undergo spatial learning in form of navigating the water vortex (increases in calsenilin, ptpra, and pcyt2), show an elevation in protein turnover (increases in lamp2, Ublcp1, larp4b, and ublcp1), have increased and regulated energy production (increases or reduction in rpia, ldhbb, and mitochondrial proteins; nfs1, eci1, MRPS2B, MRPL4, and mrps2), and a decrease in neurogenesis (reduction in smad3a, and ric8a).
To further investigate proteomic changes during behavioral adaptation, I investigated the translational response by metabolically labeling the larval forebrain with ANL and visualizing the labeled proteins using the fluorescent non-canonical amino acid tagging (FUNCAT). I detected a general increase in translation within the forebrain as a result of the water vortex adaptation, which correlated well with the range of changes observed in the brain proteome. Specifically, a region within the forebrain correlated with a region in the adult zebrafish that is homologous to the mammalian limbic region.
Taken together these results show that during behavioral adaptation, protein synthesis is significantly increased in the larval forebrain, and that throughout the brain regulation of the proteome includes proteins that could support the following functions: changes or modifications in neuronal connectivity, the stress response, spatial learning, changes in energy metabolism and changes in neurogenesis.
Lastly, I set out to provide a new tool for zebrafish researchers. Together with Güney Akbalik I introduced metabolic labeling of newly synthesized RNA using 5-ethynyluridine (EU) and subsequent visualization with a copper catalyzed clickreaction to the zebrafish larvae. With 5 hours of EU incubation I was able to visualize newly synthesized RNA and identify pentylenetetrazole-induced transcriptional increases. With this I showed that EU labeling could be implemented to examining transcriptional changes within the brain of zebrafish larvae.
Across the entire animal kingdom, sociality, i.e. the tendency of individual animals to form a group with conspecifics, is a common trait. Environmental changes have to be met with corresponding, quick adaptations. For social species, the presence of conspecifics is important for survival and if social animals are deprived of access to conspecifics, this can lead to strong and lasting changes on a physiological level as well as behaviour. Gene expression changes responsible for these adaptations have so far not been understood in detail. As social isolation leads to changes on a neuronal level, it is important to investigate the gene expression changes that are induced in the brain. In this thesis, next-generation RNA-sequencing was applied to zebrafish, a well-established model organism characterized by its high degree of companionship. Within the entire brain, gene expression was analysed in zebrafish that were raised either with conspecifis or in isolation, ranging from 5 to 21 days post fertilization. Using this approach, several genes were identified that were downregulated by social isolation. In this thesis, I focused on one of these consistently downregulated genes, parathyroid hormone 2 (pth2). The expression of pth2 was demonstrated to be bidirectionally regulated by the number of conspecifics present and to be responsive to changes in the social environment within 30 minutes. Regulation of pth2 does not occur by visual or chemosensory access to conspecifcs, but is mediated by mechanosensory perception of other fish via the lateral line. In an experiment using an artificial mechanical stimulation paradigm, it was shown that the features necessary to elicit pth2 transcription closely mimick the locomotion of actual zebrafish. Other, similar stimulation paradigms are not capable to induce this transcriptional response.
Local protein synthesis has re-defined our ideas on the basic cellular mechanisms that underlie synaptic plasticity and memory formation. The population of messenger RNAs that are localised to dendrites, however, remains sparsely identified. Furthermore, neuronal morphological complexity and spatial compartmentalisation require efficient mechanisms for messenger RNA localisation and control over translational efficiency or transcript stability. 3’ untranslated regions, downstream from stop codons, are recognised for providing binding platforms for many regulatory units, thus encoding the processing of the above processes. The hippocampus, a part of the brain involved in the formation, organisation and storage of memories, provides a natural platform to investigate patterns of RNA localisation. The hippocampus comprises tissue layers, which naturally separate the principle neuronal cell bodies from their processes (axons and dendrites). Identifying the full-complement of localised transcripts and associated 3’UTR isoforms is of great importance to understand both basic neuronal functions and principles of synaptic plasticity. These findings can be used to study the properties of neuronal networks as well as to understand how these networks malfunction in neuronal diseases.
Here, deep sequencing is used to identify the mRNAs resident in the synaptic neuropil in the hippocampus. Analysis of a neuropil data set yields a list of 8,379 transcripts of which 2,550 are localised in dendrites and/or axons. Using a fluorescent barcode strategy to label individual mRNAs shows that the relative abundance of different mRNAs in the neuropil varies over 5 orders of magnitude. High-resolution in situ hybridisation validated the presence of mRNAs in both cultured neurons and hippocampal slices. Among the many mRNAs identified, a large fraction of known synaptic proteins including signaling molecules, scaffolds and receptors is discovered. These results reveal a previously unappreciated enormous potential for the local protein synthesis machinery to supply, maintain and modify the dendritic and synaptic proteome.
Using advances in library preparation for next generation sequencing experiments, the diversity of 3’UTR isoforms present in localised transcripts from the rat hippocampus is examined. The obtained results indicate that there is an increase in 3’UTR heterogeneity and 3’UTR length in neuronal tissue. The evolutionary importance of the 3’UTR diversity and correlation with changes in species,tissue and cell complexity is investigated. The conducted analysis reveals the population of 3’UTR isoforms required for transcript localisation in overall neuronal transcriptome as well as the regulatory elements and binding sites specific for neuronal compartments. The configuration of poly(A) signals is correlated with gene function and can be further exploit to determine similar mechanisms for alternative polyadenylation.
Usage of custom specified methods for next-generation sequencing as well as novel approaches for RNA quantification and visualisation necessitate the development and implementation of new downstream analytic methods. Library methods for data-mining transcripts annotation, expression and ontology relations is provided. Usage of a specialised search engine targeting key features of previous experiments is proposed. A processing pipeline for NanoString technology, defining experimental quality and exploiting methods for data normalisation is developed. High-resolution in situ images are analysed by custom application, showing a correlation between RNA quantity and spatial distribution. The vast variety of bioinformatic methods included in this work indicates the importance of downstream analysis to reach biological conclusions. Maintaining the integrability and modularity of our implementations is of great priority, as the dynamic nature of many experimental techniques requires constant improvement in computational analysis.
Die Etablierung der Festphasensynthese innerhalb der letzten Jahrzehnte macht hoch modifizierte Oligonukleotide verfügbar. Damit werden Methoden wie Einzelmolekül-aufgelöstes Tracking möglich, um beispielsweise den Weg einer einzelnen RNA von der Transkriptionsstelle im Nukleus bis zur Proteinbiosynthese im Cytoplasma verfolgen und kritische Stelle verstehen zu können. In den letzten Jahren entwickelten sich auch vermehrt Fragen zur lokalen Proteinsynthese. Dabei nimmt man besonders im Fall von polaren Zellen wie Neuronen an, dass die Proteinbiosynthese nicht global im Cytosol stattfindet, sondern es einen Transport der „ruhenden“ RNA bis zu dem Ort geben muss, an dem das entsprechende Protein lokal benötigt wird. In dieser vorliegenden Arbeit sollen nun in zwei Hauptprojekten molekulare Werkzeuge entwickelt werden, mit deren Hilfe oben genannte Fragestellungen in Zukunft beantwortet werden könnten. Im ersten Hauptprojekt wurde dazu eine neue Generation lichtaktivierbarer Molecular Beacons (von engl.: molekulare Leuchtfeuer) entwickelt. Dabei handelt es sich um Oligonukleotide, die komplementär zu einer intrazellulären RNA-Sequenz (Target-RNA) sind und mit Fluorophor und Fluoreszenz-Quencher modifiziert werden. Bei den lichtaktivierbaren Designs kann Fluoreszenz detektiert werden, wenn der Molecular Beacon an seine Targetsequenz gebunden und zusätzlich zuvor eine Lichtaktivierung stattgefunden hat. Im Gegensatz zu früheren Designs wurde bei diesem hier vorgestellten Molecular Beacon der Fluorophor mit Hilfe eines zweiten photoabspaltbaren Quenchers verbunden. Dadurch kann der Beacon an seine Targetsequenz binden, obwohl noch keine Lichtaktivierung stattgefunden hat. Fluoreszenz kann allerdings erst nach photoinduzierter Abspaltung des zusätzlichen Quenchers detektiert werden. In der vorliegenden Studie konnten dadurch extrem gute Signal-zu-Rausch-Verhältnisse von bis zu 170:1 erreicht werden. Zusätzlicher Vorteil dieses Designs ist die Tatsache, dass eine Vielzahl kommerziell erhältlicher Fluorophor-Quencher-Paare verwendet werden kann. Dabei ist es nicht relevant, ob der entsprechende Farbstoff co-synthetisch während der Festphasensynthese oder post-synthetisch durch die Modifikation funktioneller Gruppen angebracht wird. Nach anfänglichen in vitro Tests wurden die besten Molecular Beacons in vivo in der Zuckmücken-Art Chironomus tentans getestet. Dieser Organismus ist aufgrund seiner Polytänchromosomen, der sog. Balbiani Ringe, interessant. Dabei handelt es sich um ein Chromosom, das viele Chromatiden mit jeweils identischen Gensequenzen enthält. Diese Balbiani Ringe haben eine sehr charakteristische Struktur. Die Molecular Beacons wurden in den Zellkern injiziert und anschließend photoinduziert. Auch in den in vivo Messungen zeigte sich die Überlegenheit des neuen Design mit Signal-zu-Rausch-Verhältnissen von bis zu 80:1. Im zweiten Hauptprojekt war es das Ziel, lokale mikroRNA-Reifung in Neuronen nachzuweisen bzw. sichtbar zu machen. MikroRNA (kurz miRNA) ist einer der wichtigsten zellulären Werkzeuge, um Genregulation auf post-transkriptioneller Ebene zu ermöglichen. Für dieses Projekt wurde eine Sonde entwickelt, die den nativen miRNA-Vorläufer – die sog. prä-miRNA – nachbildet. Der enzymatische Reifungsprozess durch die RNase Dicer sollte durch Fluoreszenz nachweisbar sein. Dies gelang durch Modifikationen der Sequenz um die enzymatische Schnittstelle herum. Durch den Dicer-vermittelten, enzymatischen Verdau wurde ein Fluorophor von einem Quencher getrennt, wobei der fluoreszente Farbstoff an der reifen mikroRNA verblieb. Nach der Etablierung der in vitro Tests und Auswahl des optimalen Fluorophor-Quencher-Paars zeigte sich in einem Kontrollexperiment, dass bei Verwendung von neuronalen Ganglien aus Dicer-Knock-Out Mäusen kein Fluoreszenzanstieg zu beobachten war. Dieses Experiment bewies, dass bisher beobachtete Fluoreszenzanstiege Dicer-spezifisch waren. Im nächsten Schritt wurden in vivo Messungen durchgeführt. Es zeigte sich dabei, dass die sog. Patch Clamp Technik herkömmlichen Transfektionsmethoden überlegen war. Unter normalen Bedingungen zeigte sich sowohl im Soma als auch in den Dendriten ein Fluoreszenzanstieg. Durch Depolarisation des Neurons konnte dieser Effekt noch verstärkt werden, wobei das somatische Signal grundsätzlich als höher einzustufen war. Interessanterweise führte eine Blockade der NMDA-Rezeptoren auch bei gleichzeitiger Depolarisation zu einer verringerten Fluoreszenz. Dies lässt darauf schließen, dass die Reifung der untersuchten prä-miRNA in Dendriten von der Aktivität des NMDA-Rezeptors bzw. einem als Konsequenz ansteigenden Ca2+-Spiegels in der Zelle abhängig ist. In einem weiteren Experiment wurde nach „Beladung“ eines Neurons mit der prä-miRNA-Sonde Dendriten punktuell aktiviert. Dies konnte durch Licht-aktivierbares Glutamat erreicht werden. Im zentralen Nervensystem gilt Glutamat als der wichtigste aktivierende Neurotransmitter. Es konnte beobachtet werden, wie einerseits Fluoreszenz lokal an der aktivierten Stelle anstieg und gleichzeitig sog. dendritische Spines wuchsen. Zum Teil war auch ein Wachstum benachbarter Spines zu beobachten. Dabei handelt es sich um pilzförmige Aussackungen der Dendriten an Stellen, an denen Vernetzungen zu Synapsen anderer Neuronen existieren. Als Ergebnis kann geschlussfolgert werden, dass es eine lokale Reifung der untersuchten prä-miRNA durch Dicer in Dendriten gibt. Dieser Prozess kann sehr spezifisch und lokal durch die Aktivierung einzelner synaptischer Verbindungen initiiert werden.
Application of a developed tool to visualize newly synthesized AMPA receptor components in situ
(2018)
The information flow between neurons happens at contact points, the synapses. One underlying mechanism of learning and memory is the change in the strength of information flow in selected synapses. In order to match the huge demand in membranes and proteins to build and maintain the neurites' complex architecture, neurons use decentralized protein synthesis. Many candidate proteins for local synthesis are known, and the need of de novo synthesis for memory formation is well established. The underlying mechanisms of how somatic versus dendritic synthesis is regulated are yet to be elucidated. Which proteins are newly synthesized in order to allow learning?
In this thesis protein synthesis is studied in hippocampal neurons. The fractional distribution of somatic and dendritic synthesis for candidate proteins and their subsequent transport to their destination are investigated using a newly developed technique. In the first part of this study we describe the development of this technique and use it in the second part to answer biological questions.
We focus here on AMPA receptor subunits, the key players in fast excitatory transmission. AMPA receptors contain multiple subunits with diverse functions. It remains to be understood, when and where in a neuron these subunits come together to form a protein complex and how the choice of subunits is regulated.
The investigation of the subunits' site of synthesis and redistribution kinetics in this study will help us to understand how neurons are able to change their synaptic strength in an input specific manner which eventually allows learning and memory.
Key questions which are addressed in this study:
How can specific newly synthesized endogenous proteins be visualized in situ? What are the neuron's abilities to locally synthesize and fully assemble AMPA receptor complexes?
How fast do different AMPA receptor subunits redistribute within neurons after synthesis?
Synaptic plasticity is the activity dependent alteration of the composition, form and strength of synapses and believed to be the underlying mechanism of learning and memory formation. While initial changes in synaptic transmission are caused by second messenger signaling pathways and rapid modifications in the cytoskeleton, to achieve stable and persistent changes at individual synapses, the expression of new mRNAs and proteins is required. The central dogma postulated that the cell body is the only source of newly synthesized proteins. For neurons, with their unique morphology, this meant that proteins would need be transported long distances, often hundreds of microns, to reach their destined locations in dendrites and at spines. To overcome this limitation, neurons have developed a strategy to regulate protein synthesis locally by distributing thousands of mRNAs into neuronal processes and use them for local protein synthesis. Ample research has demonstrated the importance of local protein synthesis to many forms of long-term synaptic plasticity. One potential regulator of mRNA localization and local translation in neurons are non-coding RNAs. Intensive work over the past decades has highlighted the importance of non-coding RNAs in many aspects of brain function. The aim of this thesis is to obtain a better understanding of the role of non-coding RNAs in synaptic function and plasticity in the murine hippocampus. For this, we focused our studies on two classes of non-coding RNAs.
In the first part of my thesis, I describe our efforts on characterizing circular RNAs, a novel and peculiar family of non-coding RNAs, in the murine hippocampus by combining high throughput RNA-Sequencing with fluorescence in situ hybridization. Furthermore, we investigated the mechanisms of circular RNA biogenesis in hippocampal neurons by temporarily inhibiting spliceosome activity and analyzing the differentially regulated circular RNAs.
Life and biological resilience rely on the execution of precise gene expression profiles. A key mechanism to ensure cellular homeostasis is the regulation of protein synthesis. Recent studies have unveiled an intrinsic regulatory capacity of ribosomes, previously considered mere executors of mRNA translation. Neurons in particular finely regulate protein synthesis, at both global and local levels. This sustains their complex morphology and allows them to rapidly transmit, integrate, and respond to external stimuli. In this thesis, I investigated the neuronal ribosome and how subcellular environments and physiological perturbations shape it, by profiling its molecular composition, functional interconnections, and cellular distribution.
First, I used genetic engineering, biochemical purification, and mass spectrometry, to characterize in an unbiased manner the translation machinery specifically from excitatory and inhibitory neurons of the mouse cortex. I found that neuronal ribosomes commonly interact with RNA-binding proteins, components of the cytoskeleton, and proteins associated with the endoplasmic reticulum and vesicles. In line with the requirement for local protein synthesis in the distal parts of neurons, we observed that neuronal ribosomes preferentially interact with proteins involved in cellular transport. Remarkably, I observed a strong association between ribosomes and pre-synaptic vesicles, which suggests a potential regulatory interaction between local translation and neuronal activity.
Intriguingly, I and others have observed mRNAs encoding for core ribosomal proteins (RPs) among the genes most enriched in neuronal processes. This observation challenges two historical assumptions of ribosome biology: (1) new RPs are incorporated only into newly forming ribosomes, and (2) this incorporation occurs only in the nucleus and perinuclear region. In my PhD, I aimed to directly test these two assumptions and if proven wrong ask whether and why neurons would localize RP mRNAs far from their known assembly site.
Employing a combination of metabolic labeling and highly sensitive mass spectrometry techniques, I discovered that a subset of RPs rapidly and dynamically binds on and off mature ribosomes. Strikingly, this incorporation does not depend on the supply of new ribosomes from the nucleus. Therefore, my data refuted the assumption that ribosomes are built and degraded as a unit and revealed a more dynamic view of these machines, which can actively exchange core components. In particular, I found that the association of certain exchanging RPs is influenced by location (e.g., cell body versus neurites) and cellular state (e.g., post-oxidative stress). Neurons may use this mechanism to repair and/or specialize their protein synthesis machinery in a rapid and context-dependent manner.
Finally, I asked whether some steps of ribosome biogenesis could also take place in distal processes. Although most steps of ribosome assembly occur within the nucleus, the final stages of maturation are known to occur in the cytosol. By combining several imaging and biochemical approaches, I found that cytosolic (but not nuclear) pre-ribosomal particles are present in neuronal processes. Through the incorporation of new RPs into these immature particles, neurons may be able to locally “turn on” previously incompetent ribosomes. This may enable regions near synapses to enhance and customize their translational capacity, independently of the central pool of ribosomes from the cell body. Indeed, I observed that synaptic plasticity induces a maturation of cytosolic pre-ribosomes.
In summary, this thesis shows how neuronal ribosomes can sense cellular states, respond by adjusting their core composition, and in doing so influence the local capacity for protein synthesis. By overturning long-held assumptions in ribosome biology, this work highlights new molecular mechanisms of gene expression and enriches our understanding of the rapid and dynamic strategies cells employ to operate, thrive, and adaptively respond to environmental changes.