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Biology subjects

Chu, X.

Publications and source records attributed to Chu, X..

At least 19 recordsLinked to original sources

Phosphorylation and pocket-binding ligands rewire the coupled networks in multidomain protein condensate

Biomolecular condensates formed by multidomain proteins are increasingly linked to disease and are emerging targets for chemical modulation. Yet most molecular models emphasize intrinsically disordered regions (IDRs), whereas many available ligands bind folded-domain pockets. How IDR modifications and folded-domain ligands are integrated to control condensate organization remains unclear. Here, we address this problem using histone deacetylase 6 (HDAC6), a disease-associated deacetylase whose S22 phosphorylation and catalytic-pocket ligands differentially regulate condensation. Using atomistic-informed Martini 3 coarse-grained simulations, we show that S22 phosphorylation enhances phase separation of the N-terminal IDR1 without compacting isolated chains. Instead, phosphorylation creates a phospho-S22/D26-centered anionic contact node that strengthens dense-phase interactions with Arg/Lys-rich patches. The HDAC6 ligands Nexturastat A and HPOB remodel this IDR network through distinct charged-contact mechanisms: Nexturastat A acts as a focused competitor for cationic patches, whereas HPOB permits partial compensation through alternative charged contacts. In full-length phospho-HDAC6, the assembled network is not IDR1-dominated but is organized by FD3, the C-terminal ZnF-UBP domain. Pocket-bound ligands redirect this folded-domain network from FD3-FD3 association toward pocket-FD3 contacts, with stronger and more persistent remodeling by Nexturastat A. These results reveal a two-layer regulatory mechanism in which phosphorylation rewires IDR electrostatics while pocket-binding ligands redirect folded-domain interactions, suggesting a strategy for modulating multidomain condensates through ligand-induced contact-network remodeling.

biophysics↗

Potent and Broad HIV-1 Neutralization by a Bispecific CD4-CD4i Fusion Protein based on Single-Domain CD4-D1 and X5 CD4i antibody

Human immunodeficiency virus (HIV) infection remains a global health threat. Although antiretroviral therapy (ART) has significantly transformed HIV into a manageable chronic disease, emergence of drug resistance to current ART is a continuing concern. Broadly neutralizing antibodies, as well as reagents containing both a soluble CD4 mimetic and an HIV co-receptor inhibitor--such as CD4-CD4i antibodies--are promising strategies for the prevention and treatment of HIV infection. We previously developed a CD4 D1mimetic (mD1.22) with enhanced neutralization potency, surpassing that of the clinically validated sCD4-D1D2 mimetic. We also previously identified a novel CD4i antibody (X5) that targets the conserved coreceptor binding site on the gp120 core and recognizes an epitope partially overlapping with 17b monoclonal antibody binding site. X5 binding to gp120 was augmented by CD4 and modestly enhanced by CCR5. To leverage these favorable interactions, we designed and optimized sCD4-X5 bispecific antibodies by computational structure-aided modification of antibody size and fusion linkers between the two binding moieties. The bispecific D1X5, with a (G4S)7 long linker between D1 and X5 (IgG1-LL D1X5), exhibited broad neutralization against 11 diverse HIV subtypes across B, C, G clades and AC, BC recombinants. The TZM-bl cell neutralization assay showed IgG1-LL D1X5 neutralization geometric mean IC50 and IC80 are 0.6 g/mL and 3.4 g/mL respectively, which are within the range of potent bnAbs. This work has identified a novel single domain soluble CD4 based CD4-CD4i bispecific antibody with broad HIV-1 neutralization.

molecular biology↗

Encounter-state over-anchoring governs productive PETase binding on PET surfaces

Polyethylene terephthalate (PET) hydrolysis by Ideonella sakaiensis PETase (IsPETase) begins at a heterogeneous solid-liquid interface, yet the molecular basis of productive surface recognition remains poorly resolved. Here, we combined a Martini 3 coarse-grained PET model with G[o]Martini protein dynamics to investigate IsPETase binding to an extended PET surface. A four-state kinetic model, comprising unbound, encounter, docked, and pre-catalytic states, shows that productive binding is not limited by adsorption itself, but by a post-adsorption re-registration step that converts surface-bound encounter complexes into productively aligned configurations. The simulations reveal a stage-dependent role of conformational flexibility: flexible surface loops facilitate early capture, whereas excessive flexibility promotes misregistered hydrophobic contacts, over-stabilizes non-productive encounter states, and lowers the overall probability of productive commitment. Analysis of productive trajectories further identifies three microscopic reorientation modes by which the enzyme reaches the pre-catalytic state after adsorption. Comparative simulations of engineered PETase variants uncover a flexibility-driven speed-yield trade-off, in which increased flexibility accelerates successful binding events but reduces productive yield through encounter-state over-anchoring. Guided by this mechanism, we formulated a landscape-based design strategy that either weakens encounter-specific anchors or reinforces product-like contacts, leading to mutations that improve productive-binding yield. These results identify post-adsorption alignment as the key kinetic bottleneck in PETase surface recognition and provide a mechanistic framework for designing enzymes that operate at heterogeneous polymer interfaces.

biophysics↗

Valency-driven division of labor balances chromatin compaction and structural plasticity

Chromatin folding is regulated by multivalent protein complexes and condensates, yet how the multivalent binding quantitatively controls chromatin compaction, domain organization, and cell-to-cell heterogeneity remains unresolved. Here we develop the Chromatin-associated Protein Complex Maximum Entropy Model (CPC-MEM), a data-driven, physics-based polymer framework in which Hi-C contacts are realized through an explicit, finite pool of diffusing chromatin-associated protein complexes (CPCs) with prescribed CPC-chromatin interaction valency. When fitted to Hi-C, CPC-MEM generates chromatin structural ensembles that simultaneously reproduce population-averaged contact maps and single-cell super-resolution distance statistics. We uncover a clear division of labor across valency: low-valency CPCs act as abundant linkers that compact chromatin, homogenize folding, and refine local structure, whereas high-valency CPCs form sparse co-bridging hubs that nucleate chromatin domains and increase conformational heterogeneity. Mixtures of valencies naturally produce a "hub-and-matrix" chromatin architecture that optimally balances compaction with structural plasticity. Our study provides a quantitative mechanism by which locus-specific chromatin interaction preferences, together with the valency and abundance of CPCs and condensates in the nucleus, jointly shape functional 3D genome organization.

biophysics↗

Integration of single-cell transcriptome and genetic profiles reveals critical cell types and genes in inflammatory bowel disease

The progression of inflammatory bowel disease (IBD), grouped into Crohns disease (CD) and ulcerative colitis (UC), involves multiple cell types and genes, but the identification of critical cell types and genes that contribute to intestinal inflammation remains challenging. By integrating human intestinal single-cell transcriptomic data from approximately 200 donors, we revealed the stromal cell-derived network in CD, enrichments of immune cells such as Th1 in CD, atypical B cells and Tfh in UC, AXL+SIGLEC6+ DCs and IgG+ Plasma B cells in both, and the association between SPP1+ Macrophages, FAP+ Fibroblasts and anti-TNF treatment resistance. We also investigated the gene expression characterization of enteric neurons. Additionally, by linking cell-type-specific transcriptional alterations with genetic profiles of disease risk and intestinal gene expression, we proposed B cells and cycling epithelial cells as critical cell types, and identified epithelial genes, such as GPX4, as associated with CD pathology. In summary, our study comprehensively characterized the single-cell landscape of human intestines in IBD and provided insights into cell types and genes highly involved in genetically determined CD pathology, thereby informing CD prediction, diagnosis, and the development of new therapeutic targets.

immunology↗

Symmetric brain-liver circuits mediate lateralized regulation of hepatic glucose output

Neural lateralization is well recognized in the control of contralateral somatic movement, yet its relevance to visceral organ regulation remains poorly understood. This study aimed to determine whether the central nervous system exerts lateralized control over hepatic glucose metabolism and to localize the site of peripheral sympathetic crossover to the liver. Pseudorabies virus (PRV) tracing revealed bilateral projections from the lateral paragigantocellular nucleus (LPGi) with preferential innervation of the contralateral hepatic lobes. Unilateral LPGi activation elevated systemic glucose by enhancing glycogenolysis and gluconeogenesis specifically in contralateral lobes, whereas bilateral activation produced additive effects. Following unilateral hepatic denervation, contralateral LPGi activation induced metabolic compensation in the remaining innervated lobes, characterized by increased norepinephrine release, glucose production, and glycogen depletion. Whole-mount tissue clearing and dual viral tracing localized the sympathetic crossover to the porta hepatis. Developmental analysis showed that lobar-specific innervation along the vasculature emerges by postnatal week 2. These findings demonstrate that the brainstem can exert lobe-specific, lateralized control of hepatic glucose metabolism via bilaterally projecting brain - liver sympathetic pathways. This contralateral regulation arises from a peripheral decussation at the porta hepatis, and the compensatory activation observed after denervation reveals an intrinsic neuroadaptive mechanism that helps safeguard systemic glucose homeostasis. HighlightsO_LIBrain-liver sympathetic projections exhibit predominant contralateral innervation C_LIO_LIUnilateral LPGi activation drives glucose production in contralateral hepatic lobes C_LIO_LIUnilateral denervation augments contralateral LPGi-mediated metabolic compensation C_LIO_LISympathetic crossover to the liver localizes at the porta hepatis C_LI

neuroscience↗

Repulsive vs. Attractive Crowding Distinctly Regulate TDP-43 Condensates through Region-Specific Structural Dynamic

TAR DNA-binding protein 43 (TDP-43) is crucial for RNA processing and nucleocytoplasmic transport, and its pathological aggregation is a hallmark of neurodegenerative disorders such as amyotrophic lateral sclerosis and frontotemporal dementia. The intrinsically disordered, prion-like C-terminal domain (CTD) of TDP-43 drives its liquid-liquid phase separation (LLPS), a process fundamental to both normal cellular function and disease-associated aggregation. Using coarse-grained molecular simulations, we systematically explored how distinct macromolecular crowding environments, including repulsive (steric) and attractive (interaction-based) crowding conditions, influence the phase behavior and internal organization of TDP-43 CTD condensates. Our findings reveal that both repulsive and attractive crowders maintain strong correlations between single-chain compaction, dimerization propensity, and macroscopic phase separation, yet operate via distinct physical mechanisms: repulsive crowders drive condensation through volume-exclusion-mediated entropic stabilization, while attractive crowders modulate condensate formation via competitive enthalpic interactions. Spatial structural analysis identifies a robust region-specific internal architecture, with -helices enriched at the condensate core and aligned parallel to the interface, and intrinsically disordered regions (IDRs) preferentially localized near the condensate surface in orientations nearly perpendicular to the interface. Dynamically, -helical regions form strong yet transient interaction hubs, whereas IDRs establish weaker but more persistent contacts, thereby maintaining structural fluidity. Collectively, our results uncover a regulatory principle by which macromolecular crowding modulates TDP-43 condensation through distinct entropic and enthalpic contributions, offering key mechanistic insights into condensate formation and dysregulation relevant to neurodegenerative diseases.

biophysics↗

Transcriptional Condensates Encode a "Golden Mean" to Optimize Enhancer-Promoter Communication across Genomic Distances

Enhancers regulate gene expression by physically contacting their target promoters, yet these contacts often span large genomic distances. Phase-separated condensates (droplet-like clusters) of transcription factors (TFs) are thought to facilitate such long-range enhancer-promoter (E-P) communication, but the quantitative principles underlying this mechanism remain unclear. Here we use polymer-based chromatin simulations to systematically vary the strength of TF clustering and the E-P genomic distance, examining their combined effects on E-P contact formation. We find that E-P contact frequency shows a non-monotonic dependence on the degree of TF clustering: contact frequency peaks at an intermediate TF abundance and TF-TF affinity, leading to a "golden mean" optimum. Two distinct regimes emerge: under weak TF-TF attraction, contact probability increases with condensate size, whereas strong TF attraction produces a peaked response that declines at high condensation levels. These results indicate that TF condensate acts as a tunable "rheostat", buffering E-P interactions against increasing genomic distances. However, excessive TF clustering leads to molecular crowding and competition that ultimately impair E-P communication. Our study, consistent with recent experiments, establishes a mechanistic framework at molecular level, where balanced TF condensation enables robust long-range E-P communication, reconciling the stochastic nature of chromatin dynamics with the fidelity of gene regulation.

biophysics↗

HIV-1 envelopes from virions that persist in plasma on antiretroviral therapy show reduced susceptibility to autologous immunoglobulins and variable sensitivity to broadly neutralizing monoclonal antibodies

Despite adherence to antiretroviral therapy (ART), low levels of plasma virus persist in most individuals with HIV-1. In a small subset of these individuals, this non-suppressible viremia is detected by routine clinical testing (plasma HIV-1 RNA >20 copies/ml) and has been shown to be of clonal cellular origin. The mechanisms by which these virions escape immune clearance is not defined, but reduced binding and neutralization of their surface envelope protein (Env) by antibodies (Abs) may contribute. To assess this possibility, we measured the monoclonal antibody (mAb) sensitivity of HIV-1 Env in plasma virus from 4 well-characterized individuals on ART with non-suppressible viremia. Thirty-two env plasma sequences were used to produce pseudovirus for neutralization assays with both autologous plasma and a panel of 15 recombinant antibodies that targeted different regions of HIV-1 Env protein. We found that autologous plasma had no neutralizing activity against the pseudoviruses consistent with persistence of viremia. In general, the Envs from the non-suppressible plasma virus were also less sensitive to mAb neutralization compared controls: tier 1 (6535), tier 2 (TRO11) or tier 3 (PVO) subtype B envs, although variability across Envs was evident. Two Env protein variants from one donor, R-09_A8 and R-09_C2, were less sensitive to VRC01 likely due to an additional N-glycan site at a VRC01 contact site and longer V5 regions. Most of the donor Envs were sensitive to at least two of three V3-glycan mAbs except for variant C-03_A6, which showed reduced sensitivity to all three. The CD4 binding site mAb 3BNC117 and the Gp41-specific mAb 10E8 neutralized pseudoviruses from all donors, indicating the potential for clearance of persistent viremia in these individuals studied. Author summaryIn a fraction of individuals on suppressive antiretroviral therapy (ART), episodes of persistent low-level viremia can be observed that is not attributed to ineffective ART and/or non-adherence. Previously in three individuals, we have shown that this viremia results from large HIV-1 infected T cell clones harboring replication-competent proviruses. The factor(s) that allow these infectious virions to be detected and not cleared by the immune system is unknown, suggesting that these virions can evade humoral responses. Using single genome sequencing, we amplified the env from plasma derived virions from these individuals, cloned env -containing amplicons into an expression vector to produce pseudo viruses, which we tested against either their autologous contemporaneous autologous immunoglobulins (Ig) or a panel of 15 recombinant monoclonal antibodies. The results revealed that these pseudovirus were not neutralized by their autologous Igs and exhibited complex pseudovirus-specific susceptibility profiles for the monoclonal antibodies they were tested against. Collectively, our findings suggest that despite resistance to autologous Ig, likely combinations of monoclonal antibodies will be needed to clear this persistent viremia.

immunology↗

DNA Actively Regulates the "Safety-Belt" Dynamics of Condensin during Loop Extrusion

Condensin, a protein complex of the SMC (Structural Maintenance of Chromosomes) family, is essential for genome folding through its active DNA loop extrusion activity. Condensin contains a binding interface between its Ycg1 (HEAT-repeat) and Brn1 (kleisin) subunits that acts like a "safety belt" to trap DNA and prevent its dissociation during loop extrusion. The entrapment of DNA within the binding pocket of the SMC complex is crucial for ATPase activity and the asymmetric loop extrusion. However, the molecular mechanism underlying DNA entrapment remains unclear, hindering our understanding of how condensin functions at a molecular level. Here, we employ multiscale molecular dynamics simulations to reveal how DNA actively modulates condensins safety-belt dynamics. Using all-atom simulations combined with AlphaFold3 predictions, we demonstrate that DNA binding markedly stabilizes the condensin safety belt, facilitating loop extrusion progression. Coarse-grained simulations capture the entire DNA entrapment process, highlighting an active regulatory role of DNA: DNA positioned outside the safety belt triggers its opening, whereas DNA within promotes closure, enhancing complex stability. Kinetic analyses further reveal that the rate-limiting step in DNA entrapment depends critically on the tightness of the safety belt. A loose safety belt makes the stable closure of its "latch" and "buckle" components rate-limiting, whereas a tighter safety belt shifts the barrier to initial DNA entry. Additionally, we find that latch-buckle interaction strength regulates condensins sliding motion along DNA. Our findings provide a comprehensive molecular framework illustrating how DNA actively guides condensins safety-belt dynamics, substantially advancing our mechanistic understanding of chromosome loop extrusion.

biophysics↗

Assessing plant phenological changes based on drivers of spring phenology

Understanding plant phenological responses to climate warming is crucial for predicting changes in plant communities and ecosystems but challenging when relying on sensitivity analysis that is not based on drivers of spring phenology. In this article, we present a new measure phenological lag to quantify the overall effect of phenological constraints including insufficient winter chilling, photoperiod, and environmental stresses, based on observed response and that expected from species-specific changes in spring temperatures, i.e., changes in spring forcing (degree days) from warming and average temperature at budburst with the warmer climate. We applied this new analytical framework to a global dataset with 980 species and 1527 responses to synthesize observed changes in spring budburst (leafing or flowering) and investigate the mechanisms of differential phenological responses reported previously. We found longer phenological lags with experimental studies and native plants in flowering, likely due to more stressful environments associated with warmer and drier climate. Less forcing changes were mainly responsible for the smaller responses in leafing and flowering in boreal region (compared to temperate region) and in grass leafing (compared to trees and shrubs). Higher budburst temperatures also contributed to the smaller responses in flowering for experimental studies and with herbs and grasses. The effects of altitude, latitude, MAT, and average spring temperature change were minor (all combined <2.5% variations), while those of photoperiod and long-term precipitation were not significant in influencing spring phenology. Our method helps to determine mechanisms responsible for changes in spring phenology and differences in plant phenological responses.

ecology↗

(A)symmetry in the Allele-Specific Chromosomal Structural Dynamics during Embryogenesis

Embryonic stem cells (ESCs) lie at the heart of regenerative medicine and hold significant potential for treating various diseases. Understanding how the transcriptional landscape of ESCs is established during embryogenesis is therefore pivotal for deciphering the origins of life and advancing therapeutic strategies. Given the intrinsic connection between genome structure and function, chromosomal structural organizations during embryogenesis play a vital role in shaping gene expression patterns in ESCs. In this study, we employed a data-driven model and non-equilibrium molecular dynamics simulations to quantify large-scale chromosomal structural dynamics during embryogenesis. We focused on allelic differences and their impact on the interplay between chromosomal structure, dynamics, and function. Our results reveal that higher-order chromosomal structure, such as compartments and topologically associated domains (TADs), follow allele-symmetric developmental pathways, whereas the overall geometrical structures of chromosomes exhibit allele asymmetry, with the paternal and maternal chromosome undergoing monotonic and non-monotonic compactions, respectively. Despite these differences, the spatial distribution of chromosomal loci, particularly those rich in genes, adapts in an allele-symmetric manner. We propose that these chromosomal structural organizations during embryogenesis are intricately linked with epigenetic modifications and likely contribute to the transition from totipotency to pluripotency. Moreover, our findings suggest that allele asymmetry in chromosome structural dynamics during embryogenesis arises from long-range interactions, while short-range structures, particularly TADs, promote allele symmetry, a process associated with zygotic genome activation (ZGA). Overall, our findings provide theoretical insights into the dynamic establishment of the ESC genome during embryogenesis from the chromosomal structure perspective, and potentially lay the groundwork for further applications in the field.

biophysics↗

AI-Guided Precision in Antibody Humanization: Structural Modeling to Minimize Immunogenicity and Preserve Efficacy

Antibody humanization is an essential part of converting animal-derived antibodies into clinical candidates however conventional CDR grafting techniques often faces challenges, especially when essential antigen-binding sites extend beyond CDR regions. Additionally, the CDR grafting process tends to retain undesired non-human elements within the CDR regions. In this study, we overcame these challenges by using our proprietary AI-predicted antigen-antibody complex algorithm to effectively humanize a murine antibody. During our AI-powered humanization process, in contrast to traditional CDR grafting techniques, only the crucial paratopes identified through our AI-predicted complex structure were precision grafted onto a select human germline. This paratope grafting technique significantly reduced the antibodies immunogenicity risk while maintaining bioactivity. Moreover, all AI-guided deep humanized antibody variants demonstrated favorable developability, including thermal stability, poly-reactivity, and hydrophobicity. These results not only advance antibody humanization techniques but also demonstrate the power of AI in expediting antibody engineering and derisking clinical research.

bioengineering↗

Mitochondrial accumulation and lysosomal dysfunction result in mitochondrial plaques in Alzheimer's disease

Dysfunctional mitophagy is a key component of Alzheimers disease (AD) pathology, yet direct in vivo evidence and mechanistic insights remain limited. Using a mitophagy reporter in an AD mouse model (APP/PSEN1/mt-Keima), we identified mitochondrial plaques (MPs) composed of accumulated mitochondria within or outside lysosomes in AD, but not normal mouse brains. Similar structures were also found in AD human brains, but not in healthy controls. Abnormal mitochondrial accumulation in dystrophic neurites, defective mitophagy, and impaired lysosomal function disrupted proper mitochondrial degradation, resulting in excessive mitochondria accumulation both within and outside autophagic vesicles. The resulting intensive mitochondria-containing neurites coalesce into MPs, which co-develop with amyloid plaques to form mixed plaques. These findings establish MPs as novel pathological entity and a promising therapeutic target in AD.

cell biology↗

Fluctuating chromatin facilitates enhancer-promoter communication by regulating transcriptional clustering dynamics

AbstractEnhancers regulate gene expression by forming contacts with distant promoters. Phase-separated condensates or clusters formed by transcription factors (TFs) and co-factors are thought to facilitate these enhancer-promoter (E-P) interactions. Using polymer physics, we developed distinct coarse-grained chromatin models that produce similar ensemble-averaged Hi-C maps but with "stable" and "dynamic" characteristics. Our findings, consistent with recent experiments, reveal a multi-step E-P communication process. The dynamic model facilitates E-P proximity by enhancing TF clustering and subsequently promotes direct E-P interactions by destabilizing the TF clusters through chain flexibility. Our study promotes physical understanding of the molecular mechanisms governing E-P communication in transcriptional regulation. Graphical TOC Entry O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=86 SRC="FIGDIR/small/610578v1_ufig1.gif" ALT="Figure 1"> View larger version (30K): org.highwire.dtl.DTLVardef@114b51borg.highwire.dtl.DTLVardef@7e261forg.highwire.dtl.DTLVardef@1f8dc3forg.highwire.dtl.DTLVardef@143ecb5_HPS_FORMAT_FIGEXP M_FIG C_FIG

biophysics↗

Integrated Single-Cell Multiomic Profiling of Caudate Nucleus Suggests Key Mechanisms in Alcohol Use Disorder

Alcohol use disorder (AUD) induces complex transcriptional and regulatory changes across multiple brain regions including the caudate nucleus, which remains understudied. Using paired single-nucleus RNA-seq and ATAC-seq on caudate samples from 143 human postmortem brains, including 74 with AUD, we identified 17 distinct cell types. We found that a significant portion of the alcohol-induced changes in gene expression occurred through altered chromatin accessibility. Notably, we identified novel transcriptional and chromatin accessibility differences in medium spiny neurons, impacting pathways such as RNA metabolism and immune response. A small cluster of D1/D2 hybrid neurons showed distinct differences, suggesting a unique role in AUD. Microglia exhibited distinct activation states deviating from classical M1/M2 designations, and astrocytes entered a reactive state partially regulated by JUND, affecting glutamatergic synapse pathways. Oligodendrocyte dysregulation, driven in part by OLIG2, was linked to demyelination and increased TGF-{beta}1 signaling from microglia and astrocytes. We also observed increased microglia-astrocyte communication via the IL-1{beta} pathway. Leveraging our multiomic data, we performed cell type-specific expression quantitative trait loci analysis, integrating that with public genome-wide association studies to identify AUD risk genes such as ADAL and PPP2R3C, providing a direct link between genetic variants, chromatin accessibility, and gene expression in AUD. These findings not only provide new insights into the genetic and cellular mechanisms in the caudate related to AUD but also demonstrate the broader utility of large-scale multiomic studies in uncovering complex gene regulation across diverse cell types, which has implications beyond the substance use field.

neuroscience↗

Denoising, Deblurring, and optical Deconvolution for cryo-ET and light microscopy with a physics-informed deep neural network DeBCR

Computational image-quality enhancement for microscopy (deblurring, denoising, and optical deconvolution) provides researchers with detailed information on samples. Recent general-purpose deep learning solutions advanced in this task. Yet, without consideration of the underlying physics, they may yield unrealistic and non-existent details and distortions during image restoration, requiring domain expertise to discern true features from artifacts. Furthermore, the large expressive capacity of general-purpose deep learning models requires more resources to train and use in applications. We introduce DeBCR, a physics-informed deep learning model based on wavelet theory to enhance microscopy images. DeBCR is a light model with a fast runtime and without hallucinations. We evaluated the image restoration performance of DeBCR and 12 current state-of-the-art models over 6 datasets spanning crucial modalities in advanced light microscopy and cryo-electron tomography. Leveraging optic models, DeBCR demonstrates superior performance in denoising, optical deconvolution, and deblurring tasks across both LM and cryo-ET modalities.

bioinformatics↗

Dynamic Single Cell Transcriptomics Defines Kidney FGF23/KL Bioactivity and Novel Segment-Specific Inflammatory Targets

FGF23 via its coreceptor Klotho (KL) provides critical control of phosphate metabolism, which is altered in rare and very common syndromes, however the spatial-temporal mechanisms dictating renal FGF23 functions remain poorly understood. Thus, developing approaches to modify specific FGF23-dictated pathways has proven problematic. Herein, wild type mice were injected with rFGF23 for 1, 4 and 12h and renal FGF23 bioactivity was determined at single cell resolution. Computational analysis identified distinct epithelial, endothelial, stromal, and immune cell clusters, with differential expressional analysis uniquely tracking FGF23 bioactivity at each time point. FGF23 actions were sex independent but critically relied upon constitutive KL expression mapped within proximal tubule (S1-S3) and distal tubule (DCT/CNT) cell sub-populations. Temporal KL-dependent FGF23 responses drove unique and transient cellular identities, including genes in key MAPK- and vitamin D-metabolic pathways via early- (AP-1-related) and late-phase (EIF2 signaling) transcriptional regulons. Combining ATACseq/RNAseq data from a cell line stably expressing KL with the in vivo scRNAseq pinpointed genomic accessibility changes in MAPK-dependent genes, including the identification of FGF23-dependent EGR1 distal enhancers. Finally, we isolated unexpected crosstalk between FGF23-mediated MAPK signaling and pro-inflammatory TNF receptor activation via NF-{kappa}B, which blocked FGF23 bioactivity in vitro and in vivo. Collectively, our findings have uncovered novel pathways at the single cell level that likely influence FGF23-dependent disease mechanisms. Translational statementInflammation and elevated FGF23 in chronic kidney disease (CKD) are both associated with poor patient outcomes and mortality. However, the links between these manifestations and the effects of inflammation on FGF23-mediated mineral metabolism within specific nephron segments remain unclear. Herein, we isolated an inflammatory pathway driven by TNF/NF-{kappa}B associated with regulating FGF23 bioactivity. The findings from this study could be important in designing future therapeutic approaches for chronic mineral diseases, including potential combination therapies or early intervention strategies. We also suggest that further studies could explore these pathways at the single cell level in CKD models, as well as test translation of our findings to interactions of chronic inflammation and elevated FGF23 in human CKD kidney datasets.

physiology↗