Biology subjects

Ota, S.

Publications and source records attributed to Ota, S..

15 recordsLinked to original sources

bioRxiv2026

Randomized Spatial Barcoding for Time-Lapse Flow Cytometry

Tracking suspended cells over multiple time points at the single-cell level remains challenging because existing flow-based methods cannot preserve cell identity while maintaining high throughput. Here, we present RASPBerry, a hydrogel-based spatial barcoding platform for time-lapse flow cytometry. RASPBerry generates unique barcodes by randomly co-encapsulating fluorescent beads with individual cells in hydrogel droplets, eliminating the need for predefined barcode patterns or specialized optical instrumentation. We integrate RASPBerry with acoustofluidic imaging flow cytometry to enable time-lapse imaging flow cytometry of suspended cells. The platform identifies more than 17,000 hydrogel droplets with 99.8% matching accuracy. We further demonstrate time-lapse tracking of more than 10,000 suspended cells and quantify stress-induced nuclear morphological changes in more than 5,000 individual cells. RASPBerry provides a simple, scalable, and broadly accessible strategy for time-lapse imaging flow cytometry, expanding the capability for dynamic single-cell analysis of suspended cells.

bioengineering↗

bioRxiv2026

Organoid-in-Bead (OrB): vortex-based compartmentalization enables scalable, high-density intestinal organoid culture

Intestinal organoids are powerful in vitro models, but their use in large-scale analyses remains constrained by the low throughput, labor-intensive handling, and high reagent consumption of conventional Matrigel dome culture. Here, we present Organoid-in-Bead (OrB), a vortex-based compartmentalization workflow that partitions organoid fragments into thousands of discrete Matrigel microbeads, enabling scalable, high-density culture from a single batch preparation. OrB maintains dome-comparable organoid growth and epithelial polarity, supports passaging-based culture expansion, yields more than 5,000 organoids in the final 10 cm dish format, and reduces Matrigel and medium consumption by approximately 70% on a per-organoid basis. OrB therefore provides a practical and scalable upstream workflow for generating screening-scale intestinal organoids. HighlightsO_LIOrB generates Matrigel microcompartments by vortexing without microfluidics C_LIO_LIOrB enables scalable, high-density intestinal organoid culture in one batch C_LIO_LIOrB maintains dome-comparable growth and epithelial polarity and supports passaging C_LIO_LIOrB yields >5,000 organoids per batch with [~]70% less Matrigel/medium per organoid C_LI

bioengineering↗

bioRxiv2026

Microfluidic Core-Shell Encapsulation Enables Scalable Generation of Apical-Out Intestinal Spheroids

Apical-out intestinal spheroids provide direct access to the lumen-facing epithelial surface, making them attractive three-dimensional models for studying epithelial barrier function, nutrient uptake, and luminal exposure. However, existing polarity-reversal methods typically require releasing spheroids from surrounding ECM gels and culturing them in suspension, which can compromise matrix-derived cues, promote fusion, increase size heterogeneity, and limit scalability. Here, we develop a microfluidic core-shell encapsulation strategy to scalably produce apical-out intestinal spheroids within uniform hydrogel microcapsules. These microcapsules consist of a Matrigel core surrounded by an agarose shell. Flow-focusing microfluidics first confines Caco-2 cells in Matrigel cores that provide instructive extracellular matrix cues, and particle-templated emulsification subsequently encloses each core within an inert agarose shell that prevents spheroid fusion and preserves batch uniformity. The method generated >100,000 microcapsules per experiment, with a mean shell diameter of 117 {micro}m, a coefficient of variation below 9%, and >90% single-spheroid formation efficiency. The resulting spheroids established apical-basolateral polarity, organised tight junctions, formed a dextran-excluding epithelial barrier, and exhibited fatty-acid uptake. This core-shell strategy provides an experimentally tractable platform for scalable intestinal epithelial modelling and may be extensible to other epithelial microtissue systems. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=42 SRC="FIGDIR/small/731294v2_ufig1.gif" ALT="Figure 1"> View larger version (16K): org.highwire.dtl.DTLVardef@16dc3forg.highwire.dtl.DTLVardef@d5d947org.highwire.dtl.DTLVardef@1abe79forg.highwire.dtl.DTLVardef@f39239_HPS_FORMAT_FIGEXP M_FIG C_FIG

bioengineering↗

bioRxiv2026

Decoupling Fabrication from Encoding: DNA-Addressable Template Microparticles for Large, User-Defined Optical Barcode Libraries

Optical barcodes for pooled high-throughput screening must support large libraries while remaining decodable in a single imaging step. Existing approaches often trade design control for manufacturability: deterministic barcodes often require per-code redesign of particle fabrication, whereas stochastic combinatorial barcodes are difficult to generate as predefined batches. Here we introduce a chemically programmable barcoding architecture that decouples particle fabrication from barcode assignment. Using a contact-free multilaminar flow lithography platform with all-around three-dimensional sheathing, we continuously fabricate a universal hydrogel scaffold containing five spatially segregated DNA-addressable domains at rates >106 particles/h. Chosen barcode identities are subsequently written on demand onto the same template batch by domain-selective DNA hybridization. Single-domain measurements resolved 64 candidate optical states, indicating an experimentally informed theoretical upper bound of 645 {approx} 1.1 x 109 barcodes. We further implemented a predefined 59,049-code library by split-pool labeling, achieving an 88% recovery of decoded beads at a stringent posterior threshold (>0.95). After 11 days, >7,800 beads were correctly re-identified at >0.95 accuracy in matched fields of view. This strategy provides a highly scalable, chemically programmable route to build large, user-defined optical barcode libraries with single-image optical readout and longitudinal traceability.

bioengineering↗

bioRxiv2026

High-throughput CRISPR live-cell imaging of low-frequency chromosomal events quantifies the latent efficiency of chromosome engineering

Abstract/SummaryQuantifying low-frequency chromosomal alterations in living cell populations at early stages is essential in many fields including cancer studies and chromosome engineering, yet selection-based readouts impose delays and can lose fragile positives before readout, biasing frequency estimates; CRISPR imaging rarely reports detection limits at 10^-4. Here, we developed High-throughput CRISPR Imaging (Hi-CRI), integrating engineered dCas9-sgRNA ribonucleoprotein (RNP) labeling, suppression of nonspecific aggregates via metabolic modulation and protease treatment, high-speed volumetric imaging by oblique plane microscopy, GPU-accelerated image analysis, and an explicit error-controlled detection-limit framework. Using per-cell signal-to-noise ratio calling, Hi-CRI achieves a 0.01% detection limit for target-positive cell fractions. In microcell-mediated chromosome transfer of a mouse artificial chromosome (MAC) into HT1080 recipients, Hi-CRI measured 0.03% MAC-positive cells among 184,235 recipients at day 1 post-fusion, versus 0.0007% by antibiotic-selection-based clonogenic assay at day 8 post-fusion, consistent with substantial loss before readout (pre-readout attrition). Hi-CRI enables viability-preserving, selection-independent quantification of low-frequency chromosomal states. TeaserRare chromosome events can be counted in living cells by high-throughput CRISPR imaging before selection hides them.

bioengineering↗

bioRxiv2025

Space-efficient method for high-throughput generation of uniform cell-laden hollow agarose microcapsules

Hollow hydrogel microcapsules isolate cells while allowing diffusion of nutrients and factors, supporting applications from single-cell analysis and clonal expansion to spheroid formation inside them. Conventional encapsulation relies on bulky instruments such as pumps and pressure controllers, hindering use in confined environments such as anaerobic chambers. Here we present a space-efficient method combining pump-free, -20 kPa negative-pressure droplet generation with particle-templated emulsification to produce millions of [~]70 {micro}m hollow agarose microcapsules using only a sealed bottle and a vortex mixer within a 30 cm x 30 cm footprint. The system maintains [~]491 {+/-} 2 drops/s and yields (2.26 {+/-} 0.09) x 106 capsules per batch with CV < 4% (N = 3). Operating entirely inside an anaerobic chamber, we encapsulated mouse gut bacteria and quantified population-level proliferation over four days. This space-efficient workflow enables high-throughput encapsulation under spatial constraints such as biosafety cabinets or anaerobic chambers, providing a practical foundation for downstream single-cell and clonal analyses.

bioengineering↗

bioRxiv2025

Visualization of functional and effective connectivity underlying auditory descriptive naming

ObjectiveWe visualized functional and effective connectivity within specific white matter networks in response to auditory descriptive questions. MethodsWe investigated 40 Japanese-speaking patients with focal epilepsy and estimated connectivity measures using cortical high-gamma dynamics and MRI tractography. ResultsHearing a wh-interrogative at question onset enhanced inter-hemispheric functional connectivity, with left-to-right callosal facilitatory flows between the superior-temporal gyri, contrasted by functional connectivity diminution with right-to-left callosal suppressive flows between dorsolateral prefrontal regions. Processing verbs associated with concrete objects or adverbs increased left intra-hemispheric connectivity, with bidirectional facilitatory flows through extensive white matter pathways. Questions beginning with what, compared to where, induced greater neural engagement in the left posterior inferior-frontal gyrus at question offset, linked to enhanced functional connectivity and bidirectional facilitatory flows to the temporal lobe neocortex via the arcuate fasciculus. During overt responses, inter-hemispheric functional connectivity was enhanced, with bidirectional callosal flows between Rolandic areas, and individuals with higher IQ scores exhibited less prolonged neural engagement in the left posterior middle frontal gyrus. ConclusionsVisualization of directional neural interactions within white matter networks during overt naming is feasible. SignificancePhrase order may influence network dynamics in listeners, even when presented with auditory descriptive questions conveying similar meanings.

neuroscience↗

bioRxiv2024

Quantitative phase imaging with temporal kinetics predicts hematopoietic stem cell diversity

Innovative identification technologies for hematopoietic stem cells (HSCs) have advanced the frontiers of stem cell biology. However, most analytical techniques capture only a single snapshot, disregarding the temporal context. A comprehensive understanding of the temporal heterogeneity of HSCs necessitates live-cell, real-time and non-invasive analysis. Here, we developed a prediction system for HSC diversity by integrating single-HSC ex vivo expansion technology with quantitative phase imaging (QPI)-driven machine learning. By analyzing single-cell kinetics with QPI, we discovered previously undetectable diversity among HSCs that snapshot analysis fails to capture. Our QPI-driven algorithm quantitatively evaluates the stemness of individual HSCs and incorporates temporal information to significantly improve prediction accuracy. This platform marks a paradigm shift from "identification" to "prediction", enabling us to forecast HSC status by analyzing their past temporal kinetics.

cell biology↗

bioRxiv2024

Large-scale generation of uniform sub-100 μm adipocyte spheroids in hydrogel microcapsules using a flow-focusing microfluidic device

Adipocyte spheroids are a promising three-dimensional (3D) cell culture model for obesity research because they reproduce 3D adipose tissue structures and cell-cell interactions better than 2D cultures. However, current methods fail to produce uniformly sized, small adipocyte spheroids at large scales, significantly limiting their use in analysis such as large-scale drug screening. Here, we develop a scalable method that combines simple microfluidics with templated emulsification to generate small, uniformly sized adipocyte spheroids. By encapsulating preadipocytes in numerous hollow agarose microcapsules and incubating them for two days, we reproducibly produced more than 100,000 uniform spheroids with diameters of approximately 50 {micro}m (CV: <13%); we then differentiated preadipocyte spheroids into adipocyte spheroids after an 8-day induction period. Our platform enhances large-scale 3D analysis using adipocyte spheroids for obesity research and can be adapted to generate various spheroid and organoid models, advancing biomedical research across diverse fields.

bioengineering↗

bioRxiv2023

Barcoding of small extracellular vesicles with CRISPR-gRNA enables comprehensive, subpopulation-specific analysis of their biogenesis/release regulators

Small extracellular vesicles (sEVs) are important intercellular information transmitters in various biological contexts, but their release processes remain poorly understood. Herein, we describe a high-throughput assay platform, CRISPR-assisted individually barcoded sEV-based release regulator (CIBER) screening, for identifying key players in sEV release. CIBER screening employs sEVs barcoded with CRISPR-gRNA through the interaction of gRNA and dead Cas9 fused with an sEV marker. Barcode quantification enables the estimation of the sEV amount released from each cell in a massively parallel manner. Barcoding sEVs with different sEV markers in a CRISPR pooled-screening format allows genome-wide exploration of sEV release regulators in a subpopulation-specific manner, successfully identifying previously unknown sEV release regulators and uncovering the exosomal/ectosomal nature of CD63+/CD9+ sEVs, respectively, as well as the synchronization of CD9+ sEV release with the cell cycle. CIBER should be a valuable tool for detailed studies on the biogenesis, release, and heterogeneity of sEVs.

cell biology↗

bioRxiv2023

Artificial Intelligence Enables the Label-Free Identification of Chronic Myeloid Leukemia Cells with Mitochondrial Morphological Alterations

Long-term tyrosine kinase inhibitor (TKI) treatment for patients with chronic myeloid leukemia (CML) causes various adverse events. Achieving a deep molecular response (DMR) is necessary for discontinuing TKIs and attaining treatment-free remission. Thus, early diagnosis is crucial as a lower DMR achievement rate has been reported in high-risk patients. Therefore, we attempted to identify CML cells using a novel technology that combines artificial intelligence (AI) with flow cytometry and investigated the basis for AI- mediated identification. Our findings indicate that BCR-ABL1-transduced cells and leukocytes from patients with CML showed significantly fragmented mitochondria and decreased mitochondrial membrane potential. Additionally, BCR-ABL1 enhanced the phosphorylation of Drp1 via the mitogen-activated protein kinase pathway, inducing mitochondrial fragmentation. Finally, the AI identified cell line models and patient leukocytes that showed mitochondrial morphological changes. Our study suggested that this AI- based technology enables the highly sensitive detection of BCR-ABL1-positive cells and early diagnosis of CML.

cancer biology↗

bioRxiv2023

High-throughput 3D imaging flow cytometry of adherent 3D cell cultures

Three-dimensional (3D) cell cultures are indispensable in recapitulating in vivo environments. Among many 3D culture methods, the strategy to culture adherent cells on hydrogel beads to form spheroid-like structures is powerful for maintaining high cell viability and functions through an efficient supply of nutrients and oxygen. However, high-throughput, scalable technologies for 3D imaging of individual cells cultured on the hydrogel scaffolds are lacking. This study reports the development of a high-throughput, scalable 3D imaging flow cytometry (3D-iFCM) platform for analyzing spheroid models on hydrogel beads. This platform is realized by integrating a single objective lens-based fluorescence light-sheet microscopy with a microfluidic device employing a combination of hydrodynamic and acoustofluidic focusing techniques. This integration enabled an unprecedentedly high-throughput, robust optofluidic 3D imaging, processing 513 cells s-1 and a total of more than 104 cells within a minute. The large dataset obtained allows us to quantify and compare the nuclear morphology of adhering and suspended cells, revealing adhering cells have smaller nuclei with non-round surfaces. This platforms high throughput, robustness, and precision for analyzing the morphology of subcellular compartments in 3D culture models holds promising potential for various biomedical analyses, including image-based phenotypic screening of drugs with spheroids or organoids.

bioengineering↗

bioRxiv2023

Label-free ghost cytometry for manufacturing of cell therapy products

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, T cells and non-T cells in white blood cells (WBCs), activated T cells and quiescent T cells in PBMCs, and particulate impurities in PBMCs. The data 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.

cell biology↗

bioRxiv2023

Pooled CRISPR screening of high-content cellular phenotypes by ghost cytometry

Fast enrichment of cells based on morphological information remains a challenge, limiting genome-wide perturbation screening for diverse high-content phenotypes of cells. Here we show that multi-modal ghost cytometry-based cell sorting is applicable to fast pooled CRISPR screening for both fluorescence and label-free high-content phenotypes of millions of cells. By employing the high-content cell sorter in the fluorescence mode, we enabled the genome-wide CRISPR screening of genes that affect NF-{kappa}B nuclear translocation. Furthermore, by employing the multi-parametric, label-free mode, we performed the large-scale screening to identify a gene involved in macrophage polarization. Especially the label-free platform can enrich target phenotypes without invasive staining, preserving untouched cells for downstream assays and unlocking the potential to screen for the cellular phenotypes even when suitable markers are lacking. One-Sentence SummaryMachine vision-based cell sorter enabled genome-wide perturbation screens for high-content cell phenotypes even without labeling

cell biology↗

bioRxiv2022

Droplet array-based platform for parallel optical analysis of dynamic extracellular vesicle secretion from single cells

Extracellular vesicles (EVs) are essential intercellular communication tools, but the regulatory mechanisms governing heterogeneous EV secretion are still unclear due to the lack of methods for precise analysis. Monitoring the dynamics of secretion from individually isolated cells is crucial because, in bulk analysis, secretion activity can be perturbed by cell-cell interactions, and a cell population rarely performs secretion in a magnitude- or duration-synchronized manner. Although various microfluidic techniques have been adopted to evaluate the abundance of single-cell-derived EVs, none can track their secretion dynamics continually for extended periods. Here, we have developed a droplet array-based method that allowed us to optically quantify the EV secretion dynamics of >300 single cells every 2 hours for 36 hours, which covers the cell doubling time of many cell types. The experimental results clearly show the highly heterogeneous nature of single-cell EV secretion and suggest that cell division facilitates EV secretion, showing the usefulness of this platform for discovering EV regulation machinery.

bioengineering↗