Biology subjects

Moreno, N.

Publications and source records attributed to Moreno, N..

At least 19 recordsLinked to original sources

bioRxiv2026

A distributed pallial circuit links sensory and bodily representations to aversive motivational value in the goldfish dorsomedial pallium

Understanding how neural circuits transform sensory and bodily signals into motivational states and adaptive behavior is a central problem in neuroscience. In teleost fish, the dorsomedial telencephalon (Dm) is a key pallial region implicated in both sensory processing and aversive behavior, yet whether these functions arise from a functionally uniform region or from interactions among specialized pallial domains has remained unknown. Here we show that the teleost dorsomedial telencephalon exhibits a previously unrecognized functional organization in which distinct but interconnected pallial domains perform complementary computations that progressively transform multimodal sensory and bodily representations into aversive motivational value and adaptive behavioral control. Wide-field voltage-sensitive dye imaging revealed that tactile, auditory, and gustatory stimuli evoke spatially organized, modality-specific activity exclusively within the caudal subdivision of Dm (Dmc), whereas the rostral subdivision (Dmr) showed little or no sensory responsiveness. In contrast, focal intracerebral microstimulation demonstrated that activation of Dmr, but not Dmc, is sufficient to generate robust, flexible, and reversible conditioned place avoidance, identifying Dmr as a pallial node causally involved in the assignment of negative motivational value. Anatomical tracing revealed a circuit in which sensory and bodily-related inputs converge onto Dmc, are relayed intrapallially to Dmr, where they are transformed into an aversive motivational signal before being conveyed to hypothalamic and brainstem centers involved in autonomic and behavioral regulation. Immunohistochemical analyses confirmed the pallial identity of both subdivisions and their distinct rostrocaudal organization, while providing no evidence that Dm corresponds to a classical pallial amygdaloid territory. This functional architecture more closely resembles the distributed organization of mammalian corticolimbic networks than either a unitary pallial amygdala or a neocortical sensory hierarchy, suggesting that the transformation of sensory and bodily representations into motivational control may represent a conserved organizational feature of the pallium that emerged early during vertebrate evolution. Short abstract / Significance statementThis study shows that the teleost dorsomedial pallium is organized into complementary functional domains that dissociate multimodal sensory representation from negative motivational processing while forming an interconnected pallial circuit associated with adaptive behavioral control. Our findings reveal a distributed pallial organization resembling mammalian corticolimbic architectures and provide a new framework for understanding the evolution of vertebrate pallial function.

neuroscience↗

bioRxiv2026

Domain-specific proteome remodeling defines mouse myelin aging

Myelin, once regarded as a static insulating structure, is now recognized as a dynamic component of the nervous system, capable of remodeling in response to experience. Its breakdown is linked to cognitive decline and neurodegenerative diseases, often preceding neuronal dysfunction. While the myelin proteome has been studied, the age- and sex-related changes it undergoes remain poorly understood. In this study, we purified myelin proteins from young, middle-aged, and aged male and female mice. Using mass spectrometry-based proteomics, we identified 4,095 unique proteins in males and 3,931 in females, with roughly 30% showing significant age-related changes in both sexes. We find an age-related increase in compact myelin structural proteins, such as MBP, MOBP, and CLDN11, and a selective vulnerability in non-compact myelin cytoskeletal proteins, such as SEPTIN2, SEPTIN8, and OPALIN. Notably, disease-associated proteins previously characterized in single-cell transcriptomics appear at the protein level in aged myelin. To firmly distinguish between proteins derived from oligodendrocytes and other cell types in vivo we labeled nascent oligodendrocyte proteins with bio-orthogonal non-canonical amino acid tagging (BONCAT). We discovered a dramatic age-related increase in lysosomal and vesicle-associated proteins, while translation and synaptic proteins decrease in myelin with age in both sexes. This dataset highlights molecular mechanisms underlying the loss of myelin integrity and function with age and provides a novel tool for studying oligodendrocyte-derived nascent proteins in vivo.

neuroscience↗

bioRxiv2026

Rheostatic Network Consolidation Drives Physical Aging in Biomolecular Condensates

While the physical aging of biomolecular condensates into macroscopic glasses is heavily linked to pathological disease states, the nanoscale topological rules governing this non-equilibrium relaxation remain elusive. Using heterotypic -synuclein-Tau coacervates, we combine variable-stringency dissolution and FLIM-FRET to provide direct experimental mapping of the internal network reorganization over time. Rather than a passive, isotropic kinetic jamming event typical of classic glasses, we demonstrate that this physical aging is driven by continuous rheostatic network consolidation; a progressive, directed topological relaxation toward deeper free-energy minima powered by the cooperative spatial optimization of sticker motifs. We formalize these dynamics into a mesoscale series-resistance model derived from size-resolved kinetics, proving that thermodynamic quench depth dictates the initial network state while clustered sticker patterning introduces configurational frustration that kinetically stalls maturation to preserve liquidity. This multi-scale framework links sequence grammar to non-equilibrium transport laws, revealing how biomolecular assemblies navigate the boundary between physiological utility and pathological arrest.

biophysics↗

bioRxiv2026

Branch-specific axon pruning induced by Dpr4/DIP-{Theta} transneuronal interactions

Neuronal remodeling is a conserved, late developmental mechanism to refine neural circuits. Although remodeling typically occurs with remarkable spatiotemporal precision, its underlying molecular mechanisms remain poorly understood. In the Drosophila mushroom body (MB) circuit, {gamma}-Kenyon cells ({gamma}-KCs) undergo stereotyped remodeling during metamorphosis, in which they prune their larval vertical and medial axonal branches and subsequently regrow a medial, adult-specific branch. Our previous transcriptional profiling of developing {gamma}-KCs revealed dynamic expression of Defective proboscis extension response (Dpr) proteins and their binding partners, Dpr-interacting proteins (DIPs), members of the Immunoglobulin (Ig) superfamily. Despite their established roles in neurodevelopment, how Dpr/DIPs function - given their lack of intracellular domains - remains unclear. Here, we show that overexpression of Dpr4 in developing {gamma}-KCs cell-autonomously inhibits axon pruning. Strikingly, this effect is branch-specific: the vertical axonal branch fails to prune, while the medial branch prunes normally. To our knowledge, this represents the first demonstration of branch-specific control of pruning in this system. Moreover, the adult medial branch regrows normally, indicating that pruning and regrowth are independently regulated at the level of individual branches. We demonstrate that this unique branch-specificity arises from trans-neuronal interactions between Dpr4 in {gamma}-KCs and DIP-{theta} in dopaminergic neurons that selectively innervate the vertical larval MB lobe. Furthermore, our findings suggest that this phenotype relies on an Ig2 domain of a Dpr family member, implying the involvement of a third binding partner. Leveraging this robust overexpression phenotype to probe downstream mechanisms, we find that loss of the transmembrane adhesion protein N-Cadherin suppresses the Dpr4-induced pruning defect. Together, our findings highlight the local impact of Dpr/DIP-mediated trans-neuronal interactions on the spatial regulation of remodeling, and provide genetic evidence implicating N-Cadherin as a potential downstream mediator of Dpr/DIP function within a developing neural circuit.

neuroscience↗

bioRxiv2025

Enhanced muscle uptake of chemically optimized miR-23b antisense oligonucleotides as lead compounds for Myotonic Dystrophy type 1

Myotonic dystrophy type 1 (DM1) is a multisystemic disorder caused by CTG repeat expansions in DMPK. Mutant transcripts containing expanded CUG repeats form ribonuclear foci that sequester muscleblind-like splicing regulator (MBNL) proteins, key regulators of RNA splicing and metabolism. This functional depletion leads to widespread mis-splicing and persistence of fetal transcript profiles, which underlie muscle weakness, myotonia, and muscle atrophy. In addition, miR-23b is upregulated in DM1 muscle and further represses MBNL1 translation, amplifying molecular defects. We developed chemically optimized miRNA-targeting antisense oligonucleotides (antimiRs) to inhibit miR-23b and restore functional MBNL1 levels. Using a multi-step screening process, we evaluated antimiRs with varying sequences, lengths, chemical modifications, and lipid conjugations. A key optimization was a 3-oleic acid conjugation combined with specific chemical modifications, which enhanced muscle uptake and efficacy. Lead candidates showed strong activity in preclinical models (HSALR and DMSXL mice, and human myoblasts), increasing MBNL1 levels, correcting mis-splicing, improving muscle strength, and reducing myotonia. They also exhibited efficient biodistribution to skeletal muscle, a critical DM1-affected tissue. In vitro toxicology indicated a favorable safety profile with minimal immune or renal toxicity. The antimiR mechanism was conserved in rat and pig fibroblasts. Overall, two lead antimiRs emerged as promising therapeutic candidates for DM1, with improved pharmacokinetics, tissue targeting, and safety, supporting the potential of microRNA-based approaches to correct key molecular defects in this disorder.

genetics↗

bioRxiv2025

Mesoscale Transport of Enveloped Viruses

Enveloped viruses are characterized by spike proteins that protrude from and decorate the viral membrane. These proteins play a crucial role in host cell interactions and exhibit dynamic behaviors, such as tilting, sliding, and clustering, which vary across different types of enveloped viruses. For instance, SARS-CoV-2 spikes tilt to facilitate receptor binding, Influenza spikes migrate during infection, and HIV spikes migrate and cluster to enhance infectivity. In this study, we investigate how such dynamics influence the virus mobility. We characterize viral mobility through translational and rotational diffusion coefficients using a mesoscopic model that incorporates the dynamics of both the flexible spike proteins and the viral envelope. Using the smoothed dissipative particle dynamics (SDPD) method, we construct three virion models with varying spike flexibility. The first is a fully rigid virus with static spikes, the second is a model with spikes that tilt but remain fixed in position, and the third is a model allowing both tilting and sliding of spikes across the envelope. Our results show that spike flexibility primarily affects rotational diffusion, whereas the envelope dominates translational mobility of the virus. We also explore spike clustering driven purely by hydrodynamic interactions and compare with an experimental model reference using DNA-PAINT super-resolution imaging of HIV-like particles. We identify that hydrodynamic interactions alone can be responsible for dynamic clustering of spike proteins. Where, the characteristic size and lifespan of such clusters indicate predominantly doublets and triplets formations. Our findings highlight the role of spike dynamics in whole virion mobility, and motivate further investigations with time-resolved experimental evidence to fully characterize clustering behavior.

biophysics↗

bioRxiv2024

Aggregation and disaggregation of red blood cells: depletion versus bridging

The aggregation of red blood cells (RBCs) is a complex phenomenon that strongly impacts blood flow and tissue perfusion. Despite extensive research for more than 50 years, physical mechanisms that govern RBC aggregation are still under debate. Two proposed mechanisms are based on bridging and depletion interactions between RBCs due to the presence of macromolecules in blood plasma. The bridging hypothesis assumes the formation of bonds between RBCs through adsorbing macromolecules, while the depletion mechanism results from the exclusion of macromolecules from the inter-cellular space, leading to effective attraction. Existing experimental studies generally cannot differentiate between these two aggregation mechanisms, though several recent investigations suggest concurrent involvement of the both mechanisms. We explore dynamic aggregation and disaggregation of two RBCs using three simulation models: a potential-based model mimicking depletion interactions, a bridging model with immobile bonds, and a new bridging model with mobile bonds which can slide along RBC membranes. Simulation results indicate that dynamic aggregation of RBCs primarily arises from depletion interactions, while disaggregation of RBCs involves both mechanisms. The bridging model with mobile bonds reproduces well the corresponding experimental data, offering insights into the interplay between bridging and depletion interactions and providing a framework for studying similar interactions between other biological cells.

biophysics↗

bioRxiv2024

Multi-omics identification of extracellular components of the fetal monkey and human neocortex.

During development, precursor cells are continuously and intimately interacting with their extracellular environment, which guides their ability to generate functional tissues and organs. Much is known about the development of the neocortex in mammals. This information has largely been derived from histological analyses, heterochronic cell transplants, and genetic manipulations in mice, and to a lesser extent from transcriptomic and histological analyses in humans. However, these approaches have not led to a characterization of the extracellular composition of the developing neocortex in any species. Here, using a combination of single-cell transcriptomic analyses from published datasets, and our proteomics and immunohistofluorescence analyses, we provide a more comprehensive and unbiased picture of the early developing fetal neocortex in humans and non-human primates. Our findings provide a starting point for further hypothesis-driven studies on structural and signaling components in the developing cortex that had previously not been identified.

neuroscience↗

bioRxiv2024

Mesoscale Modelling of Fibrin Clots: The Interplay between Rheology and Microstructure at the Gel Point

This study presents a numerical model for incipient fibrin-clot formation that captures characteristic rheological and microstructural features of the clot at the gel point. Using a mesoscale-clustering framework, we evaluate the effect of gel concentration or gel volume fraction and branching on the fractal dimension, the gel time, and the viscoelastic properties of the clots. We show that variations in the gel concentration of our model can reproduce the effect of thrombin in the formation of fibrin clots. In particular, the model reproduces the fractal dimensions dependency on gel concentration and the trends in elasticity and gelation time with varying thrombin concentrations. This approach allows us to accurately recreate the gelation point of fibrin-thrombin gels, highlighting the intricate process of fibrin polymerization and gel network formation. This is critical for applications in the clinical and bioengineering fields where precise control over the gelation process is required.

biophysics↗

bioRxiv2024

Neural Basis of Number Sense in Larval Zebrafish

Number sense, the ability to discriminate discrete quantity, is widespread across animals, yet how this capacity develops remains unknown. Using two-photon light-sheet imaging, we recorded whole-brain activity at single-cell resolution in larval zebrafish (Danio rerio) exposed to controlled visual numerosity stimuli. We discovered that number-selective neurons emerge in a striking developmental sequence: cells tuned to numerosity 1 are already present at 3 days post-fertilization (dpf), and neurons selective for 2, 3, and higher quantities appear in increasing abundance later, at 5 and 7 dpf, accompanied by a relative reduction in 1-tuned cells. The proportion of number-selective cells, summed over all tested numerosities, relative to all identified neurons in the brain, was found to decrease over time. We further showed that a machine-learning decoder based on the activity of the number-selective neurons can predict the number stimulus seen by the animals with accuracies at better than twice chance level. These results reveal how neuronal circuits develop structured numerical codes and provide a framework for studying the emergence of cognitive primitives at cellular resolution.

neuroscience↗

bioRxiv2024

Upregulation of FasII underlies synergistic neuropathological and behavioral defects in a Drosophila model of myotonic dystrophy

Myotonic dystrophy type 1 (DM1) is a multisystemic disorder that has been extensively studied for decades, yet our understanding of its neuropathological aspect remains rudimentary. In this study, we characterized a novel model of DM1 neuropathology by expressing untranslated expanded CUG repeats at the Drosophila larval neuromuscular junction. In this model, both pre- and postsynaptic expression of CUG repeats participate to induce reduction of synaptic boutons, increase of arbor disassembly and impairment of larval locomotor activity. We found that the expression of CUG repeats caused an upregulation of the cell adhesion molecule, FasII (NCAM1 in mammals), in both the motor neurons and the body wall muscles. Knockdown of fasII was sufficient to rescue bouton numbers and locomotor impairment in this model. Further analyses identified the upregulation of the FasII-C isoform as a major contributor of these phenotypes. Remarkably, overexpressing the FasII-A-PEST+ isoform rescued the synaptic and behavioral defects, likely by outcompeting the upregulated FasII-C. Our study provided the foundation for a basic mechanism of synapse dysregulation in DM1.

neuroscience↗

bioRxiv2024

Sex differences in early human fetal brain development

The influence of sex chromosomes and sex hormones on early human brain development is poorly understood. We therefore undertook transcriptomic analysis of 46,XY and 46,XX human brain cortex samples (n=64) at four different time points between 7.5 and 17 weeks post conception (wpc), in two independent studies. This developmental period encompasses the onset of testicular testosterone secretion in the 46,XY fetus (8wpc). Differences in sex chromosome gene expression included X-inactivation genes (XIST, TSIX) in 46,XX samples; core Y chromosome genes (n=18) in 46,XY samples; and two Y chromosome brain specific genes, PCDH11Y and RP11-424G14.1. PCDH11Y (protocadherin11 Y-linked) regulates excitatory neurons; this gene is unique to humans and is implicated in language development. RP11-424G14.1 is a novel long non-coding RNA. Fewer differences in sex hormone pathway-related genes were seen. The androgen receptor (AR, NR4A2) showed cortex expression in both sexes, which decreased with age. Global cortical sex hormone effects were not seen, but more localized AR mechanisms may be important with time (e.g., hypothalamus). Taken together, our data suggest that limited but potentially important sex differences occur during early human fetal brain development.

developmental biology↗

bioRxiv2023

Mapping the anatomical and transcriptional landscape of early human fetal ovary development

The complex genetic mechanisms underlying human ovary development can give rise to clinical phenotypes if disrupted, such as Primary Ovarian Insufficiency and Differences of Sex Development. Through a clinically-focused lens, we combine single-nuclei RNA sequencing, bulk RNA sequencing, and micro-focus computed tomography to elucidate the anatomy and transcriptional landscape of the human fetal ovary across key developmental timepoints (Carnegie Stage 22 until 20 weeks post conception). We show the marked growth and distinct morphological changes within the fetal ovary at the critical timepoint of germ cell expansion, and demonstrate that the fetal ovary becomes more transcriptomically distinct from the testis with age. We describe novel ovary developmental pathways, relating to neuroendocrine signalling, energy homeostasis, mitochondrial networks, piRNA processes, and inflammasome regulation. We define transcriptional regulators and candidate genes for meiosis within the developing ovary. Together, this work advances our fundamental understanding of human ovary development and clinical ovarian insufficiency phenotypes.

genomics↗

bioRxiv2023

Computational Mesoscale Framework for Biological Clustering and Fractal Aggregation

Complex hierarchical clustering mediated by diffusion and reaction is ubiquitous to many naturally occurring phenomena. The aggregates typically exhibit a fractal behavior or non-integer size scaling compared to their intrinsic dimensionality (2 - 3 dimensions). Such fractal aggregates have attracted attention in studying biological (i.e. bronchi and nervous system morphogenesis, blood clotting) and synthetic (i.e. colloids, polymers, catalysts, nano-dendrites, multicellular organisms) systems. In general, biological clustering can occur on a wide range of spatial/temporal scales, and depending on the type of interactions, multiple mechanisms (or stages) can be involved. As a consequence, the modeling of biological clustering is typically a challenging task, requiring the use of a variety of methods to capture the characteristic behavior of specific biological systems. Herein, we proposed a generalized-mesoscale-clustering (GMC) framework that incorporates hydrodynamic interactions, bonding, and surface tension effects. This framework allows for studying both static and dynamic states of cluster development. We showcase the framework using a variety of biological clustering mechanisms, and further illustrate its versatility to model different scales, focusing on blood-related clustering ranging from fibrin network formation to platelet aggregation. Besides the introduction of the mesoscale clustering framework, we show that a single biomarker (such as fractal dimension) is insufficient to fully characterize and distinguish different cluster structures (morphologies). To overcome this limitation, we propose a comprehensive characterization that relates the structural properties of the cluster using four key parameters, namely the fractal dimension, pore-scale diffusion, as well as the characteristic times for initiation and consolidation of the cluster. Additionally, we show that the GMC framework allows tracking of bond density providing another biomarker for cluster temporal evolution and final steady-state. Furthermore, this feature and built-in hydrodynamics interactions offer the potential to investigate cluster mechanical properties in a variety of biological systems.

biophysics↗

bioRxiv2022

A cell atlas of human adrenal cortex development and disease

The adrenal glands synthesize and release essential steroid hormones such as cortisol and aldosterone, but the mechanisms underlying human adrenal gland development are not fully understood. Here, we combined single-cell and bulk RNA-sequencing, spatial transcriptomics, immunohistochemistry and micro-focus computed tomography to investigate key aspects of adrenal development in the first 20 weeks of gestation. We demonstrate rapid adrenal growth and vascularization, with cell division in the outer definitive zone (DZ). Steroidogenic pathways favor androgen synthesis in the central fetal zone (FZ), but DZ capacity to synthesize cortisol and aldosterone develops with time. Core transcriptional regulators were identified, with a role for HOPX in the DZ. Potential ligand- receptor interactions between mesenchyme and adrenal cortex were seen (e.g., RSPO3/LGR4). Growth-promoting imprinted genes were enriched in the developing cortex (e.g. IGF2, PEG3). These findings reveal new aspects of human adrenal development, and have clinical implications for understanding primary adrenal insufficiency and related postnatal adrenal disorders, such as adrenal tumor development, steroid disorders and neonatal stress.

developmental biology↗

bioRxiv2022

Cancer prevalence is remarkably low in turtles and is correlated with life history traits in birds, mammals, and squamates

Identifying species with unusually low cancer prevalence can provide new insights into cancer resistance. Most studies have focused on mammals, but the genetic, physiological, and ecological diversity among vertebrates can influence cancer susceptibility. We used necropsies from over a thousand species of amphibians, birds, crocodilians, mammals, squamates, and turtles to investigate relationships between cancer prevalence, intrinsic cancer risk, body mass, and lifespan. Previous studies often relied on species averages, leading to inaccurate interpretations. Our innovative statistical approach uses raw cancer data and resampling to improve accuracy. We found remarkably low cancer prevalence in turtles, high prevalence in squamates and mammals, and lower-than-expected prevalence based on lifespan and body mass in multiple groups. Our results show lifespan influences neoplasia and malignancy transformation rates in mammals, while body mass affects neoplasia prevalence in amphibians and squamates. These data reveal a complex relationship between life history traits and cancer risk, identifying vertebrates with potential novel cancer resistance mechanisms. STATEMENT OF SIGNIFICANCEBiodiversity is an untapped natural resource for understanding cancer. Our study reveals a wide divergence in cancer prevalence among vertebrate groups, with notably low rates in turtles and high rates in squamates and mammals. These findings can lead to new breakthroughs in understanding the biology of cancer.

evolutionary biology↗

bioRxiv2022

Hydrodynamics of spike proteins dictate a transport-affinity competition for SARS-CoV-2 and other enveloped viruses

Many viruses, such as SARS-CoV-2 or Influenza, possess spike-decorated envelopes. Depending on the virus type, a large variability is present in spikes number, morphology and reactivity, which remains generally unexplained. Since viruses transmissibility depend on features beyond their genetic sequence, new tools are required to discern the effects of spikes functionality, interaction, and morphology. Here, we postulate the relevance of hydrodynamic interactions in the viral infectivity of enveloped viruses and propose micro-rheological characterization as a platform for viruses differentiation. To understand how the spikes affect virion mobility and infectivity, we investigate the diffusivity of spike-decorate structures using mesoscopic-hydrodynamic simulations. Furthermore, we explored the interplay between affinity and passive viral transport. Our results revealed that the diffusional mechanism of SARS-CoV-2 is strongly influenced by the size and distribution of its spikes. We propose and validate a universal mechanism to explain the link between optimal virion structure and maximal infectivity for many virus families.

biophysics↗

bioRxiv2021

Hybridization and Low Genetic Diversity in the Endangered Alabama Red-Bellied Turtle (Pseudemys alabamensis)

Pseudemys alabamensis is one of the most endangered turtle species in the United States due to its small population size and restricted geographic distribution in coastal Alabama and Mississippi. Increased urbanization and climate change impacts in the region further threaten this species. Populations of P. alabamensis are geographically isolated from one another by land and salt water, which could act as barriers to intraspecific gene flow. It is currently unknown how differentiated these isolated populations are from one another or whether they have experienced reductions in population size. Previous work found morphological differences between Alabama and Mississippi populations, suggesting that they may be evolutionarily distinct. Other Pseudemys turtles such as P. concinna and P. floridana occur within the same geographic area as P. alabamensis and are known to hybridize with each other. These more abundant species could further threaten the unique genetic identity of P. alabamensis through introgression. In order to evaluate the endangered status of P. alabamensis and the level of hybridization with other species, we used the mitochondrial (mtDNA) control region and nuclear microsatellite markers to assess genetic variation within and among populations of this species throughout its range and estimate admixture with co-occurring Pseudemys species. Genetic diversity of P. alabamensis was lower than expected at both markers (no variation in mtDNA and excess of homozygosity in microsatellites). We found evidence of genetic differentiation between Alabama and Mississippi populations as well as two populations (Fowl River, Alabama and Biloxi, Mississippi) with low estimated breeding sizes and signs of inbreeding. Finally, we found evidence of admixture of P. alabamensis with P. concinna/P. floridana and Pseudemys peninsularis (a species not native to Alabama or Mississippi). Our results indicate that P. alabamensis is highly endangered throughout its range and threatened by both low population sizes and hybridization. In order to improve the species chances of survival, focus should be placed on habitat preservation, maintenance of genetic diversity within both Mississippi and Alabama populations, and regular population monitoring activities such as nest surveillance and estimates of recruitment.

evolutionary biology↗