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Respiratory organoids have emerged as a powerful in vitro model for studying respiratory diseases and drug discovery. However,the high-throughput analysis of organoid images remains a challenge due to the lack of automated and accurate segmentation tools. This study presents a semi-automatic algorithm for image analysis of respiratory organoids (nasal and lung organoids),employing the U-Net architecture and CellProfiler for organoids segmentation. The algorithm processes bright-field images acquired through z-stack fusion and stitching. The model demonstrated a high level of accuracy,as evidenced by an intersection-over-union metric (IoU) of 0.8856,F1-score = 0.937 and an accuracy of 0.9953. Applied to forskolin-induced swelling assays of lung organoids,the algorithm successfully quantified functional differences in Cystic Fibrosis Transmembrane conductance Regulator (CFTR)-channel activity between healthy donor and cystic fibrosis patient-derived organoids,without fluorescent dyes. Additionally,an open-source dataset of 827 annotated respiratory organoid images was provided to facilitate further research. Our results demonstrate the potential of deep learning to enhance the efficiency and accuracy of high-throughput respiratory organoid analysis for future therapeutic screening applications. Author summaryIn this study,we developed a semi-automated tool to analyze images of respiratory organoids—3D cell structures that mimic the human respiratory system. These organoids are vital for studying diseases like cystic fibrosis and testing potential drugs,but manually analyzing their images is time-consuming and prone to errors. Our tool uses artificial intelligence (AI) to quickly and accurately measure organoid size and shape from bright-field microscope images,eliminating the need for fluorescent dyes that can harm cells. We trained our AI model on a publicly shared dataset of 827 annotated organoid images,achieving high accuracy in detecting and quantifying organoids. When applied to cystic fibrosis research,the tool successfully measured differences in organoid swelling (forskolin-induced swelling - a key test for drug response) between healthy and patient-derived samples. By making our dataset and method openly available,we hope to support further research into respiratory diseases. Our work bridges the gap between complex lab techniques and practical applications,offering a faster,more reliable way to study human health and disease. View Publication

Automation and quality control (QC) are critical in manufacturing safe and effective cell and gene therapy products. However,current QC methods,reliant on molecular staining,pose difficulty in in-line testing and can increase manufacturing costs. Here we demonstrate the potential of using label-free ghost cytometry (LF-GC),a machine learning-driven,multidimensional,high-content,and high-throughput flow cytometry approach,in various stages of the cell therapy manufacturing processes. LF-GC accurately quantified cell count and viability of human peripheral blood mononuclear cells (PBMCs) and identified non-apoptotic live cells and early apoptotic/dead cells in PBMCs (ROC-AUC: area under receiver operating characteristic curve = 0.975),T cells and non-T cells in white blood cells (ROC-AUC = 0.969),activated T cells and quiescent T cells in PBMCs (ROC-AUC = 0.990),and particulate impurities in PBMCs (ROC-AUC ≧ 0.998). The results support that LF-GC is a non-destructive label-free cell analytical method that can be used to monitor cell numbers,assess viability,identify specific cell subsets or phenotypic states,and remove impurities during cell therapy manufacturing. Thus,LF-GC holds the potential to enable full automation in the manufacturing of cell therapy products with reduced cost and increased efficiency. Subject terms: Biotechnology,Cell biology,Immunology,Biomedical engineering View Publication

Genome editing using CRISPR-Cas systems is a promising avenue for the treatment of genetic diseases. However,cellular and humoral immunogenicity of genome editing tools,which originate from bacteria,complicates their clinical use. Here we report reduced immunogenicity (Red)(i)-variants of two clinically relevant nucleases,SaCas9 and AsCas12a. Through MHC-associated peptide proteomics (MAPPs) analysis,we identify putative immunogenic epitopes on each nuclease. Using computational modeling,we rationally design these proteins to evade the immune response. SaCas9 and AsCas12a Redi variants are substantially less recognized by adaptive immune components,including reduced binding affinity to MHC molecules and attenuated generation of cytotoxic T cell responses,yet maintain wild-type levels of activity and specificity. In vivo editing of PCSK9 with SaCas9.Redi.1 is comparable in efficiency to wild-type SaCas9,but significantly reduces undesired immune responses. This demonstrates the utility of this approach in engineering proteins to evade immune detection. Subject terms: Protein design,Immunogenetics,CRISPR-Cas9 genome editing View Publication

Cerebral organoids offer significant potential for neuroscience research as complex in vitro models that mimic human brain development. However,challenges related to their quality and reproducibility hinder their reliability. Discrepancies in morphology,size,cellular composition,and cytoarchitectural organization limit their applications,particularly in disease modeling,drug screening,and neurotoxicity testing. Critically,current methods for organoid characterization often lack standardization,restricting their broader applicability. To address the need for standardized quality assessment of cerebral organoids,we developed a Quality Control (QC) methodology for 60-day cortical organoids,evaluating five key criteria using a scoring system: morphology,size and growth profile,cellular composition,cytoarchitectural organization,and cytotoxicity. We implemented a hierarchical approach,beginning with non-invasive assessments to exclude low-quality organoids,while reserving in-depth analyses for those that passed the initial evaluation. To validate this framework,we exposed 60-day cortical organoids to graded doses of hydrogen peroxide (H2O2),inducing a range of quality outcomes. The QC system demonstrated its robustness by accurately discriminating organoid qualities. Our proposed QC framework is designed to be user-friendly,flexible,and broadly applicable,making it suitable for routine assessment of cerebral organoid quality. Additionally,its scalability enables industrial applications,offering a valuable tool for advancing both fundamental and pre-clinical research.Supplementary InformationThe online version contains supplementary material available at 10.1038/s41598-025-14425-x. View Publication

The reconstruction of damaged neural circuits is critical for neurological repair after brain injury. Classical brain-computer interfaces (BCIs) allow direct communication between the brain and external controllers to compensate for lost functions. Importantly,there is increasing potential for generalized BCIs to input information into the brains to restore damage,but their effectiveness is limited when a large injured cavity is caused. Notably,it might be overcome by transplantation of brain organoids into the damaged region. Here,we construct innovative BCIs mediated by implantable organoids,coined as organoid-brain-computer interfaces (OBCIs). We assess the prolonged safety and feasibility of the OBCIs,and explore neuroregulatory strategies. OBCI stimulation promotes progressive differentiation of grafts and enhances structural-functional connections within organoids and the host brain,promising to repair the damaged brain via regenerating and regulating,potentially directing neurons to preselected targets and recovering functional neural networks in the future. Damaged neural circuits could be improved by generalized BCIs via inputting information into the brains,which is restricted when a large injured cavity caused. Here,the authors construct BCIs mediated by organoid grafts to repair the damaged brain View Publication

Oxidative stress is implicated in the pathogenesis of neuronal degenerative diseases. Oxidative stress has been shown to activate extracellular signal-regulated kinases (ERK)1/2. We investigated the role of these mitogen-activated protein kinases (MAPKs) in oxidative neuronal injury by using a mouse hippocampal cell line (HT22) and rat primary cortical cultures. Here,we show that a novel MAPK/ERK kinase (MEK) specific inhibitor U0126 profoundly protected HT22 cells against oxidative stress induced by glutamate,which was accompanied by an inhibition of phosphorylation of ERK1/2. U0126 also protected rat primary cultured cortical neurons against glutamate or hypoxia. However,U0126 was not protective against death caused by tumor necrosis factor alpha (TNFalpha),A23187,or staurosporine. These results indicate that MEK plays a central role in the neuronal death caused by oxidative stress. View Publication

Threats of bioterrorism have renewed efforts to better understand poxvirus pathogenesis and to develop a safer vaccine against smallpox. Individuals with atopic dermatitis are excluded from smallpox vaccination because of their propensity to develop eczema vaccinatum,a disseminated vaccinia virus (VACV) infection. To study the underlying mechanism of the vulnerability of atopic dermatitis patients to VACV infection,we developed a mouse model of eczema vaccinatum. Virus infection of eczematous skin induced severe primary erosive skin lesions,but not in the skin of healthy mice. Eczematous mice exhibited lower natural killer (NK) cell activity but similar cytotoxic T lymphocyte activity and humoral immune responses. The role of NK cells in controlling VACV-induced skin lesions was demonstrated by experiments depleting or transferring NK cells. The proinflammatory cytokine interleukin (IL)-17 reduced NK cell activity in mice with preexisting dermatitis. Given low NK cell activities and increased IL-17 expression in atopic dermatitis patients,these results can explain the increased susceptibility of atopic dermatitis patients to eczema vaccinatum. View Publication

Most polyreactive and antinuclear antibodies are removed from the human antibody repertoire during B cell development. To elucidate how B cell receptor (BCR) signaling may regulate human B cell tolerance,we tested the specificity of recombinant antibodies from single peripheral B cells isolated from patients suffering from X-linked agammaglobulinemia (XLA). These patients carry mutations in the Bruton's tyrosine kinase (BTK) gene that encode an essential BCR signaling component. We find that in the absence of Btk,peripheral B cells show a distinct antibody repertoire consistent with extensive secondary V(D)J recombination. Nevertheless,XLA B cells are enriched in autoreactive clones. Our results demonstrate that Btk is essential in regulating thresholds for human B cell tolerance. View Publication