Advanced Biology

Mechanotransduction via the actin cytoskeleton is linked to fundamental cellular processes such as morphogenesis, cell division, and motility, requiring the control of tensile forces mediated by the motor protein non-muscle myosin 2 (NM2). Formins such as mDia1 have been shown to elongate actin structures that are under mechanical tension; conversely, mDia1s elongation rates are modulated by the applied force. Despite their relevance at the membrane/cortex interface, reported values for tension in formin-elongated actin filaments stem from theoretical estimates and simulations, but have not been amenable experimentally so far. Thus, we developed a Forster resonance energy transfer (FRET)-based, tension-sensitive probe (mDia1TS) and quantified the measured tension in live U2OS cells using fluorescence lifetime imaging microscopy (FLIM). Through whole-cell ROI analysis we show a short and long lifetime component, reporting an intensity-weighted, averaged lifetime corresponding to [~]3.5 pN. Upon mitogen stimulation of cells using EGF, we show that the tension homeostasis changed significantly, with a measurable increase in tension in the cells periphery and relaxation in its center. Furthermore, the reported average tension relaxed by 2 pN after adding the NM2 inhibitor para-nitroblebbistatin. We utilized siRNA knockdowns of individual NM2 paralogs (NM2-A, NM2-B, or NM2-C) to measure their individual contribution, revealing NM2-A as the main paralog to produce tensile force in this system. Taken together, we demonstrate that mDia1TS is able to directly determine that active mDia1 in cells is under tension, and that subcellular quantification with pN precision is possible. SignificanceDespite the fundamental importance of formins in regulating actin-based processes, reported values for tension in formin-mediated actin structures stem from simulations and theoretical estimates. In this study we developed a FRET-based, tension-sensitive reporter probe for formin mDia1, which we termed mDia1TS. Given the expanding clinical spectrum of DIAPH1/mDia1 mutations, our tool mDia1TS provides a quantitative tool for elucidation of changes in cytoskeletal assemblies.

O_LIThe effect of some bioactive compounds on living organisms is dependent on their concentration and gradients, as is the case of hormones and signalling peptides, determining cell identity, activity and organism development. C_LIO_LIThere are a handful of methods that allow to produce spatially confined peaks of concentration local application of biochemicals on plants, such as agar blocks and microinjection, but they lack in precision, throughput and/or simplicity. C_LIO_LIWe developed the MicroTron, a microfluidics-based method specifically for filamentous organisms or life cycle stages, like the moss plant Physcomitrium patens protonemata, that serves as a platform for the application of chemicals on single cells and study the cell response. C_LIO_LIWe show how chemical applications could be performed on cells, either on the side or apically with dyes and hormones, targeting the cell wall, cell membrane, cytosol and nucleus. C_LIO_LITreatments could be applied on single filaments and with a precision of up to single cells in optimal conditions. C_LIO_LIThis method could be used to study live responses to chemicals with high spatiotemporal resolution. C_LI

SignificanceDigital Holographic Microscopy (DHM) provides label-free quantitative phase images (QPIs) of living cells and has become a powerful tool for studying cellular morphology and dynamics. While most DHM studies have focused on cell-level analysis, the quantitative characterization of neuronal network organization and maturation from DHM images remains largely unexplored, highlighting the need for dedicated computational approaches. AimWe aimed to develop an automated framework combining deep-learning-based image analysis and graph theory to quantitatively characterize the organization, connectivity, and maturation of neuronal networks in primary rat cortical cultures imaged by DHM. ApproachTwo U-Net convolutional neural networks were trained on manually annotated DHM phase images to segment neuronal cell bodies and neurites. The resulting segmentation maps were used to infer putative morphological connections between neurons and generate graph representations of neuronal networks, referred to as graph fingerprints. A panel of 18 connectomics-inspired graph features was then computed to characterize local and global properties of network organization across four stages of culture maturation. ResultsThe mean area under the receiver operating characteristic curves was 0.98 for cell-body and 0.91 for neurite segmentation, indicating near-perfect identification. Graph-theoretical analysis revealed reproducible topological changes during network maturation in vitro, including increased density, reduced modularity, and progressive network integration. Correlation analysis showed that the 18 graph features grouped into two highly correlated families. A Random Forest classifier identified density and modularity as the most informative descriptors, achieving an accuracy of 87% in classifying maturation stages of neuronal cultures. ConclusionsOur results demonstrate that combining DHM, deep-learning-based segmentation, and graphtheoretical analysis enables quantitative characterization of neuronal network organization and maturation from label-free phase images. This framework provides a foundation for future studies of pharmacological experiments, neuronal network phenotyping, and human induced pluripotent stem cell (hiPSC)-derived neuronal cultures, where quantitative assessment of network organization remains a major challenge.

Accurate evaluation of extracellular matrix (ECM) mineralization at the nano-scale is essential for establishing relevant in vitro bone models. This is particularly important with the development and increased application of three-dimensional (3D) cell models for biological research. Transmission electron microscopy (TEM) allows to perform ultra-structural analysis of cells and ECM organization, but its application in in vitro bone models remains limited, due to the potential alteration or loss of the mineral phase during sample preparation. In this study, we compared two TEM sample preparation methods - the conventional chemical fixation and the anhydrous methods - to evaluate their ability to preserve the mineralized ECM in MC3T3-E1 cells cultured as monolayers and as alginate-encapsulated bone spheroids. Chemical fixation preserved cellular ultra-structure and collagen organization, allowing for detailed assessment of cells and ECM organization. Although mineral deposits were detected and their needle-like morphology assessed, characterization of more immature deposits was partially limited by the effects of uranyl acetate and the overall sample preparation process, which could lead to alteration or loss of less stable mineral phases. The anhydrous preparation method resulted in limited preservation of cellular and ECM morphology and did not allow reliable identification of mineral deposits. When applied to spheroids, the chemical fixation method preserved the 3D architecture, collagen-rich ECM and inner mineral deposits, confirming spheroids as a relevant model for bone studies. Overall, these results highlight the need for optimized sample preparation strategies that preserve both ultra-structure and mineral components for accurate nano-scale characterization of bone mineralization.

Senescence human bone marrow mesenchymal stem cells (BMSCs), vulnerable to age-related defects, is poor in tissue regeneration. Cells in bone marrow accumulated senescent contributing to the development of metabolic energy regulation hold prospects for therapeutic advances. This study aimed to evaluate energy metabolic changes in male bone marrow mesenchymal stem cells senescence process. Our research established cell specific surface marker and enzymes expression level changes, as well as ECAR and OCR resonance. Notably, CD14, HLA-DRB1 and CD90 upregulated, glycolysis-related genes are increased, tricarboxylic acid cycle-related genes are decreased. We firstly identified links between time-dependent cell aging process and energy metabolism in BMSCs.

High content imaging is being applied to achieve quantitative fluorescence readouts in increasingly complex 3-dimensional (3D) cell culture models such as spheroids and organoids. Compared to conventional 2D assays, 3D assays better represent biological heterogeneity but require more complex sample preparation, 3D imaging and 3D image analysis that can affect the accuracy and precision of such assays. We used spheroids formed from the NRAS-activated melanoma cell line 19161 modified to express an ERK kinase translocation reporter (KTR) as an exemplar 3D phenotypic assay carried out in 96-well plates. The spheroids were treated with the ERK activator TPA and a range of concentrations of the MEK inhibitor Binimetinib. 3D live-cell imaging with sub-cellular spatial resolution was performed using a dual-view oblique plane microscope (dOPM) - a form of single-objective light-sheet microscope - and the experiment was performed separately at 4 different institutes. The results were analysed using an identical 3D analysis pipeline and parameters. We assessed the variation in assay readout using a linear mixed effects model. Random variance at the well level was negligible (SD = 0.0048 relative to range of KTR biosensor readout at reference site of 0.17), indicating low technical noise. Treatment effects were dose-dependent and highly statistically significant compared to DMSO control across all sites (Dunnett-corrected p < 0.001). The range in KTR readout between the minimum (3.5 M Binimetinib) and maximum (100 nM TPA) treatments varied between 59 to 96% relative to the reference site. Measured bias in KTR readout between sites was between 6 and 12% of the range of the reference site. This study quantifies the reproducibility of a 3D live spheroid-based assay employing a fluorescence biosensor requiring readout out at the per-cell level using the dOPM platform and discusses areas where experimental protocol could be improved in the future to further improve reproducibility.

Optogenetic control enables light-actuated regulation of gene expression and provides a programmable interface between living cells and electronic systems. However, routine prototyping of optogenetic constructs remains limited by infrastructure. Existing closed-loop platforms often require chemostats, microfluidics, robotic handling, or custom optical sensors, which can increase cost, reduce accessibility, or constrain measurement performance. Here, we present LEMOS 2.0, an updated LED-Embedded Microplate for Optogenetic Studies, a low-cost device for optogenetic stimulation and gene-circuit characterization inside standard off-the-shelf microplate readers. LEMOS 2.0 builds on the original LEMOS platform by increasing throughput from 16 to 32 microwells and reducing light leakage between adjacent microwells, allowing dark conditions to be used as an additional illumination state. The device consists of a 3D-printed frame, individually addressable LEDs positioned next to each microwell, a rechargeable battery, and an onboard microcontroller for Bluetooth-based wireless communication. Biocompatible polydimethylsiloxane microwells are cast directly into the device by replica molding, allowing bacterial cultures to be stimulated while optical density and fluorescence are measured by the microplate reader. This protocol describes the full LEMOS 2.0 workflow, including device fabrication, circuit assembly, Arduino programming, PDMS microwell casting, plate-reader setup, strain and culture preparation, automated experiment execution, device cleanup, and fluorescence/OD600 data analysis. As a demonstration, the protocol uses the CcaSR optogenetic system, in which sfGFP expression is activated by green light and repressed by red light. LEMOS 2.0 is intended to make optogenetic perturbation and gene-expression characterization more accessible to wet-lab users, enabling faster design-build-test-learn cycles without requiring specialized bioreactor or microfluidic infrastructure.

Geroscience clinical trials need biomarker surrogate endpoints for healthspan. Leading candidates are omics-based composites developed from machine learning analysis of aging phenotypes including calendar age, survival, functional capacity, and Pace of Aging. Existing Pace of Aging biomarkers were developed in the Dunedin Longitudinal Study, limiting inference about strengths/weaknesses of the method as distinct from the Study, a unique single-year birth cohort followed through midlife with near-perfect retention and uniform measurement of multi-organ-system function across two decades of follow-up. We adapted our Pace of Aging method for mixed-age cohorts with variable follow-up of organ-function measures and applied it to develop a novel DNA methylation biomarker of Pace of Aging in data from the Framingham Heart Study Offspring Cohort, FraminghamPACE. Validation analyses across four independent cohorts and one clinical trial establish advantages for the Pace of Aging method in developing biomarkers that are both predictive of healthspan and responsive to geroprotective intervention.

Muscle satellite cells (SCs) regenerate skeletal muscle, but their regenerative capacity declines with age, in part due to extracellular matrix (ECM) remodeling and aberrant fibroblast activation within the SC niche. In regenerating young mouse muscle, fibronectin remodeling is transient, whereas in aged mouse muscle, fibronectin remodeling is prolonged and disorganized. Fibroblasts in aged mice are activated, increasing fibronectin deposition and expressing elevated -smooth muscle actin (SMA), which negatively influence SC fate. We develop a viscoelastic hydrogel co-encapsulation system, enabling three-dimensional co-culture of intact myofibers with primary fibroblasts. Using this 3D co-culture system, we show that fibroblasts from young mice support SC quiescence and self-renewal, whereas fibroblasts from aged mice aberrantly activate SCs and promote their differentiation on myofibers isolated from either young or aged mice. Knocking down fibronectin (Fn1) in fibroblasts from aged mice partially restores SC function, promoting quiescence and limiting differentiation. Using a novel 3D hydrogel co-culture system, we demonstrate that fibroblast-deposited fibronectin is a key age-associated regulator negatively affecting SC fate within the SC niche of aged mice.

Scanning ion conductance microscopy (SICM) provides gentle, non-contact cell surface imaging, but it has not been used to investigate intracellular structures because the plasma membrane restricts nanopipette access. Here, we combined SICM with microsonication-based cell de-roofing to expose intracellular actin stress fibers (SFs) in U2OS cells for nanotopographical and -mechanical characterization. Importantly, the de-roofing conditions preserved actomyosin contractility, allowing analysis of SF structural and biomechanical changes during ATP-induced contraction. Resting SFs displayed an average height of 203{+/-}38 nm and width of 357{+/-}73 nm, and a complex surface architecture characterized by regularly spaced long-range height modulations (~500 nm periodicity; Wq ~25 nm) and smaller irregular corrugations (Ra ~19.2 nm). ATP stimulation reduced SF height and width by ~39% and ~15%, respectively, while largely preserving surface corrugation patterns. During contraction, some SFs separated into two longitudinal strands. High-resolution SICM imaging also revealed filamentous crosslinks mechanically coupling neighboring SFs, and nanomechanical measurements demonstrated local stiffening during contraction. These findings provide new insight into the structural and mechanical regulation of SF contraction and highlight the potential of SICM combined with cell de-roofing as a powerful platform for studying dynamic intracellular processes at nanometer resolution.

Study questionHow does cryptorchidism affect germ cell development and UTF-1-mediated pluripotency potential at the time of orchiopexy? Summary answerCryptorchidism was associated with the following germ cell abnormalities: germ cell clustering with many cords/tubules lacking germ cells and reduced UTF-1 expression, suggesting limited germ cell differentiation into spermatogonia What is known alreadyCryptorchidism, affecting 1.6-9% of male newborns, is known to increase the risk of infertility and testicular cancer due to abnormal germ cell development. Germ cells and pluripotent stem cell gene, UTF-1, play critical roles in spermatogonia differentiation, self-renewal, and spermatogenesis. No prior study has evaluated the testicular development by immunohistochemically mapping of these cell populations, Study design, size, durationA cross-sectional study of 31 postnatal cryptorchid testis and 5 age-matched scrotal testicular biopsies obtained from UCSFs pathology department performed between 1993-2023. Participants/materials, setting, methodsSpecimens were grouped by age at surgery (6-18 months, 19 months-7 years, 8-12 years, and [&ge;]13 years) and testis location (palpable vs. non-palpable). Scrotal prepubertal testis biopsies were sourced through the Pedi-LIFE program, a fertility preservation research biobank, with at least one control per age group. Immunohistochemistry was performed to stain specimens for germ cell (DDX4, OCT4, TSPY), pluripotent cell marker (UTF-1), as well as other key testis cell markers (A-actin, AR, P450, Sox-9), with staining graded based on control expression levels. The number of germ cells per seminiferous tubule was quantified and compared across anatomical locations using appropriate statistical analyses. Main results and the role of chanceThis study included 36 specimens, comprising 31 cryptorchid testes (86%) and 5 scrotal control testes (16%). The cryptorchid group exhibited testicular dysgenesis and reduced germ cell expression, correlated with increased age and testis location. Qualitative assessment revealed reduced germ cell expression across all ages in cryptorchid testes. The number of germ cells per tubule was markedly reduced in cryptorchid compared with scrotal testes after 19 months of age for DDX4, TSPY, and UTF-1. Germ cell clusters were identified in 15 out of 31 cryptorchid specimens (48%) stained for DDX4 and TSPY. UTF-1 expression was lower in cryptorchid testes across all age groups. No significant differences were noted in other testicular cell markers. Large scale dataNA Limitations, reasons for cautionFirst, the power and generalizability of the study are limited by the availability of specimens within each age group, particularly for scrotal testes, as biopsies of these tissues are not routinely performed. Second, a cross-sectional study design limits a longitudinal comparison to evaluate changes in marker expression, delayed maturation, or irreversible germ cell loss. Third, immunohistochemistry data is semi-quantitative, and protein detection is affected by antibody sensitivity and tissue preservation and influenced by antibody sensitivity. Lastly, scrotal testis used as controls were obtained from cryopreserved tissue from patients with other unrelated pathology, which may influence histological profiles. Wider implications of the findingsCollectively, our findings support a model in which cryptorchidism involves both germ cell depletion and disrupted SSC lineage formation, with UTF-1 downregulation and germ cell clustering as early signatures of testicular dysgenesis. These features may help identify high-risk patients for worsening gonadal dysgenesis and infertility and can provide a rationale for earlier orchiopexy or SSC-preserving strategies. Study funding/competing interest(s)The authors declare no conflicts of interest and received no funding for this study. Data Availability StatementThe data underlying this article cannot be shared publicly due to ethical and legal restrictions related to the use of human tissue specimens, which may compromise donor privacy and confidentiality. Data are available from the corresponding author upon reasonable request and subject to institutional and ethical approvals.

Chemotherapy treatment of colorectal cancers (CRC) using cisplatin (CDDP) encounters problems of drug resistance by the cancer cells and cytotoxicity to normal cells, highlighting the urgent need for joint therapeutical strategies. Selenium-enriched rapeseed extracts exhibit anti-cancer effects but the bioactive components and mechanisms remain unclear. Here, we applied different solvents to fractionate the extracts from Selenium-enriched rapeseed and found that the water extract (WE) fraction significantly enhanced the cytotoxic effect of CDDP on cancer cells but no damage on normal cells. HPLC-ICP-MS analysis revealed that methylselenocysteine (MSC) and selenocystine (SeCys2) were the main selenium speciation in WE. Through cell biology and integrative multi-omics analysis, we found a synergistic anti-CRC cell effect when combining CDDP with MSC, sulforaphane (SFN), celastrol (Cel), Indole-3-carbinol (I3C), -linolenic acid (ALA) or linoleic acid (LA). We propose that the CDDP-WE combination treatment holds the promise for improving curative efficacy for chemo-refractory CRC patients in the future.

The increasing prevalence of neurological disorders highlights the need for human in vitro systems that recapitulate key mechanisms of neurodegeneration and neuroinflammation. Although induced pluripotent stem cell (iPSC)-derived organoids and spheroids have advanced structural modelling of the human brain, platforms capable of robustly capturing neuronal electrophysiology in 3D remain limited. Here, we present a neuro-microphysiological system (NeuroMPS) that combines iPSC-derived neurospheres with tailored microelectrode arrays to enable non-invasive, high-resolution monitoring of neuronal network dynamics and functional maturation in vitro. Human iPSC-derived neurospheres, comprising neurons and glial cells, developed synchronous network activity after six weeks of differentiation. The NeuroMPS integrates two key components: a custom microelectrode array with capped electrodes optimized for neurite-level signal detection, and a glass microwell module providing structural confinement and optical compatibility for imaging. This configuration supports stable, longitudinal electrophysiological recordings from three-dimensional neural constructs and enables multimodal analyses. We evaluated platform performance using pharmacological modulators (PTX, TTX, bicuculline, CNQX and 4-AP) and the neurotoxin rotenone through electrophysiological recordings, morphological assessment and metabolic activity profiling. Alterations in network activity were detected within minutes, including at the lowest concentrations tested, whereas corresponding morphological and metabolic changes emerged only at higher doses and later time points. These findings demonstrate the greater sensitivity of electrophysiological readouts in 3D neuronal cultures and their potential for early prediction of compound-induced effects. Collectively, our results establish NeuroMPS as a physiologically relevant, scalable and non-invasive platform for functional interrogation of human iPSC-derived neural networks, with applications in neuropharmacology, neurotoxicology and disease modelling.

Human skeletal muscle is the principal site of insulin-stimulated glucose disposal and a major mediator of exercise-induced metabolic benefits, yet human models that preserve metabolic and exercise responsiveness remain limited. We generated primary human skeletal muscle organoids from donor-derived CD56+ myoblasts using a collagen-based extracellular matrix and serum-free IGF1-guided differentiation. The organoids formed aligned contractile tissues containing oxidative and glycolytic fiber type-like myotubes, displayed enhanced mitochondrial respiration, insulin-stimulated glucose uptake, and reproducible force generation. Electrical pulse stimulation induced AMPK activation, increased glucose utilization and lactate production, and upregulated canonical exercise-responsive genes including NR4A3 and PPARGC1A. Notably, transcriptional responses to in vitro exercise overlapped with acute exercise responses observed in skeletal muscle biopsies from the same donors. The organoids further detected functional impairments of skeletal muscle performance induced by TGF-{beta}1 and metformin and increased speed generation by testosterone treatment. These findings establish a donor-specific human skeletal muscle platform that recapitulates key features of insulin action and exercise adaptation and may enable mechanistic studies of skeletal muscle metabolism, exercise responsiveness, and therapeutic interventions relevant to diabetes. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=148 SRC="FIGDIR/small/735246v1_ufig1.gif" ALT="Figure 1"> View larger version (46K): org.highwire.dtl.DTLVardef@2ea1c9org.highwire.dtl.DTLVardef@17fa8c1org.highwire.dtl.DTLVardef@2045d5org.highwire.dtl.DTLVardef@c8b059_HPS_FORMAT_FIGEXP M_FIG C_FIG Article highlightsWe generated primary human skeletal muscle organoids under serum-free IGF1-guided conditions to reproduce key metabolic and exercise-responsive features of skeletal muscle. The organoids were insulin-responsive, displayed enhanced mitochondrial function and force-generating contractility, reproduced hallmark molecular and metabolic responses to exercise, overlapping with exercise responses observed in the same donors in vivo. The organoids were suitable to detect functional alterations after treatment with endogenous hormones and cytokines and diabetes medication This platform provides a human donor-specific system for studying skeletal muscle mechanisms underlying insulin sensitivity, exercise benefits, and therapeutic responses relevant to diabetes and metabolic disease.

Background: Human induced pluripotent stem cells (hiPSCs) hold promise for vascular regeneration, but preliminary research often relies on neonatal donors, whereas clinical applications will use cells derived from aged individuals. Although the impact of donor age on reprogramming efficiency has been studied, its effect on the functionality of hiPSC-derived endothelial progenitors (hiPSC-EPs) remains unclear. This question is the focus of the current study. Methods and Results: We derived EPs from iPSCs sourced from three neonatal donors (ND) and three mature donors (MD) matched 1:1 for sex and somatic cell origin. We assessed their functional, epigenetic, and transcriptomic characteristics. Despite higher CD34? yields from MD-iPSCs, MD-hiPSC-EPs formed poorly interconnected and non-lumenized vascular structures in 3D hydrogels, compared to neonatal donor (ND) lines. In 2D culture, MD-hiPSC-EPs exhibited reduced cell density and aberrant VE-Cadherin localization. DNA methylation analysis revealed that somatic cell origin was the dominant driver of variance, but consistent differences in methylation of mesoderm commitment, angiogenesis, ECM remodeling, and cytoskeleton-related genes were observed between age groups. Epigenetic age prediction showed MD-hiPSC-EPs had more developmentally advanced signatures, potentially explaining their shift away from vasculogenic competence. Our RNA-sequencing findings confirm trends seen in the DNA methylation data and show differential expression of pathways linked to mitochondrial regulation and nitric oxide signaling. Conclusions: Donor age significantly alters the vasculogenic function of hiPSC-EPs. These findings underscore the necessity of donor-specific considerations in hiPSC-based vascular engineering and highlight potential barriers to translating hiPSC-derived therapeutics into aged patient populations.

Fluorescent reporters are powerful tools to reveal intercellular heterogeneity among proliferating cells. However, there are few tools to analyze differences among quiescent (G0) cells, though such differences are relevant for development, tissue maintenance, and cancer cell behavior. Quiescence heterogeneity, also known as quiescence depth, typically correlates with time after cell cycle arrest, yet directly measuring cell age is not feasible for all cell types or most tissues. Here, we describe ELDR-Glo, a genetically-encoded fluorescent biosensor that estimates relative cell age, i.e., time since the last cell cycle. The biosensor integrates replication-coupled degradation in S phase with a slow-maturing mCherry and a normalization module. We demonstrate that ELDR-Glo signal correlates with true cell age by both live-cell imaging and in fixed cells. ELDR-Glo distinguishes early and late G0 cells and functions as a relative quiescence depth reporter in situ. The biosensor is compatible with multiplexed immunofluorescence and flow cytometry. ELDR-Glo provides a unique and scalable tool to investigate cell proliferation control.

Purpose: Lymphatic system plays a critical role in fluid regulation and immune response. The conjunctiva of the ocular surface is endowed with a rich lymphatic network, and it provides an ideal site to study lymphatic structure and function. The purpose of this study is to investigate potential morphological and functional changes of conjunctival lymphatics with aging, a time-dependent biological deterioration process. Methods: Young and aged fluorescently labeled transgenic mice of Prox-1, the master control gene for lymphatic determination, were used in the study. For morphological assessment, conjunctival lymphatic vessels were examined in vivo by our advanced live imaging system. For functional analysis, lymphatic drainage efficiencies were measured by fluorescently labeled tracer injection. Results: Compared to young mice, both vascular branching points and intraluminal valves were significantly reduced in conjunctival lymphatic vessels of aged mice. Moreover, lymphatic functional deterioration and drainage deficiencies, such as fluid leakage and reflux, were also detected in the aged condition. Conclusions: Conjunctival lymphatic system undergoes morphological as well as functional changes with aging. Further investigation into this phenomenon may provide novel insights into lymphatic and age-related diseases inside and outside the eye.

Neural stem cell (NSC) transplantation is a promising strategy for repairing the injured spinal cord, but transplanted cells typically require immunosuppressive therapy to prevent rejection, even for induced pluripotent stem cell (iPSC)-derived autologous grafts. However, the effects of immunosuppressive drugs on neurite outgrowth and axonal regeneration, processes critical for neural circuit reconstruction, have not been fully characterized. In this study, we tested nine clinically relevant immunosuppressants on human iPSC-derived neurons and primary human spinal cord NSCs in vitro at concentrations approximating clinical exposure levels. The drug panel included FK-506 (tacrolimus), cyclosporine A (CsA), rapamycin, belatacept (Nulojix), etanercept (Enbrel), mycophenolate mofetil (CellCept), cyclophosphamide (Cytoxan), prednisone, and azathioprine (Imuran). Neurite outgrowth was quantified via automated high-content imaging. Multiple agents, including CsA, Imuran, Nulojix, and CellCept, induced significant reductions in neurite outgrowth in a cell type- and dose-dependent manner, with CsA producing the most robust and consistent inhibition across both cell lines. In contrast, FK-506 showed no significant effect on neurite extension at clinically relevant concentrations. Consistent with the in vitro results, human neural progenitor cell grafts in a rodent spinal cord injury model exhibited significantly reduced graft-derived axon extension in the host spinal cord when hosts were treated with CsA rather than FK-506. These findings demonstrate that immunosuppressant choice can profoundly influence neural graft integration and axonal regeneration. Our study underscores the importance of preclinical evaluation of immunosuppressive regimens and suggests that selecting agents such as FK-506 over CsA may improve outcomes in future stem cell-based therapeutic trials for spinal cord injury and related disorders of the central nervous system.

Mechanical forces have a major effect on cell behavior. Most cells in vitro are grown under static conditions on hard tissue culture plastic, conditions that do not accurately reflect living tissues. The ability of cells to sense and respond to mechanical forces is essential for key biological processes, including development, proliferation, and migration. Disruption of the ability to respond to mechanical forces are known to be a critical factor in many diseases, including cardiovascular disease, progeria, and cancer. Here, we present the design, fabrication, and biological testing of a custom-built cell-stretching device that applies controlled biaxial strain to cells cultured on a polydimethylsiloxane (PDMS) membrane. We then used this device to examine how cells respond to strain. In response to biaxial strain, MCF-7 cells activated the mechanosensitive immediate early gene (IEX-1), with its expression increasing significantly after 1 and 3 hours of stretching. Cells exposed to mechanical strain also remodeled their cytoskeleton in a direction-dependent manner. Under uniaxial strain, actin filaments reoriented perpendicular to the stretch direction, whereas biaxially stretched cells do not promote directional reorientation, but instead appear to reinforce actin at the cell periphery. Similarly, cells under uniaxial strain exhibited changes in nuclear orientation and shape that were not observed under biaxial strain. Nuclear area remained unchanged in either strain condition. These results highlight that the biaxial stretcher can be used to apply strain to cells, and that cells respond differently to biaxial strain compared to what has been reported for uniaxial strain.

A wide spectrum of microparticles is inhaled with each breath, deposited on airway surfaces, entrapped in the mucus, and removed by mucociliary transport (MCT). However, the influence of particle size on MCT remains largely unknown. Here, we investigated the MCT of microparticles with a trachea-on-a-chip method that integrates a micro-machined device with a trachea explant from newborn pigs. This method preserves airway structures for mucus secretion and cilia beating (e.g., airway surface epithelia and submucosal glands), maintains physiological air-liquid-interface on the airway surface, and allows tracks motion of microparticles with high resolution. Using this method, we found that, in normal airways, 6 um polystyrene particles clear rapidly, whereas 102 um particles clear slower and require mucus strands for motion. In cystic fibrosis (CF) airways, MCT of microparticles reduces, but particle size-dependence persists. Methacholine increases particle motion in normal airways, but not in CF airways. These findings suggest two distinct MCT processes, in which large particles rely on mucus strands for clearance, small particles can be cleared independent of mucus strands, and CF disrupts both.