@phdthesis{18477, abstract = {ADAR1 is broadly expressed across various tissues and is vital in regulating pathways associated with innate immune responses. ADAR1 marks double-stranded RNA as "self" through its A-to-I editing activity, effectively repressing autoimmunity and maintaining immune tolerance. This editing process has been detected at millions of sites across the human genome. However, the mechanism underlying ADAR1's substrate selectivity properties remains largely unclear, with much of the current knowledge derived from comparisons to its more extensively studied homolog, ADAR2. By studying ADAR1 in complex with its RNA substrates and applying a combination of biochemical techniques and structural studies using CryoEM, we aim to gain a more comprehensive understanding of the substrate selectivity characteristics of ADAR1. In this thesis, the purification protocol for ADAR1 was successfully optimized, resulting in the first report in the literature to achieve high protein purity and activity. This advancement enabled the investigation of complex formation between ADAR1 and various RNA substrates, leading to the identification of optimal conditions for preparing the cryoEM sample. However, despite comprehensive optimization of the cryo-EM conditions, the resulting data lacked the desired quality, highlighting the need for similar rigorous optimization of the RNA substrates to facilitate structural studies of the ADAR1-RNA complex. The study was complemented by AlphaFold predictions, which provided some insights into this mechanism. Moreover, during this project I established a collaboration with a research group focused on studying ADAR homologs. Notably ADAR homologs were identified in bivalve species, and it was further demonstrated that ADAR and its A-to-I editing activity are upregulated in Pacific oysters during infections with Ostreid herpesvirus-1—a highly infectious virus that leads to significant losses in oyster populations globally. I successfully purified oyster ADAR and prepared in vitro edited RNA for nanopore sequencing—a direct sequencing technology capable of detecting modified nucleotides without the need for reverse transcription. The collaborators initiated optimization of this nanopore-based approach. However, current technological limitations still constrain the reliable detection of modified nucleotides. The project also examined the impact of RNA editing on RNA binding and filament formation by MDA5, a key cytosolic dsRNA sensor that triggers an interferon response. A primary target of ADAR1's editing activity is RNA derived from repetitive elements present in the genome, particularly Alu elements forming double-stranded RNA. When unedited, these RNA sequences are recognized by MDA5. However, the mechanisms by which MDA5 interacts with Alu RNAs, as well as the role of A-to-I editing in influencing this binding, are still not well understood. The interaction between MDA5 and Alu elements, was successfully established. This was achieved through the testing of different RNA variants and the evaluation of filament formation using binding techniques and electron microscopy imaging. This groundwork has set the conditions for further evaluation using CryoEM. Furthermore, the effects of A-to-I editing on the binding properties of MDA5 with Alu RNA were investigated. Given the recent research that has provided new insights into MDA5's interaction with dsRNA, it is essential to revise the experimental setup to integrate these findings before moving forward with the CryoEM sample analysis.}, author = {Kaczmarek, Beata M}, isbn = {978-3-99078-045-9}, issn = {2663-337X}, pages = {124}, publisher = {Institute of Science and Technology Austria}, title = {{Biochemical and structural insights into ADAR1 RNA editing}}, doi = {10.15479/at:ista:18477}, year = {2024}, } @phdthesis{15352, abstract = {Epilepsy affects about 50 to 65 million people globally. It summarizes a spectrum of neurological disorders that have in common a hyperactivity of the neuronal network resulting in seizures. A common assumption is that an imbalance between neuronal excitation and inhibition is a key mechanism in seizure generation and epileptogeneisis. In at least one-third of the patients, current therapies have proven unsuccessful in treating seizure progression. One potential reason could be that the therapies only focus on neurons. Recent studies suggest that neuronal hyperactivity causes a microglial response, which reinstates brain homeostasis. Additionally, interactions between microglia and neurons have been shown to inhibit neuronal firing and dampen seizure activity. However, the exact relationship between microglia and seizure progression in epilepsy is yet to be elucidated. A main bottleneck is that several studies investigate microglia dynamics in ex vivo slice models, which can severely affect the microglia dynamics due to their rapid response to environmental changes. On the other hand, in vivo studies focus mostly on behavior characterization of the epileptic seizure phenotype and their long-term consequences on microglia activity leaving out the direct consequences of acute seizure activity on microglia dynamics. Here, we perform a pilot study to combine electroencephalography (EEG) and in vivo live imaging to directly monitor and correlate the onset of seizure activity with microglia response. To induce seizures, we take advantage of the kainic acid (KA) model, which represents similar neuropathological and electroencephalographic features seen in human patients with temporal lobe epilepsy (TLE). After confirmation of induction of the seizure and microglia activity in the hippocampus as a focal point, we investigated whether these changes also reached the primary visual cortex (V1) as a secondary generalized seizure activity. Indeed, we found that microglia changed their morphology at high doses of KA in the V1. Next, we optimized each of the two methodological components: for the EEG recording, our initial attempts under the microscope suffered from extensive electrical noise, which overlaid the actual signal. Thus, we built a customized Faraday-cage and confirmed that the signal-to-noise ratio was sufficiently reduced to be able to record brain oscillatory activity. For the in vivo live imaging of microglia, we had to optimize the imaging parameters, so that we would be able to detect microglial processes in a sufficient resolution to track their process changes. Finally, we combined both methodologies with the KA model. We confirmed that KA induced seizure activity and found first indication that those correlate with microglia volume changes. Overall, we have developed a first methodological approach, which allows the analysis of the acute effects of seizure onset on microglia. Future studies will have to continue to optimize the drift during imaging recording and the post-image analysis. }, author = {Murmann, Julie Stefanie}, issn = {2791-4585}, pages = {54}, publisher = {Institute of Science and Technology Austria}, title = {{Investigating acute microglia response to seizure activity in vivo: Combining 2-Photon imaging and EEG recording}}, doi = {10.15479/at:ista:15352}, year = {2024}, } @phdthesis{14821, abstract = {The hippocampus is central to memory formation, storage and retrieval over many timescales. Neurons in this brain area are highly selective to spatial position as well as to many other variables of the environment. It is believed that the selectivity patterns of hippocampal neurons reflect the structure of tasks an animal performs. However, especially at timescales longer than a few minutes or hours it is not fully known how these representations evolve, nor how they map to behaviour in the process. In this thesis, I monitored the evolution of hippocampal representations in a novel spatial-associative memory task for rats. Reward locations were associated with global sensory cues (i.e. context); animals had to remember the associations and dig for food in those locations only. I used in vivo electrophysiology to record the activity of the hippocampus dorsal CA1 neurons during the learning period of a few days. I report here a novel and simple method to classify behaviour performance to account for individual variability in learning speed and spurious performance unrelated to true task rule learning. Using this classification I was then able to investigate neural responses on different stages of learning matched across animals. On the first day of learning, I observed a fast formation of single-cell selectivity to task variables which remained stable over days. I also observed that reward tuning was not a single process but dependent on task-related cognitive load. At the population level, a linear decoding approach revealed a hierarchy in the representation of task variables that changed with learning. In the high-dimensional space of population activity, the representation of contexts was specific to each position in the maze, and could thus be better decoded if the position was known. The decoding of position did not improve with knowledge of other variables. As learning progressed, the hippocampal code underwent a reorganisation of high-variance directions in population activity, identified by principal component analysis. I found that dominant dimensions started carrying increasing amounts of information about task context specifically at those positions where it mattered for task performance. When I contrasted this with variables less relevant to task performance (e.g. movement direction), I did not observe differences in decoding quality over positions nor a reduction of dimensionality with learning. Overall, the largest changes in CA1 neural response with task learning happened in a matter of a few trials; over days, changes undetectable in single-cell statistics were responsible for re-structuring the hierarchy of neural representations at the population level; these changes were task-specific and reflected different stages of learning. This indicates that complex task learning may involve different magnitudes of response modulation in CA1, which happen at specific time scales linked to behaviour.}, author = {Chiossi, Heloisa}, issn = {2663-337X}, pages = {89}, publisher = {Institute of Science and Technology Austria}, title = {{Adaptive hierarchical representations in the hippocampus}}, doi = {10.15479/at:ista:14821}, year = {2024}, } @article{14843, abstract = {The coupling between Ca2+ channels and release sensors is a key factor defining the signaling properties of a synapse. However, the coupling nanotopography at many synapses remains unknown, and it is unclear how it changes during development. To address these questions, we examined coupling at the cerebellar inhibitory basket cell (BC)-Purkinje cell (PC) synapse. Biophysical analysis of transmission by paired recording and intracellular pipette perfusion revealed that the effects of exogenous Ca2+ chelators decreased during development, despite constant reliance of release on P/Q-type Ca2+ channels. Structural analysis by freeze-fracture replica labeling (FRL) and transmission electron microscopy (EM) indicated that presynaptic P/Q-type Ca2+ channels formed nanoclusters throughout development, whereas docked vesicles were only clustered at later developmental stages. Modeling suggested a developmental transformation from a more random to a more clustered coupling nanotopography. Thus, presynaptic signaling developmentally approaches a point-to-point configuration, optimizing speed, reliability, and energy efficiency of synaptic transmission.}, author = {Chen, JingJing and Kaufmann, Walter and Chen, Chong and Arai, Itaru and Kim, Olena and Shigemoto, Ryuichi and Jonas, Peter M}, issn = {1097-4199}, journal = {Neuron}, number = {5}, pages = {755--771.e9}, publisher = {Elsevier}, title = {{Developmental transformation of Ca2+ channel-vesicle nanotopography at a central GABAergic synapse}}, doi = {10.1016/j.neuron.2023.12.002}, volume = {112}, year = {2024}, } @phdthesis{15101, abstract = {The coupling between presynaptic Ca2+ channels and release sensors is a key factor that determines speed and efficacy of synapse transmission. At some excitatory synapses, channel–sensor coupling becomes tighter during development, and tightening is often associated with a switch in the reliance on different Ca2+ channel subtypes. However, the coupling topography at many synapses remains unknown, and it is unclear how it changes during development. To address this question, we analyzed the coupling configuration at the cerebellar basket cell (BC) to Purkinje cell (PC) synapse at different developmental stages, combining biophysical analysis, structural analysis, and modeling. Quantal analysis of BC–PC indicated that release probability decreased, while the number of functional sites increased during development. Although transmitter release persistently relied on P/Q-type Ca2+ channels in the time period postnatal day 7–23, effects of the Ca2+ chelator EGTA and BAPTA applied by intracellular pipette perfusion decreased during development, indicative of tightening of source-sensor coupling. Furthermore, presynaptic action potentials became shorter during development, suggesting reduced efficacy of Ca2+ channel activation. Structural analysis by freeze-fracture replica labeling (FRL) and transmission electron microscopy (EM) indicated that presynaptic P/Q-type Ca2+ channels formed nanoclusters throughout development, whereas docked vesicles were only clustered at later developmental stages. The number of functional release sites correlated better with the AZ number early in development, but match better with the Ca2+ channel cluster number at later stages. Modeling suggested a developmental transformation from a more random to a more clustered coupling nanotopography. Thus, presynaptic signaling developmentally approaches a point-to-point configuration, optimizing speed, reliability, and energy efficiency of synaptic transmission.}, author = {Chen, JingJing}, issn = {2663-337X}, pages = {84}, publisher = {Institute of Science and Technology Austria}, title = {{Developmental transformation of nanodomain coupling between Ca2+ channels and release sensors at a central GABAergic synapse}}, doi = {10.15479/at:ista:15101}, year = {2024}, } @phdthesis{18471, abstract = {Spatial omics technologies are enriching our understanding of complex biological samples, by allowing us to study their molecular composition while preserving the spatial relationships between molecules in their native context. As the field continues to advance, there are technical challenges that need to be addressed in order to take full advantage of the spatial capabilities of these methods. In this work, I present two technical developments that I established for multiplexed error robust FISH (MERFISH) throughout my PhD: (1) pushing the spatial resolution limits to the nanoscale, and (2) adding rich tissue context to the mouse brain transcriptome. To achieve nanoscale resolution with MERFISH in cultured cells, I combined it with stimulated emission depletion (STED) and expansion microscopy (ExM) to achieve a spatial resolution as low as ~20 nm, and explored the compatibility of MERFISH with singlemolecule localization microscopy (SMLM) techniques. To visualize targeted mRNAs in mouse brain tissue, I applied the comprehensive analysis of tissues across scales (CATS) toolbox, which provides an unbiased morphological readout by labeling the extracellular domain. I successfully established this method, which we call CATS-MERFISH-ExM, to work with thick mouse brain slices, being able to extract transcriptomics information with 3D tissue context. CATS-MERFISH-ExM enabled us to identify cell types and further visualize the subcellular distribution of transcripts in mouse brain tissue, shedding light on the neuropil-specific transcriptome. This method provides integrated information on cellular structure and transcriptomes in situ, and could potentially be applied with other modalities, opening new avenues for scientific discovery. }, author = {Agudelo Duenas, Nathalie}, isbn = {978-3-99078-044-2}, issn = {2663-337X}, pages = {97}, publisher = {Institute of Science and Technology Austria}, title = {{Visualizing the neuronal transcriptional landscape with tissue context}}, doi = {10.15479/at:ista:18471}, year = {2024}, } @phdthesis{18574, abstract = {Biological vision is unlike a camera; rather than transmitting light information faithfully, early visual circuits process the visual scene to convey only the relevant information in an efficient manner. Consequentially, the nature of this visual processing then depends on what is the relevant information in a scene and on the notion of efficiency. In this work, I study how visual processing is modulated by two different variations in the visual scene. First, I discovered that in the mouse (Mus musculus) retina, Retinal Ganglion Cells in the upper and lower visual field have differences in the center surround structure of their receptive fields. Comparison with models of efficient coding show that this adaptation likely evolved to cope with the brightness gradient from the sky to the ground that is pervasive in natural scenes. In the second project, I study how the downstream neurons in the Superior Colliculus dynamically change their temporal selectivity depending on the ambient luminance and behavioral state. As the scene gets darker or when the animal is is less aroused, the neuronal responses get laggier, while still maintaining their relative timing with respect to the population. Overall, this work emphasises the need to understand visual processing in the context of specific demands of the animal in its the environment. The adaptive changes in the visual system, from the retinal ganglion cells to the superior colliculus, highlight the intricate ways in which biological vision optimizes the processing of visual information. }, author = {Gupta, Divyansh}, isbn = {978-3-99078-050-3}, issn = {2663-337X}, pages = {86}, publisher = {Institute of Science and Technology Austria}, title = {{Visual adaptations to natural statistics}}, doi = {10.15479/at:ista:18574}, year = {2024}, } @article{15323, abstract = {Supercomplexes of the respiratory chain are established constituents of the oxidative phosphorylation system, but their role in mammalian metabolism has been hotly debated. Although recent studies have shown that different tissues/organs are equipped with specific sets of supercomplexes, depending on their metabolic needs, the notion that supercomplexes have a role in the regulation of metabolism has been challenged. However, irrespective of the mechanistic conclusions, the composition of various high molecular weight supercomplexes remains uncertain. Here, using cryogenic electron microscopy, we demonstrate that mammalian (mouse) tissues contain three defined types of ‘respirasome’, supercomplexes made of CI, CIII2 and CIV. The stoichiometry and position of CIV differs in the three respirasomes, of which only one contains the supercomplex-associated factor SCAF1, whose involvement in respirasome formation has long been contended. Our structures confirm that the ‘canonical’ respirasome (the C-respirasome, CICIII2CIV) does not contain SCAF1, which is instead associated to a different respirasome (the CS-respirasome), containing a second copy of CIV. We also identify an alternative respirasome (A-respirasome), with CIV bound to the ‘back’ of CI, instead of the ‘toe’. This structural characterization of mouse mitochondrial supercomplexes allows us to hypothesize a mechanistic basis for their specific role in different metabolic conditions.}, author = {Vercellino, Irene and Sazanov, Leonid A}, issn = {1545-9985}, journal = {Nature Structural and Molecular Biology}, pages = {1061--1071}, publisher = {Springer Nature}, title = {{SCAF1 drives the compositional diversity of mammalian respirasomes}}, doi = {10.1038/s41594-024-01255-0}, volume = {31}, year = {2024}, } @article{15084, abstract = {GABAB receptor (GBR) activation inhibits neurotransmitter release in axon terminals in the brain, except in medial habenula (MHb) terminals, which show robust potentiation. However, mechanisms underlying this enigmatic potentiation remain elusive. Here, we report that GBR activation on MHb terminals induces an activity-dependent transition from a facilitating, tonic to a depressing, phasic neurotransmitter release mode. This transition is accompanied by a 4.1-fold increase in readily releasable vesicle pool (RRP) size and a 3.5-fold increase of docked synaptic vesicles (SVs) at the presynaptic active zone (AZ). Strikingly, the depressing phasic release exhibits looser coupling distance than the tonic release. Furthermore, the tonic and phasic release are selectively affected by deletion of synaptoporin (SPO) and Ca 2+ -dependent activator protein for secretion 2 (CAPS2), respectively. SPO modulates augmentation, the short-term plasticity associated with tonic release, and CAPS2 retains the increased RRP for initial responses in phasic response trains. The cytosolic protein CAPS2 showed a SV-associated distribution similar to the vesicular transmembrane protein SPO, and they were colocalized in the same terminals. We developed the “Flash and Freeze-fracture” method, and revealed the release of SPO-associated vesicles in both tonic and phasic modes and activity-dependent recruitment of CAPS2 to the AZ during phasic release, which lasted several minutes. Overall, these results indicate that GBR activation translocates CAPS2 to the AZ along with the fusion of CAPS2-associated SVs, contributing to persistency of the RRP increase. Thus, we identified structural and molecular mechanisms underlying tonic and phasic neurotransmitter release and their transition by GBR activation in MHb terminals.}, author = {Koppensteiner, Peter and Bhandari, Pradeep and Önal, Hüseyin C and Borges Merjane, Carolina and Le Monnier, Elodie and Roy, Utsa and Nakamura, Yukihiro and Sadakata, Tetsushi and Sanbo, Makoto and Hirabayashi, Masumi and Rhee, JeongSeop and Brose, Nils and Jonas, Peter M and Shigemoto, Ryuichi}, issn = {1091-6490}, journal = {Proceedings of the National Academy of Sciences of the United States of America}, number = {8}, publisher = {National Academy of Sciences}, title = {{GABAB receptors induce phasic release from medial habenula terminals through activity-dependent recruitment of release-ready vesicles}}, doi = {10.1073/pnas.2301449121}, volume = {121}, year = {2024}, } @article{17148, abstract = {During neural tube (NT) development, the notochord induces an organizer, the floorplate, which secretes Sonic Hedgehog (SHH) to pattern neural progenitors. Conversely, NT organoids (NTOs) from embryonic stem cells (ESCs) spontaneously form floorplates without the notochord, demonstrating that stem cells can self-organize without embryonic inducers. Here, we investigated floorplate self-organization in clonal mouse NTOs. Expression of the floorplate marker FOXA2 was initially spatially scattered before resolving into multiple clusters, which underwent competition and sorting, resulting in a stable “winning” floorplate. We identified that BMP signaling governed long-range cluster competition. FOXA2+ clusters expressed BMP4, suppressing FOXA2 in receiving cells while simultaneously expressing the BMP-inhibitor NOGGIN, promoting cluster persistence. Noggin mutation perturbed floorplate formation in NTOs and in the NT in vivo at mid/hindbrain regions, demonstrating how the floorplate can form autonomously without the notochord. Identifying the pathways governing organizer self-organization is critical for harnessing the developmental plasticity of stem cells in tissue engineering.}, author = {Krammer, Teresa and Stuart, Hannah T. and Gromberg, Elena and Ishihara, Keisuke and Cislo, Dillon and Melchionda, Manuela and Becerril Perez, Fernando and Wang, Jingkui and Costantini, Elena and Rus, Stefanie and Arbanas, Laura and Hörmann, Alexandra and Neumüller, Ralph A. and Elvassore, Nicola and Siggia, Eric and Briscoe, James and Kicheva, Anna and Tanaka, Elly M.}, issn = {1878-1551}, journal = {Developmental Cell}, number = {15}, pages = {1940--1953.e10}, publisher = {Elsevier}, title = {{Mouse neural tube organoids self-organize floorplate through BMP-mediated cluster competition}}, doi = {10.1016/j.devcel.2024.04.021}, volume = {59}, year = {2024}, } @article{18601, abstract = {Geometrically controlled stem cell differentiation promotes reproducible pattern formation. Here, we present a protocol to fabricate elastomeric stencils for patterned stem cell differentiation. We describe procedures for using photolithography to produce molds, followed by molding polydimethylsiloxane (PDMS) to obtain stencils with through holes. We then provide instructions for culturing cells on stencils and, finally, removing stencils to allow colony growth and cell migration. This approach yields reproducible two-dimensional organoids tailored for quantitative studies of growth and pattern formation. For complete details on the use and execution of this protocol, please refer to Lehr et al.1}, author = {Rus, Stefanie and Merrin, Jack and Kulig, Monika Aleksandra and Minchington, Thomas and Kicheva, Anna}, issn = {2666-1667}, journal = {STAR Protocols}, number = {4}, publisher = {Elsevier}, title = {{Protocol for fabricating elastomeric stencils for patterned stem cell differentiation}}, doi = {10.1016/j.xpro.2024.103187}, volume = {5}, year = {2024}, } @article{14796, abstract = {Key innovations are fundamental to biological diversification, but their genetic basis is poorly understood. A recent transition from egg-laying to live-bearing in marine snails (Littorina spp.) provides the opportunity to study the genetic architecture of an innovation that has evolved repeatedly across animals. Individuals do not cluster by reproductive mode in a genome-wide phylogeny, but local genealogical analysis revealed numerous small genomic regions where all live-bearers carry the same core haplotype. Candidate regions show evidence for live-bearer–specific positive selection and are enriched for genes that are differentially expressed between egg-laying and live-bearing reproductive systems. Ages of selective sweeps suggest that live-bearer–specific alleles accumulated over more than 200,000 generations. Our results suggest that new functions evolve through the recruitment of many alleles rather than in a single evolutionary step.}, author = {Stankowski, Sean and Zagrodzka, Zuzanna B. and Garlovsky, Martin D. and Pal, Arka and Shipilina, Daria and Garcia Castillo, Diego Fernando and Lifchitz, Hila and Le Moan, Alan and Leder, Erica and Reeve, James and Johannesson, Kerstin and Westram, Anja M and Butlin, Roger K.}, issn = {1095-9203}, journal = {Science}, number = {6678}, pages = {114--119}, publisher = {American Association for the Advancement of Science}, title = {{The genetic basis of a recent transition to live-bearing in marine snails}}, doi = {10.1126/science.adi2982}, volume = {383}, year = {2024}, } @article{15009, abstract = {Since the commercialization of brine shrimp (genus Artemia) in the 1950s, this lineage, and in particular the model species Artemia franciscana, has been the subject of extensive research. However, our understanding of the genetic mechanisms underlying various aspects of their reproductive biology, including sex determination, is still lacking. This is partly due to the scarcity of genomic resources for Artemia species and crustaceans in general. Here, we present a chromosome-level genome assembly of A. franciscana (Kellogg 1906), from the Great Salt Lake, United States. The genome is 1 GB, and the majority of the genome (81%) is scaffolded into 21 linkage groups using a previously published high-density linkage map. We performed coverage and FST analyses using male and female genomic and transcriptomic reads to quantify the extent of differentiation between the Z and W chromosomes. Additionally, we quantified the expression levels in male and female heads and gonads and found further evidence for dosage compensation in this species.}, author = {Bett, Vincent K and Macon, Ariana and Vicoso, Beatriz and Elkrewi, Marwan N}, issn = {1759-6653}, journal = {Genome Biology and Evolution}, number = {1}, publisher = {Oxford University Press}, title = {{Chromosome-level assembly of Artemia franciscana sheds light on sex chromosome differentiation}}, doi = {10.1093/gbe/evae006}, volume = {16}, year = {2024}, } @phdthesis{17206, abstract = {Males and females exhibit numerous differences, from the initial stages of sex determination to the development of secondary sexual characteristics. In Drosophila, these differences have been thoroughly studied. Extensive research has been performed to understand the role and molecular mode of action of central sex in determining switch genes, such as transformer (tra) and Sex-lethal (Sxl). Furthermore, studies have highlighted differential gene expression as an essential mechanism to create sexual dimorphism. An alternative path to sexual dimorphism that has been less explored is alternative splicing, the mechanism through which genes can produce multiple transcripts with distinct properties and functions. The primary switch sex-determining gene Sxl is a good example of the role of alternative splicing for sex-specific functions: the inclusion of a specific exon determines the male or female form of the protein, which in turn switches on either the male or female developmental pathway. The genes that act upstream of Sxl and determine which form is expressed - the counter genes - have received less attention. This thesis addresses two critical questions about the molecular encoding of sexes in the Drosophila melanogaster genome: First, the use of splice forms in male and female tissues in D. melanogaster is examined, inferring the molecular and evolutionary parameters shaping the diversity of the splicing landscape. Second, the behaviour of counter genes in Drosophila-related species is investigated, shedding light on potential changes leading to their incorporation into the sex-determination pathway. For the alternative splicing analyses, long-read RNA sequencing of testes, ovaries, female and male midguts, heads, and whole bodies was performed. A novel pipeline was developed to assign unique transcript identifiers for each sequence of exons and introns in the read, enabling detailed comparisons of splicing variants in each tissue/sex. Alternative splicing was found to be more pervasive in females than males (22,201 exclusive splice forms in females versus 12,631 in males), especially when comparing ovaries to other tissues. The ovaries alone displayed 15,299 exclusive splice forms, suggesting most female exclusive splice forms originate there. Genome location and gene age were also correlated with the number of splice forms per gene. In particular, the X and 4th chromosomes (Muller elements A and F) showed more splice forms per gene than other chromosomes. Additionally, genes older than 63 million years exhibited more splice forms per gene than younger genes. Our results suggest that alternative splicing is more prevalent than previously believed, with numerous female-exclusive forms, age, and location playing significant roles in shaping its prevalence. For the counter genes analyses, we combined published gene expression, genomic, and gene interaction data from various clades (Bactrocera jarvisi, B. oleae, Ceratitis capitata, Mus musculus, Caenorhabditis elegans, Homo sapiens, and D. melanogaster). The counter genes scute (sc), extra macrochaetae (emc), groucho (gro), deadpan (dpn), daughterless (da), runt (run), Sxl, hermaphrodite (her), and tra maintain conserved Muller element locations between C. capitata and D. melanogaster, which are most of the counter genes identified in the C. capitata genome. Their expression patterns during early embryogenesis in B. jarvisi and D. melanogaster are also similar for counter genes dpn, gro, da, and emc. However, Sxl and sc are also found to have more extreme expression ratios between the species. Lastly, gene interactions within the counter genes are conserved, with da-sc and gro-dpn interactions occurring in Drosophila, worms, humans, and mice. Interactions such as dpn-sc, dpn-da, da-emc, and gro-run are present in Drosophila, mice, and humans, suggesting these genes were recruited by ancestral characteristics, primarily during embryogenesis. The conserved expression, location, and interactions of counter genes suggest serendipitous recruitment of such genes instead of a change in those characteristics as they were recruited for this function. }, author = {Raices, Julia}, issn = {2663-337X}, pages = {82}, publisher = {Institute of Science and Technology Austria}, title = {{Novel approaches to studying alternative splicing in Drosophila Melanogaster : Insights into sex-specific gene expression and the evolution of sex determination}}, doi = {10.15479/at:ista:17206}, year = {2024}, } @phdthesis{18101, abstract = {The Retroviridae family consists of two sub-families, the Orthoretrovirinae and the Spumaretrovirinae. The Orthoretroviruses contain important human pathogens, such as the human immunodeficiency virus 1 (HIV-1). They also harbor other retrovirus species which are regularly used as model systems to study the retroviral life cycle. The main structural component of the retroviruses, is the Gag protein and its truncation derivatives occurring during viral maturation. Orthoretroviral Gag assemblies have been extensively studied to understand the interactions that confer stability and morphology to viral particles. The Spumaretrovirinae subfamily represent an early diverging branch of the Retroviridae. Its members, the Foamy viruses (FV), share most of the conventional features found in retroviruses. However, they also possess multiple characteristics that make them unique. In particular, FV Gag does not get extensively cleaved as in orthoretroviruses. Hence, the Gag architecture deviates from the canonical domain arrangement in FV. They also exhibit a peculiar particle morphology, having no apparent immature state and a seemingly icosahedral mature particle. Due to this, many fundamental questions on FV structural assembly mechanisms remain open. To answer these questions, was the main focus of this thesis. Mainly, it is not known how FV assemble their core in a virus particle and what are the important assembly interaction sites within said core. What is the minimum assembly competent domain of FV Gag? Is there a morphological change in the assembly type of FVGag lattices? If so, what is defining these morphological shifts? Finally, it would be interesting to know what is the evolutionary relationship between FV and the rest of the retrotranscribing elements, from a structural point of view? To answer these questions, membrane-enveloped mammalian cell-derived FV virus-like particles (VLPs) were produced. Cryo-electron tomography (cryo-ET) analysis suggested these FV VLPs do not form a canonical retroviral Gag lattice structure, which is in line with earlier observations. To further evaluate FV Gag assembly competence and morphology, the first bacterial cell-derived in vitro VLP assembly system was designed and optimized. Using this system with different truncation variants, the minimum assembly competent domain of FV Gag was found to be the putative CA300-477 domain. Varying VLP morphologies were also observed and strongly suggested residues upstream of CA300-477 play a role in morphology determination. Finally, a combined cryo-electron microscopy (cryoEM) and cryo-ET approach was taken to analyze tubular assemblies from the minimal assembly competent domain. This revealed an unexpectedly unique non-canonical assembly architecture. Three novel lattice stabilizing interfaces were described which proved to be as unique as the lattice arrangement. Comparison to a newly published FV CA core structure revealed the CA-CA interactions in the atypical assembly do not recapitulate what is described for the FV core lattice. However, the new in vitro VLP assembly system obtained in this thesis also provides an exciting opportunity to study still unresolved FV assembly features in a potentially facilitated approach compared to conventional methods. In summary, this work provided a deeper understanding of the basic FV Gag assembly unit, as well as presenting the first FV Gag-derived in vitro VLP assembly system. This system reveals a novel and unique assembly architecture among retroviral in vitro assemblies.}, author = {Porley, Dario J}, isbn = {978-3-99078-041-1}, issn = {2663-337X}, pages = {131}, publisher = {Institute of Science and Technology Austria}, title = {{Structural characterization of spumavirus capsid assemblies}}, doi = {10.15479/at:ista:18101}, year = {2024}, } @phdthesis{17319, abstract = {This thesis comprises two distinct projects, each offering unique insights into fundamental cellular processes. While distinct in their focus, these different perspectives have a common theme: chemiosmotic theory and utilisation of the proton gradient for driving the essential processes like auxin efflux and ATP synthesis, effectively bridging the membrane protein structure and function from the realms of plant biology and cellular bioenergetics. The first project of this thesis centres on the characterisation of PIN proteins, a class of transmembrane transporters pivotal in the regulation of auxin transport and distribution in plants. PINs form a conserved and phylogenetically abundant group of transporters present in land plants and certain algae. Despite their great importance, they were one of the few elusive proteins essential for plant development not to be structurally and mechanistically characterised since their discovery almost 30 years ago. This work aimed to uncover the structural and functional dynamics of the PIN protein-mediated auxin transport using an array of experimental techniques, including protein purification, biochemical assays and structural analysis. Through an exhaustive screening process that took several years and included testing different PIN homologues, expression systems, constructs, and purification conditions, we developed a robust protocol for isolating the pure, stable, and monodisperse PIN8 protein. Moreover, utilising biophysical methods and buffer screening, we demonstrated that PIN8 exhibits detergent and pH-dependent stability, with mild detergents and lower pH (5.0 and 6.0) being optimal for the stability of the protein. Using SEC-MALS and crosslinking, we determined that PIN8 forms dimers, which was confirmed by our structural studies. We obtained a cryo-EM map of PIN8 at pH 6.0, and, compared to recently published structures, our map implies major pH-dependent conformational changes and possibly utilisation of the proton gradient in the transport mechanism. The subject of the second project was F1Fo-ATP synthase, an enzyme complex fundamental to cellular energy metabolism. Through an approach integrating biochemical assays and structural analysis, this research aimed to unveil the molecular mechanism of inhibition of ATP synthase by yaku´amide, a bioactive compound with potential therapeutic implications. Using submitochondrial particles and purified F1Fo-ATP synthase, we demonstrated that, contrary to published data, yaku´amide inhibits both ATP hydrolysis and ATP synthesis reactions. Moreover, we found that yaku´amide inhibitory activity is proton motive force (pmf) dependent, with lower inhibition in a more coupled system. Utilising cryo-EM, we obtained maps and models for the three main rotational states of murine ATP synthase (State 1 at 3.0 Å, 8 State 2 at 3.1 Å, and State 3 at 3.2 Å, overall). We observed several new features in our maps; however, we cannot definitively determine the exact mechanism of yaku amide’s inhibition on the protein due to either resolution limits or suboptimal binding of the inhibitor.}, author = {Lukic, Kristina}, issn = {2663-337X}, pages = {224}, publisher = {Institute of Science and Technology Austria}, title = {{Membrane proteins in plant physiology and bioenergetics : Investigating auxin efflux transporter PIN8 and ATP synthase inhibition by the novel inhibitor Yaku'amide B}}, doi = {10.15479/at:ista:17319}, year = {2024}, } @phdthesis{17346, abstract = {Acquiring, retaining, and retrieving information over a wide range of timescales are crucial functions of the brain. The successful processing of memories affects many aspects of our lives and enables us and many other organisms to operate in a complex environment and to interact with it. In this context, the hippocampus and functionally connected brain areas, such as the prefrontal cortex, are central and have been subject to intensive research in the past decades. Storage of memories is believed to rely on distributed neural activity within these neural circuits. Additionally, neural memory traces of recent experience are reinstated during periods of rest or sleep. These reactivations are thought to play an outstanding role in the consolidation of memories and potentially facilitate the transfer of information from the hippocampus to cortical areas for long-term storage and integration into existing knowledge. However, there is growing evidence that memory-related neural representations in the hippocampus are not as stable as initially thought and that they change even in the absence of learning. It has been suggested that these changes reflect the accumulation of experience, but the influence of interspersed consolidation periods has not been considered. Previous studies have analyzed consolidation periods by detecting activity that strongly resembled neural activity during the acquisition of memory. Besides being often limited to only non-rapid eye movement (NREM) sleep, the used approaches were not capable of tracking changes in neural representations over extended temporal periods. More fluid representations do not only challenge our understanding of how information is stored, but they also affect the transfer of information between brain areas during the consolidation process. For this thesis, I investigated the evolution of memory-related activity during sleep periods expected to be involved in consolidation in the hippocampus and between the hippocampus and prefrontal cortex. I found that reactivated activity in the hippocampus gradually transformed during prolonged periods of sleep and inactivity. In the beginning, neural activity strongly resembled acquisition activity, whereas, with the progression of time, it became more similar to the subsequent recall activity. NREM periods drove this process, while rapid-eye movement (REM) periods showed a resetting effect. This reactivation drift was due to firing rate changes of a subset of cells and mirrored the representational changes from the acquisition to the recall. A stable subset of cells withstood the drift and maintained their activity. Therefore, my results indicate that memory-related representations undergo spontaneous modifications during consolidation periods and that these changes are predictive of representational drift. Furthermore, I found that the amount of change in the neural activity during subsequent sleep periods was biased by prior behavioral performance. Observed changes in the hippocampus and the prefrontal cortex were synchronized and increased after poor performance, highlighting a potential role in the exchange of information. Low-variance vii periods with distinct, more stable activity from a subset of cells significantly contributed to the heightened synchrony between both areas. Hence, interleaved phases of more stable neural activity could facilitate the information transfer between brain areas. In conclusion, my investigations underline the fluidity of memory-related representations and assign a prominent role to sleep reactivation periods in their evolution. In addition, I identified a potential mechanism of stable activity phases that might facilitate the synchronization across hippocampal-prefrontal activity despite ongoing changes. Reconciling and integrating findings from both spontaneous and behaviorally-related representational changes in functionally related brain areas will help to broaden our understanding of how knowledge is stored, maintained, updated, and transferred between brain areas.}, author = {Bollmann, Lars}, issn = {2663-337X}, keywords = {Memory, Hippocampus, Consolidation}, pages = {103}, publisher = {Institute of Science and Technology Austria}, title = {{Stability and change in the memory system during rest}}, doi = {10.15479/at:ista:17346}, year = {2024}, } @phdthesis{18129, abstract = {State-of-the-art quantum computers, with roughly a thousand qubits, face a crucial technological challenge of scaling up. Spins confined in quantum dots (QDs) are a promising candidate for qubits due to their long coherence, tunability, control, and readout. However, their natural coupling is the short-ranged (∼ 100 nm) exchange interaction, limited to nearest neighbours. Long-ranged (∼ 1 mm) qubit interactions mediated by a photon could be engineered through a coherent spin-photon coupling. Achieving a strong coupling to a photon is inherently challenging in QDs due to the small dipole moment of the confined charge. However, the potential of high-impedance resonators to compensate for this has gained significant attention in the past decade. Nevertheless, previous QD circuit quantum electrodynamics implementations have not exceeded the impedance of ∼ 3.8 kΩ, leaving opportunities for significant improvement. The large kinetic inductance of granular aluminium (grAl) could provide an order-of-magnitude enhancement. However, fully exploiting the potential of disordered or granular superconductors is challenging as their impedances close to the superconductor-to-insulator transition are difficult to control reproducibly. We report on the realization of a wireless ohmmeter which allows in situ resistance measurements during film deposition and, therefore, indirect control of the kinetic inductance of grAl films. This allows us to reproducibly fabricate resonators with characteristic impedance exceeding the resistance quantum, even reaching 22.3 kW, due to the large sheet kinetic inductance of up to 3 nH □−1 . By integrating an 8 kW resonator with a germanium double QD, we demonstrate a strong charge-photon coupling with the highest rate reported, 566 MHz. The demonstrated method and grAl properties make these resonators suitable for boosting the spin-photon coupling strength, a crucial requirement for fast, high-fidelity, long-distance two-qubit gates. }, author = {Janik, Marian}, issn = {2663-337X}, pages = {164}, publisher = {Institute of Science and Technology Austria}, title = {{Strong charge-photon coupling in Germanium enabled by granular aluminium superinductors}}, doi = {10.15479/at:ista:18129}, year = {2024}, } @phdthesis{17368, abstract = {Recent advancements in molecular diagnostic techniques have enabled the collection of multiple types of omics data from patients, including genomics, epigenomics, proteomics, and transcriptomics. However, we lack effective methods for integrating all these different data types and combining them with clinical outcomes to study the molecular mechanisms that govern pathological phenotypes. We present multi-omics BayesW, a penalized Bayesian regression method that can handle general omics data for survival analysis of time-to-event phenotypes. Our method can: (1) accommodate incomplete data by allowing censored individuals, (2) use continuous time-to-event data to test associations of markers with a phenotype and (3) estimate effects jointly while allowing for independent groups of biological markers. Extensive simulations using planted signals on real data demonstrate that our model accurately retrieves the true parameters of the model while controlling for false discoveries and maintaining the expected prediction accuracy. We address data correlations by estimating the effects jointly, even between omic groups, while also estimating the individual variance explained by each group. We apply our model to two datasets. Using 18,000 individuals from the Generation Scotland study we model the association of time at onset of Type 2 Diabetes, Stroke, Ischemic Disease, and Osteoarthritis from baseline study entry, with 831,724 CpG methylation probes. We find that large proportions of variation in disease onset times can be attributed to methylation as measured in whole blood at baseline in individuals without disease symptoms. We then apply our model to The Cancer Genome Atlas (TCGA) pan-cancer dataset, in which we use 5 types of omics: copy number variation, epigenetics, somatic mutations, miRNA, and gene expression. For cancer survival age-at-onset we find that, when fitting the 5 groups together, almost all variation attributable to "omics" data is explained by DNA methylation. When considering progression times, both methylation and gene expression explain a large part of the variance. We found 2 genes that are significantly associated (95% posterior inclusion probability) with cancer survival time, conditional on all other genome-wide omics data variation. Owing to the vast variability of mechanisms characterizing different cancers, there are likely few specific genes with a strong signal in a pan-cancer setting. Taken together, we showed the applicability of our multi-omics BayesW model to a wide-range of biological questions in multi-omics data. }, author = {Villanueva Marijuan, Ariadna}, issn = {2791-4585}, keywords = {Epigenetics, Multi-omics, Bayesian regression}, pages = {60}, publisher = {Institute of Science and Technology Austria}, title = {{Bayesian linear regression for analyzing general omics data with time-to-event phenotypes}}, doi = {10.15479/at:ista:17368}, year = {2024}, } @unpublished{18144, abstract = {High kinetic inductance superconductors are gaining increasing interest for the realisation of qubits, amplifiers and detectors. Moreover, thanks to their high impedance, quantum buses made of such materials enable large zero-point fluctuations of the voltage, boosting the coupling rates to spin and charge qubits. However, fully exploiting the potential of disordered or granular superconductors is challenging, as their inductance and, therefore, impedance at high values are difficult to control. Here we have integrated a granular aluminium resonator, having a characteristic impedance exceeding the resistance quantum, with a germanium double quantum dot and demonstrate strong charge-photon coupling with a rate of $g_\text{c}/2\pi= (566 \pm 2)$ MHz. This was achieved due to the realisation of a wireless ohmmeter, which allows \emph{in situ} measurements during film deposition and, therefore, control of the kinetic inductance of granular aluminium films. Reproducible fabrication of circuits with impedances (inductances) exceeding 13 k$\Omega$ (1 nH per square) is now possible. This broadly applicable method opens the path for novel qubits and high-fidelity, long-distance two-qubit gates.}, author = {Janik, Marian and Roux, Kevin Etienne Robert and Borja Espinosa, Carla N and Sagi, Oliver and Baghdadi, Abdulhamid and Adletzberger, Thomas and Calcaterra, Stefano and Botifoll, Marc and Manjón, Alba Garzón and Arbiol, Jordi and Chrastina, Daniel and Isella, Giovanni and Pop, Ioan M. and Katsaros, Georgios}, booktitle = {arXiv}, title = {{Strong charge-photon coupling in planar germanium enabled by granular aluminium superinductors}}, doi = {10.48550/arXiv.2407.03079}, year = {2024}, }