Changes In Architecture Research Articles

Phosphate promotes Arabidopsis root skewing and circumnutation through reorganisation of the microtubule cytoskeleton.

Phosphate (Pi) plays a key role in plant growth and development. Hence, plants display a range of adaptations to acquire it, including changes in root system architecture (RSA). Whether Pi triggers directional root growth is unknown. We investigated whether Arabidopsis roots sense Pi and grow towards it, that is whether they exhibit phosphotropism. While roots did exhibit a clear Pi-specific directional growth response, it was, however, always to the left, independent of the direction of the Pi gradient. We discovered that increasing concentrations of KH2PO4, trigger a dose-dependent skewing response, in both primary and lateral roots. This phenomenon is Pi-specific - other nutrients do not trigger this - and involves the reorganisation of the microtubule cytoskeleton in epidermal cells of the root elongation zone. Higher Pi levels promote left-handed cell file rotation that results in right-handed, clockwise, root growth and leftward skewing as a result of the helical movement of roots (circumnutation). Our results shed new light on the role of Pi in root growth, and may provide novel insights for crop breeding to optimise RSA and P-use efficiency.

Разработка архитектуры автономно управляемого роя роботов

Purpose: to create an innovative architecture for an autonomously controlled swadm of robots for effective exploration of smoke-filled rooms in designated areas. The problem of smoke-filled premises is relevant during emergencies such as fires and accidents, where a limited incident makes rescue operations difficult. The use of advanced technologies, including artificial intelligence and innovative methods, can improve the efficiency and safety of research in such settings. A promising direction for the development of this area is the use of artificial intelligence to improve the coordination and autonomy of robots, which will increase the accuracy and speed of task completion. Determine the type of robot and the required characteristics of the designed system include limited autonomous robots with highly sensitive sensors and sensors for cost-effective navigation, as well as self-directed coordination capabilities. Methods: comparison of existing methods for studying smokefilled rooms, as well as existing types. Comparison of the main types of sensors and sensors used for navigation in conditions of limited stability. Results: the type of robot was selected that is most suitable in terms of characteristics for the developed automated system, performing the functions of investigating smoke-filled rooms as efficiently as possible. The robot architecture has been developed. A diagram of the interaction of robot control tasks is presented. Practical importance: the architecture of the robot and the interaction scheme for robot control tasks have been developed. This software code for ensuring the safety and control of robots proposes a modular robot architecture, wide adaptation and flexible change of the system under different conditions, limited savings arising in rescue and search operations. The model being developed includes autonomous robots, methods for performing navigation, detecting obstacles, collecting data on the state of premises and ensuring interaction for coordinated research.

Exploring residents’ expectations and designers’ perspectives towards post-earthquake permanent housing: A case study in Antakya

Post-disaster permanent housing is the backbone of the recovery efforts after destructive events. It holds great potential to adopt new technological innovations and to provide improved conditions for these everyday spaces. However, previous investigations suggest that these housing projects lack consideration of the inhabitants' expectations, needs, and values due to environmental, cultural, and social factors, resulting in a dissatisfactory built environment. Following the Kahramanmaraş earthquake on February 6, 2023, this research aims to explore the expectations of affected residents in the historic district of Antakya. We expect to contribute to decision-makers, designers, and the technology industry to develop more user-centered housing recovery efforts in the aftermath of these devastating events. The findings revealed four implications from the expectations for post-earthquake homes: (1) designing for togetherness, (2) valuing community efforts and traditional work, (3) including productional activities, and lastly, (4) preserving and reminiscing heritage values. Additionally, we discussed these four implications with multi-disciplinary designers to expand the discussion space for designing post-earthquake permanent homes in Antakya. Overall, these implications suggest some future architectural changes in homes as their residents' expectations, including the creation of new heritage and production spaces using digital, physical, and mixed reality technologies, as well as the emergence of new social gathering spaces. By conducting a case study in Antakya, our research highlights the potential for the further development of post-disaster permanent homes that not only provide shelter and safety but also enhance the overall quality of life for the residents, both for Antakya and the other relevant cases worldwide.

Mosaic evolution of a learning and memory circuit in Heliconiini butterflies.

How do neural circuits accommodate changes that produce cognitive variation? We explore this question by analyzing the evolutionary dynamics of an insect learning and memory circuit centered within the mushroom body. Mushroom bodies are composed of a conserved wiring logic, mainly consisting of Kenyon cells, dopaminergic neurons, and mushroom body output neurons. Despite this conserved makeup, there is huge diversity in mushroom body size and shape across insects. However, empirical data on how evolution modifies the function and architecture of this circuit are largely lacking. To address this, we leverage the recent radiation of a Neotropical tribe of butterflies, the Heliconiini (Nymphalidae), which show extensive variation in mushroom body size over comparatively short phylogenetic timescales, linked to specific changes in foraging ecology, life history, and cognition. To understand how such an extensive increase in size is accommodated through changes in lobe circuit architecture, we combined immunostainings of structural markers, neurotransmitters, and neural injections to generate new, quantitative anatomies of the Nymphalid mushroom body lobe. Our comparative analyses across Heliconiini demonstrate that some Kenyon cell sub-populations expanded at higher rates than others in Heliconius and identify an additional increase in GABA-ergic feedback neurons, which are essential for non-elemental learning and sparse coding. Taken together, our results demonstrate mosaic evolution of functionally related neural systems and cell types and identify that evolutionary malleability in an architecturally conserved parallel circuit guides adaptation in cognitive ability.

Energy-efficient and Fault-Tolerant Routing Mechanism for WSN using Optimizer based Deep Learning Model

Fault tolerance is the network's capacity to continue operating normally in the event of sensor failure. Sensor nodes in wireless sensor networks (WSNs) may fail due to various reasons, such as energy depletion or environmental damage. Sensor battery drain is the leading cause of failure in WSNs, making energy-saving crucial to extending sensor lifespan. Fault-tolerant protocols use fault recovery methods to ensure network reliability and resilience. Many issues can affect a network, such as communication module breakdown, battery drain, or changes in network architecture. Our proposed FT-RR protocol is a WSN routing protocol that is both reliable and fault-tolerant; it attempts to prevent errors by anticipating them. FT-RR uses Bernoulli's rule to find trustworthy nodes and then uses those pathways to route data to the base station as efficiently as possible. When CHs have greater energy, they construct these pathways. Based on the simulation findings, our approach outperforms the other protocols concerning the rate of loss of packet, end-to-end latency, and network lifespan.

Macrostructural Brain Abnormalities in Spinal Muscular Atrophy: A Case-Control Study.

Most individuals with spinal muscular atrophy (SMA) on disease-modifying therapies continue to have chronic motor impairment. Insights into brain involvement in SMA may open new pathways for adjunctive therapies to optimize outcomes. We aimed to characterize macrostructural brain abnormalities detected by MRI in individuals with SMA compared with peer controls. We conducted a cross-sectional case-control study of children and adults with a confirmed genetic diagnosis of 5q SMA, and peer controls matched by age and sex. Brain MRIs acquired on a 3T MRI scanner through a standardized research protocol were reviewed to qualitatively assess the presence of macrostructural changes. The primary outcome was the presence of any structural brain anomaly on MRI. In addition, the total volume of each participant's lateral ventricles was quantified by volumetry using MRIcron. Genetic and clinical variables, including SMN2 copy number and motor function (Hammersmith Functional Motor Scale Expanded and Revised Upper Limb Module scores), were then correlated with neuroimaging findings. A total of 42 participants completed the study (mean age 17.4, range 7-40; 67% male). Of the 21 individuals with 5q SMA, 9 (43%) had macrostructural brain abnormalities identified on MRI compared with 2 of 21 (10%) peer controls (odds ratio 7.1, 95% confidence interval 1.4-34.0). In patients with SMA, the most common structural changes were widening of the arachnoid spaces (n = 4) and ventriculomegaly (n = 4). Individuals with SMA had larger median lateral ventricular volume than their normally developing peers (9.3 mL, interquartile range [IQR] 5.5-13.1 vs 5.3 mL, IQR 3.8-9.8; p = 0.034). Structural brain abnormalities were more frequent in those with 2 SMN2 copies (3/5, 60%) compared with 3 or 4 SMN2 copies (4/10, 40% and 2/6, 33% respectively), not reaching significance. We found no association between structural changes and motor function scores. Individuals with SMA have higher rates of macrostructural brain abnormalities than their neurotypical peers, suggesting CNS involvement in SMA. Understanding changes in the brain architecture of the SMA population can inform the development of adjunct therapies targeting the CNS and potentially guide rehabilitation strategies.

Augmentation-aware self-supervised learning with conditioned projector

Self-supervised learning (SSL) is a powerful technique for learning from unlabeled data. By learning to remain invariant to applied data augmentations, methods such as SimCLR and MoCo can reach quality on par with supervised approaches. However, this invariance may be detrimental for solving downstream tasks that depend on traits affected by augmentations used during pretraining, such as color. In this paper, we propose to foster sensitivity to such characteristics in the representation space by modifying the projector network, a common component of self-supervised architectures. Specifically, we supplement the projector with information about augmentations applied to images. For the projector to take advantage of this auxiliary conditioning when solving the SSL task, the feature extractor learns to preserve the augmentation information in its representations. Our approach, coined Conditional Augmentation-aware Self-supervised Learning (CASSLE), is directly applicable to typical joint-embedding SSL methods regardless of their objective functions. Moreover, it does not require major changes in the network architecture or prior knowledge of downstream tasks. In addition to an analysis of sensitivity towards different data augmentations, we conduct a series of experiments, which show that CASSLE improves over various SSL methods, reaching state-of-the-art performance in multiple downstream tasks.11A short version of this paper appeared at the NeurIPS 2023 Workshop: Self-Supervised Learning - Theory and Practice (https://sslneurips23.github.io).

Influence of muscle packing on the three-dimensional architecture of rabbit M. plantaris

In their physiological condition, muscles are surrounded by connective tissue, other muscles and bone. These tissues exert transverse forces that change the three-dimensional shape of the muscle compared to its isolated condition, in which all surrounding tissues are removed. A change in shape affects the architecture of a muscle and therefore its mechanical properties. The rabbit M. plantaris is a multi-pennate calf muscle consisting of two compartments. A smaller, bi-pennate inner muscle compartment is embedded in a larger, uni-pennate outer compartment (Böl et al., 2015). As part of the calf, the plantaris is tightly packed between other muscles. It is unclear how packing affects the shape and architecture of the plantaris. Therefore, we examined the isolated and packed plantaris of the contralateral legs of three rabbits to determine the influence of the surrounding muscles on its shape and architectural properties using photogrammetric reconstruction and manual digitization, respectively. In the packed condition, the plantaris showed a 27% increase in fascicle pennation and a 54% increase in fascicle curvature compared to the isolated condition. Fascicle length was not affected by muscle packing. The change in muscle architecture occurred mainly in the outer compartment of the plantaris. Furthermore, the isolated plantaris showed a more circular shape and a reduced width of its muscle belly. It can be concluded that the packed plantaris is flattened by the forces exerted by the surrounding muscles, causing a complex architectural change. The data provided improve our understanding of muscle packages in general and can be used to develop and validate realistic three-dimensional muscle models.

Phosphorus uptake 1 (Pup1) QTL performs major regulatory functions under phosphorus starvation/deficiency stress in rice (Oryza sativa L.)

Phosphorus (P) is an essential macronutrient required for respiration, photosynthesis/carbohydrate metabolism, redox homeostasis, signaling, and synthesis/function of nucleic acids, cellular membranes, enzymes, etc. To cope with P-deficiency, plants reprogram gene expression for necessary alterations in metabolic/signaling pathways. To attain P homeostasis, plants readjust metabolism through transcriptional, post-transcriptional, and/or post-translational machinery involving biochemical, physiological, genomic, epigenomic, proteomic, and metabolomic functions. However, the underlying molecular mechanisms/pathways/genes for P-deficiency tolerance in crop plants remain elusive. To decipher the mechanisms/pathways adopted by rice under P-starvation/deficiency stress, a pair of contrasting rice [Pusa-44 (high-yielding, P-deficiency sensitive) and its near-isogenic line (NIL)-23, P-deficiency tolerant) for Pup1 QTL] genotype was used for comparative analyses. Omics analyses of shoot and root tissues from 45-day-old plants grown hydroponically in P-sufficient (16 ppm Pi), P-deficient (4 ppm Pi) or P-starved (0 ppm Pi) medium revealed important roles of P transporters, transcription factors (TFs), Transposable elements (TEs), auxin-responsive proteins, cell wall modulation, fatty acid metabolism, and chromatin architecture/epigenetic modifications in making NIL-23 tolerant to stress. The proteins involved in photosynthesis, sucrose-/starch-/energy-metabolism, transcription factors, and phytohormone signaling were observed to be differentially expressed in NIL-23. Since only a few coding genes are located on the QTL, modulations in morpho-physio-biochemical and molecular parameters under P-starvation/deficiency stress were attributed to the regulatory functions of Pup1 through TFs, TEs, epigenetic/chromatin architectural changes, etc. introgressed in Pusa-44 genetic background. Thus, the study provides new insights into molecular/regulatory functions of Pup1 under P-starvation/deficiency stress in rice, which might be useful to improve P-use efficiency in rice for better productivity in P-deficient soils.

The Cerebrovascular Side of Plasticity: Microvascular Architecture across Health and Neurodegenerative and Vascular Diseases.

The delivery of nutrients to the brain is provided by a 600 km network of capillaries and microvessels. Indeed, the brain is highly energy demanding and, among a total amount of 100 billion neurons, each neuron is located just 10-20 μm from a capillary. This vascular network also forms part of the blood-brain barrier (BBB), which maintains the brain's stable environment by regulating chemical balance, immune cell transport, and blocking toxins. Typically, brain microvascular endothelial cells (BMECs) have low turnover, indicating a stable cerebrovascular structure. However, this structure can adapt significantly due to development, aging, injury, or disease. Temporary neural activity changes are managed by the expansion or contraction of arterioles and capillaries. Hypoxia leads to significant remodeling of the cerebrovascular architecture and pathological changes have been documented in aging and in vascular and neurodegenerative conditions. These changes often involve BMEC proliferation and the remodeling of capillary segments, often linked with local neuronal changes and cognitive function. Cerebrovascular plasticity, especially in arterioles, capillaries, and venules, varies over different time scales in development, health, aging, and diseases. Rapid changes in cerebral blood flow (CBF) occur within seconds due to increased neural activity. Prolonged changes in vascular structure, influenced by consistent environmental factors, take weeks. Development and aging bring changes over months to years, with aging-associated plasticity often improved by exercise. Injuries cause rapid damage but can be repaired over weeks to months, while neurodegenerative diseases cause slow, varied changes over months to years. In addition, if animal models may provide useful and dynamic in vivo information about vascular plasticity, humans are more complex to investigate and the hypothesis of glymphatic system together with Magnetic Resonance Imaging (MRI) techniques could provide useful clues in the future.

Information on standardisation and standards as new indicators to forecast technological and industrial changes

ABSTRACT Product architecture changes fundamentally through the recombination of existing component technologies, as radical innovation accelerates. We analysed these structural changes in the case of the display industry. We shed light on standards information that could be new indicator to predict technological and industrial innovation. We addressed two issues. First, whether standardisation information is a leading indicator to detect and forecast technological and industrial changes. Second, whether standard information shows technological information flow signalling new technological fields. As methodology, we conducted case studies and empirical analysis using the information on standardisation and standards from the ‘activity process’ and ‘activity result’ viewpoint, respectively. As results, case studies showed a changing role from responsive to anticipatory standards by verifying that recent standardisation activities preceded the time of new product releases in world/Asian markets. We also found out that reconfiguration in the value chain that standardisation in component technologies has contributed to function technological fields. Network analysis using bibliographic information of standards revealed linkage patterns of technological knowledge flows with supporting the case studies. We propose the necessity of active participation in the standardisation process from industrial viewpoint with monitoring the industrial and technological trends. From policy viewpoint, we suggest construction and management of standards-related information system.

Autism is associated with in vivo changes in gray matter neurite architecture.

Postmortem investigations in autism have identified anomalies in neural cytoarchitecture across limbic, cerebellar, and neocortical networks. These anomalies include narrow cell mini-columns and variable neuron density. However, difficulty obtaining sufficient post-mortem samples has often prevented investigations from converging on reproducible measures. Recent advances in processing magnetic resonance diffusion weighted images (DWI) make in vivo characterization of neuronal cytoarchitecture a potential alternative to post-mortem studies. Using extensive DWI data from the Adolescent Brain Cognitive Developmentsm (ABCD®) study 142 individuals with an autism diagnosis were compared with 8971 controls using a restriction spectrum imaging (RSI) framework that characterized total neurite density (TND), its component restricted normalized directional diffusion (RND), and restricted normalized isotropic diffusion (RNI). A significant decrease in TND was observed in autism in the right cerebellar cortex (β = -0.005, SE =0.0015, p = 0.0267), with significant decreases in RNI and significant increases in RND found diffusely throughout posterior and anterior aspects of the brain, respectively. Furthermore, these regions remained significant in post-hoc analysis when the autism sample was compared against a subset of 1404 individuals with other psychiatric conditions (pulled from the original 8971). These findings highlight the importance of characterizing neuron cytoarchitecture in autism and the significance of their incorporation as physiological covariates in future studies.

40 Ar/ 39 Ar chronostratigraphy and geochemistry of Harrats Ishara and Kura in the Hamd–Jizl Basin, Madinah, Saudi Arabia

An extensive system of mafic dykes, volcanic centers, and provincial flood basalts (harrat) have erupted within the Arabian flank of the Red Sea rift since the early Oligocene. The age, spatial distribution, and composition of these features correlates with distinct changes in rift flank structural architecture as the margin progressed through successive deformational phases. A widespread pre-rift dyke swarm in the proto-Red Sea region c. 25 Ma created thermomechanical crustal conditions favourable for diffuse continental rifting and inboard extensional strain markers like the Hamd–Jizl Basin (HJB) originated amagmatically c. 23 Ma. Six million years later, basalt flows from Harrats Ishara and Kura entered the HJB at several points along strike during a 4.5 million year-long eruptive phase. Two distinct volcanic units developed in Harrat Ishara: a predominantly alkali-olivine basalt with an age range of 18.0–14.3 Ma (Ishara A) and a mostly olivine transitional basalt with an age range of 16.6–12.1 Ma (Ishara B). The contemporaneous eruption of these units indicates that multiple magma sources operated simultaneously during the middle Miocene. Both units generally decrease in alkalinity and rare earth element abundances up section, signaling either ongoing melt fractionation processes or output from different magma chambers with time.

PeFUS3 Drives Lateral Root Growth Via Auxin and ABA Signalling Under Drought Stress in Populus.

Changes in root system architecture are vital for plant adaptation to drought stress, yet the underlying molecular mechanisms of this process remain largely elusive. Here, FUSCA3 (FUS3), a B3 domain transcription factor isolated from Populus euphratica, was found to be an important gene of regulating lateral root (LR) development under drought stress. The expression of PeFUS3 was strongly induced by ABA and dehydration treatments. Overexpressing PeFUS3 in poplar 84 K (P. alba × P. glandulosa) positively regulated LR growth and enhanced drought tolerance, while the knockout lines, generated by the CRISPR/Cas9 system, displayed repressed LR growth and weakened drought tolerance. Further investigation demonstrated that PeFUS3 activated the expression of PIN2, PIN6a and AUX1, which were key genes involved in auxin transport, suggesting PeFUS3 modulated LR development under drought stress through auxin signalling. Moreover, PeFUS3 directly upregulated PePYL3 expression, and overexpressing PePYL3 poplar lines exhibited significantly increased drought resistance. In addition, PeABF2, an ABA responsive transcription factor, interacted with PeFUS3 and activated its transcription, indicating PeFUS3 was involved in ABA signalling pathway. Taken together, PeFUS3 is a key regulator, maintaining root growth of poplar by modulating the crosstalk of auxin and ABA signalling under drought stress.

Auxin-Mediated Lateral Root Development in Root Galls of Cucumber under Meloidogyne incognita Stress.

Root-knot nematodes induce the formation of feeding sites within the host roots and the relocation of auxin into galls results in abnormal lateral root growth. Here, we analyzed the changes in cucumber root architecture under Meloidogyne incognita stress and the distribution of auxin in these morphological and molecular root changes. The number of root tips significantly decreased, and regression analysis showed a positive relationship between the size of root galls and the numbers of nematodes in galls compared with the lateral roots on galls, emphasizing the effect of nematode parasitism on root development. Data generated via a promoter-reporter system using the transgenic hairy root system first characterized the auxin distribution during nematode parasitism in cucumber. Using DR5:GUS staining of root galls, we further detected the expression of CsPIN1 and CsAUX1, which regulate polar auxin transport. The results showed that both CsPIN1 and CsAUX1 were induced in galls, and the relative expression of the two genes significantly increased at 21 DAI. The TIBA treatment, which can disrupt polar auxin transport inhibited the numbers of cucumber root tips and total length following increasing concentration gradients. Moreover, the numbers of galls were significantly affected by TIBA treatment, which showed the vital role of auxin during nematode parasitism. Our findings suggest that the transportation of auxin plays an important role during gall formation and induces cucumber lateral root development within nematode feeding sites.

Mucosal epithelial homeostasis: Reference intervals for skin, gill lamellae and filament for Atlantic salmon and other fish species.

Mucosal barriers are gatekeepers of health and exhibit homeostatic variation in relation to habitat and disease. Mucosal Mapping technology provides an in-depth examination of the dynamic mucous cells (MCs) in fish mucosal barriers on tangential sections, about 90° from the view of traditional histology. The method was originally developed and standardized in academia prior to the establishment of QuantiDoc AS to apply mucosal mapping, now trademarked as Veribarr™ for the analysis of skin, gills and gastrointestinal tracts. Veribarr™ uses design-based stereology for the selection and measurement of cell area (size) (μm2), the volumetric density of MCs in the epithelium (MCD, amount of the epithelia occupied by MCs, in %) and the calculated abundance of the MCs (barrier status or defence activity). MC production was mapped across the skin and gill epithelia in 12 species, discovering that gills consistently have two distinct groups of MCs, one on the lamellae where MCs are few and small and one on the filament where MCs are larger and more abundant. MCs were usually much larger in the skin than in the gills, with the latter requiring fewer and smaller cells for adequate respiration. The difference observed between MCs in gill lamella and gill filament is likely a result of functional demands. In addition, our findings also highlight a variation in the mucosal parameters between the species skin, which cannot be explained by the weight differences, and a potential link between MC distribution and species-specific lifestyles in the gill lamella. This diversity necessitates the development of species and tissue site-specific reference intervals for mucosal health evaluation. Mucosal bivariate reference intervals were developed for MC production, including size (trophy) and calculated defence activity (plasia) in the skin and gills of Atlantic salmon, to contrast new measurements against historical data patterns. The application of mucosal reference intervals demonstrates that stress from parasites and treatments can manifest as changes in mucosal architecture, as evidenced by MC hypertrophy and hyperplasia within the gill lamellae. These reference intervals also facilitate comparisons with wild Atlantic salmon, revealing a somewhat higher MC level in farmed salmon gill lamellae. These findings suggest that MC hyperplasia and hypertrophy in the gills are stress/environmental responses in aquaculture. They also advocate for developing specific mucosal bivariate homeostatic reference intervals in aquaculture to improve fish health and welfare across all farmed species.

Visualizing nuclear pore complex plasticity with Pan-Expansion Microscopy.

Cell-type specific and environmentally-responsive plasticity in nuclear pore complex (NPC) composition and structure is an emerging area of investigation, but its molecular underpinnings remain ill defined. To understand the cause and consequence of NPC plasticity requires technologies to visualize differences within individual NPCs across the thousands in a given nucleus. We evaluate the utility of Pan Expansion Microscopy (Pan-ExM), which enables 16-20 fold isotropic cell enlargement while preserving the proteome, to reveal NPC plasticity. NPCs are robustly identified by deep learning-facilitated segmentation as tripartite structures corresponding to the nucleoplasmic ring, inner ring with central transport channel, and cytoplasmic ring, as confirmed by immunostaining. We demonstrate a range of NPC diameters with a bias for dilated NPCs at the basal nuclear surface, often in local clusters. These diameter biases are eliminated by disrupting linker of nucleoskeleton and cytoskeleton (LINC) complex-dependent connections between the nuclear envelope (NE) and the cytoskeleton, supporting that they reflect local variations in NE tension. Pan-ExM further reveals that the transmembrane nucleoporin/nup POM121 resides specifically at the nuclear ring in multiple model cell lines, surprising given the expectation that it would be a component of the inner ring like other transmembrane nups. Remarkably, however, POM121 shifts from the nuclear ring to the inner ring specifically in aged induced pluripotent stem cell derived neurons (iPSNs) from a patient with C9orf72 amyotrophic lateral sclerosis (ALS). Thus, Pan-ExM allows the visualization of changes in NPC architecture that may underlie early steps in an ALS pathomechanism. Taken together, Pan-ExM is a powerful and accessible tool to visualize NPC plasticity in physiological and pathological contexts at single NPC resolution.

The emerging role of SARS-CoV-2 nonstructural protein 1 (nsp1) in epigenetic regulation of host gene expression.

Infection with the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causes widespread changes in epigenetic modifications and chromatin architecture in the host cell. Recent evidence suggests that SARS-CoV-2 nonstructural protein 1 (nsp1) plays an important role in driving these changes. Previously thought to be primarily involved in host translation shutoff and cellular mRNA degradation, nsp1 has now been shown to be a truly multifunctional protein that affects host gene expression at multiple levels. The functions of nsp1 are surprisingly diverse and include not only the downregulation of cellular mRNA translation and stability, but also the inhibition of mRNA export from the nucleus, the suppression of host immune signaling, and, most recently, the epigenetic regulation of host gene expression. In this review, we first summarize the current knowledge on SARS-CoV-2-induced changes in epigenetic modifications and chromatin structure. We then focus on the role of nsp1 in epigenetic reprogramming, with a particular emphasis on the silencing of immune-related genes. Finally, we discuss potential molecular mechanisms underlying the epigenetic functions of nsp1 based on evidence from SARS-CoV-2 interactome studies.

YAP/TAZ signaling in allantois-derived cells is required for placental vascularization.

Normal placental development and angiogenesis are crucial for fetal growth and maternal health during pregnancy. However, molecular regulation of placental angiogenesis has been difficult to study due to a lack of specific genetic tools that isolate the placenta from the embryo and yolk sac. To address this gap in knowledge we recently developed Hoxa13 Cre mice in which Cre is expressed in allantois-derived cells, including placental endothelial and stromal cells. Mice lacking the transcriptional regulators Yes-associated protein (YAP) and PDZ-binding motif (TAZ) in allantois-derived cells exhibit embryonic lethality at midgestation with compromised placental vasculature. snRNA-seq analysis revealed transcriptional changes in placental stromal cells and endothelial cells. YAP/TAZ mutants exhibited significantly reduced placental stromal cells prior to the endothelial architectural change, highlighting the role of these cells in placental vascular growth. These results reveal a central role for YAP/TAZ signaling during placental vascular growth and implicate Hoxa13 -derived placental stromal cells as a critical component of placental vascularization.

Changes in Phenotypic and Molecular Features of Naïve and Central Memory T Helper Cell Subsets following SARS-CoV-2 Vaccination.

Molecular changes in lymphocytes following SARS-CoV-2 vaccination are incompletely understood. We hypothesized that studying the molecular (transcriptomic, epigenetic, and T cell receptor (TCR) repertoire) changes in CD4+ T cells following SARS-CoV-2 vaccination could inform protective mechanisms and refinement of future vaccines. We tested this hypothesis by reporting alterations in CD4+ T cell subsets and molecular features of CD4+ naïve and CD4+ central memory (CM) subsets between the unvaccinated and vaccinated groups. Compared with the unvaccinated, the vaccinated had higher HLA-DR expression in CD4+ T subsets, a greater number of differentially expressed genes (DEGs) that overlapped with key differentially accessible regions (DARs) along the chromatin linked to inflammasome activation, translation, regulation (of apoptosis, inflammation), and significant changes in clonal architecture beyond SARS-CoV-2 specificity. Several of these differences were more pronounced in the CD4+CM subset. Taken together, our observations imply that the COVID-19 vaccine exerts its protective effects via modulation of acute inflammation to SARS-CoV-2 challenge.