Biology subjects

Han, A.

Publications and source records attributed to Han, A..

At least 19 recordsLinked to original sources

bioRxiv2026

Agent K: An Agent-Orchestrated Pipeline for Mapping Genes to Biosynthetic Pathway towards Metabolite Discovery

The identification of biosynthetic gene clusters (BGCs) and their associated metabolic path- ways is central to genome-guided natural product discovery. However, existing computational tools depend on fragmented workflows for data processing, annotation, and analysis, which re- quire substantial manual intervention and lack seamless integration across heterogeneous plat- forms and tools. Here, we present, Agent K, an agent-orchestrated framework that automates the end-to-end process from bacterial whole genome sequence analysis to biosynthetic pathway mapping and metabolite discovery as candidate gene products for functional insights. The sys- tem employs a large-language-model (LLM) agent to coordinate multiple bioinformatics tools, enabling dynamic execution, data integration, result interpretation, and flexible and intuitive visualization. By integrating genomic sequences to functional annotations and pathway-level reconstructions, the framework facilitates the identification of candidate gene products, their biosynthetic pathways associated with individual BGCs, and the putative metabolites produced by those pathways. The developed novel agentic framework provides a user-friendly scalable and extensible solution for automated high-throughput analysis and mapping of bacterial secondary metabolism pathways for interactive exploration of candidate potential.

bioinformatics↗

bioRxiv2026

Disrupted Brain Organoid Circuitry, Structural Organization, and Spine Morphology in 7q11.23 Copy Number Variant Syndromes

The 7q11.23 chromosomal region represents a model of gene dosage-dependence, where a hemizygous deletion causes Williams Syndrome (WS) and a duplication leads to 7q11.23 Duplication Syndrome (Dup7). It is not understood how these copy number variations (CNVs) disrupt development and functional cortical circuit assembly. Utilizing iPSC-derived cerebral organoids and longitudinal imaging from post-differentiation day 30 to 150, we characterized the aberrant neural rosette morphogenesis in WS and Dup7 during early stages, establishing an early structural divergence from control lines. We observed accelerated early cortical rosette morphogenesis in WS, characterized by a premature increase in both rosette number and layer thickness compared to controls. In contrast, Dup7 organoids consistently exhibit a significantly lower number and reduced thickness of rosettes from early stages onward. This early structural disruption progressively impacted synaptic-level architecture as the organoids matured. Dendritic spine characterization at later stages revealed Dup7 organoids exhibited a significantly higher dendritic spine density compared to WS. Pharmacological antagonism of CCR5 (C-C chemokine receptor type 5) with Maraviroc significantly enhanced dendritic spine density in control and WS organoids; however, this effect was absent in Dup7. To determine how these structural anomalies translate into circuit-level behavior, we performed longitudinal calcium imaging using GCaMP. Control organoids sustained synchronized activity and high spike correlations at all time points. This synchronization was delayed and highly transient in WS organoids, and completely abolished in Dup7 organoids, which exhibit significantly low spike correlations at all stages. Developmentally, GABA changes from acting as an excitatory signal in the immature brain to an inhibitory signal as the brain matures. As control lines matured gabazine-induced desynchronization progressively diminished, but persisted in WS organoids. Dup7 organoids failed to establish synchronization at any developmental time point, but displayed a negligible increased synchrony following gabazine treatment. These functional aberrations were paralleled by genotype-specific defects in structural organization, specifically in rosette morphogenesis and dendritic spine density. Collectively, our findings demonstrate that 7q11.23 CNVs trigger pathogenic neurodevelopmental defects by derailing the trajectories of structural organization, circuit assembly, and functional synchronization during cortical maturation.

neuroscience↗

bioRxiv2026

A Synthetic Microbial Therapy Rewires Antitumor Immunity Across Multiple Cancer Types

Microbial immunotherapies show promise against cancer, yet broad efficacy and mechanistic insight remain elusive. Here, we introduce SPIKE 1.0 (S1.0), a metabolically engineered bacterium that converts tryptophan into immunomodulatory hydroxyindoles via tryptophan monooxygenase to remodel the tumor microenvironment (TME). A single systemic dose of S1.0 elicited potent, durable antitumor responses across multiple murine models, including humanized mice, with minimal toxicity. S1.0 enhanced inflammatory signaling, activated innate and adaptive immunity, and promoted T cell persistence, memory, and resistance to exhaustion. It outperformed checkpoint inhibitors and synergized with chemotherapy. Multi-omics profiling revealed that S1.0 rewired amino acid metabolism in tumor-infiltrating immune cells and disrupted immunosuppressive networks. These results establish S1.0 as a scalable, cost-effective microbial immunotherapy with broad translational potential for solid tumors.

immunology↗

bioRxiv2026

DPP9-mediated inflammasome repression protects against checkpoint inhibitor lung toxicity

Over one million patients receive cancer immunotherapy annually, yet the mechanisms underlying life-threatening immune-mediated toxicities remain poorly understood. Checkpoint inhibitor pneumonitis (CIP) is the leading cause of immunotherapy-related mortality, with a case fatality rate approaching 10%, and no genetic risk factors have been described to date. We identified Dipeptidyl-peptidase 9 (DPP9) as the first genetic susceptibility gene for CIP in a clinico-genomics cohort of 4,397 patients treated with immune checkpoint inhibitors. Mechanistically, DPP9 suppresses CARD8 inflammasome activation and IL-18 secretion in human monocytes, a pathway which is engaged prior to CIP onset, with IL-18 selectively elevated in the plasma of patients who subsequently develop CIP. Myeloid-restricted ablation of Dpp8 and Dpp9 in mice recapitulated the pulmonary histopathological and immunological hallmarks of CIP, including granuloma formation, accumulation of IFN{gamma}-producing T cells and monocyte-derived macrophages. Each of these phenotypes were driven by excessive IL-18 secretion. Together, these findings establish DPP9 as a genetic determinant of CIP and nominate IL-18 blockade as a mechanistically rational therapeutic strategy.

immunology↗

bioRxiv2026

Reverse genetics in humanized mice reveals CARD8-mediated pyroptosis causing pancytopenia in human DPP9 deficiency

Loss of function mutation in the human DPP9 gene causes Hatipoglu syndrome leading to severe inflammasomopathy. A key feature of the disease is pancytopenia and patients require bone marrow transplantation, but the mechanism of cell loss is unclear since Dpp9 mutant mice have normal hematopoiesis, suggesting that a distinct mechanism of disease occurs in humans. Here, we present a model of human DPP9 deficiency leveraging reverse genetics in the MISTRG6 humanized mice. We found that CRISPR editing of human CD34+ hematopoietic stem and progenitor cells (HSPCs) led to very efficient and persistent gene deletion in vivo. Human DPP9 deletion recapitulated cytopenia in peripheral blood and in the bone marrow, and cell loss was cell intrinsic. However, DPP9 deletion led to little transcriptional changes suggesting post-transcriptional regulation in human HSPCs. Mechanistically, DPP9 deficiency led to the activation of the CARD8 inflammasome resulting in HSPC pyroptosis, whereas NLRP1 was dispensable for cell death. Thus, our results reveal a unique human mechanism of disease and offer therapeutic insight for this inflammasomopathy.

immunology↗

bioRxiv2026

Loss of contractile pericytes and their impaired calcium dynamics exacerbate brain ischemic stroke of awake mice in acute and chronic phases

Ischemic stroke disrupts neurovascular uncoupling, in which neuronal activity fails to evoke appropriate microvascular blood flow responses, despite successful recanalization of upstream arteries. The cellular mechanisms underlying this dysfunction remain poorly defined. We examined Ca{superscript 2} signaling and contractile dynamics of vascular smooth muscle cells, precapillary sphincters and contractile pericytes, using two-photon microscopy and laser speckle imaging in awake mice subjected to transient middle cerebral artery occlusion. During occlusion, precapillary sphincters exhibited pronounced Ca{superscript 2} elevations and constriction, amplifying downstream capillary resistance. Following reperfusion, elevated Ca{superscript 2} signals persisted without proportional diameter changes, indicating early uncoupling between Ca{superscript 2} dynamics and vascular responses. In the chronic phase, loss of precapillary sphincters-associated contractile pericytes was associated with capillary dilation and persistent neurovascular uncoupling. Although partial recovery of pericyte coverage and Ca{superscript 2} activity occurred, stimulus-evoked vascular responses remained blunted. These findings highlight precapillary sphincters as a key contributor to ischemia-induced microvascular dysfunction.

neuroscience↗

bioRxiv2026

Spatiotemporally distinctive astrocytic and neuronal responses to repetitive intracortical microstimulation

Astrocytes are increasingly recognized as active modulators of neuronal synaptic transmission. Intracortical microstimulation (ICMS) is widely used to manipulate neuronal activity, yet the accompanying astrocytic responses remain poorly characterized. Using dual-color in vivo two-photon calcium imaging to simultaneously monitor neurons and astrocytes, we show that ICMS elicits astrocytic activation with spatiotemporal features that diverge from those of neurons. Astrocytes were recruited at stimulation intensities as low as 10A, thresholds sufficient to activate neurons, indicating that astrocytes robustly sense electrical perturbation. Unlike neurons, however, astrocytic responses were spatially heterogeneous and temporally variable across trials. At higher stimulation intensities (>=50A), astrocytic responsiveness, i.e., response peak amplitude, and number of responsive trials, progressively attenuated across repeated trials, in contrast to the stable and consistent neuronal responses. Although neuronally driven, astrocytes exhibited a distinct response profile under the same stimulation parameter, revealing a unique component of electrically evoked cortical activity that underscores the importance of incorporating glial physiology into future neuroprosthetic strategies.

neuroscience↗

bioRxiv2025

PERFECT PCR: Advancing DNA Data Storage to Near-Maximal Density

DNA-based data storage offers unprecedented storage density and durability compared to traditional media, but it faces challenges in long access latency and limited encoding efficiency. Current DNA storage methods achieve only 8% of the theoretical maximum storage density (TMSD) due to biological constraints and error rates. Here, we demonstrate an approach that improves both synthesis speed and encoding density, bringing DNA data storage closer to practical implementation. We describe Polymerase-Enabled Rapid and Frugal Error Correcting Technology (PERFECT) PCR, which integrates PCR with hyperthermophilic EndoNucS enzymes for efficient DNA mismatch detection and cleavage, enabling accurate and fast DNA synthesis using overlapping oligonucleotides. This approach reduced latency while streamlining the overall DNA synthesis process, achieving significantly lower error rates in amplicons compared to state-of-the-art methods, thereby reducing physical redundancy. Specifically, we achieved a substantially reduced error rate of 0.06 errors per kilobase, with 95% of sequences verified as accurate. As a result, our technique reached 94% TMSD, representing a twelve-fold improvement over current systems and approaching the theoretical limit for existing sequencing technologies. We further validated the versatility of PERFECT PCR by successfully encoding and retrieving digital images, music files, and multilingual text files with near-perfect information recovery. By addressing the core challenges of latency, density, and accuracy, our approach brings DNA-based data storage significantly closer to practical implementation. In addition, the accurate DNA synthesis methods described here may be applied to de novo genome assembly and therefore have broad implications for the synthesis and analysis of biological systems. SUMMARYLow cost, rapid, and error free de novo DNA synthesis for DNA-based data storage and gene synthesis applications.

bioengineering↗

bioRxiv2025

Epitope and functional classification of human neutralizing antibodies against SFTSV Gn

Severe fever with thrombocytopenia syndrome virus (SFTSV) is a lethal bunyavirus lacking approved countermeasures. From SFTS survivors, we isolate 84 human monoclonal antibodies (mAbs) against the viral glycoproteins Gn and Gc. Gn-specific mAbs demonstrate superior neutralization breadth and potency compared to the restricted neutralizing activity observed with Gc. Using a high-throughput yeast display deep mutational scanning (DMS) platform, we classify Gn-head mAbs into eight epitope groups, among which four groups (IA, ID, IIIA, IIIB) conferring neutralization. Notably, mAbs BD70-4003 (group IA) and BD70-4017 (group IIIA) exhibit broad neutralization and provide 100% protection in a lethal mouse model. Cryo-EM structural analysis of these mAbs in complex with the Gn-head reveal their binding interfaces, directly validating the epitope residues identified by DMS. Our study delineates the antigenic landscape of SFTSV Gn, identifies potent therapeutic candidates, and establishes DMS coupled with structural validation as a powerful framework for antibody discovery against bunyavirus.

immunology↗

bioRxiv2025

Updated binding model for a splicing factor, PTBP1 (Polypyrimidine Tract Binding Protein1)

RNA-binding proteins (RBPs) are central regulators of post-transcriptional gene expression, and identifying their RNA targets is essential for understanding transcriptome dynamics. Predictive computational models enable the identification of RBP binding sites from RNA sequences in silico, complementing experimental assays. We previously developed a PTBP1 binding model based on a Hidden Markov Model (HMM) that utilized overlapping nucleotide triplets but was limited due to the assumption of independence between triplets. In this study, we present an improved PTBP1 binding model using Transcription Factor Flexible Models (TFFMs), which relax this assumption and accommodate flexible-length motifs. Trained on PTBP1 CLIP-seq data from HeLa cells, the TFFM-based approach captures positional dependencies among nucleotides, consistent with known PTBP1 binding motifs, and achieves improved predictive performance. The updated model shows a stronger correlation with experimental binding affinities (r = -0.95) compared to the previous HMM (r = -0.91) and maintains specificity by correctly scoring non-binding RNA substrates. This work highlights the advantage of flexible, context-aware modeling frameworks in predicting RBP-RNA interactions and offers a more accurate tool for studying PTBP1 binding specificity.

bioinformatics↗

bioRxiv2025

PRISM: A platform for illuminating viral dark matter

The exploration of bacteriophage diversity remains constrained by reliance on conventional plaque assays, which bias discovery toward phages that form visible plaques and propagate efficiently. The discovery process, as well as measuring correct phage concentrations and phage resistance frequencies, are also time-consuming and labor intensive. Here, we present PRISM (Phage Recovery and Investigation in Single-droplet Microenvironments), a droplet microfluidics-based, plating-independent platform for the high-throughput isolation, quantification, and characterization of bacteriophages. By encapsulating phage-host interactions in water-in-oil microdroplets at single-phase resolution, and then coupling them with fluorescence-based detection and sorting at million-droplet scale, PRISM enables rapid identification of novel phages, including those that evade detection in conventional assays. We demonstrate PRISMs capabilities across several key applications: (i) recovery of both novel "plaquing" and "non-plaquing" Salmonella phages from a concentrated environmental sample, where PRISM recovered multiple representatives of a non-plaquing genus completely missed by conventional plating-based approaches; (ii) accurate titering of poor-plaquing phages such as Rhodococcus phage ReqiDocB7, for which PRISM reported a 2-fold higher titer than conventional plaque assays; and (iii) plating-free determination of phage resistance frequency, with PRISM yielding resistance and lysogeny frequencies (e.g., 1 in 4.4 x 105 cells for T7 Escherichia phage resistance and 1 in 21 cells for Escherichia Lambda phage lysogeny) that closely match conventional estimates. These data highlight PRISMs enhanced resolution and accuracy, as well as its ability to detect rare, non-plaquing, or slow-replicating phages, in a high speed and automated fashion, thereby underscoring the platforms power to access viral "dark matter" traditionally overlooked using conventional methods.

microbiology↗

bioRxiv2025

Single-Cell and Population-Level Neuromodulation Dynamics in Dual-Electrode Intracortical Stimulation

In neuroprosthetics, intracortical microstimulation (ICMS) recruits cortical networks to evoke brain responses and sensory perceptions. However, multi-electrode ICMS often generates suboptimal percepts compared to single-electrode ICMS, suggesting nonlinear neuromodulation rather than simple summation by multi-electrode ICMS. Yet, the factors and mechanisms underlying this modulation remain poorly understood. To investigate multi-electrode ICMS, we combined two-photon calcium imaging with a well-controlled dual-electrode ICMS in the mouse visual cortex to investigate how neurons integrate converging ICMS inputs at varying intensities. We found that stimulation intensity significantly shapes neuromodulation at both single-cell and population levels. Specifically, low intensities (5-7 {micro}A) have a minimal effect on neural responses. At intermediate intensities (10-15 {micro}A), we observed diverse, nonlinear bipolar modulation--both enhancement and attenuation--at the single-cell level. However, we achieved net enhancement at the population level. At higher intensities (15-20 {micro}A), although the proportion of modulated neurons increased in both enhancement and attenuation directions, the net effect at the population level was neutral (zero modulation). Furthermore, neurons strongly responsive to single-electrode ICMS were more likely to be attenuated, while weaker responding cells exhibited enhanced modulation. The strongest neuromodulatory effects occur at intermediate spatial distances in between the two electrodes. Computational modeling based on spiking neural network composed of adaptive exponential integrate-and-field neurons implicated the importance of inhibitory network dynamics and network variability as key mechanisms. Our experimental data was used to train an advanced deep learning approach, which successfully predicted the neuromodulation patterns induced by dual-electrode ICMS. Our findings reveal intensity- and spatial-dependent rules of neuromodulation by ICMS, providing necessary insights to optimize multi-electrode ICMS for neuroprosthetic applications. Significance statementUnderstanding how cortical neurons integrate concurrent inputs from multi-electrode intracortical microstimulation (ICMS) is essential for advancing neuroprosthetic technologies. We show that dual-electrode ICMS evokes distinct, predictable neuromodulatory effects that depend on (i) stimulation intensity, (ii) a neurons baseline responsiveness to single electrode input, and (iii) its proximity to the electrodes. Low and intermediate intensity dual-electrode ICMS amplifies neural activity compared to single-electrode ICMS, whereas high-intensity stimulation leads to attenuation, limiting net activation.

neuroscience↗

bioRxiv2025

Mycobacterium tuberculosis effector protein PE5 hijacks the host CRL2 ubiquitin ligase complex

Mycobacterium tuberculosis (Mtb) is the leading infectious killer and infects one quarter of the global population. During infection, Mtb evade host immune responses via secreted effector proteins that interfere with, modulate, and protect from potent antibacterial responses. One such class of mycobacterial effector proteins are the PE/PPE proteins, a huge family of proteins encoded by an impressive 10% of the Mtb genome. Because some PE/PPEs have demonstrated roles in immune regulation and host cell interaction, and because of the sheer number of PE/PPEs in pathogenic mycobacteria ([~]170-200+ members depending on the species), they are thought to contribute to Mtb virulence and pathogenesis. However, the cellular functions of Mtbs 169 PE/PPE proteins have yet to be comprehensively characterized, at least in part because of their high GC content and large regions of extremely repetitive regions found both in DNA and amino acid sequences. One member of this family, PE5, is likely critical for mycobacterial pathogenesis, but its cellular and molecular functions, particularly within a host cell, are unexplored. We investigated the molecular functions of PE5 using affinity purification coupled mass spectrometry (AP-MS) and identified an interaction with the CRL2 complex, a host E3 ubiquitin ligase complex. PE5 interacts with CRL2 through its C-terminal Gly-Gly motif, which is bound by the CRL2 substrate receptor, KLHDC2. PE5 does not get ubiquitinated, but it is degraded upon being bound by KLHDC2. Interestingly, binding to PE5 increases the autoubiquitination of KLHDC2, but this autoubiquitination does not interfere with KLHDC2s ability to degrade known substrates or the ability of CRL2 to degrade substrates bound by other substrate receptors. Therefore, while PE5 binds to CRL2-KLHDC2 and does not get ubiquitinated itself, it does not appear to impede CRL2 activity. This study identifies a novel interaction between PE5 and a host ubiquitin ligase pathway, and it raises new questions about how PE5s interaction with the host modulates cell biology to promote Mtb virulence. Furthermore, it implicates CRL2 complexes in mediating cell-intrinsic host response to Mtb infection, a novel function for this ubiquitin ligase complex. Our results expand our understanding of how PE/PPEs may target innate immune responses and contribute to our knowledge of how uncharacterized PE/PPEs contribute to Mtbs virulence.

microbiology↗

bioRxiv2025

RNA Editors Sculpt the Transcriptome During Terminal Erythropoiesis

Selective RNA degradation during terminal erythropoiesis results in a globin-rich transcriptome in mature erythrocytes, but the specific RNA decay pathways remain unknown. We found that deficiency of the terminal uridylyl transferase enzyme Zcchc6 and the 3-5 exoribonuclease Dis3l2 in mouse models led to fetal and perinatal reticulocytosis, an accumulation of RNA-rich precursors of terminal erythroid cells, suggesting their crucial roles in terminal red cell differentiation. Notably, knockout embryos exhibited persistent high-level expression of Hbb-bh1 globin, the ortholog of human fetal{gamma} -globin. Perturbation of the Zcchc6-Dis3l2 pathway in mice engineered to express the human {beta}-globin locus likewise increased{gamma} -globin levels in fetal erythroid cells, suggesting that globin switching entails post-transcriptional mechanisms of mRNA destabilization in addition to transcriptional down-regulation. We cultured human hematopoietic stem and progenitor cells (HSPCs), performed CRISPR/Cas9-mediated knockout of ZCCHC6 and DIS3L2, and observed accumulation of RNA and elevated {gamma}-globin levels in terminal erythroid cells. Our findings reveal a conserved role for the ZCCHC6/DIS3L2 RNA editors in terminal erythropoiesis and demonstrate a post-transcriptional mechanism for{gamma} -globin gene switching, advancing research into in vitro erythrocyte generation and{gamma} -globin stabilization to ameliorate hemoglobinopathies.

developmental biology↗

bioRxiv2025

High-Quality Cell Capture Reveals Transcriptomic Changes After Single-Axon Injury of Mauthner Cells

In vivo single-cell capture methods based on micropipettes are essential for correlating morphological characteristics with transcriptomic profiling under physiological conditions. However, they often suffer from significant contamination of off-target cells. Consequently, we developed Hip-seq, which significantly reduces heavily contaminated cells, decreases contamination levels, improves cell reproducibility, and enhances data analysis accuracy compared to patch-seq. Using Hip-seq, we found that axon regeneration failure could be due to abnormal activation of translation and the circadian clock. Axon-regenerable central neurons reactivated axon development-related genes during regeneration. And one-to-one associated analysis helped identify pro-regenerative genes.

neuroscience↗

bioRxiv2025

Sequencing-free whole genome spatial transcriptomics at molecular resolution in intact tissue

Recent breakthroughs in spatial transcriptomics technologies have enhanced our understanding of diverse cellular identities, compositions, interactions, spatial organizations, and functions. Yet existing spatial transcriptomics tools are still limited in either transcriptomic coverage or spatial resolution. Leading spatial-capture or spatial-tagging transcriptomics techniques that rely on in-vitro sequencing offer whole-transcriptome coverage, in principle, but at the cost of lower spatial resolution compared to image-based techniques. In contrast, high-performance image-based spatial transcriptomics techniques, which rely on in situ hybridization or in situ sequencing, achieve single-molecule spatial resolution and retain sub-cellular morphologies, but are limited by probe libraries that target only a subset of the transcriptome, typically covering several hundred to a few thousand transcript species. Together, these limitations hinder unbiased, hypothesis-free transcriptomic analyses at high spatial resolution. Here we develop a new image-based spatial transcriptomics technology termed Reverse-padlock Amplicon Encoding FISH (RAEFISH) with whole-genome level coverage while retaining single-molecule spatial resolution in intact tissues. We demonstrate image-based spatial transcriptomics targeting 23,000 human transcript species or 22,000 mouse transcript species, including nearly the entire protein-coding transcriptome and several thousand long-noncoding RNAs, in single cells in cultures and in tissue sections. Our analyses reveal differential subcellular localizations of diverse transcripts, cell-type-specific and cell-type-invariant tissue zonation dependent transcriptome, and gene expression programs underlying preferential cell-cell interactions. Finally, we further develop our technology for direct spatial readout of gRNAs in an image-based high-content CRISPR screen. Overall, these developments provide the research community with a broadly applicable technology that enables high-coverage, high-resolution spatial profiling of both long and short, native and engineered RNA species in many biomedical contexts.

genetics↗

bioRxiv2024

Diverse ancestral representation improves genetic intolerance metrics

Rapidly expanding genomic databases have enabled the identification of regions in the human genome intolerant to variation and thus likely relevant to human disease. However, despite their unprecedented scale, these datasets remain constrained by limited ancestral diversity. Here, we systematically evaluate how genetic diversity impacts gene- and sub-genic intolerance metrics by analyzing whole-exome sequencing data from 460,551 UK Biobank participants and 125,748 gnomAD participants across diverse ancestral backgrounds. Through comprehensive analysis of randomly sampled datasets with varying ancestral compositions, we demonstrate that genetic diversity, rather than sample size alone, drives the performance of intolerance metrics in identifying functionally critical genes and genic sub-regions. Notably, scores trained on variation observed in African and Admixed American ancestral groups showed superior resolution in detecting neurodevelopmental disease risk genes and haploinsufficient genes compared to scores trained on variation observed in European ancestry cohorts. Most strikingly, the Missense Tolerance Ratio (MTR) trained on 43,000 multi-ancestry exomes demonstrated greater predictive power than when trained on a nearly 10-fold larger dataset of 440,000 non-Finnish European exomes, indicating that European ancestry-based scores are approaching saturation. These findings establish ancestral diversity as the fundamental determinant for advancing intolerance metrics and underscore the urgent scientific and ethical imperative for enhanced population representation in genomic resources to fully realize the potential of precision medicine and drug discovery.

genetics↗

bioRxiv2024

Dietary Fiber Modulates Macrophage Activity in a Microfluidic Model of Colonocyte-Microbiota Interactions in Colorectal Cancer

Dietary fiber has been consistently associated with a decreased risk of colorectal cancer (CRC) development. While the apoptotic effect of dietary fiber microbial fermentation products on tumor colonocytes is well established, the role of these products on other components of the tumor microenvironment remains unexplored. Tumor associated macrophages play a critical role in tumor development in the colon; however, the effect of dietary fiber fermentation by microbiota on macrophage-colonocyte interaction in colorectal cancer has been difficult to dissect due to a lack of complex in vitro models of CRC containing both immune cells and microbiota. Recently, we developed a microfluidic model that facilitates the coculture of CRC spheroids with complex microbial communities. Here, we expand our model to include macrophages and employ it to study the impact of dietary fiber on macrophage-colonocyte interaction. We optimized monocyte differentiation parameters in vitro and demonstrated the capacity of our model to recapitulate changes in microbiota composition and metabolic output associated with dietary fiber administration in vivo. Combinatorial coculture of colonocytes with microbiota and macrophages revealed that alterations in microbial production of SCFA derived from dietary fiber fermentation correlated with enhanced colonocyte death, possibly mediated by an increase in transcription of tumor pro-apoptotic signals by macrophages. Our work highlights the capacity of complex in vitro systems to study the role of microbial metabolism of dietary molecules on CRC colonocyte viability and macrophage activity.

cancer biology↗