Biology subjects

Sun, K.

Publications and source records attributed to Sun, K..

At least 37 records · Page 2Linked to original sources

bioRxiv2025

Mechanistic Link Between Glyoxalase 1 Expression and Methylglyoxal-Induced Oncogenic Stress in Prostate Cancer

Prostate cancer (PCa) is the second leading cause of cancer-related death in American men, with African American/Black (AA/B) men experiencing higher incidence and mortality than European American (EA) men. Obesity, which disproportionately affects AA/B men, is linked to increased PCa mortality, potentially through metabolic dysregulation. We hypothesize that methylglyoxal (MG), a reactive byproduct of glucose, lipid, and protein metabolism that is elevated in obesity, contributes to PCa progression. MG forms covalent adducts on DNA, RNA, and protein. We found that MG-adducts are elevated in AA/B men with PCa compared to EA men with PCa, as well as men without PCa. AA/B men with PCa had a higher frequency of SNP rs1049346 in glyoxalase 1 (GLO1), the primary MG detoxification enzyme. PCa cell lines from EA (C4-2) and AA/B (MDA-PCa-2b) men showed differential rs1049346 status, with C4-2 cells heterozygous and MDA-PCa-2b cells homozygous for the variant. This was associated with altered GLO1 expression and activity, with MDA-PCa-2b cells exhibiting reduced GLO1 function and increased MG-adducts compared to C4-2 cells. MG altered DNA repair and RNA processing pathways and induced distinct metabolic shifts in MDA-PCa-2b compared to C4-2 cells, including increased glycolysis and reduced oxidative phosphorylation. Transcriptomic analysis revealed unique MG-induced stress responses including a tenfold higher induction of TXNIP in MDA-PCa-2b vs. C4-2 cells, a gene inversely linked to GLO1 expression and activity. These findings suggest that MG stress may contribute to PCa progression in AA/B men through metabolic reprogramming and impaired detoxification, offering insight into potential precision medicine applications. Statement of SignificancePatients with obesity and diabetes have an elevated risk of cancer mortality. Defining how metabolic alterations contribute to this link is critical to understanding disease progression and identifying strategies to improve outcomes.

cancer biology↗

bioRxiv2025

Metabolic and Redox Pathway Dysregulation in HIV-Associated Coronary Endothelial Dysfunction

BackgroundPeople with HIV (PWH), even with sustained viral suppression on antiretroviral therapy (ART), remain at increased risk for cardiovascular disease. Coronary endothelial dysfunction, a sensitive marker of early vascular injury and a potential target for intervention is common in this population, but its biological basis remains unknown. MethodsWe performed a cross-sectional study combining in vivo coronary MRI and high-throughput serum proteomics to investigate mechanisms of coronary endothelial dysfunction in treated HIV. Forty-five virally suppressed PWH and twenty-nine age- and sex-matched healthy controls underwent coronary MRI during isometric handgrip exercise to quantify coronary endothelial function, defined as the percentage change in coronary cross-sectional area (%CSA) from rest to stress. An increase in coronary CSA <2% indicated endothelial dysfunction. Parallel serum proteomic profiling was performed using the SomaScan 7K platform, and differential protein expression between groups was analyzed using linear modeling (LIMMA). ResultsCoronary endothelial dysfunction was more prevalent in PWH with suppressed viral load compared to controls (67% vs 10%, p<0.001). Pathway analysis of differentially expressed proteins between participants with and without endothelial dysfunction highlighted significant dysregulation of glutathione dependent detoxification, oxidative metabolism and fatty acid {beta}-oxidation pathways in individuals with endothelial dysfunction (adjusted p value <0.05). ConclusionsEndothelial dysfunction in PWH on ART is associated with metabolic and redox imbalance. These findings highlight glutathione and fatty acid oxidation related pathways as potential therapeutic targets for reducing cardiovascular risk in this patient population.

immunology↗

bioRxiv2025

AlphaFlex: Ensembles of the human proteome representing disordered regions

More than two thirds of proteins in the human proteome are predicted to contain intrinsically disordered regions (IDRs), which lack stable folded structure. IDRs are critical for biological regulation and organization, as targets for post-translational modifications, and as mediators of biomolecular condensates. To address the pressing need for better structural models enabling functional insight, we developed AlphaFlex to model fully atomistic conformer ensembles for proteins predicted to have IDRs, modeled in the context of AlphaFold folded domains and an implicit bilayer for transmembrane proteins. The AlphaFlex resource provides conformational ensembles of human proteins from the AlphaFold database with identified IDRs in the Protein Ensemble Database that is mirrored in UniProt. This transformative resource of AlphaFlex ensembles provides physically and biologically relevant full-length models for IDR proteins, including scaffold proteins, those with IDR:folded-domain interactions, regulatory and condensate proteins requiring exposed binding elements, conditionally folding IDRs, and transmembrane proteins containing IDRs.

biochemistry↗

bioRxiv2025

A universal law of thermodynamics-kinetics coupling shapes enzyme allocation and glycolytic efficiency across species

Efficient use of limited cellular resources is fundamental to metabolism. Although flux optimization is widely recognized as a central objective of metabolic networks, how flux efficiency influences the allocation of the metabolic proteome remains unclear and lacks direct validation. Here, we derive a simple analytical relationship linking the equilibrium constant and the catalytic-abundance quotient of reactions within a pathway that defines the condition for maximal efficiency. We refer to this principle as the law of thermodynamics-kinetics coupling. By integrating reaction thermodynamics, enzyme kinetics, transcriptomic, and proteomic data, we show that glycolytic enzyme allocation consistently obeys this law across evolutionarily distant species. Moreover, the drive to optimize glycolytic efficiency is strengthened under oncogenic signaling and limited cellular budget for glycolytic enzymes. These findings establish a universal principle governing enzyme allocation in metabolic pathways and reveal key determinants of efficiency optimality in glycolysis. Significance statementCurrent models of metabolic optimality either rely on coarse-grained proteome allocation or constraint-based simulations, largely neglecting the fundamental constraints imposed by enzyme kinetics and thermodynamics on pathway efficiency. Here, we derive and validate a universal law of thermodynamics-kinetics coupling that robustly governs the allocation of glycolytic enzymes across species under optimal efficiency. This study has three major advances: it reveals universal economic principles of metabolism with simple, generalized mathematical form, uncovers determinants underlying the heterogeneity of metabolic efficiency optimization, and provides a practical blueprint for efficiency optimization of engineered pathways.

systems biology↗

bioRxiv2025

TBK1 activity regulates the directionality of axonal transport of signalling endosomes

The polarised and complex morphology of neurons pose massive challenges for efficient cargo delivery between the axon and soma, a process termed axonal transport. We have previously shown that the retrograde axonal transport of pro-survival, neurotrophic signalling endosomes relies on Rab7 in motor neurons, and that their trafficking is impaired in the early stages of amyotrophic lateral sclerosis (ALS) pathogenesis. Here, we report the effect of Rab7 phosphorylation on the transport of these signalling endosomes. We show that the ALS-linked kinase TBK1 phosphorylates Rab7 at S72 in neurons, altering its binding to cytoplasmic dynein adaptors. Accordingly, both TBK1 knockdown and the expression of a loss-of-function Rab7 mutant (S72E) induce aberrant bidirectional movement of signalling endosomes without modifying neuronal polarity or endosomal sorting. This alteration is specific for signalling endosomes, as axonal transport of lysosomes and mitochondria remain unaffected. We have therefore discovered a new TBK1 function that ensures the unidirectional transport of signalling endosomes, suggesting that reduced TBK1 activity determines retrograde transport dysfunctions and long-range signalling impairments. SummarySignalling endosomes travel from the distal axon to the cell body, exerting pro-survival functions. TBK1, an ALS-linked kinase, governs the directionality of signalling endosome transport in motor neurons by phosphorylating Rab7. Thus, loss of TBK1 function results in long-range signalling impairment.

neuroscience↗

bioRxiv2025

Cell-free DNA fragmentomic characteristics in transposon elements inform molecular regulators and enhance cancer diagnosis

Fragmentomics of plasma cell-free DNA (cfDNA) are emerging diagnostic biomarkers in cancer liquid biopsy, while the molecular regulations of cfDNA fragmentation remain elusive. In this study, we investigated the cfDNA fragmentomics in transposon elements (TEs), a special category of sequences accounting for around half of human genome. We discovered dynamics in fragmentomic features across various types of TEs in human cfDNA, including size, ending patterns and coverage, which were validated in mice and dogs. These dynamics highly correlate with epigenomic features associated with chromatin states, including DNA methylation and histone modification signals, demonstrating fundamental regulatory roles of chromatin state in cfDNA production. Furthermore, fragmentomic features within TEs were significantly altered in cancer samples, offering improved diagnostic performance compared to genome-wide fragmentomic measurements. Additionally, cfDNA coverage in TEs showed frequent imbalances between cancer and control samples in a TE- and cancer type-dependent manner, presenting a promising biomarker for cancer diagnosis. Leveraging artificial intelligence (AI) on cfDNA fragmentomic features within TEs, we developed high-performance models, named TEANA (TE Analysis in cell-free DNA), for cancer diagnosis and tumor-origin prediction. The models were validated across two pan-cancer datasets with more than 1600 samples. Hence, dynamics of cfDNA fragmentomics within TEs, which is highly correlated with cfDNA epigenomics, shed light on the regulatory mechanism of cfDNA biology and highlight translational potential in cancer liquid biopsy.

cancer biology↗

bioRxiv2025

Cancer-like fragmentomic characteristics of somatic variants in cell-free DNA

Cell-free DNA (cfDNA) in plasma consists of short DNA fragments resulting from a non-random fragmentation process, with distinct "fragmentomic" characteristics that are related with their cellular origins. Despite the wealth of low-pass whole genome sequencing data from recent cancer liquid biopsy studies, somatic variants within this data have often been overlooked without detailed characterization. Here, we reported that in low-pass sequencing data, somatic variant signatures in cfDNA markedly differ between non-cancerous controls and cancer patients, indicating that tumor-associated signals are retained in these variants. Surprisingly, our investigation into cfDNA fragmentomics showed that even in controls, cfDNA molecules harboring somatic variants exhibit cancer-like traits, such as reduced size, decreased DNA methylation, and altered end motif usages and distributions in the nucleosome structure. Importantly, these somatic variants-associated fragmentomic aberrations are more pronounced in cancer patients, enabling cancer diagnosis. In a large pan-cancer cohort, we utilized artificial intelligence to integrate genomic, fragmentomic, and epigenomic features, developing diagnostic models named FreeSV (Fragmentomic and epigenomic examinations of Somatic Variants in cfDNA) and FreeSV-m. Leveraging somatic variant-associated features alone, the FreeSV model achieved area under the ROC curves (AUCs) between 0.81-0.92 across cancer types; however, when genomewide features were also included, the AUCs of FreeSV-m model substantially increased to 0.93-0.99 across cancer types, highlighting the significance of integrative genomic and fragmentomic analyses in cfDNA for cancer liquid biopsy.

cancer biology↗

bioRxiv2025

Presence of Hepatitis B virus infection in colon cancer

Hepatitis B virus (HBV) infection affects [~]300 million people worldwide, which population is at an elevated risk of various cancers, such as gastrointestinal cancer, while the matter behind is largely unclear. In this study, we analyzed 10 colonic specimens from 6 colon cancer patients who were also chronic HBV carriers through Fluorescence-activated Cell Sorting and Immunofluorescence assay to inspect the expression of HBsAg (HBV surface antigen), NTCP (current known cellular receptor of HBV) and CD45 (common marker for immune cells) proteins in single-cell resolution. We found that presence of HBsAg in colonic cells was observed in specimens from all patients, and the proportions of HBV-infected cells were higher in tumors than normal tissues. Strikingly, HBsAg in both immune cells and NTCP-negative cells were also observed in all the patients. In vitro experiments further demonstrated that colonic cells expressing NTCP were indeed highly suspectable to HBV infection. Hence, HBV could infect colonic cells (including immune ones) and may play roles during tumorigenesis in colon cancer.

cancer biology↗

bioRxiv2025

Functional Neural Connectivity of the Mouse Brain using Photoacoustic Ultrasound Imaging

Brain connectomes are insightful models that describe the connectivity of different regions throughout the brain. These connectomes are traditionally generated through temporal correlation of blood oxygen level dependent (BOLD) signals detected by functional magnetic resonance imaging (fMRI). Photoacoustic ultrasound (PAU) can also detect oxygenation levels while being more accessible and cost effective than fMRI. We propose the use of PAU to generate brain connectomes as an alternative to fMRI. In this study we successfully developed a pipeline for processing PAU data from whole brain scans of mice models and found that the connectomes it produced were comparable to those generated by fMRI, particularly, in detecting connections previously documented in the literature. Our findings suggest that PAU is a promising alternative to fMRI for mapping brain connectome, offering advantages in sensitivity and accessibility, making it a valuable tool for future research on brain connectivity.

bioengineering↗

bioRxiv2025

CHIEF: An Attention-based Ensemble Learning Framework for Functional Protein Design

Protein de novo design is a longstanding challenge in biological field due to the multifaceted physicochemical properties and complexities of proteins. Several deep learning models have emerged for protein de novo design. However, each model exhibits distinct strengths and limitations because of the differences in training strategies or neural network architectures. Therefore, improving the effectiveness of protein design, particularly for functional protein, requires further improvement. To tackle this challenge, we developed CHIEF (Chimera Ensemble Inverse Folding), an attention-based ensemble framework that integrates five pretrained base models (ProteinMPNN-vanilla, ProteinMPNN-soluble, ESM-IF, Frame2seq and PiFold) to leverage their complementary strengths and mitigate limitations. Compared with the base models, CHIEF significantly improved the sequence recovery rate by 16.6-28.0%, while reducing the prediction perplexity by 22.7-34.6%. CHIEF also exhibited superior protein-designing capacity in variable sequence- and structure-based metrics and in large and complex proteins. CHIEF dynamically captured the semantic information from base models in a context-dependent manner and was minimally affected by the ablation of each base model. More importantly, CHIEF demonstrates real-world applicability to design functional malate dehydrogenase (MDH), achieving a 100% success rate. In summary, our study develops an ensemble deep learning model that improves the efficacy of protein sequence design, and will be a valuable platform for protein engineering and drug development.

bioengineering↗

bioRxiv2025

Machine learning ensemble identifies distinct age-related response to spaceflight in mammary tissue

BackgroundSpaceflight presents unique environmental stressors, such as microgravity and radiation, that significantly affect biological systems at the molecular, cellular, and organismal levels. Astronauts face an increased risk of developing cancer due to exposure to ionizing radiation and other spaceflight-related factors. Age plays a crucial role in the bodys response to the cellular stresses that lead to cancer, with younger organisms generally exhibiting more efficient response mechanisms than older ones. The vast majority of research investigating breast cancer risk from spaceflight is done in vitro, using cell lines exposed to simulated radiation and microgravity. ObjectivesThe primary objective of this observational study is to characterize the response to spaceflight of in vivo murine mammary tissue and identify the molecular biomarkers enriched in this response using mice flown on the International Space Station. The secondary objective is to determine if age plays a role in this response. MethodsThe NASA Open Science Data Repository (OSDR) has curated transcriptomic data obtained from murine mammary tissue in a controlled experiment (OSD-511) which includes 43 young and old female mice. In this study, we utilized an ensemble of four machine learning binary classifiers (logistic regression, support vector machine, random forest, and single-layer perceptron) to analyze gene expression profiles to predict age (old vs young) and condition (spaceflight vs ground control). Using the genes our ensemble identified as most predictive, we performed pathway enrichment analysis to investigate the molecular pathways involved in spaceflight-related health risks, particularly in the context of breast cancer. ResultsAll space-flown mice responded to spaceflight with evidence of systemic metabolic reprogramming and mitochondrial adaptation to microgravity and radiation as compared to their 33 ground control counterparts. For the 10 mice flown in space, older mice exhibited chronic, significantly enriched pathways related to cell adhesion and extracellular matrix (ECM) structure, while younger mice showed acute activation of pathways involved in cortisol synthesis and adrenergic stress response (with false discovery rate adjusted q-values < .001). These results provide putative biomarkers for monitoring and treating breast cancer. ConclusionsThese findings highlight the critical role of age in modulating the response to spaceflight-induced stress and suggest that these molecular pathways may contribute to differential outcomes in tissue homeostasis, metabolic disorders, and breast cancer tumorigenesis. Moreover, our computational methodology may be applied to several unexplored datasets in OSDR and beyond.

bioinformatics↗

bioRxiv2025

Early cell cycle genes in cortical organoid progenitors predict interindividual variability in infant brain growth trajectories

Human induced pluripotent stem cell (iPSC) derived cortical organoids (hCOs) model neurogenesis on an individuals genetic background. The degree to which hCO phenotypes recapitulate the brain growth of the participants from which they were derived is not well established. We generated up to 3 iPSC clones from each of 18 participants in the Infant Brain Imaging Study, who have undergone longitudinal brain imaging during infancy. We identified consistent hCO morphology and cortical cell types across clones from the same participant. hCO cross-sectional area and production of cortical hem cells were associated with in vivo cortical growth rates. Cell cycle associated genes expression in early progenitors at the crux of fate decision trajectories were correlated with cortical growth rate from 6-12 months of age, and were enriched in microcephaly and neurodevelopmental disorder genes. Our data suggest the hCOs capture inter-individual variation in cortical cell types influencing infant cortical surface area expansion.

neuroscience↗

bioRxiv2024

Candida albicans induce hypoxia response via activating EGFR to promote colorectal cancer progression

Colorectal cancer (CRC) is the third leading cause of cancer-related mortality worldwide. Gut microbiota, including fungal species, are increasingly implicated in CRC progression, while the molecular mechanisms underlying host-fungal interactions in this context remain poorly understood. Here, we show that Candida albicans (C. albicans) activates pro-metastatic signaling pathways, MAPK and NF-{kappa}B, leading to upregulation of oncogenic transcription factors c-Jun and c-Myc. This cascade stabilizes and activates hypoxia-inducible factor 1 (HIF-1), a central regulator of tumor metabolic reprogramming and angiogenesis, ultimately fostering a pro-tumorigenic microenvironment. Mechanistically, we identify candidalysin, a secreted peptide toxin of C. albicans, as a critical effector that engages epidermal growth factor receptor (EGFR) and toll-like receptor 2 (TLR2) with context-dependent effects across different epithelial models. These findings are further supported by patient-derived colonic organoids. Collectively, our study delineates a C. albicans-EGFR/TLR2-ERK/NF-{kappa}B-HIF-1 axis that promotes hypoxia-like responses in CRC, revealing a previously underappreciated role of fungal pathogens in shaping the tumor microenvironment and highlighting avenues for future in vivo investigation.

cancer biology↗

bioRxiv2024

Accurate de novo design of a voltage-gated anion channel

Ion channels gated by environmental cues play key roles in fundamental biological processes. Designing ion channels with tailored gating mechanisms remains a significant challenge due to the complexities involved in designing conformational changes in proteins. Here we report the accurate de novo design of a voltage-gated anion channel, namely VGAC. VGAC adopts a 15-helix pentameric structure featuring a constriction composed of five arginine residues within the transmembrane span. In patch-clamp experiments, VGAC showed strictly voltage-dependent currents and demonstrated selectivity for chloride anions over iodide anions. Our data suggests that the arginine constriction undergoes voltage-induced conformational changes, serving as both the voltage sensor and selectivity filter. A 2.9-[A]-resolution cryo-electron microscopy structure of VGAC closely aligns with the design model. The ability to design ion channels with custom-designed conformational changes provides new insights into our understanding of the fundamental principles of membrane biophysics and unveils a wide range of potential applications.

synthetic biology↗

bioRxiv2024

Time-resolved fluorescent proteins towards fluorescence microscopy in the temporal and spectral domains

Fluorescence microscopy has been widely applied in life sciences. While steady-state fluorescence intensity is mostly used, the time-resolved detection mode relying on fluorescence lifetime remains underexplored. Herein, we present a family of time-resolved fluorescent proteins (TRFP). Using a strategy that regulates lifetime without affecting spectra of FPs, we have developed different TRFPs that cover the visible spectrum and a wide range of lifetime. TRFPs are employed in the temporal-spectral resolved microscopy, allowing the simultaneous imaging of 9 different proteins in live cells and correlation of multiple activities to cell cycles. Finally, TRFPs are integrated into multiplexing super-resolution microscopy to concurrently visualize 4 proteins in live cells, acquiring a remarkable 50 nm spatial resolution using lifetime as signal. TRFPs represent a transformative toolset towards fluorescence microscopy in both the temporal and spectral domains. Beyond the multiplexing imaging, TRFPs could introduce unprecedented opportunities of system complexity and quantitative accuracy into biological research.

biochemistry↗

bioRxiv2024

A Modular Bacteriophage T4 Nanoparticle Platform Enables Rapid Design of Completely Protective Multivalent Mucosal Dual Vaccine Against COVID-19 and Flu

A multivalent, rapidly deployable, mucosal vaccine platform is desperately needed to prevent the acquisition and transmission of respiratory infections during epidemics and pandemics. We present one such bacteriophage T4-based platform, and design of dual COVID-19-Flu mucosal vaccines by exploiting its unique architecture. These include: T4s natural affinity for nasal mucosa, flexible engineering to incorporate multiple antigens, and repeat and symmetric epitope presentation for enhanced B cell responses. Hundreds of SARS-CoV-2 spike trimers and nucleocapsid proteins, and influenza hemagglutinin trimers and M2e peptides, were incorporated into a single phage, creating the highest density nanoparticle presentation yet reported. Intranasal administration of adjuvant-free vaccine induced robust mucosal immunity in mice including, neutralizing antibody and secretory IgA, lung-resident CD4+/CD8+ T cells, diverse memory B cells, and complete protection against SARS-CoV-2 and influenza challenges. The noninfectious T4 phage offers an extraordinary platform to rapidly design potent mucosal vaccines against emerging bacterial and viral threats.

microbiology↗

bioRxiv2024

A first-in-kind MAPK13 inhibitor that can correct stem cell reprogramming and post-injury disease

The stress kinase MAPK13 (aka p38delta-MAPK) is an attractive entry point for therapeutic intervention because it regulates the structural remodeling that can develop after epithelial injury in the lung and likely other tissue sites. However, a selective, safe, and effective MAPK13 inhibitor is not yet available for experimental or clinical application. Here we identify a first-in-kind MAPK13 inhibitor using structure-based drug design combined with a screening funnel for cell safety and molecular specificity. In a mouse model of severe respiratory viral infection, treatment with this inhibitor (formulated as NuP-4A for intravenous use or Nu4-B for inhaled delivery) did not influence recovery from acute infectious illness, but still down-regulated basal-epithelial stem cell (basal-ESC) hyperplasia/metaplasia and in turn airway inflammation, mucus production, and pathophysiology biomarkers of chronic lung disease. Treatment prevented and reversed disease readouts equivalently to Mapk13 gene-knockout, and this benefit persisted after stopping treatment as a sign of disease modification. Further, NuP-4 treatment even at pM levels directly blocked basal-ESC reprogramming endpoints in organoid and cell-culture models derived from non-disease control and asthma subjects. The results thereby provide a new tool compound and drug candidate for basal-ESC reprogramming towards muco-obstructive lung diseases like asthma and any overlap with COPD and related diseases that depend on overactivity of MAPK13.

immunology↗

bioRxiv2024

Temporal Dynamics and Adaptive Mechanisms of Microbial Communities: Divergent Responses and Network Interactions

Microbial communities are integral to aquatic ecosystems, playing key roles in biogeochemical cycles, nutrient recycling, and ecosystem functioning. Despite their importance, the temporal dynamics of these communities, especially in response to short-term environmental changes, remain inadequately understood. This study utilizes high-throughput amplicon sequencing and Co-occurrence network analysis to elucidate how prokaryotic and eukaryotic microbial communities dynamically respond to short-term environmental fluctuations, and dynamics of networks. Our results reveal distinct temporal patterns, with eukaryotic communities showing consistent increases in diversity, while prokaryotic communities exhibited more pronounced fluctuations and directional changes. Co-occurrence network analysis further highlighted the differences in community structure between phases of homogenization and heterogenization. Specifically, we observed a shift from a more modular network during the homogenization phase to a more centralized network in the heterogenization phase, resulting in increased network fragility. Environmental factors, such as nutrient levels and climatic conditions, were found to play pivotal roles in shaping these dynamics. This study provides critical insights into the resilience and adaptability of microbial communities, emphasizing the intricate interplay between biodiversity, network structure, and ecosystem stability under varying environmental conditions.

microbiology↗