Precise Pattern Research Articles

Disentangling the response of species diversity, forest structure, and environmental drivers to aboveground biomass in the tropical forests of Western Ghats, India

Tropical forests are crucial to the global carbon cycle, but a significant knowledge gap in the precise distribution patterns of forest aboveground biomass (AGB) hinders our ability to formulate effective conservation efforts. A key unresolved issue is the lack of understanding of how forest AGB interacts with biotic and abiotic factors on large spatial scale. To address this, we used Structural Equation Modeling to disentangle the direct and indirect effects of environmental, anthropogenic, structural diversity species diversity and edaphic factors on AGB of trees, lianas and regenerating communities using the data from 96 1-ha plots in the central Western Ghats biodiversity hotspot, India. We hypothesized that the effect of structural attributes overrides AGB distribution, with relative contributions varying among plant communities. The landscape-level mean AGB was 245.12 ± 19.74 Mg ha−1, with SEM explaining 68–85 % of variations across the three vegetation communities. Structural diversity emerged as the primary mediator of the positive effects of taxonomic diversity on AGB in the regeneration community, whereas canopy cover and stem density linked diversity to AGB in adult tree and liana communities. Further, AGB showed a positive association with soil organic carbon in adult tree and regeneration communities, underscoring the significance of belowground resource availability on AGB. The results indicate that structural features were consistently the strongest AGB predictors at all levels of data aggregation, indicating the predominant role of niche complementarity and efficient space utilization in driving AGB, albeit differently across the plant communities. Our study emphasizes the importance of maintaining high structural features and managing taxonomic diversity while promoting soil fertility and minimizing disturbances to support AGB in tropical forests. We recommend testing the effects of predictor variables on biomass of vegetation communities independently to better understand the ecological principles of forest functioning.

The facilitated osteogenic differentiation by extracellular proline treatment in in vitro cell cultivation using MC3T3E1 and hPDLF.

Proline is a major substrate in collagen biosynthesis and is required for collagen molecule formations. However, detailed explanations of the molecular basis through which proline functions in collagen biosynthesis have yet to be provided. Thus, genome-wide screening was employed to elucidate these in the pre-osteoblastic MC3T3-E1 and human periodontal ligament fibroblast (hPDLF) cell lines. Indeed, both cell lines represent important sources for collagen biosynthesis and tissue regeneration in the dental region, specifically treating extracellular proline during cultivations. The altered gene expression patterns were identified, and the precise expression patterns were confirmed by microarray. Cell viability and osteogenic differentiation patterns were examined using a range of experimental methods, such as the MTS assay, ALP staining, ARS staining, and collagen (COL)-type1A ELISA. Overall, we revealed a cell line-specific function of exogenous proline in collagen biosynthesis during osteogenic differentiation conditions with the candidate signaling pathways. These putative signaling networks could represent plausible answers to understanding collagen biosynthesis for regenerating connective tissues such as skin, muscle, and bone.

Laser-Assisted Micropatterned 3D Printed Scaffolds with Customizable Surface Topography and Porosity for Modulation of Cell Function.

The dynamic interaction between cells and their substrate is a cornerstone of biomaterial-based tissue regeneration focused on unraveling the complex factors that govern this crucial relationship. A key challenge is translating physical cues from 2D to 3D due to limitations in current biofabrication techniques. In response, this study introduces an innovative approach that combines additive and subtractive manufacturing for precise surface patterning of 3D printed scaffolds. Using poly(𝜀-caprolactone) as the scaffold material, polymeric fibers are 3D printed and subsequently laser-engraved with femtosecond laser to precisely create controlled microtopographies, including microgrooves (10 and 80µm in width) and micropits (25µm in diameter). Testing shows that the process does not compromise the mechanical properties of the fibers, which is critical for structural applications in tissue engineering. Human mesenchymal stem cells are used to investigate the effects of these topographical features on cell behavior. The 10 µm wide microgrooves notably enhance cell attachment, with cells aligning in elongated forms along the grooves, while micropits and unpatterned surfaces promote polygonal cell shapes. This combined approach demonstrates that precisely engineered microtopographies on 3D printed scaffolds can better mimic the natural extracellular matrix, improving cellular responses and offering a promising strategy for advancing tissue regeneration.

Mechano-gradients drive morphogen-noise correction to ensure robust patterning.

Morphogen gradients instruct cells to pattern tissues. Although the mechanisms by which morphogens transduce chemical signals have been extensively studied, the roles and regulation of the physical communication between morphogen-receiver cells remain unclear. Here, we show that the Wnt/β-catenin-morphogen gradient, which patterns the embryonic anterior-posterior (AP) axis, generates intercellular tension gradients along the AP axis by controlling membrane cadherin levels in zebrafish embryos. This "mechano-gradient" is used for the cell competition-driven correction of noisy morphogen gradients. Naturally and artificially generated unfit cells, producing noisy Wnt/β-catenin gradients, induce local deformation of the mechano-gradients that activate mechanosensitive calcium channels in the neighboring fit cells, which then secrete annexin A1a to kill unfit cells. Thus, chemo-mechanical interconversion-mediated competitive communication between the morphogen-receiver cells ensures precise tissue patterning.

Adaptive Opto-Thermal-Hydrodynamic Manipulation and Polymerization (AOTHMAP) for 4D Colloidal Patterning.

Precision colloidal patterning holds great promise in constructing customizable micro/nanostructures and functional frameworks, which showcases significant application values across various fields, from intelligent manufacturing to optoelectronic integration and biofabrication. Here, a direct 4D patterning method via adaptive opto-thermal-hydrodynamic manipulation and polymerization (AOTHMAP) with single-particle resolution is reported. This approach utilizes a single laser beam to automatically transport, position, and immobilize colloidal particles through the adaptive utilization of light-induced hydrodynamic force, optical force, and photothermal polymerization. The AOTHMAP enables precise 1D, 2D, and 3D patterning of colloidal particles of varying sizes and materials, facilitating the construction of customizable microstructures with complex shapes. Furthermore, by harnessing the pH-responsive properties of hydrogel adhesives, the AOTHMAP further enables 4D patterning by dynamic alteration of patterned structures through shrinkage, restructuring, and cloaking. Notably, the AOTHMAP also enables biological patterning of functional bio-structures such as bio-micromotors. The AOTHMAP offers a simple and efficient strategy for colloidal patterning with high versatility and flexibility, which holds great promises for the construction of functional colloidal microstructures in intelligent manufacturing, as well as optoelectronic integration and biofabrication.

Abstract A029: Novel high-purity CTC isolation technology for downstream analysis: A “Cell- Circuit” magnetophoretic-microfluidic hybrid device

Abstract Circulating Tumor Cells are the only blood analytes that contain comprehensive multi-omic information regarding living tumor cells. As such, CTCs are an essential tool for the precise diagnosis of cancer. This has led to increased interest in both enumeration, and more significantly, the downstream analysis of bulk and single CTCs. One primary technical limitation that limits adoption of CTCs into routine clinical practice is the ability to effectively isolate CTCs from non-target cells. While several technologies have been developed and commercialized including initial clinical adoption, most technologies have fundamental limitations in sample purity which limits the quality of downstream analysis. Another limitation is the number of steps needed to complete enrichment, especially in high purity isolation where 2 techniques are usually required to be performed in sequence. The authors propose a novel, single-cell isolation technology called L:Cell™. This technology utilizes precise micro-magnetic patterns to allow immuno-magnetically labeled cells to be isolated individually and directed to user-defined locations. Such “Cell-Circuits” enable parallel, computer-circuit-like manipulation of a large array of single cells – combining both precision and throughput. Passive and active single-cell control is made possible by circuit components such as gates, single-cell capacitors, and transistors. The technology also enables the classification of cells based on size in addition to the presence of magnetic beads. A "passive component" performs its function under an external rotating magnetic field, manipulating cells without the need for an electrical current. The majority of circuitry on-chip are such passive components, which enable the device's key advantage of parallelized control. In contrast, an "active component" is designed in conjunction with passive components to create a local magnetic field at specific locations. This allows cells to be rerouted or manipulated on-demand. Using active components, users can selectively isolate individual cells (e.g., based on size, morphology, or fluorescence). While micro-magnetophoretic technology has been explored by various research teams, the authors have advanced this technology further by micro-magnetic simulation and integrating microfluidic technology. This integration improves the inlet and outlet structures for cell samples and the alignment of particles’ flow, thereby maximizing the commercialization potential of this sophisticated technology. In lab-scale modeling, the authors demonstrated a high separation purity level of 92%. By allowing manipulation at single-cell level using magnetic fields only, the technology minimizes any stress on the cells during isolation processes. The authors developed a user- friendly interface utilizing microfluidic channels for the extraction of CTCs from whole blood using this hybrid device. Additionally, the authors are conducting further adaptation studies to apply this technology to various downstream techniques, such as genomic analysis and protein profiling. Citation Format: Chanhee Lee, Hun Heo, Youngwoo Park, Donghee Ko. Novel high-purity CTC isolation technology for downstream analysis: A “Cell- Circuit” magnetophoretic-microfluidic hybrid device [abstract]. In: Proceedings of the AACR Special Conference: Liquid Biopsy: From Discovery to Clinical Implementation; 2024 Nov 13-16; San Diego, CA. Philadelphia (PA): AACR; Clin Cancer Res 2024;30(21_Suppl):Abstract nr A029.

ASSESSMENT OF ANTIBIOTIC STEWARDSHIP IN TERTIARY HEALTH CARE TEACHING MEDICAL INSTITUTION IN CENTRAL INDIA

Objective: The objective of the study was to mitigate the impact of antimicrobial resistance and ensure continued access to effective treatments for bacterial infections. This study was undertaken to explore the hospital status of antibiotic prescription and evaluate the impact of antibiotic stewardship in clinical wards of tertiary health care settings. Methods: This is hospital-based observational prospective study carried out in a tertiary health care settings. All patients of either sex of any age who came in outpatient department and admitted in inpatient department of medicine, orthopedics, surgery, and pediatric departments and prescribed antibiotics were selected randomly in the study. Results: Study response rate was male predominance (57%). Empiric antimicrobials were mainly prescribed orally (47.3%), significantly higher than injectable route (22.8%) (p<0.001), while the majority were not given an empiric antibiotic by a clinical expert. A significantly high number of patients were prescribed injectable 1st Antimicrobial after surgery/culture, namely, injectable piperacillin+tazobactum (35.5%), followed by injectable cephalosporin (34.0%), amikacin injection/4.5%, and injection carbapenem/1.8% (p<0.001). Its frequency is significantly high with BD dose (66.8%) and the majority prescribed for period of 6–10 days (63.5%) followed by 1–6 days (19.5%) (p<0.001). Conclusion: As all prescriptions got optimal dose and duration of therapy, the stay of patients in the hospital was following Indian Council of Medical Research (2019) guideline therefore, it can thus be said that the results of this study revealed precise prescribing pattern of antibiotics. However, emphasis on information technology staff and patient education is vital in incorporating stewardship protocols. Emphasizing the importance of conducting antibiotic time-outs within 48–72 h is crucial for reassessing the necessity and choice of antibiotics. Such stewardship studies are instrumental in monitoring patterns of antibiotic usage and aid in future policy-making steps.

Efficiency of cannabis and cannabidiol in managing chronic pain syndromes: A comprehensive narrative review.

Chronic pain affects up to 40% of adults, contributing to high medical expenses, the loss of productivity, reduced quality of life (QoL), and disability. Chronic pain requires detailed diagnostic assessment, treatment and rehabilitation, yet approx. 80% of patients report inadequate pain management. As new treatment options are needed, we aimed to explore the effectiveness of medical cannabis-based products in managing chronic pain, with a particular focus on treatment patterns.We searched the PubMed, Scopus and Web of Science databases using keywords related to cannabinoids and chronic pain syndromes. In total, 3,954 articles were identified, and 74 studies involving 12,562 patients were included. The effectiveness of cannabis-based products varied across studies. Cannabinoids were most effective in treating chronic secondary headache and orofacial pain, chronic secondary musculoskeletal pain, chronic secondary visceral pain, and chronic neuropathic pain. Properly qualifying patients is the first crucial step in managing chronic pain, considering pain characteristics, comorbidities and other treatment options. Treatment should start with low doses of cannabinoids, which are then increased to achieve the desired therapeutic effect while minimizing adverse effects.This narrative review revealed significant gaps in the evidence regarding precise treatment patterns, particularly for the long-term maintenance treatment needed by patients with chronic pain. Medical cannabis can be considered an option for carefully selected patients with chronic pain syndromes when other treatment options fail to achieve an adequate response, and when the potential benefits outweigh the risks. However, there is still a need for well-designed clinical research to establish the long-term efficacy and safety of cannabinoids.

Active learning based on multi-enhanced views for classification of multiple patterns in lung ultrasound images

There are several main patterns in lung ultrasound (LUS) images, including A-lines, B-lines, consolidation and pleural effusion. LUS images of healthy lungs typically only exhibit A-lines, while other patterns may emerge or coexist in LUS images associated with different lung diseases. The accurate categorization of these primary patterns is pivotal for effective lung disease screening. However, two challenges complicate the classification task: the first is the inherent blurring of feature differences between main patterns due to ultrasound imaging properties; and the second is the potential coexistence of multiple patterns in a single case, with only the most dominant pattern being clinically annotated. To address these challenges, we propose the active learning based on multi-enhanced views (MEVAL) method to achieve more precise pattern classification in LUS. To accentuate feature differences between multiple patterns, we introduce a feature enhancement module by applying vertical linear fitting and k-means clustering. The multi-enhanced views are then employed in parallel with the original images, thus enhancing MEVAL’s awareness of feature differences between multiple patterns. To tackle the patterns coexistence issue, we propose an active learning strategy based on confidence sets and misclassified sets. This strategy enables the network to simultaneously recognize multiple patterns by selectively labeling of a small number of images. Our dataset comprises 5075 LUS images, with approximately 4% exhibiting multiple patterns. Experimental results showcase the effectiveness of the proposed method in the classification task, with accuracy of 98.72%, AUC of 0.9989, sensitivity of 98.76%, and specificity of 98.16%, which outperforms than the state-of-the-art deep learning-based methods. A series of comprehensive ablation studies suggest the effectiveness of each proposed component and show great potential in clinical application.

Firing patterns transitions and resonance effects of the extended Hindmarsh-Rose neural model with Gaussian noise and transcranial magneto-acousto-electrical stimulation

Considering the fact that the typical three-variable Hindmarsh-Rose(HR) neural model has limitations in describing the complex non-linear features and precise behavior patterns of neuron, the influences of transcranial magneto-acousto-electrical stimulation(TMAES) on firing patterns and resonance effects are analyzed based on an extended HR neural model in this paper. Obtained results show that TMAES can induce transitions in the firing patterns of extended HR neuron, such as spiking and multi-periodic bursting state, etc If appropriate parameters are selected, the multimodal discharge modes can also be observed. Coefficient of variation is calculated to further investigate the effect of TMAES and Gaussian white noise on the firing rhythm of extended HR neuron, and relevant results indicate that TMAES can induce coherent resonance phenomena in HR neuronal systems similar to the effects of Gaussian white noise, which reveals a new mechanism of coherent resonance induced by TMAES. Further more, TMAES can also regulate coefficient of variation to exhibit anti-coherent resonance and multiple anti-coherent resonance structures, exhibiting richer regulatory functions than Gaussian white noise in regulating neuronal firing rhythm. This study seeks to enhance the understanding of the processes that influence the firing patterns and coherence degree of neuron under TMAES in neuroses or psychoses.

Artificial intelligence in assessing cardiovascular diseases and risk factors via retinal fundus images: A review of the last decade

AbstractCardiovascular diseases (CVDs) are the leading cause of death globally. The use of artificial intelligence (AI) methods—in particular, deep learning (DL)—has been on the rise lately for the analysis of different CVD‐related topics. The use of fundus images and optical coherence tomography angiography (OCTA) in the diagnosis of retinal diseases has also been extensively studied. To better understand heart function and anticipate changes based on microvascular characteristics and function, researchers are currently exploring the integration of AI with noninvasive retinal scanning. There is great potential to reduce the number of cardiovascular events and the financial strain on healthcare systems by utilizing AI‐assisted early detection and prediction of cardiovascular diseases on a large scale. A comprehensive search was conducted across various databases, including PubMed, Medline, Google Scholar, Scopus, Web of Sciences, IEEE Xplore, and ACM Digital Library, using specific keywords related to cardiovascular diseases and AI. The study included 87 English‐language publications selected for relevance, and additional references were considered. This article provides an overview of the recent developments and difficulties in using AI and retinal imaging to diagnose cardiovascular diseases. It provides insights for further exploration in this field. Researchers are trying to develop precise disease prognosis patterns in response to the aging population and the growing global burden of CVD. AI and DL are revolutionizing healthcare by potentially diagnosing multiple CVDs from a single retinal image. However, swifter adoption of these technologies in healthcare systems is required.This article is categorized under: Application Areas > Health Care Technologies > Artificial Intelligence

Fine-Scale Aerosol-Jet Printing of Luminescent Metal-Organic Framework Nanosheets.

Fabrication of metal-organic framework (MOF) thin films is an ongoing challenge to achieve effective device integration. Inkjet printing has been employed to print various luminescent metal-organic framework (MOF) films. Luminescent metal-organic nanosheets (LMONs), nanometer-thin particles of MOF materials with comparatively large micrometer lateral dimensions, provide an ideal morphology that offers enhancements over analogous MOFs in luminescent properties such as intensity and photoluminescent quantum yield. The morphology is also better suited to the formation of thin films. This work harnesses the preferential features of LMONs to access the advanced technique of aerosol-jet printing (AJP) to print luminescent films with precise geometries and patterns across the micrometer and centimeter length scales. AJP of LMONs exhibiting red (R), green (G), and blue (B) emission were studied systematically to reveal the increase of luminescence upon additive layering printing until a threshold was reached limited by self-quenching. By combining different LMON emitters, emission chromaticity and intensity were shown to be tunable, including the combination of RGB emitters to fabricate white-light-emitting films. A white-light LMON film was printed onto a UV light emitting diode (LED), producing a working white-light-emitting diode. Printing with multiple distinct photoluminescent inks produced intricate multicolor patterns that dynamically responded to excitation wavelength, acting either as micrometer-scale LED-type cells or larger visual tags. Collectively, the work offers an advancement for MOF thin films by printing MON materials using AJP, offering a precise method for manufacturing a wide range of critical functional devices, from luminescent sensors to optoelectronics, and more broadly even the opportunity for printed circuitry with conductive MONs.

Urban Morphology Classification and Organizational Patterns: A Multidimensional Numerical Analysis of Heping District, Shenyang City

Prior studies have failed to adequately address intangible characteristics and lacked a comprehensive quantification of cultural dimensions. Additionally, such works have not merged supervised and unsupervised classification methodologies. To address these gaps, this study employed multidimensional numerical techniques for precise spatial pattern recognition and urban morphology classification at the block scale. By examining building density, mean floor numbers, functional compositions, and street block mixed-use intensities, alongside historical and contemporary cultural assets within blocks—with assigned weights and entropy calculations from road networks, building vectors, and POI data—a hierarchical categorization of high, medium, and low groups was established. As a consequence, cluster analysis revealed seven distinctive morphology classifications within the studied area, each with unique spatial configurations and evolutionary tendencies. Key findings include the dominance of high-density, mixed-use blocks in the urban core, the persistence of historical morphologies in certain areas, and the emergence of new, high-rise clusters in recently developed zones. The investigation further elucidated the spatial configurations and evolutionary tendencies of each morphology category. These insights lay the groundwork for forthcoming studies to devise morphology-specific management strategies, thereby advancing towards a more scientifically grounded, rational, and precision-focused approach to urban morphology governance.

Fabrication of GelMA - Agarose Based 3D Bioprinted Photocurable Hydrogel with In Vitro Cytocompatibility and Cells Mirroring Natural Keratocytes for Corneal Stromal Regeneration.

The complex anatomy of the cornea and the subsequent keratocyte-fibroblast transition have always made corneal stromal regeneration difficult. Recently, 3D printing has received considerable attentionin terms of fabrication of scaffoldswith precise dimension and pattern. In the current work, 3D printable polymer hydrogels made of GelMA/agarose are formulated and its rheological properties are evaluated. Despite the variation in agarose content, both the hydrogels exhibited G'>G'' modulus. A prototype for 3D stromal model is created using Solid Works software, mimicking the anatomy of an adult cornea. The fabrication of 3D-printed hydrogels is performed using pneumatic extrusion. The FTIR analysis speculated that the hydrogel is well crosslinked and established strong hydrogen bonding with each other, thus contributing to improved thermal and structural stability. The MTT analysis revealed a higher rate of cell proliferation on the hydrogels. The optical analysis carried out on the 14th day of incubation revealed that the hydrogels exhibit transparency matching with natural corneal stromal tissue. Specific protein marker expression confirmed the keratocyte phenotype and showed that the cells do not undergo terminal differentiation into stromal fibroblasts. The findings of this work point to the potential of GelMA/A hydrogels as a novel biomaterial for corneal stromal tissue engineering.

Mechanically forced meniscus water waves in a square container with functionalized wetting conditions

Capillary–gravity surface waves, called meniscus waves, are excited at the air–water interface near the lateral boundary of a mechanically forced square container. Experiments are conducted in two working containers: one is overall hydrophilic at four boundaries and the other is functionalized to have a hydrophobic boundary. The static meniscus structures and instantaneous wave topography are reconstructed at high resolution from the side-view and top-view high-speed camera recordings. Wave resonances arise from the interaction of four inward-traveling waves, with the frequency-response characteristics indicating the effect of wetting conditions on the selection of standing wave patterns. The most-resonant modes are identified as a superposition of dominant modes and higher-order components. An analytical model of the rest-state meniscus and resonant-state wave surface decomposes the wave responses into two groups of resonances along two transverse directions linked by a frequency-dependent parameter γ. Theoretical selection of the dominant wave components and the second-order harmonics is in close agreement with the spatiotemporal surface-fitting experimental results. Additionally, the wetting boundary conditions can be functionalized to excite specific standing wave patterns, which could provide a novel approach to precise pattern control in bioprinting technology for tissue engineering applications.

Multi‐Level Wettability Patterned Porous Matrix for Advanced Optical Information Encryption

AbstractIn the rapidly evolving landscape of information security, the demand for optical encryption techniques based on wettability patterning, which allows decryption without sophisticated devices and complex procedures, is progressively increasing. However, conventional approaches based on binary wettability patterned surfaces impose significant constraints in their practical use for high‐level information security. Herein, a novel approach to optically encrypt information through multi‐level wettability patterning is introduced on a porous polymer matrix synthesized from vinyl methacrylate (VMA) and poly(ethylene glycol) diacrylate (PEGDA). By employing the thiol‐ene click reaction, precise patterning of functional groups is achieved that exhibit distinct wettability responses to aqueous solutions with varying surface tensions, as well as pH‐responsive and fluorescent markers. This multi‐level wettability system surpasses traditional binary hydrophilic/hydrophobic patterns by providing enhanced control over wettability states, resulting in higher‐level encryption of information. The integration of pH and fluorescence responsivity further elevates the complexity and security of the encrypted information, making it decipherable only under specific and controlled conditions. The innovative approach offers a highly secure, robust, and customizable encryption method, redefining the potential of optical encryption technologies.

Robust tissue pattern formation by coupling morphogen signal and cell adhesion

Morphogens, locally produced signaling molecules, form a concentration gradient to guide tissue patterning. Tissue patterns emerge as a collaboration between morphogen diffusion and responsive cell behaviors, but the mechanisms through which diffusing morphogens define precise spatial patterns amidst biological fluctuations remain unclear. To investigate how cells respond to diffusing proteins to generate tissue patterns, we develop SYMPLE3D, a 3D culture platform. By engineering gene expression responsive to artificial morphogens, we observe that coupling morphogen signals with cadherin-based adhesion is sufficient to convert a morphogen gradient into distinct tissue domains. Morphogen-induced cadherins gather activated cells into a single domain, removing ectopically activated cells. In addition, we reveal a switch-like induction of cadherin-mediated compaction and cell mixing, homogenizing activated cells within the morphogen gradient to form a uniformly activated domain with a sharp boundary. These findings highlight the cooperation between morphogen gradients and cell adhesion in robust tissue patterning and introduce a novel method for tissue engineering to develop new tissue domains in organoids.

Pax6 expressing neuroectodermal and ocular stem cells: Its role from a developmental biology perspective.

Pax-6 emerges as a critical transcription factor that guides the fate of stem cells towards neural lineages. Its expression influences the differentiation of neural progenitors into diverse neuronal subtypes, glial cells, and other neural cell types. Pax-6 operates with other regulatory factors to ensure the precise patterning and organization of the developing nervous system. The intricate interplay between Pax-6 and other signaling pathways, transcription factors, and epigenetic modifiers underpins the complicated balance between stem cell maintenance, proliferation, and differentiation in neuroectodermal and ocular contexts. Dysfunction of Pax-6 can lead to a spectrum of developmental anomalies, underscoring its importance in these processes. This review highlights the essential role of Pax-6 expression in neuroectodermal and ocular stem cells, shedding light on its significance in orchestrating the intricate journey from stem cell fate determination to the emergence of diverse neural and ocular cell types. The comprehensive understanding of Pax-6 function gained from a developmental biology perspective offers valuable insights into normal development and potential therapeutic avenues for neuroectodermal and ocular disorders.

Architecture of CTPS filament networks revealed by cryo-electron tomography

The cytoophidium is a novel type of membraneless organelle, first observed in the ovaries of Drosophila using fluorescence microscopy. In vitro, purified Drosophila melanogaster CTPS (dmCTPS) can form metabolic filaments under the presence of either substrates or products, and their structures that have been analyzed using cryo-electron microscopy (cryo-EM). These dmCTPS filaments are considered the fundamental units of cytoophidia. However, due to the resolution gap between light and electron microscopy, the precise assembly pattern of cytoophidia remains unclear. In this study, we find that dmCTPS filaments can spontaneously assemble in vitro, forming network structures that reach micron-scale dimensions. Using cryo-electron tomography (cryo-ET), we reconstruct the network structures formed by dmCTPS filaments under substrate or product binding conditions and elucidate their assembly process. The dmCTPS filaments initially form structural bundles, which then further assemble into larger networks. By identifying, tracking, and statistically analyzing the filaments, we observed distinct characteristics of the structural bundles formed under different conditions. This study provides the first systematic analysis of dmCTPS filament networks, offering new insights into the relationship between cytoophidia and metabolic filaments.

ARHGEF3 Regulates Hair Follicle Morphogenesis.

During embryogenesis, cells arrange into precise patterns that enable tissues and organs to develop specialized functions. Despite its critical importance, the molecular choreography behind these collective cellular behaviors remains elusive, posing a major challenge in developmental biology and limiting advances in regenerative medicine. By using the mouse hair follicle as a mini-organ system to study the formation of bud-like structures during embryonic development, our work uncovers a crucial role for the Rho GTPase regulator ARHGEF3 in hair follicle morphogenesis. We demonstrate that Arhgef3 expression is upregulated at the onset of hair follicle placode formation. In Arhgef3 knockout animals, we observed defects in placode compaction, leading to impaired hair follicle downgrowth. Through cell culture models, we show that ARHGEF3 promotes F-actin accumulation at the cell cortex and P-cadherin enrichment at cell-cell junctions. Collectively, our study identifies ARHGEF3 as a new regulator of cell shape rearrangements during hair placode morphogenesis, warranting further exploration of its role in other epithelial appendages that arise from similar developmental processes.