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Search indexed bioRxiv preprints in genomics, neuroscience, cell biology and bioinformatics. Read source abstracts and check manuscript versions; preprints are not peer reviewed.

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Multi-scale simulations of membrane adhesion mediated by CD47-SIRPα complexes

Adhesion of biological cells is essential for various processes, including tissue formation, immune responses, and signaling. It involves multiple length scales, ranging from nanometers to micrometers, which are characteristic of (a) the intercellular receptor-ligand binding that mediates the cell adhesion, (b) the spatial distribution of the receptor and lignad proteins in the membranes of adhering cells, (c) adhesion-induced deformations and thermal undulations of the membranes, (d) the overall size of the interface between adhering cells. Therefore, computer simulations of cell membrane adhesion require multi-scale modeling and suitable approximations that capture the essential physics of the system under study. Here, we introduce such a multi-scale approach to study membrane adhesion mediated by the CD47-SIRP binding, which is an immunologically relevant process. The synergetic use of coarse-grained molecular dynamics simulations and mesoscale kinetic Monte Carlo simulations allows us to explore both equilibrium properties and dynamical behavior of adhering membranes on the relevant length scales between 1 nm and 1 {micro}m on time scales ranging from 0.1 ns all the way up to about 20 s. The multi-scale simulations not only reproduce available experimental data but also give quantitative predictions on binding-induced conformational changes of SIRP and membrane-mediated cooperativity of the CD47-SIRP binding as well as fluctuation-induced interactions between the CD47-SIRP complexes. Our approach is applicable to various membrane proteins and provides invaluable data for comparison with experimental findings.

biophysics↗

Safe focused ultrasound-mediated blood-brain barrier opening is driven primarily by transient reorganization of tight junctions

Focused ultrasound (FUS) with microbubbles opens the blood-brain barrier (BBB) to allow targeted drug delivery into the brain. The mechanisms by which endothelial cells (ECs) respond to either low acoustic pressures known to open the BBB transiently, or high acoustic pressures that cause brain damage, remain incompletely characterized. Here, we use a mouse strain where tight junctions between ECs are labelled with eGFP and apply FUS at low (450 kPa) and high (750 kPa) acoustic pressures, after which mice are sacrificed at 1 or 72 hours. We find that the EC response leading to FUS-mediated BBB opening at low pressures is localized primarily in arterioles and capillaries, and characterized by a transient loss and reorganization of tight junctions. BBB opening still occurs at low safe pressures in mice lacking caveolae, suggesting that it is driven primarily by transient dismantlement and reorganization of tight junctions. In contrast, BBB opening at high pressures is associated with obliteration of EC tight junctions that remain unrepaired even after 72 hours, allowing continuous fibrinogen passage and persistent microglial activation. Single-cell RNA-sequencing of arteriole, capillary and venule ECs from FUS mice reveals that the transcriptomic responses of ECs exposed to high pressure are dominated by genes belonging to the stress response and cell junction disassembly at both 1 and 72 hours, while lower pressures induce primarily genes responsible for intracellular repair responses in ECs. Our findings suggest that at low pressures transient reorganization of tight junctions and repair responses mediate safe BBB opening for therapeutic delivery. Significance StatementFocused ultrasound with microbubbles is used as a noninvasive method to safely open the BBB at low acoustic pressures for therapeutic delivery into the CNS, but the mechanisms mediating this process remain unclear. Kugelman et al., demonstrate that FUS-mediated BBB opening at low pressures occurs primarily in arterioles and capillaries due to transient reorganization of tight junctions. BBB opening still occurs at low safe pressures in mice lacking caveolae, suggesting a transcellular route-independent mechanism. At high unsafe pressures, cell junctions are obliterated and remain unrepaired even after 72 hours, allowing fibrinogen passage and persistent microglial activation. Single-cell RNA-sequencing supports cell biological findings that safe, FUS-mediated BBB opening may be driven by transient reorganization and repair of EC tight junctions.

bioengineering↗

Microscopic and structural observations of actin filament capping and severing by Cytochalasin D

Cytochalasin D (CytoD) is widely used to inhibit actin polymerization, but the underlying regulatory mechanism is unclear. We addressed this using Total Internal Reflection Fluorescence (TIRF) microscopy. Our time course depolymerization assay of individual actin filaments showed that CytoD tightly caps the barbed end, with an estimated Km value for inhibition of 4.1 nM and a duration time of [~]1 min. Consistently, in polymerization assays, CytoD at concentrations near the Km value completely suppressed barbed end elongation. Interestingly, at lower concentrations, CytoD acted as a leaky capper, allowing actin monomer addition by rapidly binding to and dissociating from barbed ends. We interpreted this contradictory behavior as arising from differences in binding modes: capping one strand (fast dissociation) or both strands (slow dissociation). CytoD severs actin filaments at micromolar levels, a concentration range commonly used in cell biological studies. Although the severing rate is slower than cofilin, the frequency is higher, resulting in the fragmentation of filaments into shorter pieces. Severing activity was suppressed by inorganic phosphate or cofilin. We determined the crystal structure of CytoD bound to filamentous conformation (F-form) actin and found that CytoD fits better in the hydrophobic cleft of F-form actin than in the monomeric conformation actin, explaining the preferential binding towards barbed end subunits. The structure further indicates that CytoD prevents barbed end depolymerization by stabilizing the terminal subunits in the F-form, which is supported by our MD simulations. Collectively, our results demonstrate how CytoD regulates actin dynamics at the molecular level.

biophysics↗

Hyperlipidemia drives tumor growth in a mouse model of obesity-accelerated breast cancer growth.

Obesity is an established risk factor for breast cancer (BC), yet the specific mechanisms driving this association remain unclear. Dysregulated lipid metabolism has emerged as a key factor in cancer cell biology. While obesity is often accompanied by hyperlipidemia, the isolated impact of elevated lipid levels on BC growth has not been experimentally tested. Using the E0771 orthotopic model of obesity-accelerated BC growth in immune-competent mice, we investigated the direct role of systemic lipids in tumor growth. Combining dietary and genetic mouse models, we show that elevated circulating lipids are sufficient to accelerate BC tumor growth even in the absence of obesity or alterations in blood glucose and/or insulin levels. Pharmacological lowering of systemic lipid levels attenuates BC growth in obese mice, suggesting a direct role for lipids in fueling tumor expansion. Notably, we also show that weight loss alone, without a corresponding reduction in lipid levels such as that induced by a ketogenic diet, fails to protect against BC, highlighting the necessity of targeting lipid metabolism in obesity-associated BC. Our findings establish hyperlipidemia as a critical driver of BC progression and suggest that lipid-lowering interventions may be a promising strategy to mitigate BC risk in obese individuals.

cancer biology↗

Multi-alignment framework - consider and detect genomic and transcriptomic sequence alignment variability by comparing different techniques

DNA and RNA nucleotide sequences are ubiquitous in all biological cells, serving as both a comprehensive library of capabilities for the cells and as an impressive regulatory system to control cellular function. The multi-alignment framework (MAF) provided in this study offers a user-friendly platform for sequence alignment and quantification. It is adaptable to various research needs and can incorporate different tools and parameters for in-depth analysis, especially in low read rate scenarios. This framework can be used to compare results from different alignment programs and algorithms on the same dataset, allowing for a comprehensive analysis of subtle to significant differences. This concept is demonstrated in a small RNA case study. MAF is specifically designed for the Linux platform, commonly used in bioinformatics. Its script structure streamlines processing steps, saving time when repeating procedures with various data sets. While the focus is on microRNA analysis, the templates provided can be adapted for all transcriptomic and genomic analyses. The template structure allows for flexible integration of pre- and post-processing steps. MicroRNA analysis indicates that STAR and Bowtie2 alignment programs are more effective than BBMap. Combining STAR with the Salmon quantifier, or with some limitations, the Samtools quantification, appears to be the most reliable approach. This method is ideal for scientists who want to thoroughly analyze their alignment results to ensure quality. The detailed microRNA analysis demonstrates the quality of three alignment and two quantification methods, offering guidance on assessing result quality and reducing false positives.

bioinformatics↗

Tahoe-100M: A Giga-Scale Single-Cell Perturbation Atlas for Context-Dependent Gene Function and Cellular Modeling

Building predictive models of the cell requires systematically mapping how perturbations reshape each cells state, function, and behavior. Here, we present Tahoe-100M, a giga-scale single-cell atlas of 100 million transcriptomic profiles measuring how each of 1,100 small-molecule perturbations impact cells across 50 cancer cell lines. Our high-throughput Mosaic platform, composed of a highly diverse and optimally balanced "cell village", reduces batch effects and enables parallel profiling of thousands of conditions at single-cell resolution at an unprecedented scale. As the largest single-cell dataset to date, Tahoe-100M enables artificial-intelligence (AI)-driven models to learn context-dependent functions, capturing fundamental principles of gene regulation and network dynamics. Although we leverage cancer models and pharmacological compounds to create this resource, Tahoe-100M is fundamentally designed as a broadly applicable perturbation atlas and supports deeper insights into cell biology across multiple tissues and contexts. By publicly releasing this atlas, we aim to accelerate the creation and development of robust AI frameworks for systems biology, ultimately improving our ability to predict and manipulate cellular behaviors across a wide range of applications.

genomics↗

Capsule-mediated O-antigen masking protects hypervirulent Klebsiella pneumoniae from neutrophil killing

Klebsiella pneumoniae is listed as a critical priority pathogen by the WHO due to prevalent extended-spectrum {beta}-lactamase and carbapenem resistance and high mortality rates Hypervirulent K. pneumoniae (hvKp) causes life-threatening infections in immunocompetent individuals, while classical K. pneumoniae (cKp) causes nosocomial infections in immunosuppressed patients. The convergence of hypervirulence with antibiotic resistance is now a major global health threat. Using a murine pulmonary infection model, we show that hvKp resisted clearance despite significant neutrophil recruitment. Using clinical hvKp and cKp isolates, bone marrow derived neutrophils, cell biology, pharmacology and imaging (both light and electron microscopy) in ex vivo assays revealed that the hvKp hypermucoviscous capsule prevents bacterial recognition and neutrophil activation, blocking ROS production, degranulation, and neutrophil extracellular traps (NETs) formation. In the absence of capsule ({Delta}wcaJ) or hypermucoid capsule determinants ({Delta}rmpADC), hvKp activates neutrophils, leading to degranulation, NET formation and bacterial killing. While superimposing the absence of O-antigen ({Delta}rfb) on the {Delta}wcaJ abrogates degranulation, neutrophils still elaborate NETs that eliminate the {Delta}wcaJ/{Delta}rfb mutant at high efficiency. This suggests that O-antigen is a double-edged sword, functioning as a PAMP triggering neutrophil degranulation yet assisting the pathogen to evade NET-mediated destruction. These findings shed light on the mechanism underpinning immune evasion by the hypervirulent capsule in hvKp.

microbiology↗

Unraveling new characteristics of γδT cells using scRNA-seq in TCR KO chicken

The characterization of T cells in chickens has proven to be challenging, primarily due to the lack of specific markers to differentiate classical Th1, Th2, and Th17 subsets. Furthermore, chickens possess a notably high proportion of {gamma}{delta} T cells, making them a unique model for investigating the poorly understood role of these cells not only in chickens but also in mammals. To gain deeper insights into the functions and characteristics of the {beta} and {gamma}{delta} T cell subsets in chickens, whole transcriptome analysis (WTA) on CD3+ single cells isolated from wild type (WT), TCR C{beta} knockout (KO) and TCR C{gamma} KO chickens at embryonic day (ED) 18, day (d) 3, and d14 post-hatch was conducted. The results indicate that {gamma}{delta} T cells exhibit cytolytic activity in both TCR C{beta} KO and WT chickens. A distinct cluster of {gamma}{delta} T cells expressing genes associated with the interferon pathway was revealed in TCR C{beta} KO chickens, which may contribute to the severe phenotype in these chickens, which is characterized by severe inflammation of spleen, gut and stomach. Additionally, novel gene markers were identified that precisely define the {beta} and {gamma}{delta} T cell subsets. These findings provide new insights into chicken T cell biology and contribute to a better understanding of the mechanisms underlying the severe phenotype observed in TCR C{beta} KO chickens.

immunology↗

Metagenomics of the MAST-3 stramenopile, Incisomonas, and its associated microbiome reveals unexpected metabolic attributes and extensive nutrient dependencies

Protists are polyphyletic singled-celled eukaryotes that underpin global ecosystem functioning, particularly in the oceans. Most remain uncultured, limiting investigation of their physiology and cell biology. MArine STramenopiles (MASTs) are heterotrophic protists that, although related to well-characterised photosynthetic diatoms and parasitic oomycetes, are poorly studied. The Nanomonadea (MAST-3) species Incisomonas marina has been maintained in co-culture with a bacterial consortium, offering opportunities to investigate the metabolic attributes and nutritional dependencies of the community. Employing a metagenomics approach, the 68 Mbp haploid genome of I. marina was retrieved to an estimated completeness of 93%, representing the most complete MAST genome so far. We also characterised the diversity of, and assembled genomes for, 23 co-cultured bacteria. Auxotrophy of I. marina for B vitamins (B1, B2, B6, B7 and B12), but not vitamins C, B3, B5 and B9 was predicted. Several bacteria also lacked complete B-vitamin biosynthesis pathways, suggesting that vitamins and/or their precursors are exchanged in the consortium. Moreover, I. marina lacked the ability to synthesise half the protein amino acids, although genes encoding the complete urea cycle were identified, like diatoms; this may play a role in recycling organic nitrogen compounds. Unexpectedly, we also identified the gene DSYB for dimethylsulphoniopropionate (DMSP) biosynthesis. Biosynthesis of this important stress-protectant and bacterial chemoattractant is typically found in photosynthetic eukaryotes and has not before been identified in heterotrophic stramenopiles. Together, our study reveals the metabolic attributes of a hitherto understudied organism, advancing knowledge of the evolution and adaptations of the stramenopiles and informing future culturing efforts.

microbiology↗

Reconstructing Noisy Gene Regulation Dynamics UsingExtrinsic-Noise-Driven Neural Stochastic Differential Equations

Proper regulation of cell signaling and gene expression is crucial for maintaining cellular function, development, and adaptation to environmental changes. Reaction dynamics in cell populations is often noisy because of (i) inherent stochasticity of intracellular biochemical reactions ("intrinsic noise") and (ii) heterogeneity of cellular states across different cells that are influenced by external factors ("extrinsic noise"). In this work, we introduce an extrinsic-noise-driven neural stochastic differential equation (END-nSDE) framework that utilizes the Wasserstein distance to accurately reconstruct SDEs from trajectory data from a heterogeneous population of cells (extrinsic noise). We demonstrate the effectiveness of our approach using both simulated and experimental data from three different systems in cell biology: (i) circadian rhythms, (ii) RPA-DNA binding dynamics, and (iii) NF{kappa}B signaling process. Our END-nSDE reconstruction method can model how cellular heterogeneity (extrinsic noise) modulates reaction dynamics in the presence of intrinsic noise. It also outperforms existing time-series analysis methods such as recurrent neural networks (RNNs) and long short-term memory networks (LSTMs). By inferring cellular heterogeneities from data, our END-nSDE reconstruction method can reproduce noisy dynamics observed in experiments. In summary, the reconstruction method we propose offers a useful surrogate modeling approach for complex biophysical processes, where high-fidelity mechanistic models may be impractical.

molecular biology↗

Structural bases for Nuclear Factor 1-X activation and DNA recognition. Prototypic insight into the NFI transcription factor family

Nuclear Factor I (NFI) proteins were first identified in adenovirus DNA replication and later as regulators of gene transcription, stem cell proliferation, and differentiation. They play key roles in development, cancer and congenital disorders. Within the NFI family, NFI-X is critical for neural stem cell biology, hematopoiesis, muscle development, muscular dystrophies and oncogenesis. Here, we present the first structural characterization of the NFI transcription factor, NFI-X, both alone and bound to its consensus palindromic DNA site. Our analyses reveal a novel, MH1-like fold within NFI-X DNA-binding domain (DBD) and identify crucial structural determinants for activity, such as a Zn{superscript 2} binding site, dimeric assembly, activation mechanism and DNA-binding specificity. Given the >95% sequence identity within the NFI DBDs, our structural data are prototypic for the entire family; a NFI Rosetta Stone that allows decoding a wealth of biochemical and functional data and provides a precise target for drug design in a wider disease context.

biochemistry↗

Circular RNA profiling and functional screening in breast cancer identify circNSD1 as a suppressor of tumor autophagy

Circular RNAs (circRNAs) have emerged as critical regulators of cell biology. However, their function in breast cancer remains elusive. Herein, through circRNA profiling of 38 breast tumors and 10 benign breast tissues, we identified 509 of differentially expressed circRNAs. Integration with transcriptome-wide functional screening of approximately 10,000 circRNAs pinpointed circNSD1(6) as a top ranked tumor suppressor in breast cancer. circNSD1(6) is downregulated in tumors and suppression of the circular form, but not the linear form, promotes breast cancer proliferation and tumor growth. Mechanistically, circNSD1(6) interacts with autophagy receptor SQSTM1/p62 and inhibits the oligomerization of p62, thereby suppressing p62 body formation and p62-dependent autophagy. Furthermore, circNSD1(6) ameliorates p62-mediated Keap1 sequestration, hence suppresses the Nrf2 pathway and oxidative stress tolerance. Our study provides a landscape view of the transcription and function of circRNA in breast cancer, and uncovers the crucial role of circNSD1(6) in autophagy and antioxidant stress.

cancer biology↗

Genome sequence assembly and annotation of MATA and MATB strains of Yarrowia lipolytica

Yeast is commonly utilized in molecular and cell biology research, and Yarrowia lipolytica is favored by bio-engineers due to its ability to produce copious amounts of lipids, chemicals, and enzymes for industrial applications. Y. lipolytica is a dimorphic yeast that can proliferate in aerobic and hydrophobic environments conducive to industrial use. However, there is limited knowledge about the basic molecular biology of this yeast, including how the genome is duplicated and how gene silencing occurs. Genome sequences of Y. lipolytica strains have offered insights into this yeast species and have facilitated the development of new industrial applications. Although previous studies have reported the genome sequence of a few Y. lipolytica strains, it is of value to have more precise sequences and annotation, particularly for studies of the biology of this yeast. To further study and characterize the molecular biology of this microorganism, a high-quality reference genome assembly and annotation has been produced for two related Y. lipolytica strains of the opposite mating type, strain E122 (MATA) and 22301-5 (MATB). The combination of short-read and long-read sequencing of genome DNA and short-read and long-read sequencing of transcript cDNAs allowed the genome assembly and a comparison with a distantly related Yarrowia strain.

genomics↗

Optically driven control of mechanochemistry and fusion dynamics of biomolecular condensates via thymine dimerization

Phase-separated biomolecular condensates serve as functional elements of biological cells, contribute to protocell formation in prebiotic systems during early life, and represent a distinct class of soft matter with a broad range of potential applications. Understanding and controlling condensate mechanochemistry is critical for their function and material properties. Photochemical processes, such as UV-induced chemical modifications, are ubiquitous in nature and can have both detrimental and constructive impacts on living systems, and are also readily implemented in engineering applications. However, how phase-separated condensate formation influences photochemical processes, and conversely, how photochemical reactions impact condensate dynamics, remains an open question. Combining scanning probe microscopy with optical imaging and control, we developed assays that enable the study of mechanical transitions and fusion dynamics in condensate droplets, revealing that UV-induced thymine dimerization alters condensate nucleation and coalescence. Depending on the frequency and topological arrangement of thymine dimers, particularly the balance between inter- and intrachain crosslinks, UV can induce a transition from liquid-like to solid-like behaviours or lead to aggregate formation. UV treatment also leads to compartmentalization in condensate systems by e.g., promoting the formation of arrested fusion droplets, which are stable against environmental changes. UV illumination can thus be leveraged to program the architecture and material properties of DNA-based biomolecular condensates, with implications for prebiotic chemistry, and bio-inspired engineering.

biophysics↗

Mucosal tissue NK cells tune their function between optimal anti-pathogen activity and tissue protection

Preserving barrier integrity while mounting effective immunity is essential at mucosal surfaces. In examining the immune cells that mediate both inflammation and tissue homeostasis, we uncovered a dual role for natural killer (NK) cells in barrier immunity. While NK cells are known to control viral infections, here we identify a previously unrecognized reparative function for NK cells in mucosal tissues. Using single-cell RNA sequencing and high-dimensional flow cytometry, we reveal a distinct population of human mucosal NK cells marked by tissue residency, immunoregulatory profiles, and limited cytotoxic potential at homeostasis, yet highly responsive to inflammatory cues. In a mouse model of acute HSV-2 infection, NK cells are required for limiting infection-associated tissue damage. Mucosal NK cells express the epithelial growth factor amphiregulin (Areg), and their depletion leads to increased tissue barrier damage despite preserved viral clearance, suggesting a novel role in tissue protection. Mechanistically, we demonstrate that the barrier-derived cytokines IL-18 and IL-33 induce Areg expression by both human and mouse NK cells, linking local inflammatory cues to reparative NK cell programming that is able to potentiate wound healing. Together, our findings reveal a context-dependent, dual function of mucosal NK cells in immune defense and mucosal tissue protection, expanding current models of NK cell biology.

immunology↗

Phosphorylation of Ser81 in human AGT reversibly inactivate enzyme function and mimics catalytic defects of certain PH1-causing mutations

Phosphorylation is fundamental to modulate protein function and stabilty. There have detected about 300000 site-specic Phosphorylation sites in over 20000 human proteins. However, only 5% of the sites have been experimenrally characterized. In this work, we investigated a phosphorylation event in AGT, an important enzyme due to its detoxifying role of glyoxylate and hundreds of mutations cause a rare disease (primary hyperoxaluria type I or PH1). We analyzed the effect of phosphomimetic mutations Ser81 on the WT proten, the common polymorpshim LM, and the most common disease-associted variants (LM-G170R and LM-I244T). Using biochemical, biophysical and cell biology approaches, we show that phosphorylation at S81 dramatically affects PLP/PMP binding pose and disrupts enzyme activity, without pertubing its subcellular location to peroxisomes. This reversible phenotype is similar to the irreversible effects of some PH1-causing mutaions. Thus, we provide evidence for a novel regulatory mechanism for PH1, in health and disease.

biophysics↗

Comprehensive comparative analysis of the effects of temperature on the Notch signaling response in vivo

Temperature is a critical factor that modulates cellular metabolism and stem cell regulation. Despite extensive studies, the influence of temperature on stem cell regulation via Notch signaling has been limited to studies relying on studies that involve indirect readouts to Notch activation. This study systematically analyzes the effects of temperature on the Notch signaling transcriptional response at the chromosomal, cellular, and tissue levels. Using complementary direct Notch readouts, we demonstrate that Notch activation remains largely unchanged across temperatures, suggesting the presence of temperature-compensatory mechanisms that maintain robust Notch activation. Notch transcriptional activity readouts, however, increased with temperature, indicating that elevated temperatures may enhance Notch transcriptional activity at the chromosomal level. These findings provide a comprehensive framework for understanding effects of temperature and offer new insights into the regulation of Notch signaling in stem cell biology.

developmental biology↗

Structural modeling reveals the allosteric switch controlling the chitin utilization program of Vibrio cholerae

Signal transduction by histidine kinases (HKs) is nearly ubiquitous in bacterial species. HKs can either sense ligands directly or indirectly via a cognate solute binding protein (SBP). The molecular basis for SBP-dependent signal reception, however, remains poorly understood in most cases. CBP and ChiS are the SBP-HK pair that activate the chitin utilization program of Vibrio cholerae. Here, we elucidate the molecular basis for allosteric regulation of CBP-ChiS by generating structural models of this complex in the unliganded and liganded states, which we support with extensive genetic, biochemical, and cell biological analysis. Our results reveal that ligand-binding induces a large conformational interface switch that is distinct from previously described SBP-HKs. Structural modeling suggests that similar interface switches may also regulate other uncharacterized SBP-HKs. Together, these results extend our understanding of signal transduction in bacterial species and highlight a new approach for uncovering the molecular basis of allostery in protein complexes. SIGNIFICANCE STATEMENTAll living things use protein receptors to sense and respond to environmental changes via a process termed signal transduction. However, how these proteins sense environmental stimuli remains poorly understood in many cases. In this study, we study allosteric activation of the chitin sensor, ChiS, by chitin-binding protein, CBP, in Vibrio cholerae as a model system. Using a combination of structural modeling, genetics, and biochemistry we uncovered the molecular basis underlying CBP-ChiS allosteric regulation, which we find is distinct from previously described systems. This work expands our understanding of bacterial signal transduction and highlights an approach for uncovering new modes of allosteric regulation.

microbiology↗