Biology subjects

Bermudez, A.

Publications and source records attributed to Bermudez, A..

12 recordsLinked to original sources

bioRxiv2026

Human organoid screen links transient translational modulation to progenitor progression in corticogenesis

Human pluripotent stem cell-derived models are increasingly used to recapitulate aspects of human corticogenesis, including the emergence of diverse cortical cell types and their progression through developmental states. These systems offer an opportunity to dissect the molecular mechanisms regulating transitions between cell states, but methods for perturbing them systematically at scale remain limited. Here, we developed a semi-automated culture and high-throughput arrayed screening platform for human cortical organoids. Using a library of 1,280 small molecules designed to systematically target major signaling and regulatory pathways, we screened for modulators of EOMES, which encodes for the transcription factor TBR2, and identified Emetine, an inhibitor of translation elongation, as the top hit. The effect of Emetine on cortical cell-state progression was reproduced across human pluripotent stem cell lines, non-human primate cortical organoids, and primary human cortical tissue but not broadly across translation inhibitors. Moreover, transient exposure resulted in a shift from dividing radial glia towards cortical glutamatergic neurons. Mechanistically, nascent-proteome profiling revealed an early and coordinated remodeling of newly translated proteins that preceded detectable transcriptional changes, placing translational regulation upstream of the ensuing cell-state transition. Together, these findings highlight a role for specific translational inhibitors in promoting cortical cell-state progression and establish a scalable platform for systematic perturbation and discovery in human neural organoids.

neuroscience↗

bioRxiv2026

Synthesizing Mechanistic Hypotheses from Single-Cell Omics via Discretized Feature Attribution and Empirical Language Model Grounding

Single-cell multimodal omics offer unprecedented resolution of cellular networks, yet translating continuous computational attributions into structured, testable biological mechanisms remains a persistent bottleneck. To address this limitation, we introduce an analytical pipeline employing decision trees to discretize continuous neural network attributions into explicit regulatory thresholds. These boundaries then structurally constrain large language models, enabling them to integrate established literature with empirical data to synthesize context-specific hypotheses. Applying this continuous-to-discrete framework across sparse datasets yielded novel biological mechanisms. Specifically, the framework articulated a cytoskeletal gating hierarchy governing EGF-stimulated pathways, identified transcriptomic drivers of input resistance in cortical interneurons, and delineated translational logic predicting Ki-67 abundance within spatial transcriptomics. Retrospective benchmarking validated the frameworks capacity to autonomously reconstruct published regulatory logic. Supported by a locally deployable open-weight language model and a code-free interface, this approach establishes an auditable methodology to extract robust experimental hypotheses from high-dimensional single-cell data.

systems biology↗

bioRxiv2026

Cell jamming transition is regulated by mitochondrial pyruvate transport and endocytosis

Epithelial tissues undergo dynamic transitions between fluid-like collective motion and mechanically jammed states during development, injury repair, and disease progression. However, the cellular programs that drive these transitions and regulate collective behavior remain unclear. Using a controlled crowding model integrated with live-cell imaging and time-resolved multi-omics, we demonstrate that epithelial crowding triggers early metabolic changes characterized by increased mitochondrial pyruvate anaplerosis that precedes the jamming transition. Functional inhibition of mitochondrial pyruvate import is sufficient to sustain collective cell motility, impeding jamming transition in crowded cells. This unjammed state is driven by enhanced cytoskeletal remodeling and requires RhoA-myosin II activity. Mechanistically, we show that elevated cytoskeletal signaling promotes macropinocytic uptake, which serves as a required feedback loop to maintain motility. These findings identify mitochondrial pyruvate utilization as a key regulator that links metabolic remodeling to the endocytic control of epithelial fluidity.

cell biology↗

bioRxiv2026

Programmable artificial RNA condensates in mammalian cells

Artificial biomolecular condensates have emerged as powerful tools to control cellular behaviors. Here we introduce a method to build artificial condensates within living mammalian cells through the design of modular RNA motifs formed by a single, short strand of RNA. These condensates emerge spontaneously, creating RNA-rich compartments that remain separated from their surrounding environment. The RNA sequences include stem-loop domains that fold as the RNA is transcribed, and then condense in the nucleus and cytoplasm through loop-loop interactions. These sequences can be optimized and diversified, enabling the generation of distinct, non-mixing condensate populations and the programmable control of their subcellular localization. The RNA motifs can also be modified to recruit small molecules, proteins, and RNA molecules in a sequence-specific manner to the RNA-rich phase. By introducing additional RNAs that link two distinct types of condensates, we can create droplets with multiple subcompartments, whose organization can be controlled by tuning the stoichiometry of different RNA sequences. These artificial condensates provide a versatile platform for studying and manipulating molecular functions inside living cells.

synthetic biology↗

bioRxiv2026

Mechanistic Language Modeling and Oxygenated 3D Screening Reveal Berberine and Enzalutamide Synergy in Resistant Prostate Cancer

Resistance to androgen receptor inhibitors remains a primary challenge in prostate cancer treatment, yet identifying synergis-tic co-therapies is hindered by immense combinatorial search spaces and the limited interpretability of predictive computation models. Here, we developed an integrated discovery-validation axis coupling knowledge-augmented large language models with oxygen-supplemented 3D spheroid assays. By leveraging inherent model stochasticity, our framework measures the degree of consensus across independent predictions to establish a formal metric for predictive accuracy. This principle enables high-throughput assessment of complex signaling crosstalk, yielding mechanistic rationales for all predictions and defining a high-confidence zone that minimizes experimental attrition. Utilizing this approach to screen 3,592 natural products, we identified a previously unrecognized synergy between berberine and enzalutamide that re-sensitizes resistant cells. Validation confirms that berberine perturbs the PI3K/AKT/mTOR and AMPK axes, a finding consistent with the mechanistic rationales computationally derived by the framework. Integrating interpretable AI with physiologically relevant 3D screening provides a scalable methodology for the rational discovery of synergistic therapies. SignificanceIntegrating mechanistic AI with oxygenated 3D screening, we identify a novel berberine-enzalutamide synergy. This framework resolves complex signaling dependencies, providing a scalable, transparent methodology for the rational discovery of effective combination therapies.

bioengineering↗

bioRxiv2025

Fluid shear stress promotes glial-mediated neurotoxicity in vitro via purinergic signaling

Interstitial fluid flow plays a critical role in maintaining function and homeostasis in neural tissue, and dysregulation of this flow due to injury or disease results in mechanical stress that is associated with several neuropathologies, including traumatic brain injury, ischemic stroke, and glioma. Glial cells such as astrocytes and microglia are known to respond to mechanical forces like fluid shear stress but the impact of this stress on their functionality and any subsequent impact on neurons remains poorly defined. To investigate how pathologically high fluid shear stress modulates astrocyte and microglia function and to determine whether glial responses to fluid shear influence neuronal survival and morphology, we applied low pathological levels of fluid shear stress (0.1 dynes/cm2) to cultured human astrocytes and microglia and assessed functional changes including metabolic activity, metabolite release, lipid droplet accumulation, and phagocytic activity. Conditioned media from these glia were then applied to differentiated SH-SY5Y neurons to evaluate effects on cell survival and neurite outgrowth. We then focused on identifying the soluble factor mediating the observed neurotoxicity. We found that fluid shear stress promotes distinct functional responses in astrocytes and microglia, including increased metabolic activity in astrocytes, increased lipid droplet accumulation in microglia, and heightened release of extracellular ATP in both cell types. Exposure to shear-conditioned glial media significantly reduced neuronal survival and neurite length. This neurotoxic effect was abolished by activated charcoal filtration but not by boiling and was prevented through P2x7 receptor inhibition in neurons, suggesting extracellular ATP as a causative agent. These findings indicate that high fluid shear stress promotes glial-mediated neurotoxicity via purinergic signaling. This study helps to characterize glial-neuronal mechanobiological interaction in the context of neuropathology and provides support for targeting purinergic signaling pathways as a therapeutic approach for neuropathologies associated with altered interstitial fluid flow. Statement of significanceGlial cells, until recently merely considered to support neurons, are now known to play critical roles in neural tissue development and function. Astrocytes and microglia play diverse roles in the central nervous system, adopting phenotypes that both promote and resolve pathology. Within brain tissue, disruptions to interstitial fluid flow are associated with brain injury, ischemic stroke, and glioma. This study identifies fluid shear stress as a modulator of glial cell function with downstream neurotoxic consequences. Namely, we found that increased release of extracellular ATP by glial cells under high shear promotes neurotoxicity via P2x7 receptor signaling. These findings help to characterize mechanobiological glial-neuronal communication and lend support for the therapeutic efficacy of P2x7 receptor inhibition in the treatment of neuropathology.

bioengineering↗

bioRxiv2025

A Microneedle Device for Rapid Dermal Interstitial Fluid Sampling

Dermal interstitial fluid (ISF) offers a promising alternative to invasive blood tests and opportunities for novel skin diagnostics. Progress in both the understanding and adoption of ISF tests is hindered by sampling challenges, including lengthy collection times, non-negligible failure rates, variable collection volumes, and inconsistent bioanalyte levels. The causes of many of these issues are not well understood. We demonstrate a microneedle device that is several times faster than state-of-the-art, collecting an average of 15.5 mg of ISF in 5 minutes in humans with near-zero failure rate. This improvement was achieved by designing the spatial pressure gradient driving ISF flow. The influence of penetration depth, collection time, pressure, and age on ISF collection was elucidated, with Darcys law explaining multiple observations. A data-driven acceptance criterion of <1% blood contamination for ISF is proposed. The device and findings presented will empower researchers to better conduct robust studies in the development of ISF diagnostics.

bioengineering↗

bioRxiv2024

An Open-Source Membrane Stretcher for Simultaneous Mechanical and Structural Characterizations of Soft Materials and Biological Tissues

The ability to simultaneously measure material mechanics and structure is central for understanding their nonlinear relationship that underlies the mechanical properties of materials, such as hysteresis, strain-stiffening and -softening, and plasticity. This experimental capability is also critical in biomechanics and mechanobiology research, as it enables direct characterizations of the intricate interplay between cellular responses and tissue mechanics. Stretching devices developed over the past few decades, however, do not often allow simultaneous measurements of the structural and mechanical responses of the sample. In this work, we introduce an open-source stretching system that can apply uniaxial strain at a submicron resolution, report the tensile force response of the sample, and be mounted on an inverted microscope for real-time imaging. Our system consists of a pair of stepper-based linear motors that stretch the sample symmetrically, a force transducer that records the sample tensile force, and an optically clear sample holder that allows for high-magnification microscopy. Using polymer samples and cellular specimens, we characterized the motion control accuracy, force measurement robustness, and microscopy compatibility of our stretching system. We envision that this uniaxial stretching system will be a valuable tool for characterizing soft and living materials.

bioengineering↗

bioRxiv2024

Regulation of Chromatin Modifications through Coordination of Nucleus Size and Epithelial Cell Morphology Heterogeneity

Cell morphology heterogeneity is pervasive in epithelial collectives, yet the underlying mechanisms driving such heterogeneity and its consequential biological ramifications remain elusive. Here, we observed a consistent correlation between the epithelial cell morphology and nucleus morphology during crowding, revealing a persistent log-normal probability distribution characterizing both cell and nucleus areas across diverse epithelial model systems. We further showed that this morphological diversity arises from asymmetric partitioning during cell division. Moreover, we provide insights into the impact of nucleus morphology on chromatin modifications. We demonstrated that constraining nucleus leads to downregulation of the euchromatic mark H3K9ac and upregulation of the heterochromatic mark H3K27me3. Furthermore, we showed that nucleus size regulates H3K27me3 levels through histone demethylase UTX. These findings highlight the significance of cell morphology heterogeneity as a driver of chromatin state diversity, shaping functional variability within epithelial tissues.

biophysics↗

bioRxiv2024

Image-based Strain Analysis Reveals Intracellular Strain Controlled by Nucleo-Cytoskeletal Coupling

Cells can sense and transduce mechanical forces, such as stretching, and convert these signals into diverse cell biological events. While much effort has been devoted to identifying the downstream biochemical and cellular responses, it is equally crucial to pinpoint the mechanical stimuli within a cell driving these responses. Specifically, much remains unknown about how intracellular strains are distributed and controlled during mechanical deformation. In this study, we developed a microscopy-based intracellular strain measurement technique. Utilizing the intrapopulation mechanical heterogeneity of epithelial monolayers, we observed an inverse relationship between cytoplasmic and nuclear strains. We found that this anti-correlation is abolished by the inhibition of Linker of Nucleoskeleton and Cytoskeleton (LINC) complex, suggesting that nucleo-cytoskeletal coupling controls intracellular strain distribution. We discovered a direct connection between cytoplasmic strain and stretch-induced nucleus size changes, implying that molecular events arising from cytoplasmic deformation may drive nuclear remodeling during stretching. By conducting multivariable analyses, we found that the intracellular strain can be inferred from cell morphology. Overall, our experimental platform and findings provide a foundation for unraveling the relationship between mechanotransduction pathways and upstream intracellular strain. SIGNIFICANCEMechanical stimuli exert influence on epithelial cells, not only orchestrating embryogenesis and regeneration, but also regulating cancer progression and inflammatory conditions. Despite efforts to identify mechanically activated molecular events, understanding how deformation is distributed within cells to induce subcellular responses remains limited. Specifically, the control of subcellular strain distribution during mechanical stretch is unclear. In this study, we developed a microscopy-based method to measure subcellular strain and observed an inverse relationship between cytoplasmic and nuclear strains. Disrupting nucleo-cytoplasmic coupling abolished this relationship, suggesting its role in controlling strain distribution. Additionally, we found that cytoplasmic strain correlates with nucleus size changes during stretching, indicating cytoplasmic events influence nucleus remodeling.

biophysics↗

bioRxiv2022

Lineage plasticity in SCLC generates non-neuroendocrine cells primed for vasculogenic mimicry

IntroductionVasculogenic mimicry (VM), the process of tumor cell trans-differentiation to endow endothelial-like characteristics supporting de novo vessel formation, is associated with poor prognosis in several tumor types, including small cell lung cancer (SCLC). In genetically engineered mouse models (GEMMs) of SCLC, NOTCH and MYC co-operate to drive a neuroendocrine (NE) to non-NE phenotypic switch and co-operation between NE and non-NE cells is required for metastasis. Here, we define the phenotype of VM-competent cells and molecular mechanisms underpinning SCLC VM using circulating tumor cell-derived explant (CDX) models and GEMMs. MethodsWe analysed perfusion within VM vessels and their association with NE and non-NE phenotypes using multiplex immunohistochemistry in CDX and GEMMs. VM-proficient cell subpopulations in ex vivo cultures were molecularly profiled by RNA sequencing and mass spectrometry. We evaluated their 3D structure and defined collagen-integrin interactions. ResultsWe show that VM vessels are present in 23/25 CDX models and in 2 GEMMs. Perfused VM vessels support tumor growth and only Notch-active non-NE cells are VM-competent in vivo and ex vivo, expressing pseudohypoxia, blood vessel development and extracellular matrix (ECM) organization signatures. On Matrigel, VM-primed non-NE cells re-model ECM into hollow tubules in an integrin {beta}1-dependent process. ConclusionsWe identify VM as an exemplar of functional heterogeneity and plasticity in SCLC and these findings take significant steps towards understanding the molecular events that enable VM. These results support therapeutic co-targeting of both NE and non-NE cells to curtail SCLC progression and to improve SCLC patient outcomes in future.

cancer biology↗

bioRxiv2021

Multi-Omics Analysis of Fibroblasts from the Invasive Tumor Edge Reveals that Tumor-Stroma Crosstalk Induces O-glycosylation of the CDK4-pRB Axis

The invasive leading edge represents a potential gateway for tumor invasion. We hypothesize that crosstalk between tumor and stromal cells within the tumor microenvironment (TME) results in the activation of key biological pathways depending on their location in the tumor (edge vs core). Here, we highlight phenotypic differences between Tumor-Adjacent-Fibroblasts (TAFs) from the invasive edge and Cancer-Associated Fibroblasts (CAFs) from the tumor core, established from human lung adenocarcinomas. We use an innovative multi-omics approach that includes genomics, proteomics and, O-glycoproteomics to characterize crosstalk between TAFs and cancer cells. Our analysis shows that O-glycosylation, an essential post-translational modification resulting from sugar metabolism, alters key biological pathways including the CDK4-pRB axis in the stroma, and indirectly modulates pro-invasive features of cancer cells. In summary, aside from improving the efficacy of CDK4 inhibitors anti-cancer agents, the O-glycoproteome poses a new consideration for important biological processes involved in tumor-stroma crosstalk.

cancer biology↗