@inproceedings{20051,
  abstract     = {We revisit the majority problem in the population protocol communication model, as first studied by Angluin et al. (Distributed Computing 2008). We consider a more general version of this problem known as plurality consensus, which has already been studied intensively in the literature. In this problem, each node in a system of n nodes, has initially one of k different opinions, and they need to agree on the (relative) majority opinion. In particular, we consider the important and intensively studied model of Undecided State Dynamics.
Our main contribution is an almost tight lower bound on the stabilization time: we prove that there exists an initial configuration, even with bias \Delta = \omega(\sqrt{n\log n}), where stabilization requires \Omega(kn\log \frac {\sqrt n} {k \log n}) interactions, or equivalently, \Omega(k\log \frac {\sqrt n} {k \log n}) parallel time for any k = o\left(\frac {\sqrt n}{\log n}\right). This bound is tight for any k \le n^{\frac 1 2 - \epsilon}, where \epsilon >0 can be any small constant, as Amir et al.~(PODC'23) gave a O(k\log n) parallel time upper bound for k = O\left(\frac {\sqrt n} {\log ^2 n}\right).},
  author       = {El-Hayek, Antoine and Elsässer, Robert and Schmid, Stefan},
  booktitle    = {Proceedings of the ACM Symposium on Principles of Distributed Computing},
  isbn         = { 9798400718854},
  location     = {Huatulco, Mexico},
  publisher    = {Association for Computing Machinery},
  title        = {{An almost tight lower bound for plurality consensus with undecided state dynamics in the population protocol model}},
  doi          = {10.1145/3732772.3733505},
  year         = {2025},
}

@inproceedings{20052,
  abstract     = {This paper revisits a fundamental distributed computing problem in the population protocol model. Provided n agents each starting with an input color in [k], the relative majority problem asks to find the predominant color. In the population protocol model, at each time step, a scheduler selects two agents that first learn each other's states and then update their states based on what they learned.
We present the Circles protocol that solves the relative majority problem with k3 states. It is always-correct under weakly fair scheduling. Not only does it improve upon the best known upper bound of O(k7), but it also shows a strikingly simpler design inspired by energy minimization in chemical settings.},
  author       = {Breitkopf, Tom-Lukas and Dallot, Julien and El-Hayek, Antoine and Schmid, Stefan},
  booktitle    = {Proceedings of the ACM Symposium on Principles of Distributed Computing},
  isbn         = {9798400718854},
  location     = {Huatulco, Mexico},
  pages        = {549--552},
  publisher    = {Association for Computing Machinery},
  title        = {{Brief announcement: Minimizing energy solves relative majority with a cubic number of states in population protocols}},
  doi          = {10.1145/3732772.3733512},
  year         = {2025},
}

@inproceedings{20053,
  abstract     = {Liquid democracy is a transitive vote delegation mechanism over voting graphs. It enables each voter to delegate their vote(s) to another better-informed voter, with the goal of collectively making a better decision. The question of whether liquid democracy outperforms direct voting has been previously studied in the context of local delegation mechanisms (where voters can only delegate to someone in their neighbourhood) and binary decision problems. It has previously been shown that it is impossible for local delegation mechanisms to outperform direct voting in general graphs. This raises the question: for which classes of graphs do local delegation mechanisms yield good results?
In this work, we analyse (1) properties of specific graphs and (2) properties of local delegation mechanisms on these graphs, determining where local delegation actually outperforms direct voting. We show that a critical graph property enabling liquid democracy is that the voting outcome of local delegation mechanisms preserves a sufficient amount of variance, thereby avoiding situations where delegation falls behind direct voting1. These insights allow us to prove our main results, namely that there exist local delegation mechanisms that perform no worse and in fact quantitatively better than direct voting in natural graph topologies like complete, random d-regular, and bounded degree graphs, lending a more nuanced perspective to previous impossibility results.},
  author       = {Chatterjee, Krishnendu and Gilbert, Seth and Schmid, Stefan and Svoboda, Jakub and Yeo, Michelle X},
  booktitle    = {Proceedings of the ACM Symposium on Principles of Distributed Computing},
  isbn         = {9798400718854},
  location     = {Huatulco, Mexico},
  pages        = {241--251},
  publisher    = {Association for Computing Machinery},
  title        = {{When is liquid democracy possible?: On the manipulation of variance}},
  doi          = {10.1145/3732772.3733544},
  year         = {2025},
}

@inproceedings{20054,
  author       = {Horta, Sharona},
  booktitle    = {Proceedings of the MATSUS Spring 2025 Conference},
  location     = {Sevilla, Spain},
  publisher    = {Fundació de la comunitat valenciana SCITO},
  title        = {{Solid state diffusion in metal-semiconductors core-shell nanoparticle}},
  doi          = {10.29363/nanoge.matsusspring.2025.220},
  year         = {2025},
}

@inproceedings{20055,
  abstract     = {Supercrystals represent three-dimensional orderings of colloidal nanocrystals (NCs), showcasing collective properties in photonics, phononics, and electronics applications.1,2 Recent studies have shown that such assemblies are directly produced during nanocrystal reactions.3–6 However, a fundamental understanding of in situ formed supercrystals that withstand typical NC purification processes remains underexplored, which is important for further use. Herein, we report the reaction precursor-mediated formation of stable PbTe supercrystals. Rationalizing the formation of these assemblies through small-angle x-ray scattering (SAXS) measurements, we unveil their formation mechanism. Our findings reveal that the supercrystal formation occurs in the presence of an excess of lead oleates in the crude solution. It should be noted that the formed supercrystals can be stabilized under specific conditions determined by the lead oleate cluster concentration, content of trioctylphosphine telluride (TOP-Te), NC size and the need of an annealing step at mild conditions. Furthermore, this approach allows for the continuous growth of a secondary phase within the supercrystal; for example in the case of PbTe supercrystals, a PbS shell can be grown on each PbTe NC constituent, resulting in core-shell PbTe-PbS supercrystals. Our work elucidates that reaction precursors play an important role in in situ SC formation and stabilization, implying the possibility of applying this knowledge to other NC reactions.},
  author       = {Lee, Seungho and Balazs, Daniel and Horta, Sharona and Rayaroth Puthiyaveettil, Aiswarya and Ibáñez, Maria},
  booktitle    = {Proceedings of the MATSUS Spring 2025 Conference},
  location     = {Sevilla, Spain},
  publisher    = {Fundació de la comunitat valenciana SCITO},
  title        = {{Reaction precursor-mediated formation of stable supercrystals in colloidal nanocrystal synthesis: PbTe case}},
  doi          = {10.29363/nanoge.matsusspring.2025.173},
  year         = {2025},
}

@article{20056,
  abstract     = {Theoretical studies have shown that stochasticity can affect the dynamics of ecosystems in counterintuitive ways. However, without knowing the equations governing the dynamics of populations or ecosystems, it is difficult to ascertain the role of stochasticity in real datasets. Therefore, the inverse problem of inferring the governing stochastic equations from datasets is important. Here, we present an equation discovery methodology that takes time series data of state variables as input and outputs a stochastic differential equation. We achieve this by combining traditional approaches from stochastic calculus with the equation discovery techniques. We demonstrate the generality of the method via several applications. First, we deliberately choose various stochastic models with fundamentally different governing equations, yet they produce nearly identical steady-state distributions. We show that we can recover the correct underlying equations, and thus infer the structure of their stability, accurately from the analysis of time series data alone. We demonstrate our method on two real-world datasets—fish schooling and single-cell migration—that have vastly different spatiotemporal scales and dynamics. We illustrate various limitations and potential pitfalls of the method and how to overcome them via diagnostic measures. Finally, we provide our open-source code via a package named PyDaDDy (Python Library for Data-Driven Dynamics).},
  author       = {Nabeel, Arshed and Karichannavar, Ashwin and Palathingal, Shuaib and Jhawar, Jitesh and Brückner, David and Raj M, Danny and Guttal, Vishwesha},
  issn         = {1537-5323},
  journal      = {The American Naturalist},
  number       = {4},
  pages        = {E100--E117},
  publisher    = {University of Chicago Press},
  title        = {{Discovering stochastic dynamical equations from ecological time series data}},
  doi          = {10.1086/734083},
  volume       = {205},
  year         = {2025},
}

@phdthesis{20074,
  abstract     = {Prenatal immune challenges pose significant risks to human embryonic brain and eye development. However, we still lack knowledge about the safe usage of anti-inflammatory drugs during pregnancy. Human induced pluripotent stem cell (hIPSC)-derived brain organoid models provide a unique opportunity to investigate neuronal development and have started to explore functional consequences upon viral infection. However, brain organoids usually lack microglia, the brain-resident immune cells. They are present in the early human embryonic brain and actively participate in neuronal circuit development. At the same time, microglia are known for their immune-sensing properties and will influence viral-mediated effects. In my thesis, I was interested to study the multifunctional role of human microglia during retinal development. 
In chapter 1, I characterize the innate occurrence of IBA1+-microglia-like cells within the retinal organoid differentiation (Bartalska et al., 2022). Therefore, we differentiate hIPSC using an unguided retinal organoid differentiation protocol and observe the presence of IBA1+-microglia-like cells alongside retinal cups between week 3 and 4 in 2.5D culture. However, instead of infiltrating the neuroectodermal sides, they enrich within non-pigmented, 3D-cystic compartments that develop in low numbers parallel to 3D-retinal organoids. To enrich for IBA1+-microglia precursors (preMG), we guided the differentiation with a low-dosed BMP4 application, which prevents retinal cup development and enhances microglia and 3D-cysts formation. We characterize the differentiated preMG for their microglia-like identity and validated their functionality. In parallel, mass spectrometry identifies the 3D-cysts to express mesenchymal and epithelial markers. We confirm that comparable 3D-cysts are also the preferential environment for IBA1+-microglia-like cells within the unguided retinal organoid differentiation. 
In chapter 2, I investigate how microglia influence retinal development and whether they contribute to viral-mediated consequences (Schmied et al., 2025). Here, we assemble preMG, which we have characterized in chapter 1, into 3D-retinal organoids. Once the outer plexiform layer forms, microglia-like cells (iMG) populate them and interact with retinal cell types. However, at this developmental stage, the ganglion cell number decreases in 3D-retinal organoids. Thus, we adapted the model into 2D which promotes their survival. Integrated iMG engulf ganglion cells and control their cell number. In parallel, we apply the immunostimulant POLY(I:C) to mimic a fetal viral infection. Although POLY(I:C) stimulation affects iMG phenotype, it does not influence their interaction with ganglion cells. Furthermore, iMG presence significantly contributes to the supernatant’s inflammatory secretome and increases retinal cell proliferation. Simultaneous exposure to the non-steroidal anti-inflammatory drug (NSAID) ibuprofen dampens POLY(I:C)-mediated consequences of the iMG phenotype and ameliorates cell proliferation. Remarkably, while POLY(I:C) disrupts neuronal calcium dynamics independent of iMG presence, ibuprofen rescues this effect only in the presence of iMG. Mechanistically, ibuprofen blocks the enzymes cyclooxygenase 1 and 2 (COX1/ PTGS1 and COX2/ PTGS2) simultaneously, from which iMG predominantly express COX1. Selective inhibition of COX1 does not restore the calcium peak amplitude upon POLY(I:C) stimulation, indicating ibuprofen’s effect depends on the presence and interplay of both, COX1 and COX2. 
In summary, we characterized the 3D-retinal organoid model for the occurrence of IBA1+-microglia like cells. As the innately developing IBA1+-cells enrich in mesenchymal over retinal structures, we optimized a protocol to differentiate IBA1+-microglia precursors. By combining these two models we generate microglia-assembled retinal organoids. Our results underscore the importance of microglia during neurodevelopment, in the context of prenatal immune challenges and provide insight into the mechanisms by which ibuprofen exerts its protective effects during embryonic development.},
  author       = {Hübschmann, Verena},
  isbn         = {978-3-99078-060-2},
  issn         = {2663-337X},
  pages        = {151},
  publisher    = {Institute of Science and Technology Austria},
  title        = {{ Human microglia impact neuronal development in retinal organoids}},
  doi          = {10.15479/AT-ISTA-20074},
  year         = {2025},
}

@article{20077,
  abstract     = {Hyaluronic acid (HA) is a key extracellular matrix component of vertebrates, where it mediates cell adhesion, immune regulation, and tissue remodeling through its interaction with specific receptors. Although HA has been detected in a few invertebrate species, the lack of fundamental components of the molecular HA pathway poses relevant objections about its functional role in these species. Mining genomic and transcriptomic data, we considered the conservation of the gene locus encoding for the extracellular link protein (XLINK) in marine mussels as well as its expression patterns. Structural and phylogenetic analyses were undertaken to evaluate possible similarities with vertebrate orthologs and to infer the origin of this gene in invertebrates. Biochemical analysis was used to quantify HA in tissues of Mytilus galloprovincialis. As a result, we confirm that the mussel can produce HA (up to 1.02 ng/mg in mantle) and that its genome encodes two XLINK gene loci. These loci are conserved in Mytilidae species and show a complex evolutionary path. Mussel XLINK genes appeared to be expressed during developmental stages in three mussel species, ranking in the top 100 expressed genes in M. trossulus at 17 h post-fertilization. In conclusion, the presence of HA and an active gene with the potential to bind HA suggests that mussels have the potential to synthesize and use HA and are among the few invertebrates encoding this gene.},
  author       = {Rosani, Umberto and Altan, Nehir and Venier, Paola and Bortoletto, Enrico and Volpi, Nicola and Bernecky, Carrie A},
  issn         = {2079-7737},
  journal      = {Biology},
  number       = {8},
  publisher    = {MDPI},
  title        = {{Ancestral origin and functional expression of a hyaluronic acid pathway complement in mussels}},
  doi          = {10.3390/biology14080930},
  volume       = {14},
  year         = {2025},
}

@article{20078,
  abstract     = {Let A be an abelian variety defined over a number field K, E/K be an elliptic curve, and ϕ : A → Em be an isogeny defined over K. Let P ∈ A(K) be such that ϕ(P)=(Q1,..., Qm) with RankZ(⟨Q1,...,Qm⟩)=1. We will study a divisibility sequence related to the point P and show its relation with elliptic divisibility sequences.},
  author       = {Barańczuk, Stefan and Naskręcki, Bartosz and Verzobio, Matteo},
  issn         = {0022-314X},
  journal      = {Journal of Number Theory},
  pages        = {170--183},
  publisher    = {Elsevier},
  title        = {{Divisibility sequences related to abelian varieties isogenous to a power of an elliptic curve}},
  doi          = {10.1016/j.jnt.2025.06.001},
  volume       = {279},
  year         = {2025},
}

@article{20079,
  abstract     = {Research question: Is LINC01638 involved in regulation of epithelial-to-mesenchymal transition (EMT) in endometriosis?
Design: A prospective patient cohort study was combined with functional experiments in the 12Z endometriosis epithelial cell line to investigate the role of LINC01638 in endometriosis. Eutopic endometrial samples were collected by curettage, and ectopic endometrial lesion samples were collected by laparoscopic surgery from 24 control patients and 41 patients with endometriosis. The phenotype of 12Z cells was assessed following LINC01638 knockdown using siRNA, performing proliferation, adhesion, migration and invasion assays, as well as assessing apoptosis and cell cycle changes with flow cytometry assays. In order to assess the relationship between LINC01638 and histone deacetylase class 1 enzyme (HDAC1), LINC01638 knockdown was combined with HDAC inhibition with the specific HDAC inhibitor romidepsin.
Results: LINC01638 was up-regulated in the epithelial layer of endometriotic lesions, and LINC01638 knockdown in 12Z cells led to reduced proliferation, adhesion, migration and invasion. The reduction in proliferation was associated with increased p21 and p27 expression, and G1 phase arrest. Further analysis of LINC01638 control and knockdown cells revealed that a number of transcription factors associated with EMT are down-regulated in knockdown cells, along with the cytoskeleton regulatory gene RHOB, while HDAC1 was up-regulated. Chromatin immunoprecipitation analysis and HDAC1 inhibitory treatment combined with LINC01638 knockdown indicated that LINC01638 regulates RHOB expression via HDAC1-mediated promoter deacetylation. RHOB is up-regulated in the epithelial layer of endometriotic lesions compared with eutopic endometrium, supporting a role in the disease.
Conclusions: LINC01638 is an epigenetic regulator of the pathogenesis of endometriosis, promoting proliferation and EMT of endometriotic lesions.},
  author       = {Yotova, Iveta and Proestling, Katharina and Pauler, Florian and Rainer, Lisa and Kaup, Leonie and Heine, Jana and Sandrieser, Lejla and Wenzl, René and Hudson, Quanah J.},
  issn         = {1472-6491},
  journal      = {Reproductive Biomedicine Online},
  number       = {3},
  publisher    = {Elsevier},
  title        = {{LINC01638 promotes epithelial-to-mesenchymal transition in endometriosis epithelial cells by up-regulating RHOB via HDAC1 suppression}},
  doi          = {10.1016/j.rbmo.2025.104942},
  volume       = {51},
  year         = {2025},
}

@article{20080,
  abstract     = {Introduction: Acid-growth theory has been postulated in the 70s to explain the rapid elongation of plant cells in response to the hormone auxin. More recently, it has been demonstrated that activation of the proton ATPs pump (H+-ATPs) promoting acidification of the apoplast is the principal mechanism by which auxin and other hormones such as brassinosteroids (BR) induce cell elongation. Despite these advances, the impact of this acidification on the mechanical properties of the cell wall remained largely unexplored.

Methods: Here, we use elongation assays of Arabidopsis thaliana hypocotyls and Atomic Force Microscopy (AFM) to correlate hormone-induced tissue elongation and local changes in cell wall mechanical properties. Furthermore, employing transgenic lines over-expressing Pectin Methyl Esterase (PME), along with calcium chelators, we investigate the effect of pectin modification in hormone-driven cell elongation.

Results: We demonstrate that acidification of apoplast is necessary and sufficient to induce cell elongation through promoting cell wall softening. Moreover, we show that enhanced PME activity can induce both cell wall softening or stiffening in extracellular calcium dependent-manner and that tight control of PME activity is required for proper hypocotyl elongation.

Discussion: Our results confirm a dual role of PME in plant cell elongation. However, further investigation is needed to assess the status of pectin following short- or long-term PME treatments in order to determine if pectin methyl-esterification might promote its degradation as well as the role of PME inhibitors upon PME induction.},
  author       = {Gallemi, Marçal and Montesinos López, Juan C and Zarevski, Nikola and Pribyl, Jan and Skládal, Petr and Hannezo, Edouard B and Benková, Eva},
  issn         = {1664-462X},
  journal      = {Frontiers in Plant Science},
  publisher    = {Frontiers Media},
  title        = {{Dual role of pectin methyl esterase activity in the regulation of plant cell wall biophysical properties}},
  doi          = {10.3389/fpls.2025.1612366},
  volume       = {16},
  year         = {2025},
}

@article{20081,
  abstract     = {Information measures can be constructed from Rényi divergences much like mutual information from Kullback-Leibler divergence. One such information measure is known as Sibson α-mutual information and has received renewed attention recently in several contexts: concentration of measure under dependence, statistical learning, hypothesis testing, and estimation theory. In this paper, we survey and extend the state of the art. In particular, we introduce variational representations for Sibson α-mutual information and employ them in each described context to derive novel results. Namely, we produce generalized Transportation-Cost inequalities and Fano-type inequalities. We also present an overview of known applications, spanning from learning theory and Bayesian risk to universal prediction.},
  author       = {Esposito, Amedeo Roberto and Gastpar, Michael and Issa, Ibrahim},
  issn         = {1557-9654},
  journal      = {IEEE Transactions on Information Theory},
  publisher    = {IEEE},
  title        = {{Sibson α-mutual information and its variational representations}},
  doi          = {10.1109/TIT.2025.3587340},
  year         = {2025},
}

@article{20082,
  abstract     = {Efficient immune responses rely on the capacity of leukocytes to traverse diverse and complex tissues. To meet such changing environmental conditions, leukocytes usually adopt an ameboid configuration, using their forward-positioned nucleus as a probe to identify and follow the path of least resistance among pre-existing pores. We show that, in dense environments where even the largest pores preclude free passage, leukocytes position their nucleus behind the centrosome and organelles. The local compression imposed on the cell body by its surroundings triggers assembly of a central F-actin pool, located between cell front and nucleus. Central actin pushes outward to transiently dilate a path for organelles and nucleus. Pools of central and front actin are tightly coupled and experimental depletion of the central pool enhances actin accumulation and protrusion formation at the cell front. Although this shifted balance speeds up cells in permissive environments, migration in restrictive environments is impaired, as the unleashed leading edge dissociates from the trapped cell body. Our findings establish an actin regulatory loop that balances path dilation with advancement of the leading edge to maintain cellular coherence.},
  author       = {Dos Reis Rodrigues, Patricia and Avellaneda Sarrió, Mario and Canigova, Nikola and Gärtner, Florian R and Vaahtomeri, Kari and Riedl, Michael and De Vries, Ingrid and Merrin, Jack and Hauschild, Robert and Fukui, Yoshinori and Juanes Garcia, Alba and Sixt, Michael K},
  issn         = {1529-2916},
  journal      = {Nature Immunology},
  pages        = {1258–1266},
  publisher    = {Springer Nature},
  title        = {{Migrating immune cells globally coordinate protrusive forces}},
  doi          = {10.1038/s41590-025-02211-w},
  volume       = {26},
  year         = {2025},
}

@article{20098,
  abstract     = {Climate change is causing wildfires to become more frequent and intense. While predicting burned areas using bioclimatic and anthropogenic factors is an active research area, few studies have examined what drives the economic damages of wildfires. Our study aims to fill this gap by analyzing key factors influencing global economic wildfire damages and projecting future damages under three shared socioeconomic pathways (SSPs). We apply regression analyses to identify significant predictors of economic wildfire damages at country levels and use the fitted model to project future damages under SSP126, SSP245, and SSP370. Results show that the human vulnerability index (HVI), reflecting socioeconomic conditions, is the strongest predictor of historical wildfire damages, followed by water vapor pressure deficit during the fire season and population density around forested areas. We found high population density to be associated with lower damages. These findings contrast with studies of burned areas, where climate factors are more dominant. Our model projects that by 2070, average global economic wildfire damages will be three times higher under SSP370 than SSP126. Our model also shows that following SSP126 not only reduces wildfire damages but also lessens the inequalities in damage distribution across countries. This pathway’s dual focus on equitable socioeconomic progress and climate action potentially enhances a country’s resilience that helps mitigate wildfire damages. Our analyses also indicate that strong socioeconomic development can offset wildfire damages associated with climate hazards, although this is less certain under SSP370. SSP126’s integrated approach improves both socioeconomic conditions and limits global warming, providing substantial benefits to less developed countries while still reducing damages in developed nations, despite their already low HVI scores. Our work complements existing research on burned areas and underscores the importance of sustainable development and international collaboration in reducing the economic damages of wildfires.},
  author       = {Hwong, Yi-Ling and Byers, Edward and Werning, Michaela and Quilcaille, Yann},
  issn         = {2752-5295},
  journal      = {Environmental Research: Climate},
  number       = {3},
  publisher    = {IOP Publishing},
  title        = {{Sustainable development key to limiting climate change-driven wildfire damages}},
  doi          = {10.1088/2752-5295/adec11},
  volume       = {4},
  year         = {2025},
}

@article{20099,
  abstract     = {The hippocampus, critical for learning and memory, is dogmatically described as a trisynaptic circuit where dentate gyrus granule cells (GCs), CA3 pyramidal neurons (PNs), and CA1 PNs are serially connected. However, CA3 also forms an autoassociative network, and its PNs have diverse morphologies, intrinsic properties, and GC input levels. How PN subtypes compose this recurrent network is unknown. To determine the synaptic arrangement of identified CA3 PNs, we combine multicellular patch-clamp recording and post hoc morphological analysis in mouse hippocampal slices. PNs can be divided into distinct “superficial” and “deep” subclasses, the latter including previously reported “athorny” cells. Subclasses have distinct input-output transformations and asymmetric connectivity, which is more abundant from superficial to deep PNs, splitting CA3 locally into two parallel recurrent networks. Coincident spontaneous inhibition occurs frequently within but not between subclasses, implying subclass-specific inhibitory innervation. Our results suggest two separately controlled sublayers for parallel information processing in hippocampal CA3.},
  author       = {Watson, Jake and Vargas Barroso, Victor M and Jonas, Peter M},
  issn         = {2211-1247},
  journal      = {Cell Reports},
  number       = {8},
  publisher    = {Elsevier},
  title        = {{Cell-specific wiring routes information flow through hippocampal CA3}},
  doi          = {10.1016/j.celrep.2025.116080},
  volume       = {44},
  year         = {2025},
}

@article{20100,
  abstract     = {A key step in protein structure prediction involves the detection of co-evolving pairs of residues, a signal for spatial proximity. This information is gleaned from multiple sequence alignment and underscores Alphafold’s structure prediction for almost every known protein. A simple means to create proteins beyond those found in nature, is by unnaturally fusing together two known proteins or protein parts. Here we demonstrate that structured peptides are predicted with significantly reduced accuracy when added to the terminal ends of scaffold proteins. Appending the multiple sequence alignment for the individual peptide tags to that of the scaffold protein often restores prediction accuracy. This work suggests that this windowed multiple sequence alignment approach can be a useful tool for predicting the structure of fused, chimeric proteins.},
  author       = {Vedula, Sanketh and Bronstein, Alexander and Marx, Ailie},
  issn         = {2001-0370},
  journal      = {Computational and Structural Biotechnology Journal},
  pages        = {3292--3298},
  publisher    = {Elsevier},
  title        = {{Improving prediction accuracy in chimeric proteins with windowed multiple sequence alignment}},
  doi          = {10.1016/j.csbj.2025.07.039},
  volume       = {27},
  year         = {2025},
}

@article{20101,
  abstract     = {Evading imminent threat from predators is critical for animal survival. Effective defensive strategies can vary, even between closely related species. However, the neural basis of such species-specific behaviours remains poorly understood1,2,3,4. Here we find that two sister species of deer mice (genus Peromyscus)5 show different responses to the same looming stimulus: Peromyscus maniculatus, which occupies densely vegetated habitats, predominantly escapes, whereas the open field specialist, Peromyscus polionotus, briefly freezes. This difference arises from species-specific escape thresholds, is largely context-independent, and can be triggered by both visual and auditory threat stimuli. Using immunohistochemistry and electrophysiological recordings, we find that although visual threat activates the superior colliculus in both species, the role of the dorsal periaqueductal grey (dPAG) in driving behaviour differs. Whereas dPAG activity scales with running speed in P. maniculatus, neural activity in the dPAG of P. polionotus correlates poorly with movement, including during visually triggered escape. Moreover, optogenetic activation of dPAG neurons elicits acceleration in P. maniculatus but not in P. polionotus, and their chemogenetic inhibition during a looming stimulus delays escape onset in P. maniculatus to match that of P. polionotus. Together, we trace species-specific escape thresholds to a central circuit node, downstream of peripheral sensory neurons, localizing an ecologically relevant behavioural difference to a specific region of the mammalian brain.},
  author       = {Baier, Felix and Reinhard, Katja and Nuttin, Bram and Sans-Dublanc, Arnau and Liu, Chen and Tong, Victoria and Murmann, Julie Stefanie and Wierda, Keimpe and Farrow, Karl and Hoekstra, Hopi E.},
  issn         = {1476-4687},
  journal      = {Nature},
  pages        = {439--447},
  publisher    = {Springer Nature},
  title        = {{The neural basis of species-specific defensive behaviour in Peromyscus mice}},
  doi          = {10.1038/s41586-025-09241-2},
  volume       = {645},
  year         = {2025},
}

@article{20102,
  abstract     = {Speciation is rarely observable directly. A way forward is to compare pairs of ecotypes that evolved in parallel in similar contexts but have reached different degrees of reproductive isolation. Such comparisons are possible in the marine snail Littorina saxatilis by contrasting barriers to gene flow between parallel ecotypes in Spain and Sweden. In both countries, divergent ecotypes have evolved to withstand either crab predation or wave action. Here, we explore transects spanning contact zones between the Crab and the Wave ecotypes using low-coverage whole-genome sequencing, morphological and behavioural traits. Despite parallel phenotypic divergence, distinct patterns of differentiation between the ecotypes emerged: a continuous cline in Sweden indicating a weak barrier to gene flow, but two highly genetically and phenotypically divergent, and partly spatially overlapping clusters in Spain suggesting a much stronger barrier to gene flow. The absence of Spanish early-generation hybrids supported strong isolation, but a low level of gene flow is evident from molecular data. In both countries, highly differentiated loci were located in both shared and country-specific chromosomal inversions but were also present in collinear regions. Despite being considered the same species and showing similar levels of phenotypic divergence, the Spanish ecotypes are much closer to full reproductive isolation than the Swedish ones. Barriers to gene flow of very different strengths between ecotypes within the same species might be explained by dissimilarities in the spatial arrangement of habitats, the selection gradients or the ages of the systems.},
  author       = {Raffini, Francesca and De Jode, Aurélien and Johannesson, Kerstin and Faria, Rui and Zagrodzka, Zuzanna B. and Westram, Anja M and Galindo, Juan and Rolán-Alvarez, Emilio and Butlin, Roger K.},
  issn         = {1365-294X},
  journal      = {Molecular Ecology},
  number       = {21},
  publisher    = {Wiley},
  title        = {{Phenotypic divergence and genomic architecture between parallel ecotypes at two different points on the speciation continuum in a marine snail}},
  doi          = {10.1111/mec.70025},
  volume       = {34},
  year         = {2025},
}

@misc{20103,
  abstract     = {Official implementation, windowed MSAs, and the predictions as reported in the manuscript titled "Improving Prediction Accuracy in Chimeric Proteins with Windowed Multiple Sequence Alignment". (2025-06-27)},
  author       = {Vedula, Sanketh and Bronstein, Alexander and Marx, Ailie},
  publisher    = {Harvard Dataverse},
  title        = {{Replication Data for: "Improving Prediction Accuracy in Chimeric Proteins with Windowed Multiple Sequence Alignment"}},
  doi          = {10.7910/DVN/DYEBVM},
  year         = {2025},
}

@misc{20107,
  abstract     = {This repository contains the data and scripts required to reproduce the results of the manuscript "Sustainable Development Key to Limiting Climate Change-Driven Wildfire Damages" submitted to the Environmental Research Climate Journal (ERCL). },
  author       = {Hwong, Yi-Ling and Byers, Edward and Werning, Michaela and Quilcaille, Yann},
  publisher    = {Zenodo},
  title        = {{Data - Sustainable Development Key to Limiting Climate Change-Driven Wildfire Damages}},
  doi          = {10.5281/ZENODO.13988679},
  year         = {2025},
}

