Biology subjects

Kang, J. H.

Publications and source records attributed to Kang, J. H..

13 recordsLinked to original sources

bioRxiv2026

Continuous, high-speed 3D topographic profiling of living tissue monolayers

Tissue monolayers are active living matter whose three-dimensional (3D) architecture and mechanical remodeling regulate tissue function, yet fast and continuous topographic monitoring remains difficult. Here, we present FLuorescence EXclusion microscopy fOr Monolayers (FLEXOM), a microfluidic platform that combines multilayer micropillar arrays with negative-staining optics to convert wide-field images into self-calibrated 3D height maps. Geometry-anchored reference cavities maintain in-frame calibration standards even in fully confluent monolayer fields, enabling continuous 3D profiling from isolated cells to confluent sheets with sub-second temporal resolution ([~]250 ms), sub-micrometer axial precision ([~]0.37 {micro}m), and multi-day biocompatibility and operational stability (>96 h). FLEXOM reveals two distinct anisotropic signatures in tissue monolayers. First, monolayers of different cell types show distinct vertical thickness profiles despite comparable lateral footprints. Only two vertical descriptors, mean height and height variability, distinguished cell types more accurately than nine 2D lateral descriptors, including area, circularity, and convexity (95% vs. 76%). Second, under acute osmotic shock, confluent monolayers exhibit geometrically anisotropic and temporally decoupled vertical-lateral remodeling: height changes dominate the overall volume response and precede lateral remodeling. Surprisingly, cyclic isotonic-hypotonic pulses every 3 min confine remodeling entirely to the vertical axis. Overall, our work provides a high-resolution 3D profiling tool and a framework for axis-resolved analysis of topographic responses in active living matter.

biophysics↗

bioRxiv2026

Amplification-Free Detection of Antibiotic Resistance in Enterococcus faecium using PNA-FISH

Vancomycin-resistant Enterococcus faecium (VREfm) is a major nosocomial pathogen, with antibiotic resistance mediated by the vanA and vanB operons. Rapid and accurate detection of antibiotic resistance is critical for the timely treatment of bacteremia and sepsis. Although imaging-based approaches using fluorescence in situ hybridization (FISH) provide a potential diagnostic solution, detecting mRNAs of antibiotic resistance genes (ARGs) in individual cells remains particularly challenging due to their low copy number and transient expression. Here, we present a peptide nucleic acid (PNA)-FISH method for direct detection of vanA- and vanB-associated resistance in individual VREfm cells. A universal probe targeting the conserved region across vancomycin resistance genes and a set of probes exclusively targeting the vanB gene were designed. The universal probe showed increased fluorescence in the vanA-genotype strain upon vancomycin or teicoplanin treatment, and in the vanB-genotype strain upon vancomycin treatment. In contrast, vanB-specific probes showed increased fluorescence exclusively from the vanB-genotype strain upon vancomycin treatment, confirming their specificity to the vanB gene. Efficient cellular penetration and strong hybridization of PNA probes enabled efficient and accurate detection of antibiotic-resistant bacterial cells, even under a wide-field fluorescence microscope. No detectable signals above background were observed in other major bacterial species associated with bacteremia and sepsis. These findings demonstrate robust detection of antibiotic-resistant cells in mixed microbial populations. When integrated with microbe-capturing techniques, this method may support culture-free detection of antibiotic resistance without nucleic acid amplification or sequencing, with the potential to reduce diagnostic turnaround time.

microbiology↗

bioRxiv2026

A tumor metabolism-angiogenesis-immune axis governs immunotherapy responses

Despite the clinical success of immunotherapy, long-lasting benefit remains restricted to a subset of patients. Tumor metabolic adaptation is emerging as a key factor limiting immunotherapy efficacy. We previously found that glycolysis-low tumor variants, compared to the parental glycolytic tumors, better respond to neoadjuvant CTLA-4 immune checkpoint blockade (ICB) therapy. Here, we investigated new rational modalities to restore immune sensitivity of glycolytic tumors by studying how lowering the tumor-cell glycolytic capacity reshapes the tumor microenvironment (TME) to favor long-lasting systemic anti-tumor responses upon immunotherapy. We found that lowering glycolysis in cancer cells through LDHA-knock down (KD) results in TME displaying normalized vasculature, reduced angiogenic markers, increased high endothelial venules (HEVs), and enhanced recirculation of CD8+ T cells both in and out of the tumor. By leveraging public transcriptomic data sets from human solid cancers, we confirmed that glycolysis positively correlates with neo-angiogenesis and inversely correlates with features of vascular normalization and immune cytolytic activity. Moreover, a tumor signature that incorporates glycolysis- and angiogenesis-related genes as positive features, and normal vasculature, HEV, and immune cytolytic activity genes as negative features predicted poor outcomes better than the individual features across most human solid tumor types in the TCGA. To determine the therapeutic implication of these interrelated processes, we asked if targeting the vasculature would restore immunotherapy responses in glycolytic tumors. We found that combining low-dose anti-VEGFR2 with CTLA-4 blockade induces tumor regressions and protection from metastases in glycolytic tumors. These therapeutic effects were associated with vasculature normalization and increased abundance of HEVs and concentrations of lymphangiogenic factors in the TME of glycolytic tumors. Moreover, anti-VEGFR2 with anti-CTLA-4 restored recirculation of anti-tumor CD8+ T cells in and out of the TME in glycolytic tumors, with specific increases in intratumoral recruitment and activation of cytolytic CD62LCD44CD8 T cells expressing VEGFR2 and low levels of CTLA-4, suggesting potential novel direct synergistic effects of anti-VEGFR2 and anti-CTLA-4 on CD8+ T cells. Conversely, this combination opposed the beneficial immune and vascular TME features of LDHA-KD tumors, indicating tumor-metabolic-dependent effects. Accordingly, we found that standard combined regimens of anti-VEGF and ICB therapy improve survival with respect to ICB alone in patients with glycolysis-high but not glycolysis-low tumors. Together, these findings indicate that tumor cell glycolysis "primes" the TME for aberrant vascular architecture and T-cell exclusion, and that modulating the tumor vasculature can unravel these mechanisms restoring immune responsiveness. This suggests that tailoring anti-angiogenic and immunotherapy combinations to the tumor glycolytic state and associated vasculature profiles may restore immune surveillance and overcome therapy resistance.

immunology↗

bioRxiv2026

Loss of Mitochondrial FMT Restores Chloroplast Proteostasis via Inter-organelle Compensation

Chloroplast proteostasis is vital for plant development, yet whether cells can actively reprogram organelle communication to restore plastid function when essential protease components fail remains unclear. Using a forward genetic suppressor screen in Arabidopsis, we identify loss of the mitochondria-associated protein FRIENDLY MITOCHONDRIA (FMT) as a strong suppressor of the virescent and growth-retarded clpc1 mutant, which lacks the major chloroplast Clp chaperone ClpC1. Suppression is highly specific and occurs independently of GUN1-mediated retrograde signaling. Integrated multi-omics analyses reveal that clpc1 and fmtclpc1 represent two distinct organelle signaling states. In clpc1, loss of ClpC1 triggers a plastid stress state characterized by repression of photosynthesis-associated transcription factors, induction of plastid metabolic stress markers, and impaired proteolytic activity. By contrast, loss of FMT shifts the system into a recovery state despite persistent mitochondrial clustering. Mechanistically, FMT negatively regulates CLPC2, a ClpC1 paralog, and fmt-mediated rescue results from CLPC2 derepression. Moderately elevated ClpC2 restores in vivo proteolysis, as evidenced by recovery of PAA2 substrate turnover, normalization of chloroplast ultrastructure, and reactivation of photosynthesis-related gene expression. Transcriptomic and proteomic profiling further reveal coordinated remodeling of nuclear gene expression and chloroplast protein investment in the recovery state, including reduced cytosolic folding stress and selective induction of jasmonic acid- and salicylic acid-associated signaling networks. Genetic analyses establish that REC1 and REC2 are required for full CLPC2 induction and phenotypic recovery. Together, our findings uncover a latent inter-organelle compensatory mechanism in which mitochondrial perturbation reprograms nuclear gene expression to restore chloroplast proteostasis when ClpC1 function is compromised.

plant biology↗

bioRxiv2025

SHEST: Single-cell-level artificial intelligence from haematoxylin and eosin morphology for cell type prediction and spatial transcriptomics reconstruction

A comprehensive understanding of cancer progression requires integrating tissue morphol-ogy with spatial molecular profiles. We present SHEST, a multi-task profiling framework that leverages haematoxylin and eosin morphology to predict cellular composition and re-construct spatial gene expression at single-cell resolution. SHEST employs a quadruple-tile input capturing nuclear and contextual information, combined with a neighbourhood-informed clustering algorithm to filter ambiguous cellular signals. It comprises a shared morphological encoder with two task-specific heads: a classifier for cell type prediction and a reconstruc-tor for gene expression. Multi-task optimisation uses cross-entropy and zero-inflated negative binomial losses, specifically addressing the sparsity of spatial transcriptomic data. Evalua-tion on human lung adenocarcinoma datasets demonstrated high accuracy for the principal reciprocal constituents of the tumour-immune axis (F1: 0.97 for tumour cells and 0.91 for lym-phocytes). External validation confirmed its generalisability, revealing alveolar cells and their early neoplastic transitions. Reconstructed gene expression reproduced spatially resolved, cell-type-specific marker patterns--EPCAM in tumour cells, LTBP2 in fibroblasts, and CD3E in lymphocytes--recovering biologically coherent transcriptional architecture. SHEST also pre-served distance-dependent spatial relationships and gene-level autocorrelation, reflecting the multicellular niche structure of the tumour microenvironment. By unifying cell type iden-tification, gene expression reconstruction, and spatial mapping within a single interpretable framework, SHEST provides a synergistic and cost-efficient bridge between histopathology and spatial transcriptomics. This approach facilitates comprehensive tissue characterisation and forms a foundation for precision oncology through spatially informed, cell-level insights into tumour-immune ecosystems.

bioinformatics↗

bioRxiv2025

Stochasticity in mammalian cell growth rates drives cell-to-cell variability independently of cell size and divisions

Cell growth rates exhibit cell-intrinsic cell-to-cell variability, which influences cell fitness and size home-ostasis from bacteria to cancer. Whether this variability arises from noise in cell growth or cell division processes, or originates from cell-size-dependent growth rates, remains unclear. To separate these potential sources of growth variability, single-cell growth rates need to be examined across different timescales. Here, we study cell-intrinsic size and growth regulation by tracking lymphocytic leukemia cell mass accumulation with high precision and minute-scale temporal resolution along long ancestral lineages. We first show that cell-size-dependent growth regulation and asymmetric division of cell size do not explain cell-to-cell growth variability. We then isolate growth fluctuations from overlapping cell-cycle-dependent growth using a Gaussian process regression analysis. We find that these growth fluctuations drive cell-to-cell growth variability within ancestral lineages despite being independent of cell divisions, cell cycle, and cell size. Overall, our results indicate that cell-intrinsic long-term patterns in cell growth are a byproduct of short-term growth fluctuations.

systems biology↗

bioRxiv2023

A developmentally-inspired hypoxia condition promotes kidney organoid differentiation from human pluripotent stem cells

Kidney organoids derived from human pluripotent stem cells (hPSCs) lack a contiguous network of collecting ducts, which limits their utility in modeling kidney development and disease. Here, we report the generation of kidney organoids containing ureteric bud (UB)-derived collecting ducts connected to metanephric mesenchyme (MM)-derived nephrons using developmentally-inspired hypoxic differentiation conditions. Hypoxia promotes a reiterative process of branching morphogenesis and nephron induction through reciprocal interactions between co-induced MM and UB, which lead to a higher-order kidney organogenesis in vitro. The resulting kidney organoids demonstrate greater maturity, as indicated by higher levels of functional markers and more realistic micro-anatomy of the tubules and collecting ducts. Additionally, these hypoxic-enhanced kidney organoids show a great potential as in vitro models for renal cystic diseases, as they efficiently generate cystic formations and display high sensitivity to drugs. This hypoxia approach may open new avenues for an enhanced understanding of kidney development and diseases.

bioengineering↗

bioRxiv2023

TXNIP in liver sinusoidal endothelial cells ameliorates alcohol-associated liver disease

The authors have withdrawn their manuscript because it was posted without the consent of all authors. Therefore, the authors do not wish this work to be cited as reference for the project. If you have any questions, please contact the corresponding author.

pathology↗

bioRxiv2022

Organoid-based human stomach micro-physiological system to recapitulate the dynamic mucosal defense mechanism

Several stomach diseases are attributed to the dysregulation of physiological function of gastric mucosal barrier by pathogens. Gastric organoids are a promising tool to develop treatment strategies for gastric infections. However, their functional features of in vivo gastric mucosal barrier and host-microbe interactions are limited due to the lack of physiological stimuli. Herein, we describe the first human stomach micro-physiological system (hsMPS) with physiologically relevant gastric mucosal defense system based on the combination of organoid and MPS technology. A fluid flow enhanced epithelial-mesenchymal interaction in the hsMPS enables functional maturation of gastric epithelial cells, which allows for the recreation of mesh-like mucus layer containing high level of mucus protective peptides and well-developed epithelial junctional complexes. Furthermore, gastroprotection mechanisms against Helicobacter pylori are successfully demonstrated in our system. Therefore, hsMPS represents a new in vitro tool for research where gastric mucosal defense mechanism is pivotal for developing therapeutic strategies.

bioengineering↗

bioRxiv2021

Analysis of the blood microbiome in a porcine model of fecal-induced peritonitis

BackgroundRecent studies have proposed the existence of a blood microbiome, even in the healthy host. However, we do not know how the blood microbiome changes when a bloodstream infection (BSI) occurs. Here, we analyzed the dynamics of the blood microbiome in a porcine model of polymicrobial bacteremia induced by fecal peritonitis. Serial blood samples were taken over 12 hours post-induction of fecal peritonitis, and BSI was validated by conventional blood culture and assessment of clinical symptoms. ResultsThe bacterial populations in the blood microbiome were retained throughout the experimental period. However, there were significant taxonomic differences between the profile in the fecal and blood microbiomes, reflecting tropism for the blood environment. We also confirmed that the microbiota we detected was not contaminated by low mass bacteria in the bloodstream. However, at the same time, we noted a slight increase in Bacteroidetes, which is a major component of the gut microbiome, as sepsis developed. Comparison of the functional pathways in the blood and fecal microbiomes revealed upregulation of pathways involved in environmental interactions, and downregulation of those related to cell proliferation, in the former. Based on the enriched biological pathways, we concluded that communication and stress management pathways are essential for the survival of the blood microbiome under harsh conditions. ConclusionThis study suggests that the microbiota can be stably retained in the bloodstream over time. Although further investigation in humans is required, we suggest that the blood microbiome may be another factor to be considered in the context of BSI and subsequent sepsis.

microbiology↗

bioRxiv2020

Cell size is a determinant of stem cell potential during aging

Stem cells are remarkably small in size. Whether small size is important for stem cell function is unknown. We find that murine hematopoietic stem cells (HSCs) enlarge under conditions known to decrease stem cell function. This decreased fitness of large HSCs is due to reduced proliferative potential. Preventing HSC enlargement by inhibiting macromolecule biosynthesis or reducing large HSCs size by shortening G1 averts the loss of stem cell potential under conditions causing stem cell exhaustion. Finally, we show that a fraction of murine and human HSCs enlarge during aging. Preventing this age-dependent enlargement improves HSC function. We conclude that small cell size is important for stem cell function in vivo and propose that stem cell enlargement contributes to their functional decline during aging. One Sentence SummarySize increase drives stem cell aging.

cell biology↗

bioRxiv2019

Mass measurements of polyploid lymphocytes reveal that growth is not size limited but depends strongly on cell cycle

Cell size is believed to influence cell growth and metabolism. Consistently, several studies have revealed that large cells have lower mass accumulation rates per unit mass (i.e. growth efficiency) than intermediate sized cells in the same population. Size-dependent growth is commonly attributed to transport limitations, such as increased diffusion timescales and decreased surface-to-volume ratio. However, separating cell size and cell cycle dependent growth is challenging. To decouple and quantify cell size and cell cycle dependent growth effects we monitor growth efficiency of freely proliferating and cycling polyploid mouse lymphocytes with high resolution. To achieve this, we develop large-channel suspended microchannel resonators that allow us to monitor mass of single cells ranging from 40 pg (small diploid lymphocyte) to over 4000 pg, with a resolution ranging from ~1% to ~0.05%. We find that mass increases exponentially with respect to time in early cell cycle but transitions to linear dependence during late S and G2 stages. This growth behavior repeats with every endomitotic cycle as cells grow in to polyploidy. Overall, growth efficiency changes 29% due to cell cycle. In contrast, growth efficiency did not change due to cell size over a 100-fold increase in cell mass during polyploidization. Consistently, growth efficiency remained constant when cell cycle was arrested in G2. Thus, cell cycle is a primary determinant of growth efficiency and increasing cell size does not impose transport limitations that decrease growth efficiency in cultured mammalian cells. Significance statementCell size is believed to influence cell behavior through limited transport efficiency in larger cells, which could decrease the growth rate of large cells. However, this has not been experimentally investigated due to a lack of non-invasive, high-precision growth quantification methods suitable for measuring large cells. Here, we have engineered large versions of microfluidic mass sensors called suspended microchannel resonators in order to study the growth of single mammalian cells that range 100-fold in mass. This revealed that the absolute size of a cell does not impose strict transport or other limitations that would inhibit growth. In contrast to cell size, however, cell cycle has a relatively large influence on growth and our measurements allow us to decouple and quantify the growth effects caused by cell cycle and cell size.

cell biology↗

bioRxiv2016

A comprehensive survey of genetic variation in 20,691 subjects from four large cohorts

The Nurses Health Study (NHS), Nurses Health Study II (NHSII), Health Professionals Follow Up Study (HPFS) and the Physicians Health Study (PHS) have collected detailed longitudinal data on multiple exposures and traits for approximately 310,000 study participants over the last 35 years. Over 160,000 study participants across the cohorts have donated a DNA sample and to date, 20,691 subjects have been genotyped as part of genome-wide association studies (GWAS) of twelve primary outcomes. However, these studies utilized six different GWAS arrays making it difficult to conduct analyses of secondary phenotypes or share controls across studies. To allow for secondary analyses of these data, we have created three new datasets merged by platform family and performed imputation using a common reference panel, the 1,000 Genomes Phase I release. Here, we describe the methodology behind the data merging and imputation and present imputation quality statistics and association results from two GWAS of secondary phenotypes (body mass index (BMI) and venous thromboembolism (VTE)).\n\nWe observed the strongest BMI association for the FTO SNP rs55872725 ({beta}=0.45, p=3.48x10-22), and using a significance level of p=0.05, we replicated 19 out of 32 known BMI SNPs. For VTE, we observed the strongest association for the rs2040445 SNP (OR=2.17, 95% CI: 1.79-2.63, p=2.70x10-15), located downstream of F5 and also observed significant associations for the known ABO and F11 regions. This pooled resource can be used to maximize power in GWAS of phenotypes collected across the cohorts and for studying gene-environment interactions as well as rare phenotypes and genotypes.

epidemiology↗