Biology subjects

Hernandez, M.

Publications and source records attributed to Hernandez, M..

At least 19 recordsLinked to original sources

bioRxiv2026

An age-preserving neuronal iSpheroid platform for modeling human aging and Alzheimer disease

Aging is the strongest risk factor for Alzheimer disease (AD), yet existing human neuronal models either erase age-associated features during reprogramming or fail to recapitulate three-dimensional organization of human neuronal tissue. Here, we establish directly induced neuronal spheroids (iSpheroids), a scalable three-dimensional platform generated by direct conversion of primary fibroblasts without pluripotency. iSpheroids generate long-lived, electrophysiologically active neurons from young, unimpaired aged, and sporadic AD donors while preserving donor-specific epigenetic age. Single-nucleus RNA sequencing revealed approximately 96% of cells acquired a neuronal identity and were distributed across multiple neuronal states, including a diversity of neurons. The platform supports incorporation of astrocytes and microglia and generation from non-human primate fibroblasts. AD iSpheroids spontaneously recapitulated neuronal degeneration, amyloid-beta; accumulation, progressive Tau pathology, and metabolic dysfunction. Integrated proteomic, metabolomic, and lipidomic profiling distinguished physiological aging from AD and revealed disease-associated metabolic remodeling. Oxaliplatin shifted AD iSpheroids toward oxidative metabolism, whereas a multi-compound screen identified trametinib as a modulator of inflammatory and age-associated programs.

neuroscience↗

bioRxiv2026

Biochar suppression of antibiotic resistance genes in the soil microbiome

Antimicrobial resistance (AMR) in soils frequently arises from low-level antibiotic presence in agriculture systems where livestock receive antibiotics for disease prevention. Here we assess the influence of oak (Quercus robur) wood biochar (pyrolysis at 7600C) on the microbiome of a parkland soil, after 300 days of incubation, in the presence and absence of the antibiotic sulphamethazine (SMZ). Stable isotope probing coupled to metagenomics was carried out to identify metabolically active microorganisms and quantify antimicrobial resistance gene (ARG) prevalence. Across all treatments, Pseudomonadota and Actinobacteriota dominated (63-78%), with Pseudomonadota enriched in the biologically active heavy water fraction. Gemmatimonadota increased, and Bacillota decreased in heavy fractions, while minor phyla displayed variable shifts. Biochar significantly reduced ARG prevalence in the active heavy water metagenome from 23,485 ARGs in control soils to 10,002 ARGs in biochar-amended soils, while SMZ alone increased to 26,193 ARGs found in their metagenome. Combined biochar and SMZ treatment resulted in lower ARGs (16,890 ARGs) than both control and SMZ-only soils, likely due to a combination of ARG adsorption, antibiotic immobilisation, and microbial community restructuring. These results highlight the potential of biochar as a soil amendment for mitigating the proliferation of AMR in agriculture environments.

microbiology↗

bioRxiv2026

Neuraminidase-Based Cross-Protective Immunity against H5N1 Influenza Viruses in Humans

Highly pathogenic avian influenza A(H5N1) virus continues to expand globally across wild birds, poultry, and multiple mammalian hosts, and the detection of genetic features associated with mammalian adaptation underscores the need to better define preexisting human immunity relevant to pandemic preparedness. Although serologic and vaccine studies have historically emphasized hemagglutinin (HA), neuraminidase (NA) is a key antigen capable of providing protective immunity. Here, we performed a retrospective analysis of NA-specific antibodies in human sera collected across ten influenza seasons spanning the pre- and post-2009 pandemic periods. A total of 749 paired human serum samples (1,498 total) were obtained prior to seasonal inactivated influenza vaccination (T1) and 28 days after vaccination (T2). NA-inhibiting antibodies were measured by enzyme-linked lectin assay (ELLA) using N1 antigens representing three genotypes (B.3.13, D1.1, and EA-2021-AB) from clade 2.3.4.4b A(H5N1) viruses. In parallel, HA-directed responses were assessed by hemagglutination inhibition (HAI). In addition, luciferase-based microneutralization assays were performed to assess the presence of neutralizing antibodies. NA-inhibiting antibodies were detectable against all three genotypes across seasons. Seasonal vaccination was associated with a modest but reproducible increase in NA-inhibiting titers, most apparent from the 2009-2010 season onward, coincident with the introduction of A(H1N1)pdm09 into seasonal vaccine formulations. In contrast, HAI activity against H5 was generally low or undetectable, despite detectable HA-reactive antibodies by ELISA. These data indicate that cross-reactive NA-specific antibodies are present in human sera and can be boosted by seasonal vaccination, supporting increased consideration of NA in influenza serosurveillance and vaccine evaluation. IMPORTANCEThe continued spread of A(H5N1) viruses and reports of mammalian adaptation markers heighten concerns about potential zoonotic transmission into humans. Most studies of human antibody responses focus on influenza HA, but NA is also an important immune target. By analyzing paired sera from humans collected over ten influenza seasons, we show that NA-inhibiting antibodies cross-reacting with multiple contemporary genotypes from clade 2.3.4.4b A(H5N1) viruses are detectable and can be modestly boosted seasonal inactivated influenza vaccination, particularly after the 2009 pandemic. These findings highlight the importance of inducing NA-specific antibodies during influenza vaccination and in including NA in surveillance and in the assessment of vaccines intended to improve preparedness for emerging influenza viruses.

immunology↗

bioRxiv2026

Intrinsic space-time couplings governing multi-scale cortical dynamics

The neocortex covers a vast expanse of the mammalian brain and represents the principal target of clinical neuromodulation; however, the global principles of neocortical operation have been challenging to identify. In this regard, a limitation has been tracking activity with cortex-wide spatial coverage while maintaining access to the millisecond temporal resolution of neuronal firing-- a crucial combination not achievable with existing recording technologies. Here we introduce and apply conformal immersion microscopy, enabling activity tracking across the entire dorsal cortex with millisecond temporal resolution and 100 {micro}m spatial resolution (thus spanning five orders of magnitude in time and four in space), at sufficient sensitivity to resolve single-trial activity beyond 100 Hz. Drawing on physics-based frameworks, we apply multiscale analysis to identify a fundamental frequency-dependent coherence length that partitions the neocortex into discrete dynamical elements with well-defined propagation speeds, boundaries, and scale-invariant dynamics. These dynamical elements were found to be conserved from sub-threshold to suprathreshold (neuronal firing) regimes of neural activity, and were robust to diverse pharmacological, optogenetic, and genetic interventions. However, it was possible to identify and establish conditions allowing elemental boundaries to be selectively overridden, and to allow perturbation of specific elements even while conserving global dynamical architecture. Together, these findings enable measurement of intrinsic spatiotemporal parameters governing the dynamical organization of neocortex, which may provide a foundation for mechanistically-informed basic and translational understanding.

neuroscience↗

bioRxiv2026

Causal and directional elements of global brain dynamics

Mammalian cognition appears to involve coordinated neural activity within and across brain-spanning networks. However, the governing principles of large-scale integration remain largely unknown. Here we developed an approach to record spontaneous cortex-wide neural activity (including with novel genetically encoded activity sensors), over very long timescales, and applied unbiased computation to capture conserved spatiotemporal regularities in these data. Initial screening extracted a set of directional elements: consistent spatiotemporal patterns of cortical activity that generalized across excitatory and inhibitory neuronal cell types as revealed by genetic targeting of activity sensors. In particular, novel genetically encoded voltage-sensing strategies revealed that the directional elements were not only highly conserved, but also were represented across the full neural activity frequency spectrum including the fastest timescales (gamma rhythms) enabled by voltage-sensing. Exploiting the spatiotemporal structure revealed by these directional elements, we tested for causal rules governing cortical network activation, using patterned optogenetic stimulation combined with activity imaging. We found that the directional propagation structure of these elements encoded a causal control hierarchy, as source regions (but not sink regions) sufficed to drive full element recruitment--a principle that held across all tested directional elements. Employing a panel of psychotropic drugs, we showed that directional element structure and excitability were robust to manipulations of neural and behavioral state, even as spontaneous network dynamics were reshaped in compound-specific ways. Finally, we developed and applied an all-optical sensing/control approach targeting the directional elements in a behavioral visual detection paradigm, revealing contributions of these conserved large-scale dynamics to elevated sensorimotor behavioral performance.

neuroscience↗

bioRxiv2026

Tocilizumab induces significant changes in longitudinal proteomes of blood serum from patients with severe COVID-19 pneumonia

Coronavirus disease 2019 (COVID-19) shows highly variable clinical outcomes that are not fully explained by age or comorbidities, underscoring the importance of host molecular responses in determining disease severity. Proteomic and multi-omics studies have linked severe COVID-19 to profound dysregulation of immune, inflammatory, and coagulation pathways, and have shown that circulating protein signatures can predict clinical trajectories. Tocilizumab (TCZ), a monoclonal antibody targeting the interleukin-6 receptor (IL-6R), is an established therapy for IL-6-driven inflammatory diseases and can normalize aberrant molecular profiles. Here, we applied longitudinal serum proteomics to patients with severe SARS-CoV-2 pneumonia treated with TCZ to further characterize how IL-6R blockade reshapes the systemic inflammatory milieu. After TCZ administration, several clinical and inflammatory markers, including C-reactive protein (CRP), CCL5 and CXCL10, decreased. Proteomic profiling revealed that TCZ exerts a sustained effect on the serum proteome, with the most pronounced changes emerging 7 days after treatment. These changes were associated with a broad reconfiguration of the proteomic profile toward a pattern resembling a healthy physiological state, characterized by the restoration of key protein abundances to levels comparable to those observed under homeostatic conditions. Collectively, our findings support that TCZ treatment contributes to the normalization of the inflammatory state in severe COVID-19 and represents a viable therapeutic option for managing the acute inflammatory phase of the disease, while also highlighting additional pathways and biomarkers involved in this recovery process.

pharmacology and toxicology↗

bioRxiv2026

Linking immunity and nutrition: Vital DNA extracellular trap formation in Dictyostelium discoideum reveals an ancestral strategy for microbial management

Extracellular traps (ETs) were originally described in neutrophils as DNA-based structures that immobilize microbes and contribute to innate immunity. Subsequent studies revealed that ET formation occurs across diverse immune cell types and can proceed through non-lytic mechanisms involving mitochondrial DNA release. Whether ETosis also operates outside classical immune contexts and what its ancestral functions may be remain incompletely understood. Here, we show that vegetative, phagocytic cells of the social amoeba Dictyostelium discoideum, a professional bacterial predator with phagocytic mechanisms conserved with those of mammalian innate immune cells, deploy extracellular DNA traps in response to bacterial cues. ET formation is selectively induced by specific lipopolysaccharide variants, is not triggered by canonical neutrophil NET inducers, and occurs through a vital ETosis mechanism that preserves membrane integrity and feeding capacity. Ultrastructural analyses provide the first visualization of extracellular traps in Amoebozoa, revealing extracellular filamentous networks that physically capture bacteria. Molecular characterization demonstrates that amoeboid ETs are enriched in mitochondrial DNA and harbor a dynamic proteomic repertoire dominated by mitochondrial components, DNA-associated proteins, and multiple antibacterial effectors. Notably, ET composition varies with the bacterial stimulus, indicating that ETs are not static structures but rather responsive extracellular assemblies. Together, these findings establish ET formation as a regulated response in a unicellular phagocyte and suggest that extracellular traps may have originally functioned in microbial management during feeding, prior to their elaboration as immune effectors in multicellular organisms. HighlightsO_LIVegetative Dictyostelium discoideum cells deploy mitochondrial DNA-based extracellular traps in response to bacterial cues. C_LIO_LIET formation occurs through a vital, non-lytic mechanism that preserves membrane integrity and feeding capacity. C_LIO_LIExtracellular traps exhibit stimulus-dependent composition and are enriched in mitochondrial and antimicrobial proteins. C_LIO_LIETosis functions as an ancestral strategy for microbial containment and management beyond canonical immune contexts. C_LI

microbiology↗

bioRxiv2025

Human bone marrow adipocytes drive prostate cancer bone metastasis progression via lipid-mediated induction of Angiopoietin-like 4

Bone is the main metastatic site in advanced prostate cancer (PCa) and contains bone marrow adipocytes (BMAds), which account for more than 70% of adult bone marrow. However, their role in the progression of PCa metastases remains poorly understood. Herein, we developed a physiologically relevant 3D culture model using primary human BMAds from red hematopoietic rich-areas (rBMAds) and we showed that rBMAds engage in metabolic crosstalk with PCa cells. Specifically, rBMAds release free fatty acids (FFAs) through a non-canonical lipolytic pathway and these FFAs are taken up by PCa cells inducing a transcriptional reprogramming that promotes motility. Among the responsive genes, Angiopoietin like 4 (ANGPTL4) is the most upregulated via a peroxisome proliferator-activated receptor {gamma}-dependent mechanism, and its silencing abolishes the rBMAd-driven migratory and invasive phenotype. Clinically, elevated ANGPTL4 expression is associated with poor overall survival specifically in PCa bone metastases, is maintained during metastatic progression, and is indicative of aggressive disease. Together, our findings uncover a novel adipocyte-tumor interaction and identify ANGPTL4 as a key mediator and potential therapeutic target in bone-metastatic PCa.

cancer biology↗

bioRxiv2025

Red bone marrow hosts metabolically active anucleate adipocytes that support hematopoiesis

Bone marrow adipocytes (BMAds) are a major component of the bone marrow (BM) that regulate bone turnover and hematopoiesis. In rodents, two distinct adipocyte populations exist: constitutive BMAds (cBMAds), located in areas devoid of hematopoietic cells and resistant to metabolic cues, and regulatory BMAds (rBMAds), interspersed within hematopoietic niches and responsive to energy stress. Despite their potential importance, rBMAds have remained poorly characterized due to their scarcity in rodents. Here, we used a high-yield method to isolate human rBMAds, enabling structural, proteomic, lipidomic, and functional analyses. Remarkably, human rBMAds are anucleate yet retain organelles and maintain lipid and glucose metabolism, but unlike their rodent counterparts, they lack lipolytic activity. They actively secrete factors that support hematopoiesis in vitro, implicating them as functional contributors to the BM niche. These findings suggest that human rBMAds may arise from cBMAds through terminal differentiation and define a novel adipocyte subtype critical for BM homeostasis.

cell biology↗

bioRxiv2025

Distribution of carbon monoxide-oxidizing microorganisms along a chronosequence on Piton De La Fournaise volcano

Volcanic soils provide a unique environment for studying microbial colonization and succession due to their extreme conditions and distinct geochemical profiles. This study focused on carbon monoxide (CO)-oxidizing microbial communities in volcanic soils of varying ages at Piton De La Fournaise (Reunion island). Soil samples from three sites were analyzed to assess microbial community structure using 16S rRNA gene sequencing and metagenomic analysis to identify functional genes involved in CO oxidation. The activity of CO oxidizing microbes in soils was measured. Phylum-level analysis showed increasing Acidobacteriota and Chloroflexota, decreasing Actinomycetota and Bacteroidota, and stable Pseudomonadota, while class-level patterns included rising Alphaproteobacteria and Acidobacteriia, with Ktenobacteria emerging in the oldest soils. CO dehydrogenase-related genes were found in 17 metagenome-assembled genomes across all sites. CO-oxidizing microbes were present across soil ages, with detectable activity in the younger soils and greatest activity in the oldest, suggesting that these microbes actively use CO as an energy source even in soils with primary vegetation, contrary to general understanding. The findings highlight the intricate dynamics of microbial succession in volcanic soils and challenge conventional expectations about community complexity over time. Understanding pioneer communities elucidates soil restoration processes, which will become critical when countering anthropogenic soil degradation.

microbiology↗

bioRxiv2025

Brain Microstructure and Obesity Risk in Early Childhood: Insights from Restriction Spectrum Imaging

Pediatric obesity is a growing public health concern, yet little is known about the neurobiological underpinnings of obesity risk in early childhood. Using restriction spectrum imaging (RSI), we examined associations between adiposity and brain microstructure in a cross-sectional sample of 159 children aged 4-7 years, including 81 with ADHD and 78 typically developing (TD) peers. We focused on RSI-derived measures of restricted diffusion--specifically restricted normalized isotropic (RNI), directional (RND), and total (RNT) signals--as indicators of cellular density in subcortical and cortical regions implicated in reward and salience processing. Body mass index (BMI), percent body fat, waist circumference, and obesity status were assessed. Higher BMI, but not other adiposity measures, was significantly associated with increased RNI in the right insula, nucleus accumbens (NAcc), and putamen, as well as increased RNT in the right insula and pallidum. These findings suggest early microstructural alterations in reward-related circuits, consistent with theories of diet-related neuroinflammation. Contrary to hypotheses, ADHD diagnosis did not moderate the associations, and anthropometric profiles were similar between groups. This suggests a shared neural pathway linking early adiposity and brain structure, independent of diagnostic status. Our findings replicate and extend prior work in older children, highlighting BMI as the most sensitive marker of obesity-related brain differences in early childhood. These results underscore the potential of RSI as a tool for identifying early neural risk markers of obesity and inform future efforts to design preventive interventions during critical developmental windows.

neuroscience↗

bioRxiv2025

Seeing the forest and the trees: a workflow for automatic acquisition of ultra-high resolution drone photos of tropical forest canopies to support botanical and ecological studies

Tropical forest canopies contain many tree and liana species, and foliar and reproductive characteristics useful for taxonomic identification are often difficult to see from the forest floor. As such, taxonomic identification often becomes a bottleneck in tropical forest inventories. Here we present a drone-based workflow to automatically acquire large volumes of close-up, ultra-high resolution photos of selected tree crowns (or specific locations over the canopy) to support tropical botanical and ecological studies (https://youtu.be/80goMEifpc4). Our workflow is built around the small, easy-to-use DJI Mavic 3 Enterprise (M3E) drone, which is equipped with a wide-angle and a telephoto camera. On day one, the pilot maps a forest area of up to [~]200 ha with the wide-angle camera to generate a high-resolution digital surface model (DSM) and orthomosaic using structure-from-motion (SfM) photogrammetry. On subsequent days, the pilot acquires close-up photos with the telephoto camera from up to 300 selected canopy trees per day. These close-up photos are acquired from 6 m above the canopy and contain a high level of visual detail that allows botanists to reliably identify many tree and liana species. The photos are geolocated with survey-grade accuracy using RTK GNSS, thus facilitating spatial co-registration with other data sources, including the photogrammetry products. The primary operational challenge of our workflow is the need to maintain RTK corrections with the drone to ensure that close-up photos are acquired exactly at the predefined locations. The maximum operational range we achieved was 3 km, which would allow the pilot to reach any tree within a [~]2800 ha area from the take-off point. Although our workflow was developed to support taxonomic identification of tropical trees and lianas, it could be extended to any other forest or vegetation type to support botanical, phenological, and ecological studies. We provide harpia, an open-source Python library to program these automatic close-up photo missions with the M3E drone (https://github.com/traitlab/harpia). Data/code for peer review statementWe provide harpia, an open-source Python library to program these automatic close-up photo missions (https://github.com/traitlab/harpia). Drone imagery and labelled close-up photo data are not yet publicly available because they were acquired with the goal of publishing benchmark machine learning datasets and models for tree and liana species classification and prior publication of the data would jeopardize this future publication.

ecology↗

bioRxiv2025

Long-read sequencing of single cell-derived melanoma subclones reveals divergent and parallel genomic and epigenomic evolutionary trajectories

Tumor evolution is driven by various mutational processes, ranging from single-nucleotide vari- ants (SNVs) to large structural variants (SVs) to dynamic shifts in DNA methylation. Current short-read sequencing methods struggle to accurately capture the full spectrum of these genomic and epigenomic alter- ations due to inherent technical limitations. To overcome that, here we introduce an approach for long-read sequencing of single-cell derived subclones, and use it to profile 23 subclones of a mouse melanoma cell line, characterized with distinct growth phenotypes and treatment responses. We develop a computational frame- work for harmonization and joint analysis of different variant types in the evolutionary context. Uniquely, our framework enables detection of recurrent amplifications of putative driver genes, generated by indepen- dent SVs across different lineages, suggesting parallel evolution. In addition, our approach revealed gradual and lineage-specific methylation changes associated with aggressive clonal phenotypes. We also show our set of phylogeny-constrained variant calls along with openly released sequencing data can be a valuable resource for the development of new computational methods.

genomics↗

bioRxiv2025

Dpp6 Homozygous Knockout Mice Exhibit Increased Ethanol Conditioned Place Preference and Acute Ethanol-Induced Anxiolytic Behavior

The gene DPP6 has been associated with behavioral phenotypes of alcohol use disorder (AUD) in recent human genome wide association studies. DPP6 encodes an auxiliary subunit that modulates A-type voltage-gated potassium channels, particularly Kv4.2. To further assess the role of this gene in ethanol-related traits, we tested Dpp6 knockout (KO) mice for ethanol conditioned place preference (CPP), locomotor activity, and ethanol-induced anxiolysis. Male homozygous KO mice (HOM) showed greater preference for the ethanol-paired context compared to wild type littermates (WT) and heterozygous KO mice (HET), while female mice showed no genotypic difference. HOM of both sexes exhibited greater novelty-induced hyperactivity in the CPP apparatus than HET and WT mice in the first two minutes. In a separate experiment, HOM mice showed enhanced locomotor activity following a 1.5 g/kg ethanol injection; however, they also displayed greater locomotor activity during habituation, suggesting basal locomotor differences. Following 1.5 and 2 g/kg injections, HOM mice exhibited EtOH-induced anxiolysis in the first 5 minutes, while the HET and WT mice did not. Lastly, HOM mice displayed a significant sedative response compared to WT animals following a 2 g/kg injection of ethanol. Ultimately, these findings validate a role for Dpp6 in modulating ethanols rewarding, anxiolytic, and sedative effects in a sex-dependent manner.

neuroscience↗

bioRxiv2025

Human induced pluripotent stem cell-derived microglia with a CX3CR1-V249I genetic variant exhibit dysfunctional phenotypes and modulate neuronal growth and function

The involvement of microglia in neurodegenerative diseases has drawn increasing attention, as many genetic risk factors are preferentially expressed in microglia. Microglial fractalkine receptor (CX3CR1) signaling regulates many key microglial functions, and the CX3CR1-V249I single nucleotide polymorphism (SNP) has been associated with increased risk for multiple neurodegenerative conditions, including Alzheimers disease, yet its functional consequences in human microglia remain unexplored. In this study, we generated iPSC-derived human microglia-like cells (hMGLs) and found that the CX3CR1-V249I variant increased susceptibility to starvation-induced cell death, reduced amyloid-beta uptake, altered microglial morphology, and impaired migration, with more pronounced effects in homozygous cells. Co-culture with neurons demonstrated that hMGLs with the CX3CR1-V249I variant misregulated neuronal properties, including abnormal neuronal growth as well as an induction of neuronal hyperexcitability. These findings highlight the critical role of CX3CR1 in regulating microglial function and implicate the V249I variant in driving pathogenic microglial states relevant to neurodegeneration.

neuroscience↗

bioRxiv2025

The gut microbiome of the Passalid beetle has high cellulolytic potential and constitutes an unrecognized system for production of greenhouse gasses in neotropical forests

Herbivores, and their associated microbiomes, play a major role in the global carbon cycle. Recalcitrant cellulose molecules are broken down by microorganisms that colonize the herbivore gut, releasing greenhouse gasses in the process. Passalid beetles are tropical herbivores that feed only on decaying wood and present subsocial behavior that may lead to the acquisition and sharing of microbial symbionts for efficient biomass and energy production. We collected five groups of Veturius sp. Passalid beetles from different logs in the Costa Rican rainforest and analyzed the microbial communities of larval and adult guts, as well as the substrate material in which they resided (partially chewed wood material mixed with feces that covers their tunnels). Adults, larvae, and substrate harbor different microbial communities, with substrate showing the highest diversity and richness, and larvae gut comprising a high abundance of methanogenic archaea. Reconstructed metagenome assembled genomes (MAGs) revealed that larvae and adults are enriched in genomes encoding a myriad of glycosyl hydrolases. Methanogenic taxa were enriched within the larval MAGs and bins, suggesting that larval microbiota participate in the final steps of cellulose decomposition in the system. Finally, we assessed methane production rates by Passalid beetles and compared them with termites. Our results show that Passalid larvae and adults produce methane at rates comparable to termites. Passalid and other beetle larvae are potentially underappreciated contributors to the carbon cycle and the biotic production of the greenhouse gas methane.

microbiology↗

bioRxiv2025

Region-specific Brain Targets Drive Circuit Formation and Maturation of Human Retinal Ganglion Cells

Human vision relies on retinal ganglion cells (RGCs), and their connectivity with distinct brain regions enables higher order visual processing. RGCs vary considerably between species, and many model organisms display distinct RGC types and innervation patterns from those in humans. There is thus a need for robust models of human RGC circuit formation that preserves innervation specificity. Here, we developed an in vitro microfluidics eye-to-brain connectivity model using human pluripotent stem cell (hPSC)-derived RGCs to assess brain region-specific connectivity features. We found that cultured human RGCs segregate their dendrites and axons and display axonal features that align with those of their in vivo human RGC counterparts. To identify brain target surrogates, we conducted bioinformatic similarity assessments, which revealed high conservation and lower variability between human LGN and mouse counterparts relative to available thalamocortical organoids. We thus provided region-specific mouse visual targets to assess specificity and activity. We found that human RGC axons terminals differentially connected with distinct mouse retinorecipient brain regions and promoted region-specific neural activity. Increased synapse formation occurred between RGCs and lateral geniculate neurons relative to that with suprachiasmatic nucleus neurons, modeling retina brain connectivity differences. Both retinorecipient partners induced the formation of more synapses relative to non-retinorecipient brain target controls. These results suggest that human RGC innervation properties are preserved in culture systems and that human RGCs can differentially sense and respond to retinorecipient targets to control wiring outcomes. These systems may aid in the discovery of wiring factors for potential therapeutic applications. Significance StatementThis study presents a novel in vitro model to investigate human retinal ganglion cell (RGC) connectivity, using human pluripotent stem cell-derived RGCs and specific mouse brain targets. By modeling eye-to-brain connections in a microfluidics device, we reveal that cultured human RGCs can form selective, region-specific synapses with mouse-derived brain areas like the lateral geniculate nucleus and the suprachiasmatic nucleus. The findings demonstrate that human RGCs retain their innervation specificity presences in culture, mimicking in vivo human connectivity patterns. This model thus provides a powerful tool for understanding the factors controlling human-specific brain wiring, with potential applications in therapies for visual and neurological disorders.

neuroscience↗

bioRxiv2025

Tumor cell villages define the co-dependency of tumor and microenvironment in liver cancer

Spatial cellular context is crucial in shaping intratumor heterogeneity. However, understanding how each tumor establishes its unique spatial landscape and what factors drive the landscape for tumor fitness remains significantly challenging. Here, we analyzed over 2 million cells from 50 tumor biospecimens using spatial single-cell imaging and single-cell RNA sequencing. We developed a deep learning-based strategy to spatially map tumor cell states and the architecture surrounding them, which we referred to as Spatial Dynamics Network (SDN). We found that different tumor cell states may be organized into distinct clusters, or villages, each supported by unique SDNs. Notably, tumor cell villages exhibited village-specific molecular co-dependencies between tumor cells and their microenvironment and were associated with patient outcomes. Perturbation of molecular co-dependencies via random spatial shuffling of the microenvironment resulted in destabilization of the corresponding villages. This study provides new insights into understanding tumor spatial landscape and its impact on tumor aggressiveness.

cancer biology↗