Biology subjects

Yu, J.

Publications and source records attributed to Yu, J..

At least 181 records · Page 10Linked to original sources

bioRxiv2025

Amygdala GABA Neurons: Gatekeepers of Stress and Reproduction

Stress can disrupt menstrual cycles, cause infertility, and lead to other reproductive disorders. The posterodorsal medial amygdala (MePD) processes stress signals and regulates the gonadotropin-releasing hormone (GnRH) pulse generator through GABAergic inhibitory projections to the hypothalamus. However, how stress is processed in the MePD - especially involving its dense GABA and Urocortin-3 (UCN3) neurons - remains poorly understood. In this study, we combine in vivo GRadient-INdex (GRIN) lens mini-endoscopic calcium imaging (to track neuronal activity), optogenetics, clustering analysis, and computational modeling to investigate the MePD circuitry. Our findings reveal two anti-correlated GABA subpopulations in the MePD that dictate responses to both UCN3 neuron stimulation and restraint stress. Our computational modeling suggests that mutual inhibition between these GABA groups drives the anti-correlated activity and predicts how these interactions shape downstream responses to stimulation of GABA and UCN3 neurons. We test these predictions using optogenetics and confirm that GABA neurons are critical for the transmission of UCN3 signals to regulate luteinizing hormone (LH) pulse frequency. Our study is the first to show how GABA neurons in the amygdala mediate stress effects on reproductive health, uncovering key neural mechanisms linking emotional and reproductive functions.

physiology↗

bioRxiv2025

Studies of all-trans retinoic acid transport in myopigenesis

PurposeMyopia incidence is increasing globally. All-trans retinoic acid (atRA) is important in myopigenic retinoscleral signaling, motivating research on its ocular transport. However, atRAs weak autofluorescence limits its direct visualization in tissues. Further, atRA is hydrophobic and must bind to protein carriers for transport. We assessed a fluorescent analog of atRA (LightOxTM14, CAS:198696-03-6, referred as floRA), as an experimentally accessible atRA surrogate by: (i) evaluating its binding to carrier proteins and (ii) visualizing its distribution in ocular tissues. MethodsO_ST_ABSBindingC_ST_ABSWe assessed atRA-carrier protein binding using fluorescence quenching assays with bovine serum albumin (BSA), high density lipoprotein (HDL), apolipoprotein A-I (Apo A-I) and retinol binding protein 4 (RBP4). Direct visualizationWild-type C57BL/6J mice were euthanized, eyes enucleated, and wedges containing sclera and choroid incubated for specific durations in 50 M floRA+BSA. The wedge centers were cryo-sectioned and counterstained for nuclei. Fluorescent micrographs were acquired and analyzed using ImageJ. ResultsAssociation constants (Ka) for atRA and floRA binding to carrier proteins were similar and ranged from 2-13 x 105 M-1, indicating non-specific binding. floRA could be visualized in sclera and choroid, yet showed significant spatial heterogeneity (enhanced fluorescence often colocalizing with nuclei). ConclusionsfloRA is a reasonable surrogate for atRA binding to BSA, HDL, Apo A-I and RBP4. Considering these proteins relative serum and extravascular abundances, and their similar binding affinity to atRA, we predict that serum albumin is an important atRA carrier. Use of floRA in whole tissue tracer studies shows promise but requires further refinement.

biochemistry↗

bioRxiv2025

Autophagy-Mediated Downregulation of AXL and TIM-1 Promotes Sustained Zika Virus Infection

Zika virus (ZIKV) infection can lead to a variety of clinical outcomes, including severe congenital abnormalities. The phosphatidylserine (PS) receptors AXL and TIM-1 are recognized as critical entry factors for ZIKV in vitro. However, it remains unclear if and how ZIKV regulates these receptors during infection. In this study, we investigated AXL and TIM-1 expression in human alveolar basal epithelial A549 cells, glioblastoma U87 cells, and embryonic stem cells-derived trophoblast following ZIKV infection. We found that both the Asian strain FSS13025 and the African strain MR766 of ZIKV downregulate AXL, with a milder effect on TIM-1. We identified several ZIKV proteins, notably envelope (E), NS2A, NS3, and NS4B, that contribute to this downregulation. Notably, treatment with lysosomal inhibitor NH4Cl or the autophagy inhibitor 3-Methyladenine (3-MA) mitigated the AXL/TIM-1 downregulation, indicating autophagys involvement in the process. Importantly, this downregulation facilitates sustained viral replication and promotes viral spread by preventing superinfection and limiting cell death, which is also associated with impaired innate immune signaling. Our findings uncover a mechanism by which ZIKV downregulates entry factors to enhance prolonged viral replication and spread. AUTHOR SUMMARYZika virus (ZIKV) infection has been associated with severe birth defects, yet the mechanisms underlying its pathogenesis remain poorly understood. In this study, we investigated phosphatidylserine (PS) receptors AXL and TIM-1 and discovered that they promote ZIKV entry but are downregulated by the virus infection. We identified several ZIKV proteins involved in AXL and TIM-1 down-regulation through an autophagy-mediated process. Mechanistically, this loss of surface receptors protects host cells from superinfection and cell death, while dampening the innate immune response, ultimately promoting viral spread. Our results contribute to a better understanding of ZIKVs interactions with host cells and offer insight into viral entry, innate signaling, and pathogenesis.

microbiology↗

bioRxiv2024

FABP5 in Skin Macrophages Mediates Saturated Fat-Induced IL-1β Signaling in Obesity-Associated Psoriasis Development

High fat diet (HFD)-induced obesity increases the risk and severity of psoriasis. However, the immunoregulatory effects of different HFD-induced obesity on psoriasis pathogenesis remains poorly understood. Here, mimicking human dietary fat profiles, four HFDs - saturated, monounsaturated, omega-6 and omega-3 fats - were designed and used to induce obesity in mice. Despite comparable obesity levels across groups, only the saturated HFD exacerbated imiquimod (IMQ)-induced psoriasis. This exacerbation correlated with elevated levels of IL-1{beta}-producing macrophages, IL-17A-producing {gamma}{delta} T cells, and neutrophils within psoriatic lesions. Mechanistically, saturated fatty acids (FAs) promoted IL-1{beta}/IL-17 signaling via fatty acid-binding protein 5 (FABP5)-mediated mitochondrial FA oxidation and extracellular ATP release in skin macrophages. Deletion of FABP5, either globally or specifically in macrophages, attenuated IL-1{beta}/IL-17A signaling and alleviated IMQ-induced psoriasis. These findings identify FABP5 as a key mediator of saturated HFD-driven psoriasis via the IL-1{beta}/IL-17 axis, offering insights into the interplay between dietary fats, obesity and psoriasis. HighlightsO_LISaturated, but not unsaturated, high-fat diets (HFDs) drive the development of obesity-associated psoriasis. C_LIO_LISaturated fats enhance IL-1{beta}/IL-17 signaling in psoriatic skin. C_LIO_LIFABP5 mediates saturated fat-induced IL-1{beta} signaling by promoting ATP production and release. C_LIO_LIDeletion of FABP5 in macrophages alleviates the development of saturated HFD-associated psoriasis. C_LI Graphic Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=198 SRC="FIGDIR/small/628705v1_ufig1.gif" ALT="Figure 1"> View larger version (65K): org.highwire.dtl.DTLVardef@93fedaorg.highwire.dtl.DTLVardef@409fa2org.highwire.dtl.DTLVardef@b08362org.highwire.dtl.DTLVardef@81abcc_HPS_FORMAT_FIGEXP M_FIG C_FIG

immunology↗

bioRxiv2024

PPARδ restrains the suppression function of intra-tumoral Tregs by limiting CIITA-MHC II expression

Regulatory T cells (Treg cells) play a critical role in suppressing anti-tumor immunity, often resulting in unfavorable clinical outcomes across numerous cancers. However, systemic Treg depletion, while augmenting anti-tumor responses, also triggers detrimental autoimmune disorders. Thus, dissecting the mechanisms by which Treg cells navigate and exert their functions within the tumor microenvironment (TME) is pivotal for devising innovative Treg-centric cancer therapies. Our study highlights the role of peroxisome proliferator-activated receptor {beta}/{delta} (PPAR{delta}), a nuclear hormone receptor involved in fatty acid metabolism. Remarkably, PPAR{delta} ablation in Treg escalated tumor growth and augmented the immunosuppressive characteristics of the TME. This absence of PPAR{delta} spurred an increased expression of genes central to antigen presentation, notably CIITA and MHC II. Our results showcase a novel association where the absence of CIITA in PPAR{delta}-deficient Treg bolsters anti-tumor responses, casting CIITA as a pivotal downstream regulator of PPAR{delta} within Treg. In vitro assays demonstrated that elevated CIITA levels enhance the suppressive capacity of Treg, facilitated by an antigen-independent interaction between Treg-MHC II and Tconv-TCR/CD4/Lag3. A significant revelation was the role of type 1 interferon as a TME signal that promotes the genesis of MHC II+ Treg; PPAR{delta} deficiency intensifies this phenomenon by amplifying type 1 interferon signaling, mediated by a notable upsurge in JAK3 transcription and an increase of pSTAT1-Y701. In conclusion, the co-regulation between TME cues and PPAR{delta} signaling shapes the adaptive and suppressive roles of Treg cells through the CIITA-MHC II pathway. Strategically targeting the potent MHC II+ Treg population could open a new avenue for cancer therapies by boosting anti-tumor defenses while curbing autoimmune threats. HighlightsO_LIPPAR{delta} Treg conditional knockout mice show accelerated tumor growth due to increased expression of CIITA-MHC II. C_LIO_LIType I interferon signal regulates Treg CIITA-MHC II axis in vitro and in vivo. C_LIO_LIPPAR{delta} attenuates Type I interferon response and restrains CIITA-MHC II expression in Treg cells. C_LIO_LITreg suppressive function is enhanced by Treg MHC IIs direct interaction with TCR/CD4/Lag3 on Teff cells. C_LI

immunology↗

bioRxiv2024

TEAD promotes lineage progression of subpallial neural progenitor cells independent of YAP/TAZ

The TEAD family of transcription factors are best known as the DNA-binding factor in the Hippo pathway, where they act by interacting with transcriptional coactivators YAP and TAZ (YAP/TAZ). Despite the importance of the Hippo pathway, the in vivo functions of TEAD in mammals have not been well established. By comparing mouse mutants lacking TEAD1 and TEAD2 (TEAD1/2) to those lacking YAP/TAZ, we found that TEAD1/2 have both YAP/TAZ-dependent and -independent functions during ventral telencephalon development. TEAD1/2 loss and YAP/TAZ loss similarly disrupt neuroepithelial apical junctions. However, the impacts of their losses on progenitor lineage progression are essentially opposite: Whereas YAP/TAZ loss depletes early progenitors and increases later progenitors--consistent with their established function in promoting progenitor self-renewal and proliferation, TEAD1/2 loss expands early progenitors and reduces late progenitors, indicating that TEAD1/2 promote lineage progression. We further show that TEAD1/2 promote neural progenitor lineage progression by, at least in part, inhibiting Notch signaling and by cooperating with Insulinoma-associated 1 (INSM1). Orthologs of TEAD and INSM1 have been shown to cooperatively regulate neuronal cell fate decisions in worms and flies. Our study reveals a remarkable evolutionary conservation of the function of this transcription factor complex during metazoan neural development.

developmental biology↗

bioRxiv2024

Phthalates Impair Estrogenic Regulation of HIF2α and Extracellular Vesicle Secretion by Human Endometrial Stromal Cells

Di(2-ethylhexyl) phthalate (DEHP), a known endocrine-disrupting chemical, is a plasticizer found in many common consumer products. High levels of DEHP exposure have been linked to adverse pregnancy outcomes, yet little is known about how it affects human uterine functions. We previously reported that the estrogen-regulated transcription factor hypoxia-inducible factor 2 alpha (HIF2) promotes the expression of Rab27b, which controls the trafficking and secretion of extracellular vesicles (EVs). EVs facilitate communication between multiple cell types within the pregnant uterus, ensuring reproductive success. In this study, we report that exposure of differentiating primary human endometrial stromal cells (HESC) to an environmentally relevant concentration (1 g/mL) of DEHP or its primary metabolite mono(2-ethylhexyl) phthalate (MEHP) markedly reduces the expression of HIF2. We also observed a concomitant decrease in RAB27B expression, reducing EV secretion from HESC. Interestingly, we found that DEHP or MEHP exposure disrupts estrogenic regulation of the HIF2/Rab27b signaling pathway. Estrogen receptor alpha (ER) could no longer bind to the HIF2 regulatory region following phthalate treatment, and epigenetic analysis suggested that this may be due to hypermethylation of nearby CpG islands. Further investigation revealed a potential interaction between ER and the transcription factor Sp1 within the HIF2 regulatory region, which is affected by the inhibition of Sp1 binding to the phthalate-induced hypermethylated DNA. Additionally, our results suggest that the abnormal DNA methylation is likely due to increased expression of the DNA methyltransferase 1 (DNMT1) gene in response to phthalate exposure. Overall, this study provides valuable mechanistic insights into how phthalate-induced differential DNA methylation disrupts estrogenic regulation of the HIF2 gene and, consequently, EV secretion during HESC differentiation. This knowledge is crucial for our understanding of how phthalates may cause adverse reproductive outcomes by disrupting the hormonal regulation of cell-to-cell communication within the pregnant uterus.

pharmacology and toxicology↗

bioRxiv2024

Modulation of all-trans retinoic acid by light and dopamine in the murine eye

PurposeAmbient light exposure is linked to myopia development in children and affects myopia susceptibility in animal models. Currently, it is unclear which signals mediate the effects of light on myopia. All-trans retinoic acid (atRA) and dopamine (DA) oppositely influence experimental myopia and may be involved in the retino-scleral signaling cascade underlying myopic eye growth. However, how ocular atRA responds to different lighting and whether atRA and DA interact remains unknown. MethodsDark-adapted C57BL/6J mice (29-31 days old) were exposed to Dim (1 lux), Mid (59 lux), or Bright (12,000 lux) ambient lighting for 5-60 minutes. Some mice were also systemically administered the DA precursor, LDOPA, or atRA prior to light exposure. After exposure, the retina and the back-of-the-eye (BOE) were collected and analyzed for levels of atRA, DA, and the DA metabolite, DOPAC. ResultsDA turnover (DOPAC/DA ratio) in the retina increased in magnitude after only five minutes of exposure to higher ambient luminance but was minimal in the BOE. In contrast, atRA levels in the retina and BOE significantly decreased with higher ambient luminance and longer duration exposure. Intriguingly, LDOPA-treated mice had a transient reduction in retinal atRA compared to saline-treated mice, whereas atRA treatment had no effect on ocular DA. ConclusionsOcular atRA was affected by the duration of exposure to different ambient lighting and retinal atRA levels decreased with increased DA. Overall, these data suggest specific interactions between ambient lighting, atRA, and DA that could have implications for the retino-scleral signaling cascade underlying myopic eye growth.

systems biology↗

bioRxiv2024

Revealing long-range heterogeneous organization of nucleoproteins with N6-methyladenine footprinting

A major challenge in epigenetics is uncovering the dynamic distribution of nucleosomes and other DNA-binding proteins, which plays a crucial role in regulating cellular functions. Established approaches such as ATAC-seq, ChIP-seq, and CUT&RUN provide valuable insights but are limited by the ensemble nature of their data, masking the cellular and molecular heterogeneity that is often functionally significant. Recently, long-read sequencing technologies, particularly Single Molecule, Real-Time (SMRT/PacBio) sequencing, have introduced transformative capabilities, such as N6-methyladenine (6mA) footprinting. This technique enables the detection of joint binding events and long-range chromatin organization on individual DNA molecules spanning multiple kilobases. Despite the potential of 6mA footprinting, existing analytical tools for 6mA detection in SMRT sequencing data suffer from significant limitations in both performance and applicability, especially with the latest sequencing platform. To address these gaps, we developed a novel 6mA-calling pipeline based on polymerase kinetics analysis. Our approach significantly outperforms current tools in terms of accuracy and computational efficiency, setting a new benchmark for 6mA detection. Utilizing our optimized experimental and computational framework, we extensively mapped nucleosome positioning and transcription factor occupancy at the single-molecule level, revealing critical features of the transcription-associated epigenetic landscape. Additionally, our work established high-resolution, long-range binding events in mitochondrial DNA, revealing simultaneous loading of two sets of replication machinery onto the displacement loop (D-loop). Our study highlights the potential of 6mA footprinting in capturing the coordinate binding of nucleoproteins and unraveling heterogeneous epigenetic states with unprecedented resolution.

bioinformatics↗

bioRxiv2024

UniFORM: Towards Universal Immunofluorescence Normalization for Multiplex Tissue Imaging

Multiplexed tissue imaging (MTI) technologies enable high-dimensional spatial analysis of tumor microenvironments but face challenges with technical variability in staining intensities. Existing normalization methods, including Z-score, ComBat, and MxNorm, often fail to account for the heterogeneous, right-skewed expression patterns of MTI data, compromising signal alignment and downstream analyses. We present UniFORM, a non-parametric, Python-based pipeline that uses an automated rigid landmark functional data registration approach for normalizing both feature- and pixel-level MTI data. Designed specifically for the distributional characteristics of MTI datasets, UniFORM operates without prior distributional assumptions and performs robustly regardless of distribution modality, including both unimodal and bimodal patterns. It removes technical variation by aligning the biologically invariant component of the signal, typically the negative (non-expressing) population, while preserving biologically meaningful variation in the positive population, thereby maintaining tissue-specific expression patterns essential for downstream analysis. Benchmarking across three distinct MTI platform datasets demonstrates that UniFORM outperforms existing methods in mitigating batch effects while maintaining biological signal fidelity. This is evidenced by improved marker distribution alignment and positive population preservation, enhanced kBET and Silhouette scores, and improved downstream analyses such as UMAP visualizations and Leiden clustering. UniFORM also introduces a novel guided fine-tuning option for complex and heterogeneous datasets. Although optimized for fluorescence-based platforms, UniFORM provides a scalable and robust solution for MTI data normalization, enabling accurate and biologically meaningful interpretations.

bioinformatics↗

bioRxiv2024

Bridging the Dimensional Gap from Planar Spatial Transcriptomics to 3D Cell Atlases

Spatial transcriptomics (ST) has revolutionized our understanding of tissue architecture, yet constructing comprehensive three-dimensional (3D) cell atlases remains challenging due to technical limitations and high cost. Current approaches typically capture only sparsely sampled two-dimensional sections, leaving substantial gaps that limit our understanding of continuous organ organization. Here, we present SpatialZ, a computational framework that bridges these gaps by generating virtual slices between experimentally measured sections, enabling the construction of dense 3D cell atlases from planar ST data. SpatialZ is designed to operate at single-cell resolution and function independently of gene coverage limitations inherent to specific spatial technologies. Comprehensive validation using real 3D ST and independent serial sectioning datasets demonstrates that SpatialZ accurately reconstructs virtual slices while preserving cell identities, gene expression patterns, and spatial relationships. Leveraging the BRAIN Initiative Cell Census Network data, we constructed a 3D hemisphere atlas comprising over 38 million cells, a scale not feasible experimentally. This dense atlas enables unprecedented capabilities, including in silico sectioning at arbitrary angles, explorations of gene expression across both 3D volumes and surfaces, and 3D mapping of query tissue sections. While currently validated for spatial transcriptomics, the underlying principles of SpatialZ could potentially be adapted for spatial proteomics, spatial metabolomics, and even spatial multi-omics. Validated through internal and external testing, our computationally generated atlas maintains biological accuracy, providing unprecedented resolution of spatial molecular landscapes and demonstrating the potential of computational approaches in advancing 3D ST.

bioinformatics↗

bioRxiv2024

Lineage-associated Human Divergently-Paired Genes (DPGs) Exhibit Regulatory Characteristics and Evolutionary Trends

Divergently-paired genes (DPGs) represent one of the minimal co-transcriptional units (the rest include tandemly- and convergently-paired genes) of clustered genes; the former and the latter constitute greater than 10% and 75% of the total human genes, respectively. Our previous studies have shown that vertebrate DPGs are more conserved, both organizationally and functionally than invertebrates. Three critical questions remain to be addressed: (1) what are the conserved DPGs over vertebrate lineages, especially among mammals and primates? (2) being bidirectionally transcribed, to what extent do DPGs share their promoter sequences and how mechanistically and stringently are their co-expression regulated within the shared inter-TSS (transcription start site) sequence space? and (3) based on the recently released high-quality human genome assemblies, how do human-associated DPGs distribute over selected primate lineages and what are their possible functional consequences biologically? Our study begins by identifying 1399 human DPGs (12% of all human protein-coding genes), and presents findings from this analysis. First, 1136, 1118, 925, and 830 human DPGs are shared genetically with primates, mammals, avians, and fish, respectively. DPGs are not only functionally enriched toward direct protein-DNA interactions and cell cycle synchronization but also exhibit obvious lineage association, narrow in principle toward synchronization of certain core molecular mechanisms and cellular processes. Second, their inter-TSS distances and expression variables affect both co-expression strength and disparity between the two genes. Finally, our results based on a comparison among the primate DPGs reveal that the human-associated DPGs exhibit intensive diversification in co-expression, duplication, and definite involvement in neural development. Within humans, 55 and 357 DPGs are associated to the Chinese (YAO) and the European (CHM13) assemblies, respectively. Our results offer novel insights into comprehending the structure-function selection of gene clusters over evolutionary time scales, as well as a deeper understanding of the regulatory characteristics of co-expressed neighboring genes.

genomics↗

bioRxiv2024

Structure of a zoonotic H5N1 hemagglutinin reveals a receptor-binding site occupied by an auto-glycan

Highly pathogenic avian influenza has spilled into many mammals, most notably U.S. dairy cows with several dozen human breakthrough infections. Zoonotic crossovers, with hemagglutinins mutated to enhance viral ability to use human 2-6-linked sialic acid receptors versus avian 2-3-linked ones, highlight the pandemic risk. To gain insight into these crossovers, we determined the cryo-EM structure of hemagglutinin from the zoonotic H5N1 A/Texas/37/2024 strain (clade 2.3.4.4b) in complex with a previously reported neutralizing antibody. Surprisingly, we found that the receptor-binding site of this H5N1 hemagglutinin was already occupied by an 2-3-linked sialic acid and that this glycan emanated from asparagine N169 of a neighboring protomer on hemagglutinin itself. This structure thus highlights recognition by influenza hemagglutinin of an "auto"-2-3-linked sialic acid from N169, an N-linked glycan conserved in 95% of H5 strains, and adds "auto-glycan recognition" to the complexities surrounding H5N1 zoonosis. HighlightsO_LIWe report the structure of hemagglutinin from the zoonotic H5N1 strain A/Texas/37/2024 from clade 2.3.4.4b responsible for the current H5N1 outbreak C_LIO_LIStructural analysis revealed that each receptor-binding site of H5N1 A/Texas/37/2024 HA is bound to an "auto" sialic acid originating from glycan N169 on an adjacent protomer C_LIO_LIThis structure provides new aspects of receptor binding for a highly pathogenic strain of avian influenza, and raises questions about the impact of auto-binding sialic acid, especially with respect to zoonosis C_LI

immunology↗

bioRxiv2024

Drug Response Modeling across Cancers: Proteomics vs. Transcriptomics

Cancer cell lines are the most common in-vitro models for the evaluation of anti-cancer drug sensitivities. Past studies have been conducted to decipher and characterize the pharmacogenomic feature of cell lines based on other omics data, such as genomic mutation data and whole-genome RNA sequencing (RNA-seq) profiles. In particular, proteomic data is also an essential component for the characterization of tumours. However, different from RNA-seq datasets rich in numerous transcriptome profiles of cancer cell lines and cell viability assay of drug responses, the pharmacogenomic protein quantifications are relatively scarce. With the availability of the recently enriched proteomic dataset ProCan-DepMapSanger, we systematically evaluated the interplays among genomic mutations, transcription, and protein expressions across cancer cell lines. In general, blood cancers have higher RNA-protein correlations than those in solid cancers. The differential expression analysis on protein data helped identify more expressional and functional impact of genomic mutations of cancer genes. We also integrated the proteomic map with drug molecular chemical features to construct a bi-modal machine learning model to infer the drug sensitivities of cancer cell lines. Our results demonstrated that protein quantifications can lead to better drug response prediction performance than the model trained on transcriptome profiles. In addition, integrating protein data with drug chemical features, represented as molecular graphs and learned by Graph Neural Network, outperformed the state-of-the-art model DeepOmicNet for drug response prediction in proteomics.

bioinformatics↗

bioRxiv2024

Epigenetic remodeling and 3D chromatin reorganization governed by NKX2-1 drive neuroendocrine prostate cancer

A significant number of castration-resistant prostate cancer (CRPC) evolve into a neuroendocrine (NE) subtype termed NEPC, leading to resistance to androgen receptor (AR) pathway inhibitors and poor clinical outcomes. Through Hi-C analyses of a panel of patient-derived xenograft tumors, here we report drastically different 3D chromatin architectures between NEPC and CRPC samples. Such chromatin re-organization was faithfully recapitulated in vitro on isogenic cells undergoing NE transformation (NET). Mechanistically, neural transcription factor (TF) NKX2-1 is selectively and highly expressed in NEPC tumors and is indispensable for NET across various models. NKX2-1 preferentially binds to gene promoters, but it interacts with chromatin-pioneering factors such as FOXA2 at enhancer elements through chromatin looping, further strengthening FOXA2 binding at NE enhancers. Conversely, FOXA2 mediates regional DNA demethylation, attributing to NE enhancer priming and inducing NKX2-1 expression, forming a feed-forward loop. Single-cell multiome analyses of isogenic cells over time-course NET cells identify individual cells amid luminal-to-NE transformation, exhibiting intermediate epigenetic and transcriptome states. Lastly, NKX2-1/FOXA2 interacts with, and recruits CBP/p300 proteins to activate NE enhancers, and pharmacological inhibitors of CBP/p300 effectively blunted NE gene expression and abolished NEPC tumor growth. Thus, our study reports a hierarchical network of TFs governed by NKX2-1 in regulating the 2D and 3D chromatin re-organization during NET and uncovers a promising therapeutic approach to eradicate NEPC.

cancer biology↗

bioRxiv2024

Optimizing a Human Monoclonal Antibody for Better Neutralization of SARS-CoV-2

SARS-CoV-2 has largely evolved to resist antibody pressure, with each successive viral variant becoming more and more resistant to serum antibodies in the population. This evolution renders all previously authorized anti-spike therapeutic monoclonal antibodies inactive, and it threatens the remaining pipelines against COVID-19. We report herein the isolation of a human monoclonal antibody with a broad but incomplete SARS-CoV-2 neutralization profile, but structural analyses and mutational scanning lead to the engineering of variants that result in greater antibody flexibility while binding to the viral spike. Three such optimized monoclonal antibodies neutralize all SARS-CoV-2 strains tested with much improved potency and breadth, including against subvariants XEC and LP.8.1. The findings of this study not only present antibody candidates for clinical development against COVID-19, but also introduce a unique engineering approach to improve antibody activity via increasing conformational flexibility.

microbiology↗

bioRxiv2024

Cortical dynamics in hand/forelimb S1 and M1 evoked by brief photostimulation of the mouses hand

Spiking activity along synaptic circuits linking primary somatosensory (S1) and motor (M1) areas is fundamental for sensorimotor integration in cortex. Circuits along the ascending somatosensory pathway through mouse hand/forelimb S1 and M1 were recently described in detail (Yamawaki et al., 2021). Here, we characterize the peripherally evoked spiking dynamics in these two cortical areas. Brief (5 ms) optogenetic photostimulation of the hand generated short ([~]25 ms) barrages of activity first in S1 (onset latency 15 ms) then M1 (10 ms later). The estimated propagation speed was 20-fold faster from hand to S1 than from S1 to M1. Amplitudes in M1 were strongly attenuated. Responses were typically triphasic, with suppression and rebound following the initial peak. Evoked activity in S1 was biased to middle layers, consistent with thalamocortical connectivity, while that in M1 was biased to upper layers, consistent with corticocortical connectivity. Parvalbumin (PV) inhibitory interneurons were involved in each phase, accounting for three quarters of the initial spikes generated in S1, and their selective photostimulation sufficed to evoke suppression and rebound in both S1 and M1. Partial silencing of S1 by PV activation during hand stimulation reduced the M1 sensory responses. Overall, these results characterize how evoked spiking activity propagates along the hand/forelimb transcortical loop, and illuminate how in vivo cortical dynamics relate to the underlying synaptic circuit organization in this system.

neuroscience↗

bioRxiv2024

Enriched Methylomes of Low-input and Fragmented DNA Using Fragment Ligation EXclusive Methylation Sequencing (FLEXseq)

Methylome profiling is an emerging clinical tool for tumor classification and liquid biopsies. Here, we developed FLEXseq, a genome-wide methylation profiler that enriches and sequences the fragments of DNA flanking the CCGG motif. FLEXseq strongly correlates (Pearsons r = 0.97) with whole genome bisulfite sequencing (WGBS) while enriching 18-fold. To demonstrate the broad applicability of FLEXseq, we verified its usage across cells, body fluids, and formalin-fixed paraffin-embedded (FFPE) tissues. DNA dilutions down to 250 pg decreased CpG coverage, but bias in methylation remained low (Pearsons r [≥] 0.90) compared to a 10 ng input. FLEXseq offers a cost-efficient, base-pair resolution methylome with potential as a diagnostic tool for tissue and liquid biopsies.

genomics↗