@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},
}

@phdthesis{12716,
  abstract     = {The process of detecting and evaluating sensory information to guide behaviour is termed perceptual decision-making (PDM), and is critical for the ability of an organism to interact with its external world. Individuals with autism, a neurodevelopmental condition primarily characterised by social and communication difficulties, frequently exhibit altered sensory processing and PDM difficulties are widely reported. Recent technological advancements have pushed forward our understanding of the genetic changes accompanying this condition, however our understanding of how these mutations affect the function of specific neuronal circuits and bring about the corresponding behavioural changes remains limited. Here, we use an innate PDM task, the looming avoidance response (LAR) paradigm, to identify a convergent behavioural abnormality across three molecularly distinct genetic mouse models of autism (Cul3, Setd5 and Ptchd1). Although mutant mice can rapidly detect threatening visual stimuli, their responses are consistently delayed, requiring longer to initiate an appropriate response than their wild-type siblings. Mutant animals show abnormal adaptation in both their stimulus- evoked escape responses and exploratory dynamics following repeated stimulus presentations. Similarly delayed behavioural responses are observed in wild-type animals when faced with more ambiguous threats, suggesting the mutant phenotype could arise from a dysfunction in the flexible control of this PDM process.
Our knowledge of the core neuronal circuitry mediating the LAR facilitated a detailed dissection of the neuronal mechanisms underlying the behavioural impairment. In vivo extracellular recording revealed that visual responses were unaffected within a key brain region for the rapid processing of visual threats, the superior colliculus (SC), indicating that the behavioural delay was unlikely to originate from sensory impairments. Delayed behavioural responses were recapitulated in the Setd5 model following optogenetic stimulation of the excitatory output neurons of the SC, which are known to mediate escape initiation through the activation of cells in the underlying dorsal periaqueductal grey (dPAG). In vitro patch-clamp recordings of dPAG cells uncovered a stark hypoexcitability phenotype in two out of the three genetic models investigated (Setd5 and Ptchd1), that in Setd5, is mediated by the misregulation of voltage-gated potassium channels. Overall, our results show that the ability to use visual information to drive efficient escape responses is impaired in three diverse genetic mouse models of autism and that, in one of the models studied, this behavioural delay likely originates from differences in the intrinsic excitability of a key subcortical node, the dPAG. Furthermore, this work showcases the use of an innate behavioural paradigm to mechanistically dissect PDM processes in autism.},
  author       = {Burnett, Laura},
  issn         = {2663-337X},
  pages        = {178},
  publisher    = {Institute of Science and Technology Austria},
  title        = {{To flee, or not to flee? Using innate defensive behaviours to investigate rapid perceptual decision-making through subcortical circuits in mouse models of autism}},
  doi          = {10.15479/at:ista:12716},
  year         = {2023},
}

@phdthesis{12726,
  abstract     = {Most motions of many-body systems at any scale in nature with sufficient degrees
of freedom tend to be chaotic; reaching from the orbital motion of planets, the air
currents in our atmosphere, down to the water flowing through our pipelines or
the movement of a population of bacteria. To the observer it is therefore intriguing
when a moving collective exhibits order. Collective motion of flocks of birds, schools
of fish or swarms of self-propelled particles or robots have been studied extensively
over the past decades but the mechanisms involved in the transition from chaos to
order remain unclear. Here, the interactions, that in most systems give rise to chaos,
sustain order. In this thesis we investigate mechanisms that preserve, destabilize
or lead to the ordered state. We show that endothelial cells migrating in circular
confinements transition to a collective rotating state and concomitantly synchronize
the frequencies of nucleating actin waves within individual cells. Consequently,
the frequency dependent cell migration speed uniformizes across the population.
Complementary to the WAVE dependent nucleation of traveling actin waves, we
show that in leukocytes the actin polymerization depending on WASp generates
pushing forces locally at stationary patches. Next, in pipe flows, we study methods
to disrupt the self–sustaining cycle of turbulence and therefore relaminarize the
flow. While we find in pulsating flow conditions that turbulence emerges through a
helical instability during the decelerating phase. Finally, we show quantitatively in
brain slices of mice that wild-type control neurons can compensate the migratory
deficits of a genetically modified neuronal sub–population in the developing cortex.},
  author       = {Riedl, Michael},
  issn         = {2663-337X},
  pages        = {260},
  publisher    = {Institute of Science and Technology Austria},
  title        = {{Synchronization in collectively moving active matter}},
  doi          = {10.15479/at:ista:12726},
  year         = {2023},
}

@article{12802,
  abstract     = {Little is known about the critical metabolic changes that neural cells have to undergo during development and how temporary shifts in this program can influence brain circuitries and behavior. Inspired by the discovery that mutations in SLC7A5, a transporter of metabolically essential large neutral amino acids (LNAAs), lead to autism, we employed metabolomic profiling to study the metabolic states of the cerebral cortex across different developmental stages. We found that the forebrain undergoes significant metabolic remodeling throughout development, with certain groups of metabolites showing stage-specific changes, but what are the consequences of perturbing this metabolic program? By manipulating Slc7a5 expression in neural cells, we found that the metabolism of LNAAs and lipids are interconnected in the cortex. Deletion of Slc7a5 in neurons affects the postnatal metabolic state, leading to a shift in lipid metabolism. Additionally, it causes stage- and cell-type-specific alterations in neuronal activity patterns, resulting in a long-term circuit dysfunction.},
  author       = {Knaus, Lisa and Basilico, Bernadette and Malzl, Daniel and Gerykova Bujalkova, Maria and Smogavec, Mateja and Schwarz, Lena A. and Gorkiewicz, Sarah and Amberg, Nicole and Pauler, Florian and Knittl-Frank, Christian and Tassinari, Marianna and Maulide, Nuno and Rülicke, Thomas and Menche, Jörg and Hippenmeyer, Simon and Novarino, Gaia},
  issn         = {0092-8674},
  journal      = {Cell},
  keywords     = {General Biochemistry, Genetics and Molecular Biology},
  number       = {9},
  pages        = {1950--1967.e25},
  publisher    = {Elsevier},
  title        = {{Large neutral amino acid levels tune perinatal neuronal excitability and survival}},
  doi          = {10.1016/j.cell.2023.02.037},
  volume       = {186},
  year         = {2023},
}

@misc{12817,
  abstract     = {3D-reconstruction of living brain tissue down to individual synapse level would create opportunities for decoding the dynamics and structure-function relationships of the brain’s complex and dense information processing network. However, it has been hindered by insufficient 3D-resolution, inadequate signal-to-noise-ratio, and prohibitive light burden in optical imaging, whereas electron microscopy is inherently static. Here we solved these challenges by developing an integrated optical/machine learning technology, LIONESS (Live Information-Optimized Nanoscopy Enabling Saturated Segmentation). It leverages optical modifications to stimulated emission depletion (STED) microscopy in comprehensively, extracellularly labelled tissue and prior information on sample structure via machine learning to simultaneously achieve isotropic super-resolution, high signal-to-noise-ratio, and compatibility with living tissue. This allows dense deep-learning-based instance segmentation and 3D-reconstruction at synapse level incorporating molecular, activity, and morphodynamic information. LIONESS opens up avenues for studying the dynamic functional (nano-)architecture of living brain tissue.},
  author       = {Danzl, Johann G},
  publisher    = {Institute of Science and Technology Austria},
  title        = {{Research data for the publication "Dense 4D nanoscale reconstruction of living brain tissue"}},
  doi          = {10.15479/AT:ISTA:12817},
  year         = {2023},
}

@phdthesis{12826,
  abstract     = {During navigation, animals can infer the structure of the environment by computing the optic flow cues elicited by their own movements, and subsequently use this information to instruct proper locomotor actions. These computations require a panoramic assessment of the visual environment in order to disambiguate similar sensory experiences that may require distinct behavioral responses. The estimation of the global motion patterns is therefore essential for successful navigation. Yet, our understanding of the algorithms and implementations that enable coherent panoramic visual perception remains scarce. Here I pursue this problem by dissecting the functional aspects of interneuronal communication in the lobula plate tangential cell network in Drosophila melanogaster. The results presented in the thesis demonstrate that the basis for effective interpretation of the optic flow in this circuit are stereotyped synaptic connections that mediate the formation of distinct subnetworks, each extracting a particular pattern of global motion. 
Firstly, I show that gap junctions are essential for a correct interpretation of binocular motion cues by horizontal motion-sensitive cells. HS cells form electrical synapses with contralateral H2 neurons that are involved in detecting yaw rotation and translation. I developed an FlpStop-mediated mutant of a gap junction protein ShakB that disrupts these electrical synapses. While the loss of electrical synapses does not affect the tuning of the direction selectivity in HS neurons, it severely alters their sensitivity to horizontal motion in the contralateral side. These physiological changes result in an inappropriate integration of binocular motion cues in walking animals. While wild-type flies form a binocular perception of visual motion by non-linear integration of monocular optic flow cues, the mutant flies sum the monocular inputs linearly. These results indicate that rather than averaging signals in neighboring neurons, gap-junctions operate in conjunction with chemical synapses to mediate complex non-linear optic flow computations.
Secondly, I show that stochastic manipulation of neuronal activity in the lobula plate tangential cell network is a powerful approach to study the neuronal implementation of optic flow-based navigation in flies. Tangential neurons form multiple subnetworks, each mediating course-stabilizing response to a particular global pattern of visual motion. Application of genetic mosaic techniques can provide sparse optogenetic activation of HS cells in numerous combinations. These distinct combinations of activated neurons drive an array of distinct behavioral responses, providing important insights into how visuomotor transformation is performed in the lobula plate tangential cell network. This approach can be complemented by stochastic silencing of tangential neurons, enabling direct assessment of the functional role of individual tangential neurons in the processing of specific visual motion patterns.
	Taken together, the findings presented in this thesis suggest that establishing specific activity patterns of tangential cells via stereotyped synaptic connectivity is a key to efficient optic flow-based navigation in Drosophila melanogaster.},
  author       = {Pokusaeva, Victoria},
  issn         = {2663-337X},
  pages        = {106},
  publisher    = {Institute of Science and Technology Austria},
  title        = {{Neural control of optic flow-based navigation in Drosophila melanogaster}},
  doi          = {10.15479/at:ista:12826},
  year         = {2023},
}

@article{12830,
  abstract     = {Interstitial fluid (IF) accumulation between embryonic cells is thought to be important for embryo patterning and morphogenesis. Here, we identify a positive mechanical feedback loop between cell migration and IF relocalization and find that it promotes embryonic axis formation during zebrafish gastrulation. We show that anterior axial mesendoderm (prechordal plate [ppl]) cells, moving in between the yolk cell and deep cell tissue to extend the embryonic axis, compress the overlying deep cell layer, thereby causing IF to flow from the deep cell layer to the boundary between the yolk cell and the deep cell layer, directly ahead of the advancing ppl. This IF relocalization, in turn, facilitates ppl cell protrusion formation and migration by opening up the space into which the ppl moves and, thereby, the ability of the ppl to trigger IF relocalization by pushing against the overlying deep cell layer. Thus, embryonic axis formation relies on a hydraulic feedback loop between cell migration and IF relocalization.},
  author       = {Huljev, Karla and Shamipour, Shayan and Nunes Pinheiro, Diana C and Preusser, Friedrich and Steccari, Irene and Sommer, Christoph M and Naik, Suyash and Heisenberg, Carl-Philipp J},
  issn         = {1878-1551},
  journal      = {Developmental Cell},
  number       = {7},
  pages        = {582--596.e7},
  publisher    = {Elsevier},
  title        = {{A hydraulic feedback loop between mesendoderm cell migration and interstitial fluid relocalization promotes embryonic axis formation in zebrafish}},
  doi          = {10.1016/j.devcel.2023.02.016},
  volume       = {58},
  year         = {2023},
}

@inbook{13052,
  abstract     = {Imaging of the immunological synapse (IS) between dendritic cells (DCs) and T cells in suspension is hampered by suboptimal alignment of cell-cell contacts along the vertical imaging plane. This requires optical sectioning that often results in unsatisfactory resolution in time and space. Here, we present a workflow where DCs and T cells are confined between a layer of glass and polydimethylsiloxane (PDMS) that orients the cells along one, horizontal imaging plane, allowing for fast en-face-imaging of the DC-T cell IS.},
  author       = {Leithner, Alexander F and Merrin, Jack and Sixt, Michael K},
  booktitle    = {The Immune Synapse},
  editor       = {Baldari, Cosima and Dustin, Michael},
  isbn         = {9781071631348},
  issn         = {1940-6029},
  pages        = {137--147},
  publisher    = {Springer Nature},
  title        = {{En-Face Imaging of T Cell-Dendritic Cell Immunological Synapses}},
  doi          = {10.1007/978-1-0716-3135-5_9},
  volume       = {2654},
  year         = {2023},
}

@phdthesis{13107,
  abstract     = {Within the human body, the brain exhibits the highest rate of energy consumption amongst all organs, with the majority of generated ATP being utilized to sustain neuronal activity. Therefore, the metabolism of the mature cerebral cortex is geared towards preserving metabolic homeostasis whilst generating significant amounts of energy. This requires a precise interplay between diverse metabolic pathways, spanning from a tissue-wide scale to the level of individual neurons. Disturbances to this delicate metabolic equilibrium, such as those resulting from maternal malnutrition
or mutations affecting metabolic enzymes, often result in neuropathological variants of neurodevelopment. For instance, mutations in SLC7A5, a transporter of metabolically essential large neutral amino acids (LNAAs), have been associated with autism and microcephaly. However, despite recent progress in the field, the extent of metabolic restructuring that occurs within the developing brain and the corresponding alterations in nutrient demands during various critical periods remain largely unknown. To investigate this, we performed metabolomic profiling of the murine cerebral cortex to characterize the metabolic state of the forebrain at different developmental stages. We found that the developing cortex undergoes substantial metabolic reprogramming, with specific sets of metabolites displaying stage-specific changes. According to our observations, we determined a distinct temporal period in postnatal development during which the cortex displays heightened reliance on LNAAs. Hence, using a conditional knock-out mouse model, we deleted Slc7a5 in neural cells, allowing us to monitor the impact of a perturbed neuronal metabolic state across multiple developmental stages of corticogenesis. We found that manipulating the levels of essential LNAAs in cortical neurons in vivo affects one particular perinatal developmental period critical for cortical network refinement. Abnormally low intracellular LNAA levels result in cell-autonomous alterations in neuronal lipid metabolism, excitability, and survival during this particular time window. Although most of the effects of Slc7a5 deletion on neuronal physiology are transient, derailment of these processes during this brief but crucial window leads to long-term circuit dysfunction in mice. In conclusion, out data indicate that the cerebral cortex undergoes significant metabolic reorganization during development. This process involves the intricate integration of multiple metabolic pathways to ensure optimal neuronal function throughout different developmental stages. Our findings offer a paradigm for understanding how neurons synchronize the expression of nutrient-related genes with their activity to allow proper brain maturation. Further, our results demonstrate that disruptions in these precisely calibrated metabolic processes during critical periods of brain development may result in neuropathological outcomes in mice and in humans.},
  author       = {Knaus, Lisa},
  issn         = {2663-337X},
  pages        = {147},
  publisher    = {Institute of Science and Technology Austria},
  title        = {{The metabolism of the developing brain : How large neutral amino acids modulate perinatal neuronal excitability and survival}},
  doi          = {10.15479/at:ista:13107},
  year         = {2023},
}

@misc{13116,
  abstract     = {The emergence of large-scale order in self-organized systems relies on local interactions between individual components. During bacterial cell division, FtsZ -- a prokaryotic homologue of the eukaryotic protein tubulin -- polymerizes into treadmilling filaments that further organize into a cytoskeletal ring. In vitro, FtsZ filaments can form dynamic chiral assemblies. However, how the active and passive properties of individual filaments relate to these large-scale self-organized structures remains poorly understood. Here, we connect single filament properties with the mesoscopic scale by combining minimal active matter simulations and biochemical reconstitution experiments. We show that density and flexibility of active chiral filaments define their global order. At intermediate densities, curved, flexible filaments organize into chiral rings and polar bands. An effectively nematic organization dominates for high densities and for straight, mutant filaments with increased rigidity. Our predicted phase diagram captures these features quantitatively, demonstrating how the flexibility, density and chirality of active filaments affect their collective behaviour. Our findings shed light on the fundamental properties of active chiral matter and explain how treadmilling FtsZ filaments organize during bacterial cell division. },
  author       = {Dunajova, Zuzana and Prats Mateu, Batirtze and Radler, Philipp and Lim, Keesiang and Brandis, Dörte and Velicky, Philipp and Danzl, Johann G and Wong, Richard W. and Elgeti, Jens and Hannezo, Edouard B and Loose, Martin},
  publisher    = {Institute of Science and Technology Austria},
  title        = {{Chiral and nematic phases of flexible active filaments}},
  doi          = {10.15479/AT:ISTA:13116},
  year         = {2023},
}

@misc{13126,
  abstract     = {Mapping the complex and dense arrangement of cells and their connectivity in brain tissue demands nanoscale spatial resolution imaging. Super-resolution optical microscopy excels at visualizing specific molecules and individual cells but fails to provide tissue context. Here, we developed Comprehensive Analysis of Tissues across Scales (CATS), a technology to densely map brain tissue architecture from millimeter regional to nanometer synaptic scales in diverse chemically fixed brain preparations, including rodent and human. CATS uses fixation-compatible extracellular labeling and optical imaging, including stimulated emission depletion or expansion microscopy, to comprehensively delineate cellular structures. It enables three-dimensional reconstruction of single synapses and mapping of synaptic connectivity by identification and analysis of putative synaptic cleft regions. Applying CATS to the mouse hippocampal mossy fiber circuitry, we reconstructed and quantified the synaptic input and output structure of identified neurons. We furthermore demonstrate applicability to clinically derived human tissue samples, including formalin-fixed paraffin-embedded routine diagnostic specimens, for visualizing the cellular architecture of brain tissue in health and disease.},
  author       = {Danzl, Johann G},
  publisher    = {Institute of Science and Technology Austria},
  title        = {{Research data for the publication "Imaging brain tissue architecture across millimeter to nanometer scales"}},
  doi          = {10.15479/AT:ISTA:13126},
  year         = {2023},
}

@article{13314,
  abstract     = {The emergence of large-scale order in self-organized systems relies on local interactions between individual components. During bacterial cell division, FtsZ—a prokaryotic homologue of the eukaryotic protein tubulin—polymerizes into treadmilling filaments that further organize into a cytoskeletal ring. In vitro, FtsZ filaments can form dynamic chiral assemblies. However, how the active and passive properties of individual filaments relate to these large-scale self-organized structures remains poorly understood. Here we connect single-filament properties with the mesoscopic scale by combining minimal active matter simulations and biochemical reconstitution experiments. We show that the density and flexibility of active chiral filaments define their global order. At intermediate densities, curved, flexible filaments organize into chiral rings and polar bands. An effectively nematic organization dominates for high densities and for straight, mutant filaments with increased rigidity. Our predicted phase diagram quantitatively captures these features, demonstrating how the flexibility, density and chirality of the active filaments affect their collective behaviour. Our findings shed light on the fundamental properties of active chiral matter and explain how treadmilling FtsZ filaments organize during bacterial cell division.},
  author       = {Dunajova, Zuzana and Prats Mateu, Batirtze and Radler, Philipp and Lim, Keesiang and Brandis, Dörte and Velicky, Philipp and Danzl, Johann G and Wong, Richard W. and Elgeti, Jens and Hannezo, Edouard B and Loose, Martin},
  issn         = {1745-2481},
  journal      = {Nature Physics},
  pages        = {1916--1926},
  publisher    = {Springer Nature},
  title        = {{Chiral and nematic phases of flexible active filaments}},
  doi          = {10.1038/s41567-023-02218-w},
  volume       = {19},
  year         = {2023},
}

@article{14082,
  abstract     = {Epithelial barrier function is commonly analyzed using transepithelial electrical resistance, which measures ion flux across a monolayer, or by adding traceable macromolecules and monitoring their passage across the monolayer. Although these methods measure changes in global barrier function, they lack the sensitivity needed to detect local or transient barrier breaches, and they do not reveal the location of barrier leaks. Therefore, we previously developed a method that we named the zinc-based ultrasensitive microscopic barrier assay (ZnUMBA), which overcomes these limitations, allowing for detection of local tight junction leaks with high spatiotemporal resolution. Here, we present expanded applications for ZnUMBA. ZnUMBA can be used in Xenopus embryos to measure the dynamics of barrier restoration and actin accumulation following laser injury. ZnUMBA can also be effectively utilized in developing zebrafish embryos as well as cultured monolayers of Madin–Darby canine kidney (MDCK) II epithelial cells. ZnUMBA is a powerful and flexible method that, with minimal optimization, can be applied to multiple systems to measure dynamic changes in barrier function with spatiotemporal precision.},
  author       = {Higashi, Tomohito and Stephenson, Rachel E. and Schwayer, Cornelia and Huljev, Karla and Higashi, Atsuko Y. and Heisenberg, Carl-Philipp J and Chiba, Hideki and Miller, Ann L.},
  issn         = {1477-9137},
  journal      = {Journal of Cell Science},
  number       = {15},
  publisher    = {The Company of Biologists},
  title        = {{ZnUMBA - a live imaging method to detect local barrier breaches}},
  doi          = {10.1242/jcs.260668},
  volume       = {136},
  year         = {2023},
}

@article{14361,
  abstract     = {Whether one considers swarming insects, flocking birds, or bacterial colonies, collective motion arises from the coordination of individuals and entails the adjustment of their respective velocities. In particular, in close confinements, such as those encountered by dense cell populations during development or regeneration, collective migration can only arise coordinately. Yet, how individuals unify their velocities is often not understood. Focusing on a finite number of cells in circular confinements, we identify waves of polymerizing actin that function as a pacemaker governing the speed of individual cells. We show that the onset of collective motion coincides with the synchronization of the wave nucleation frequencies across the population. Employing a simpler and more readily accessible mechanical model system of active spheres, we identify the synchronization of the individuals’ internal oscillators as one of the essential requirements to reach the corresponding collective state. The mechanical ‘toy’ experiment illustrates that the global synchronous state is achieved by nearest neighbor coupling. We suggest by analogy that local coupling and the synchronization of actin waves are essential for the emergent, self-organized motion of cell collectives.},
  author       = {Riedl, Michael and Mayer, Isabelle D and Merrin, Jack and Sixt, Michael K and Hof, Björn},
  issn         = {2041-1723},
  journal      = {Nature Communications},
  publisher    = {Springer Nature},
  title        = {{Synchronization in collectively moving inanimate and living active matter}},
  doi          = {10.1038/s41467-023-41432-1},
  volume       = {14},
  year         = {2023},
}

@article{14363,
  abstract     = {Mitochondrial networks remodel their connectivity, content, and subcellular localization to support optimized energy production in conditions of increased environmental or cellular stress. Microglia rely on mitochondria to respond to these stressors, however our knowledge about mitochondrial networks and their adaptations in microglia in vivo is limited. Here, we generate a mouse model that selectively labels mitochondria in microglia. We identify that mitochondrial networks are more fragmented with increased content and perinuclear localization in vitro vs. in vivo. Mitochondrial networks adapt similarly in microglia closest to the injury site after optic nerve crush. Preventing microglial UCP2 increase after injury by selective knockout induces cellular stress. This results in mitochondrial hyperfusion in male microglia, a phenotype absent in females due to circulating estrogens. Our results establish the foundation for mitochondrial network analysis of microglia in vivo, emphasizing the importance of mitochondrial-based sex effects of microglia in other pathologies.},
  author       = {Maes, Margaret E and Colombo, Gloria and Schoot Uiterkamp, Florianne E and Sternberg, Felix and Venturino, Alessandro and Pohl, Elena E. and Siegert, Sandra},
  issn         = {2589-0042},
  journal      = {iScience},
  number       = {10},
  publisher    = {Elsevier},
  title        = {{Mitochondrial network adaptations of microglia reveal sex-specific stress response after injury and UCP2 knockout}},
  doi          = {10.1016/j.isci.2023.107780},
  volume       = {26},
  year         = {2023},
}

@phdthesis{14530,
  abstract     = {Most motions of many-body systems at any scale in nature with sufficient degrees of freedom tend to be chaotic; reaching from the orbital motion of planets, the air currents in our atmosphere, down to the water flowing through our pipelines or the movement of a population of bacteria. To the observer it is therefore intriguing when a moving collective exhibits order. Collective motion of flocks of birds, schools of fish or swarms of self-propelled particles or robots have been studied extensively over the past decades but the mechanisms involved in the transition from chaos to order remain unclear. Here, the interactions, that in most systems give rise to chaos, sustain order.  In this thesis we investigate mechanisms that preserve, destabilize or lead to the ordered state. We show that endothelial cells migrating in circular confinements transition to a collective rotating state and concomitantly synchronize the frequencies of nucleating actin waves within individual cells. Consequently, the frequency dependent cell migration speed uniformizes across the population. Complementary to the WAVE dependent nucleation of traveling actin waves, we show that in leukocytes the actin polymerization depending on WASp generates pushing forces locally at stationary patches. Next, in pipe flows, we study methods to disrupt the self--sustaining cycle of turbulence and therefore relaminarize the flow. While we find in pulsating flow conditions that turbulence emerges through a helical instability during the decelerating phase. Finally, we show quantitatively in brain slices of mice that wild-type control neurons can compensate the migratory deficits of a genetically modified neuronal sub--population in the developing cortex.  },
  author       = {Riedl, Michael},
  issn         = {2663-337X},
  keywords     = {Synchronization, Collective Movement, Active Matter, Cell Migration, Active Colloids},
  pages        = {260},
  publisher    = {Institute of Science and Technology Austria},
  title        = {{Synchronization in collectively moving active matter}},
  doi          = {10.15479/14530},
  year         = {2023},
}

@misc{14562,
  abstract     = {Regulation of the Arp2/3 complex is required for productive nucleation of branched actin networks. An emerging aspect of regulation is the incorporation of subunit isoforms into the Arp2/3 complex. Specifically, both ArpC5 subunit isoforms, ArpC5 and ArpC5L, have been reported to fine-tune nucleation activity and branch junction stability. We have combined reverse genetics and cellular structural biology to describe how ArpC5 and ArpC5L differentially affect cell migration. Both define the structural stability of ArpC1 in branch junctions and, in turn, by determining protrusion characteristics, affect protein dynamics and actin network ultrastructure. ArpC5 isoforms also affect the positioning of members of the Ena/Vasodilator-stimulated phosphoprotein (VASP) family of actin filament elongators, which mediate ArpC5 isoform–specific effects on the actin assembly level. Our results suggest that ArpC5 and Ena/VASP proteins are part of a signaling pathway enhancing cell migration.
},
  author       = {Schur, Florian KM},
  publisher    = {Institute of Science and Technology Austria},
  title        = {{Research data of the publication "ArpC5 isoforms regulate Arp2/3 complex-dependent protrusion through differential Ena/VASP positioning"}},
  doi          = {10.15479/AT:ISTA:14562},
  year         = {2023},
}

@article{13267,
  abstract     = {Three-dimensional (3D) reconstruction of living brain tissue down to an individual synapse level would create opportunities for decoding the dynamics and structure–function relationships of the brain’s complex and dense information processing network; however, this has been hindered by insufficient 3D resolution, inadequate signal-to-noise ratio and prohibitive light burden in optical imaging, whereas electron microscopy is inherently static. Here we solved these challenges by developing an integrated optical/machine-learning technology, LIONESS (live information-optimized nanoscopy enabling saturated segmentation). This leverages optical modifications to stimulated emission depletion microscopy in comprehensively, extracellularly labeled tissue and previous information on sample structure via machine learning to simultaneously achieve isotropic super-resolution, high signal-to-noise ratio and compatibility with living tissue. This allows dense deep-learning-based instance segmentation and 3D reconstruction at a synapse level, incorporating molecular, activity and morphodynamic information. LIONESS opens up avenues for studying the dynamic functional (nano-)architecture of living brain tissue.},
  author       = {Velicky, Philipp and Miguel Villalba, Eder and Michalska, Julia M and Lyudchik, Julia and Wei, Donglai and Lin, Zudi and Watson, Jake and Troidl, Jakob and Beyer, Johanna and Ben Simon, Yoav and Sommer, Christoph M and Jahr, Wiebke and Cenameri, Alban and Broichhagen, Johannes and Grant, Seth G.N. and Jonas, Peter M and Novarino, Gaia and Pfister, Hanspeter and Bickel, Bernd and Danzl, Johann G},
  issn         = {1548-7105},
  journal      = {Nature Methods},
  pages        = {1256--1265},
  publisher    = {Springer Nature},
  title        = {{Dense 4D nanoscale reconstruction of living brain tissue}},
  doi          = {10.1038/s41592-023-01936-6},
  volume       = {20},
  year         = {2023},
}

@article{13212,
  abstract     = {Auxin is the major plant hormone regulating growth and development (Friml, 2022). Forward genetic approaches in the model plant Arabidopsis thaliana have identified major components of auxin signalling and established the canonical mechanism mediating transcriptional and thus developmental reprogramming. In this textbook view, TRANSPORT INHIBITOR RESPONSE 1 (TIR1)/AUXIN-SIGNALING F-BOX (AFBs) are auxin receptors, which act as F-box subunits determining the substrate specificity of the Skp1-Cullin1-F box protein (SCF) type E3 ubiquitin ligase complex. Auxin acts as a “molecular glue” increasing the affinity between TIR1/AFBs and the Aux/IAA repressors. Subsequently, Aux/IAAs are ubiquitinated and degraded, thus releasing auxin transcription factors from their repression making them free to mediate transcription of auxin response genes (Yu et al., 2022). Nonetheless, accumulating evidence suggests existence of rapid, non-transcriptional responses downstream of TIR1/AFBs such as auxin-induced cytosolic calcium (Ca2+) transients, plasma membrane depolarization and apoplast alkalinisation, all converging on the process of root growth inhibition and root gravitropism (Li et al., 2022). Particularly, these rapid responses are mostly contributed by predominantly cytosolic AFB1, while the long-term growth responses are mediated by mainly nuclear TIR1 and AFB2-AFB5 (Li et al., 2021; Prigge et al., 2020; Serre et al., 2021). How AFB1 conducts auxin-triggered rapid responses and how it is different from TIR1 and AFB2-AFB5 remains elusive. Here, we compare the roles of TIR1 and AFB1 in transcriptional and rapid responses by modulating their subcellular localization in Arabidopsis and by testing their ability to mediate transcriptional responses when part of the minimal auxin circuit reconstituted in yeast.},
  author       = {Chen, Huihuang and Li, Lanxin and Zou, Minxia and Qi, Linlin and Friml, Jiří},
  issn         = {1674-2052},
  journal      = {Molecular Plant},
  number       = {7},
  pages        = {1117--1119},
  publisher    = {Elsevier},
  title        = {{Distinct functions of TIR1 and AFB1 receptors in auxin signalling.}},
  doi          = {10.1016/j.molp.2023.06.007},
  volume       = {16},
  year         = {2023},
}

