@unpublished{18648,
  abstract     = {Statistical causal learning in genomics relies on the instrumental variable method of
Mendelian Randomization (MR). Currently, an overwhelming number of MR studies
purport to show causal relationships among a wide range of risk factors and outcomes.
Here, we show that selecting instrument variables from genome-wide association study
estimates leads to high false discovery rates for many MR approaches, which can be
greatly reduced by employing a graphical inference approach which: (i) explicitly tests
instrumental variable assumptions; (ii) distinguishes direct from indirect factors in very
high-dimensional data; (iii) discriminates pleiotropic from trait-specific markers, controlling for LD genome-wide; (iv) accommodates rare variants and binary outcomes in a
principled way; and (v) identifies potential unobserved latent confounding. For 17 traits
and 8.4M variants recorded for 458,747 individuals in the UK Biobank, we show that
standard MR analysis gives an abundance of findings that disappear under stringent
assumption checks, with many relationships reflecting potential unmeasured confounding. This implies that mixtures of temporal precedence and potential for reverse-causality
prohibit understanding the underlying nature of phenotypic and genetic correlations in
biobank data. We propose that well-curated longitudinal records are likely needed and
that our approach provides a first-step toward robust principled screening for potential
causal links.
},
  author       = {Machnik, Nick N and Mahmoudi, Seyed Mahdi and Borczyk, Malgorzata and Krätschmer, Ilse and Bauer, Markus J. and Robinson, Matthew Richard},
  booktitle    = {bioRxiv},
  title        = {{Causal inference for multiple risk factors and diseases from genomics data}},
  doi          = {10.1101/2023.12.06.570392},
  year         = {2024},
}

@phdthesis{18661,
  abstract     = {Across the tree of life, distinct designs of cellular membranes have evolved that are both stable
and flexible. In bacteria and eukaryotes this trade-off is accomplished by single-headed lipids
that self-assemble into flexible bilayer membranes. By contrast, archaea in many cases possess
both bilayer and double-headed, monolayer spanning bolalipids. This composition is believed
to enable extremophile archaea to survive harsh environments. Here, through the creation of a
minimal computational model for bolalipid membranes, we discover trade-offs when forming
membranes using lipids of a single type. Similar to living archaea, we can tune the stiffness of
bolalipid molecules. We find that membranes made out of flexible bolalipid molecules resemble
bilayer membranes as they can adopt U-shaped conformations to enable higher curvatures.
Conversely, rigid bolalipid molecules, like those found in archaea at higher temperatures,
preferentially take on a straight conformation to self-assemble into liquid membranes that are
stable, stiff, prone to pore formation, and which tear during membrane reshaping. Strikingly,
however, our analysis reveals that it is possible to achieve the best of both worlds – membranes
that are fluid, stable at high temperatures and flexible enough to be reshaped without leaking –
through the inclusion of a small fraction of bilayer lipids into a bolalipid membrane. Additionally,
the curvature-dependent softening of bolalipid membranes made of lipids with tension-sensitive
conformation can also enable high rigidity at low curvatures while softening at high curvatures,
making the membrane effectively a plastic material. Taken together, our study compares the
different membrane designs across the tree of life and indicates how combining lipids can be
used to resolve trade-offs when generating membranes for (bio)technological applications.
},
  author       = {Santana de Freitas Amaral, Miguel},
  isbn         = {978-3-99078-046-6},
  issn         = {2663-337X},
  pages        = {57},
  publisher    = {Institute of Science and Technology Austria},
  title        = {{Archaeal membranes : In silico modelling and design}},
  doi          = {10.15479/at:ista:18661},
  year         = {2024},
}

@unpublished{18670,
  abstract     = {Across the tree of life, distinct designs of cellular membranes have evolved. In bacteria and eukaryotes single-headed lipids self-assemble into flexible bilayer membranes. By contrast, archaea often possess double-headed, monolayer spanning bolalipids, mixed with bilayer lipids, enabling them to survive in harsh environments. Here, using a minimal computational model for bolalipid membranes, we discover trade-offs when forming membranes. We find that membranes made out of flexible bolalipids resemble bilayer membranes as bolalipids exhibit conformational switch into U-shaped conformations to enable higher curvatures. Conversely, stiffer bolalipids, resembling those in extremophile archaea, take on straight conformations and form liquid membranes that are stiff, and prone to pore formation during membrane reshaping. Strikingly, we show how to achieve fluid bolalipid membranes that are both stable and flexible – by including small amounts of bilayer lipids, as archaea do. Our study explains how different organisms resolve trade-offs when generating membranes of desired material properties.},
  author       = {Santana de Freitas Amaral, Miguel and Frey, Felix F and Jiang, Xiuyun and Baum, Buzz and Šarić, Anđela},
  booktitle    = {bioRxiv},
  title        = {{Stability vs flexibility: Reshaping archaeal membranes in silico}},
  doi          = {10.1101/2024.10.18.619072},
  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
            <jats:sup>2+</jats:sup>
            -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{17183,
  abstract     = {The photon blockade breakdown in a continuously driven cavity QED system has been proposed as a prime example for a first-order driven-dissipative quantum phase transition. However, the predicted scaling from a microscopic behavior—dominated by quantum fluctuations—to a macroscopic one—characterized by stable phases—and the associated exponents and phase diagram have not been observed so far. In this work we couple a single transmon qubit with a fixed coupling strength 𝑔 to a superconducting cavity that is in situ bandwidth 𝜅 tunable to controllably approach this thermodynamic limit. Even though the system remains microscopic, we observe its behavior becoming increasingly macroscopic as a function of 𝑔/𝜅. For the highest realized 𝑔/𝜅 of approximately 287, the system switches with a characteristic timescale as long as 6 s between a bright coherent state with approximately 8×103 intracavity photons and the vacuum state. This exceeds the microscopic timescales by 6 orders of magnitude and approaches the perfect hysteresis expected between two macroscopic attractors in the thermodynamic limit. These findings and interpretation are qualitatively supported by neoclassical theory and large-scale quantum-jump Monte Carlo simulations. Besides shedding more light on driven-dissipative physics in the limit of strong light-matter coupling, this system might also find applications in quantum sensing and metrology.},
  author       = {Sett, Riya and Hassani, Farid and Phan, Duc T and Barzanjeh, Shabir and Vukics, Andras and Fink, Johannes M},
  issn         = {2691-3399},
  journal      = {PRX Quantum},
  number       = {1},
  publisher    = {American Physical Society},
  title        = {{Emergent macroscopic bistability induced by a single superconducting qubit}},
  doi          = {10.1103/prxquantum.5.010327},
  volume       = {5},
  year         = {2024},
}

@misc{18978,
  abstract     = {Data analysis files for the manuscript "Emergent Macroscopic Bistability Induced by a Single Superconducting Qubit".

This contains the raw data and the data analysis files for generating the figures in the manuscript.

 Figure1 file - The raw data of cavity transmission spectra for 6 different kappas are there. They are fitted with input-output theory in the python file.
 Figure2 file - The raw data at 8 MHz kappa are included. all hte figures in figure 2 are generated in the python file
 Figure3 file - The raw data of PBB single shot measurements at all kappas are included. The detailed analysis and the Figure3 generated for the paper are all in the python analysis file. Also, thefiles containing the time-evolution of the intensity from Master Equation solution are included.
Figure4 file - The raw data at 2.6 MHz for different drive detunings and the corresponding analyses are included. And the python file includes the analysis of the experimental data as well as approximate neoclassical equations solutions for 2-level and 3-level transmons are included.  },
  author       = {Sett, Riya and Hassani, Farid and Phan, Duc T and Barzanjeh, Shabir and Vukics, Andras and Fink, Johannes M},
  publisher    = {Zenodo},
  title        = {{Data Analysis files for "Emergent Macroscopic Bistability Induced by a Single Superconducting Qubit"}},
  doi          = {10.5281/ZENODO.10518320},
  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{18706,
  abstract     = {We prove discrete-to-continuum convergence for dynamical optimal transport on  Zd
 -periodic graphs with cost functional having linear growth at infinity. This result provides an answer to a problem left open by Gladbach, Kopfer, Maas, and Portinale (Calc Var Partial Differential Equations 62(5), 2023), where the convergence behaviour of discrete boundary-value dynamical transport problems is proved under the stronger assumption of superlinear growth. Our result extends the known literature to some important classes of examples, such as scaling limits of  1 -Wasserstein transport problems. Similarly to what happens in the quadratic case, the geometry of the graph plays a crucial role in the structure of the limit cost function, as we discuss in the final part of this work, which includes some visual representations.},
  author       = {Portinale, Lorenzo and Quattrocchi, Filippo},
  issn         = {1469-4425},
  journal      = {European Journal of Applied Mathematics},
  pages        = {1--29},
  publisher    = {Cambridge University Press},
  title        = {{Discrete-to-continuum limits of optimal transport with linear growth on periodic graphs}},
  doi          = {10.1017/s0956792524000810},
  year         = {2024},
}

@unpublished{20571,
  abstract     = {We prove the convergence of a modified Jordan--Kinderlehrer--Otto scheme to a solution to the Fokker--Planck equation in $\Omega \Subset \mathbb{R}^d$ with general, positive and temporally constant, Dirichlet boundary conditions. We work under mild assumptions on the domain, the drift, and the initial datum.   In the special case where $\Omega$ is an interval in $\mathbb{R}^1$, we prove that such a solution is a gradient flow -- curve of maximal slope -- within a suitable space of measures, endowed with a modified Wasserstein distance.
Our discrete scheme and modified distance draw inspiration from contributions by A. Figalli and N. Gigli [J. Math. Pures Appl. 94, (2010), pp. 107--130], and J. Morales [J. Math. Pures Appl. 112, (2018), pp. 41--88] on an optimal-transport approach to evolution equations with Dirichlet boundary conditions. Similarly to these works, we allow the mass to flow from/to the boundary $\partial \Omega$ throughout the evolution. However, our leading idea is to also keep track of the mass at the boundary by working with measures defined on the whole closure $\overline \Omega$. The driving functional is a modification of the classical relative entropy that also makes use of the information at the boundary. As an intermediate result, when $\Omega$ is an interval in $\mathbb{R}^1$, we find a formula for the descending slope of this geodesically nonconvex functional. },
  author       = {Quattrocchi, Filippo},
  booktitle    = {arXiv},
  keywords     = {gradient flows, Jordan–Kinderlehrer–Otto scheme, curves of maximal slope, optimal transport, Dirichlet boundary conditions, Fokker–Planck equation},
  title        = {{Variational structures for the Fokker-Planck equation with general Dirichlet boundary conditions}},
  doi          = {10.48550/arXiv.2403.07803},
  year         = {2024},
}

@unpublished{20570,
  abstract     = {We investigate the minimal error in approximating a general probability
measure $\mu$ on $\mathbb{R}^d$ by the uniform measure on a finite set with
prescribed cardinality $n$. The error is measured in the $p$-Wasserstein
distance. In particular, when $1\le p<d$, we establish asymptotic upper and
lower bounds as $n \to \infty$ on the rescaled minimal error that have the
same, explicit dependency on $\mu$.
  In some instances, we prove that the rescaled minimal error has a limit.
These include general measures in dimension $d = 2$ with $1 \le p < 2$, and
uniform measures in arbitrary dimension with $1 \le p < d$. For some uniform
measures, we prove the limit existence for $p \ge d$ as well.
  For a class of compactly supported measures with H\"older densities, we
determine the convergence speed of the minimal error for every $p \ge 1$.
  Furthermore, we establish a new Pierce-type (i.e., nonasymptotic) upper
estimate of the minimal error when $1 \le p < d$.
  In the initial sections, we survey the state of the art and draw connections
with similar problems, such as classical and random quantization.},
  author       = {Quattrocchi, Filippo},
  booktitle    = {arXiv},
  keywords     = {optimal empirical quantization, vector quantization, Wasserstein distance, semidiscrete optimal transport, Zador’s Theorem, Pierce’s Lemma},
  title        = {{Asymptotics for optimal empirical quantization of measures}},
  doi          = {10.48550/arXiv.2408.12924},
  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{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},
}

@phdthesis{17465,
  abstract     = {In the modern age of machine learning, artificial neural networks have become an integral part
of many practical systems. One of the key ingredients of the success of the deep learning
approach is recent computational advances which allowed the training of models with billions
of parameters on large-scale data. Such over-parameterized and data-hungry regimes pose a
challenge for the theoretical analysis of modern models since “classical” statistical wisdom
is no longer applicable. In this view, it is paramount to extend or develop new machinery
that will allow tackling the neural network analysis under new challenging asymptotic regimes,
which is the focus of this thesis.
Large neural network systems are usually optimized via “local” search algorithms, such
as stochastic gradient descent (SGD). However, given the high-dimensional nature of the
parameter space, it is a priori not clear why such a crude “local” approach works so remarkably
well in practice. We take a step towards demystifying this phenomenon by showing that
the landscape of the SGD training dynamics exhibits a few beneficial properties for the
optimization. First, we show that along the SGD trajectory an over-parameterized network
is dropout stable. The emergence of dropout stability allows to conclude that the minima
found by SGD are connected via a continuous path of small loss. This in turn means that
the high-dimensional landscape of the neural network optimization problem is provably not so
unfavourable to gradient-based training, due to mode connectivity. Next, we show that SGD
for an over-parameterized network tends to find solutions that are functionally more “simple”.
This in turn means that the SGD minima are more robust, since a less complicated solution
will less likely overfit the data. More formally, for a prototypical example of a wide two-layer
ReLU network on a 1d regression task we show that the SGD algorithm is implicitly selective in
its choice of an interpolating solution. Namely, at convergence the neural network implements
a piece-wise linear function with the number of linear regions depending only on the amount
of training data. This is in contrast to a “smooth”-like behaviour which one would expect
given such a severe over-parameterization of the model.
Diverging from the generic supervised setting of classification and regression problems, we
analyze an auto-encoder model that is commonly used for representation learning and data
compression. Despite the wide applicability of the auto-encoding paradigm, the theoretical
understanding of their behaviour is limited even in the simplistic shallow case. The related
work is restricted to extreme asymptotic regimes in which the auto-encoder is either severely
over-parameterized or under-parameterized. In contrast, we provide a tight characterization
for the 1-bit compression of Gaussian signals in the challenging proportional regime, i.e., the
input dimension and the size of the compressed representation obey the same asymptotics.
We also show that gradient-based methods are able to find a globally optimal solution and
that the predictions made for Gaussian data extrapolate beyond - to the case of compression
of natural images. Next, we relax the Gaussian assumption and study more structured input
sources. We show that the shallow model is sometimes agnostic to the structure of the data
vii
which results in a Gaussian-like behaviour. We prove that making the decoding component
slightly less shallow is already enough to escape the “curse” of Gaussian performance.
},
  author       = {Shevchenko, Aleksandr},
  issn         = {2663-337X},
  pages        = {232},
  publisher    = {Institute of Science and Technology Austria},
  title        = {{High-dimensional limits in artificial neural networks}},
  doi          = {10.15479/at:ista:17465},
  year         = {2024},
}

@phdthesis{17881,
  abstract     = {This work can be broadly classified into the study of critical phenomena in a one dimensional
array of Josephson junctions. While we study quantum criticality when the array is in thermal
equilibrium at zero bias, the non-equilibrium study involves understanding the bistability of the
array at a critical non-zero bias. This work furthers our knowledge in understanding quantum
critical behaviour at finite temperatures in a one dimensional Josephson array, while also
establishing relaxation behaviour dual to that observed in a single Josephson junction.
Chapter 1 briefly introduces the model to understand superconductor-insulator phase transition
in a one dimensional Josephson array and points out the state of the field from where we
started our zero-bias experiments. In this context it discusses the phase-charge duality observed
in a Josephson array and its dual hysteretic behaviour to that of a single junction, setting the
ground for our non-equilibrium study of the array.
Chapter 2 shows the experimental setup and the chip layout of the device we measured.
In chapter 3 we show that, unlike the typical quantum-critical broadening scenario, in one dimensional Josephson arrays temperature dramatically shifts the critical region. This shift leads
to a regime of superconductivity at high temperature, arising from the melted zero-temperature
insulator. Our results quantitatively explain the low-temperature onset of superconductivity in
nominally insulating regimes, and the transition to the strongly insulating phase. We further
present, to our knowledge, the first understanding of the onset of anomalous-metallic resistance
saturation [30]. This work demonstrates a non-trivial interplay between thermal effects and
quantum criticality. A practical consequence is that, counterintuitively, the coherence of
high-impedance quantum circuits is expected to be stabilized by thermal fluctuations.
In chapter 4, we show relaxation oscillations in a current-biased one dimensional array of
Josephson junctions. These oscillations are well described by a circuit model, dual to the
ordinary Josephson relaxation oscillations [72]. Injection locking these oscillations results in
current plateaux. The relaxation step is found to obey a characteristic self-consistent relation,
suggesting that it is governed by overheating effects.
Chapter 5 describes the various checks and analysis we performed to support our conclusions
made in chapters 3 and 4.
Finally, chapter 6 describes the nanofabrication steps and the finite element electromagnetic
simulations we performed to fabricate our devices.},
  author       = {Mukhopadhyay, Soham},
  isbn         = {978-3-99078-043-5},
  issn         = {2663-337X},
  pages        = {82},
  publisher    = {Institute of Science and Technology Austria},
  title        = {{Thermal effects in one dimensional Josephson chains}},
  doi          = {10.15479/at:ista:17881},
  year         = {2024},
}

@inproceedings{17469,
  abstract     = {Autoencoders are a prominent model in many empirical branches of machine learning and lossy data compression. However, basic theoretical questions remain unanswered even in a shallow two-layer setting. In particular, to what degree does a shallow autoencoder capture the structure of the underlying data distribution? For the prototypical case of the 1-bit compression of sparse Gaussian data, we prove that gradient descent converges to a solution that completely disregards the sparse structure of the input. Namely, the performance of the algorithm is the same as if it was compressing a Gaussian source - with no sparsity. For general data distributions, we give evidence of a phase transition phenomenon in the shape of the gradient descent minimizer, as a function of the data sparsity: below the critical sparsity level, the minimizer is a rotation taken uniformly at random (just like in the compression of non-sparse data); above the critical sparsity, the minimizer is the identity (up to a permutation). Finally, by exploiting a connection with approximate message passing algorithms, we show how to improve upon Gaussian performance for the compression of sparse data: adding a denoising function to a shallow architecture already reduces the loss provably, and a suitable multi-layer decoder leads to a further improvement. We validate our findings on image datasets, such as CIFAR-10 and MNIST.},
  author       = {Kögler, Kevin and Shevchenko, Aleksandr and Hassani, Hamed and Mondelli, Marco},
  booktitle    = {Proceedings of the 41st International Conference on Machine Learning},
  location     = {Vienna, Austria},
  pages        = {24964--25015},
  publisher    = {ML Research Press},
  title        = {{Compression of structured data with autoencoders: Provable benefit of nonlinearities and depth}},
  volume       = {235},
  year         = {2024},
}

