Biology subjects

Miyagi, M.

Publications and source records attributed to Miyagi, M..

14 recordsLinked to original sources

bioRxiv2026

Distinct metabolic states of yeast and pseudohyphae differentially prime innate immune responsiveness

Pseudohyphal growth in skin-associated fungi is often considered a morphological response to environmental stress, but whether it represents a coordinated metabolic state that influences host immunity remains unclear. Using Malassezia furfur, we combined synchronized morphogenesis, temporal metabolomics, stable-isotope tracing, targeted metabolite measurements, transcriptional profiling, and functional immune assays to compare yeast and pseudohyphal states. Yeast cells maintained an active tryptophan-aldehyde metabolic program that partitioned carbon between oxidative and reductive branches associated with redox balance and methylation potential. Pseudohyphal cells attenuated this program and instead underwent sequential metabolic remodeling, characterized by early changes in one-carbon and amino acid metabolism followed by sulfur-pathway remodeling and increased glutathione biosynthesis. These distinct fungal states generated extracellular environments that altered THP-1 innate immune responsiveness without directly inducing canonical macrophage polarization. Yeast-conditioned cells responded preferentially to tissue-repair signals, whereas pseudohypha-conditioned cells displayed enhanced responses to inflammatory stimuli. Individual metabolites did not reproduce these effects, suggesting that immune conditioning depends on the integrated extracellular milieu. Together, these findings identify pseudohyphal growth as an organized adaptive metabolic state and establish a framework linking fungal morphogenetic potential to context-dependent host immune responses.

microbiology↗

bioRxiv2026

Conformational signatures of native ligand and pharmacochaperone binding in rhodopsin

Rhodopsin misfolding underlies rhodopsin-linked retinitis pigmentosa, and small-molecule pharmacochaperones represent a promising therapeutic strategy. However, the mechanisms by which these compounds interact with and stabilize rhodopsin remain poorly understood. Here, we combine backbone amide hydrogen-deuterium exchange mass spectrometry (amide HDX-MS), histidine-specific HDX (His-HDX), protein structure network (PSN) analysis, molecular docking, and functional spectroscopy to define ligand-induced conformational signatures in this receptor elicited by three non-retinoid small molecules, quercetin, myricetin, and the chromenone CR5, and to compare them with those of the native chromophore 11-cis-retinal. Binding of 11-cis-retinal to ligand-free opsin establishes a benchmark orthosteric conformational signature, characterized by strong backbone HDX protection across TM4-TM7 and adjacent loops, suppression of EX1-like hydrogen-deuterium exchange kinetics at the N-terminal ends of TM1 and TM4, and reorganization of PSN hubs that stabilizes an inactive-state residue interaction network. All three non-retinoid ligands generate HDX footprints that closely track this retinal-induced pattern within the chromophore pocket, consistent with direct orthosteric engagement, but they confer weaker and ligand-specific stabilization. Among them, quercetin most closely reproduces the retinal-like backbone protection and His-HDX microenvironment changes, whereas myricetin and CR5 only partially recapitulate retinal-induced stabilization and redistribute conformational flexibility toward TM1 and intradiscal regions, without fully suppressing EX1-like gating. In addition, all three compounds induce weak cytoplasmic allosteric effects in retinal-bound rhodopsin, indicating secondary interactions in addition to a primary orthosteric mechanism. Together, these results provide the first residue-level experimental framework for understanding the differential pharmacochaperoning capacity of non-retinoid ligands and highlight key conformational principles for future optimization of opsin stabilizers.

biochemistry↗

bioRxiv2025

Development of a New Approach Method to Monitor and Modify Caffeine Metabolism Correlated to CYP1A2 Expression

New approach methodologies (NAMs) that seek to reduce reliance on animal testing require sensitive, mechanism-based assays to accurately predict human-specific metabolic responses. Caffeine, primarily metabolized by cytochrome P450 1A2 (CYP1A2), serves as an ideal probe substrate for evaluating CYP1A2 function. Here, we describe the development of an in vitro platform that combines high-sensitivity triple quadrupole multiple reaction monitoring (MRM) LC-MS analysis of paraxanthine with quantitative reverse-transcription PCR (qPCR) of CYP1A2 expression. Using human hepatocellular carcinoma-derived cell lines (HepG2 and Hep3B), we demonstrate that modulating CYP1A2 with known effectors, sulforaphane (a known CYP1A2 inhibitor), 3-methylcholanthrene (inducer), and galangin (moderate inducer), changes in both paraxanthine accumulation and CYP1A2 mRNA levels can be effectively monitored. The correlations observed between transcriptional responses and metabolic outputs validate paraxanthine as a sensitive readout of CYP1A2 function in these cell lines. Moreover, the assay remains robust across multiple experimental conditions and facilitates insights into enzyme induction or inhibition mechanisms. By providing a straightforward and scalable alternative to animal models, this approach expands the toolbox available for interrogating xenobiotic metabolism, and enzyme regulation. Ultimately, these findings highlight the utility of an integrated cell culture-based system for advancing studies of hepatic enzyme function. This platform enables investigators to readily screen and characterize compounds that influence CYP1A2-mediated metabolism, providing a straightforward, scalable, alternative to animal models.

biochemistry↗

bioRxiv2025

Transcriptional downregulation of rhodopsin is associated with desensitization of rods to light-induced damage in a murine model of retinitis pigmentosa.

Class I rhodopsin mutations are known for some of the most severe forms of vision impairments in dominantly inherited rhodopsin retinitis pigmentosa. They disrupt the VxPx transport signal, which is required for the proper localization of rhodopsin to the outer segments. While various studies have focused on the light-dependent toxicity of mutant rhodopsin, it remains unclear whether and how these mutations exert dominant-negative effects. Using the class I RhoQ344X rhodopsin knock-in mouse model, we characterized the expression of rhodopsin and other genes by RNA sequencing and qPCR. Those studies indicated that rhodopsin is the most prominently downregulated photoreceptor-specific gene in RhoQ344X/+ mice. Rhodopsin is downregulated significantly prior to the onset of rod degeneration, whereas downregulation of other phototransduction genes, transducin, and Pde6, occurs after the onset and correlate with the degree of rod cell loss. Those studies indicated that the mutant rhodopsin gene causes downregulation of wild-type rhodopsin, imposing an mRNA-level dominant negative effect. Moreover, it causes downregulation of the mutant mRNA itself, mitigating the toxicity. The observed dominant effect is likely common among rhodopsin retinitis pigmentosa as we found a similar rhodopsin downregulation in the major class II rhodopsin mutant model, RhoP23H/+ mice, in which mutant rhodopsin is prone to misfold. Potentially due to mitigated toxicity by reduced rhodopsin expression, RhoQ344X/+ mice did not exhibit light-dependent exacerbation of rod degeneration, even after continuous exposure of mice for 5 days at 3000 lux. Thus, this study describes a novel form of dominant negative effect in inherited neurodegenerative disorders.

neuroscience↗

bioRxiv2025

Delineating JunB's Crucial Function in Mature Th17 Cells through Inducible Targeted Protein Degradation

The AP-1 transcription factor JunB is essential for the differentiation of pathogenic T helper 17 (Th17) cells, which are key mediators of autoimmune diseases such as multiple sclerosis and colitis. While the importance of JunB during Th17 polarization is known, its role in mature Th17 cells--critical therapeutic targets in these diseases--remains unclear. In this study, we employed the dTAG system, a targeted protein degradation approach, to deplete JunB in Th17 cells generated both in vitro and in vivo. During pathogenic Th17 cell differentiation, JunB degradation replicated known effects of JunB deficiency, including reduced expression of interleukin (IL)-17A and the genes encoding ROR{gamma}t (Rorc) and the IL-23 receptor (Il23r). In contrast, in mature pathogenic Th17 cells, JunB degradation downregulated Il23r without affecting IL-17A or Rorc expression. Furthermore, JunB degradation compromised the viability of mature pathogenic Th17 cells. Transcriptomic analyses revealed that JunB regulates distinct gene sets during Th17 polarization compared to mature Th17 cells. The gene Inhba, which encodes activin A, was identified as a JunB target in both stages. Supplementation with activin A restored IL-17A and Rorc expression during pathogenic Th17 cell differentiation. These findings demonstrate that JunB maintains mature pathogenic Th17 cell phenotypes, including IL-23 receptor expression, and supports pathogenic Th17 cell survival. As IL-23 signaling is crucial for sustaining pathogenic Th17 cells, targeting JunB may offer a therapeutic strategy to limit Th17-driven autoimmune inflammation.

immunology↗

bioRxiv2024

Elucidating the dynamics of Integrin αIIb3 from native platelet membranes by cryo-EM with build and retrieve method

Platelets fulfill their essential physiological roles sensing the extracellular environment through their membrane proteins. The native membrane environment provides essential regulatory cues that impact the protein structure and mechanism of action. Single-particle cryogenic electron microscopy (cryo-EM) has transformed structural biology by allowing high-resolution structures of membrane proteins to be solved from homogeneous samples. Our recent breakthroughs in data processing now make it feasible to obtain atomic-level-resolution protein structures from crude preparations in their native environments by integrating cryo-EM with the "Build-and-Retrieve" (BaR) data processing methodology. We applied this iterative bottom-up methodology on resting human platelet membranes for an in-depth systems biology approach to uncover how lipids, metal binding, post-translational modifications, and co-factor associations in the native environment regulate platelet function at the molecular level. Here, we report using cryo-EM followed by the BaR method to solve the unmodified integrin IIb{beta}3 structure directly from resting human platelet membranes in its inactivated and intermediate states at 2.75[A] and 2.67[A], respectively. Further, we also solved a novel dimer conformation of IIb{beta}3 at 2.85[A] formed by two intermediate-states of IIb{beta}3. This may indicate a previously unknown self-regulatory mechanism of IIb{beta}3 in its native environment. In conclusion, our data show the power of using cryo-EM with the BaR method to determine three distinct structures including a novel dimer directly from natural sources. This approach allows us to identify unrecognized regulation mechanisms for proteins without artifacts due to purification processes. These data have the potential to enrich our understanding of platelet signaling circuitry. Key pointsO_LIWe report the first structural analysis of platelet membrane proteins extracted directly from human platelet membranes. C_LIO_LIOur novel structural-omics approach allowed us to solve integrin IIb{beta}3 structures in two distinct states from resting human platelets. C_LIO_LIRegulatory cues of integrin IIb{beta}3 were preserved from the native resource and revealed on the models with atomic resolutions. C_LIO_LIThis study opens the potential to build the platelet membrane protein atlas to understand platelet physiology. C_LI

biochemistry↗

bioRxiv2024

The Plasmodium falciparum NCR1 membrane protein is a novel antimalarial target that exports cholesterol to maintain membrane homeostasis

Malaria is an extremely devastating parasitic infection that kills over half a million people each year. It is the leading cause of death in many developing countries, in part, due to a lack of resources and readily available therapeutics. Unfortunately, the most prevalent and deadliest causative agent of malaria, Plasmodium falciparum, has developed resistance to nearly all currently available antimalarial drugs. The P. falciparum Niemann-Pick Type C1-related (PfNCR1) transporter has been identified as a druggable target, as it is required for membrane homeostasis of the parasite. However, the structure and detailed molecular mechanism of this membrane protein are not yet available. Here we present three structures of PfNCR1 both in the absence and presence of the functional inhibitor MMV009108 at resolutions between 2.98 [A] and 3.81 [A] using single-particle cryo-electron microscopy (cryo-EM). The data suggest that PfNCR1 binds cholesterol and forms a cholesterol transport tunnel to modulate the composition of the parasite plasma membrane. Cholesterol efflux assays substantiate this as they show that PfNCR1 is an exporter capable of extruding cholesterol from the membrane. Additionally, the inhibition mechanism of MMV009108 appears to be due to a direct blockage of PfNCR1, preventing this transporter from shuttling cholesterol.

biochemistry↗

bioRxiv2024

A Ketogenic Diet Sensitizes Pancreatic Cancer to Inhibition of Glutamine Metabolism

Pancreatic cancer is the third leading cause of cancer death in the United States, and while conventional chemotherapy remains the standard treatment, responses are poor. Safe and alternative therapeutic strategies are urgently needed1. A ketogenic diet has been shown to have anti-tumor effects across diverse cancer types but will unlikely have a significant effect alone. However, the diet shifts metabolism in tumors to create new vulnerabilities that can be targeted (1). Modulators of glutamine metabolism have shown promise in pre-clinical models but have failed to have a marked impact against cancer in the clinic. We show that a ketogenic diet increases TCA and glutamine-associated metabolites in murine pancreatic cancer models and under metabolic conditions that simulate a ketogenic diet in vitro. The metabolic shift leads to increased reliance on glutamine-mediated anaplerosis to compensate for low glucose abundance associated with a ketogenic diet. As a result, glutamine metabolism inhibitors, such as DON and CB839 in combination with a ketogenic diet had robust anti-cancer effects. These findings provide rationale to study the use of a ketogenic diet with glutamine targeted therapies in a clinical context. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=186 SRC="FIGDIR/small/604377v1_ufig1.gif" ALT="Figure 1"> View larger version (27K): org.highwire.dtl.DTLVardef@1ebeefforg.highwire.dtl.DTLVardef@97e2ceorg.highwire.dtl.DTLVardef@1ab45c3org.highwire.dtl.DTLVardef@1713540_HPS_FORMAT_FIGEXP M_FIG C_FIG Graphical Abstract Description: Mechanistic rationale for combining a ketogenic diet and glutamine metabolism inhibitors. The combination of low glucose from a ketogenic diet and pharmacologic glutamine inhibition impairs nutrient input to mitochondria, reducing cancer growth.

cancer biology↗

bioRxiv2022

How many ecological niches are defined by the superabundant marine microbe Prochlorococcus?

Determining the identities, frequencies, and memberships of ecotypes in Prochlorococcus and other superabundant microbes (SAMs) is essential to studies of their evolution and ecology. This is challenging, however, because the extremely large population sizes of SAMs likely cause violations of foundational assumptions made by standard methods used in molecular evolution and phylogenetics. Here we present a tree-free likelihood method to identify ecotypes, which we define as populations with genome sequences whose high similarity is maintained by purifying selection. We applied the method to 96 genomes of the superabundant marine cyanobacterium Prochlorococcus and find that this sample is comprised of about 24 ecotypes, substantially more than the five major ecotypes that are generally recognized. The method presented here may prove useful with other superabundant microbes.

evolutionary biology↗

bioRxiv2022

Human immune and gut microbial parameters associated with inter-individual variations in COVID-19 mRNA vaccine-induced immunity

COVID-19 mRNA vaccines induce protective adaptive immunity against SARS-CoV-2 in most individuals, but there is wide variation in levels of vaccine-induced antibody and T-cell responses. However, factors associated with this inter-individual variation remain unclear. Here, using a systems biology approach based on multi-omics analyses of human blood and stool samples, we find that baseline expression of AP-1 transcription factors, FOS and ATF3, is inversely correlated with BNT162b2 mRNA vaccine-induced T-cell responses. FOS expression is associated with transcription modules related to baseline immunity, but it is negatively associated with those related to T-cell activation upon BNT162b2 mRNA stimulation. Interestingly, the gut microbial fucose/rhamnose degradation pathway is positively correlated with FOS and ATF3 expression and inversely correlated with BNT162b2-induced T-cell responses. Taken together, these results demonstrate that baseline expression of AP-1 genes, which is associated with the gut microbial fucose/rhamnose degradation pathway, is a key negative correlate of BNT162b2-induced T-cell responses.

immunology↗

bioRxiv2019

Expression and purification of Protease Activated Receptor 4 (PAR4) and analysis with histidine hydrogen deuterium exchange.

Protease activated receptors (PARs) are G-protein coupled receptors (GPCRs) that are activated by proteolyis of the N-terminus, which exposes a tethered ligand that interacts with the receptor. Numerous studies have focused on the signaling pathways mediated by PARs. However, the structural basis for initiation of these pathways is unknown. Here, we describe a strategy for the expression and purification of PAR4. This is the first PAR family member to be isolated without stabilizing modifications for biophysical studies. We monitored PAR4 activation with histidine-hydrogen deuterium exchange (His-HDX). PAR4 has 9 histidines that are spaced throughout the protein allowing a global view of solvent accessible and non-accessible regions. Peptides containing each of the 9 His residues were used to determine the t1/2 for each His residue in apo or thrombin activated PAR4. The thrombin cleaved PAR4 had a 2-fold increase (p > 0.01) in t1/2 values observed for four histidine residues (His180, His229, His240, and His380) demonstrating that these regions have decreased solvent accessibility upon thrombin treatment. In agreement, thrombin cleaved PAR4 also was resistant to thermolysin digestion. In contrast, activation with the PAR4 agonist peptide was digested at the same rate as apo PAR4. Further analysis showed the C-terminus is protected in thrombin activated PAR4 compared to uncleaved or agonist peptide treated PAR4. The studies described here are the first to examine the tethered ligand activation mechanism for a PAR family member using biophysically and shed light on the overall conformational changes that follow activation of PARs by a protease.

biochemistry↗

bioRxiv2018

Genomic architecture and introgression shape a butterfly radiation

We here pioneer a low-cost assembly strategy for 20 Heliconiini genomes to characterize the evolutionary history of the rapidly radiating genus Heliconius. A bifurcating tree provides a poor fit to the data, and we therefore explore a reticulate phylogeny for Heliconius. We probe the genomic architecture of gene flow, and develop a new method to distinguish incomplete lineage sorting from introgression. We find that most loci with non-canonical histories arose through introgression, and are strongly underrepresented in regions of low recombination and high gene density. This is expected if introgressed alleles are more likely to be purged in such regions due to tighter linkage with incompatibility loci. Finally, we identify a hitherto unrecognized inversion, and show it is a convergent structural rearrangement that captures a known color pattern switch locus within the genus. Our multi-genome assembly approach enables an improved understanding of adaptive radiation.

evolutionary biology↗

bioRxiv2018

Fast Estimation of Recombination Rates Using Topological Data Analysis

Accurate estimation of recombination rates is critical for studying the origins and maintenance of genetic diversity. Because the inference of recombination rates under a full evolutionary model is computationally expensive, an alternative approach using topological data analysis (TDA) has been proposed. Previous TDA methods used information contained solely in the first Betti number ({beta}1)of the cloud of genomes, which relates to the number of loops that can be detected within a genealogy. While these methods are considerably less computationally intensive than current biological model-based methods, these explorations have proven difficult to connect to the theory of the underlying biological process of recombination, and consequently have unpredictable behavior under different perturbations of the data. We introduce a new topological feature with a natural connection to coalescent models, which we call{psi} . We show that{psi} and {beta}1 are differentially affected by changes to the structure of the data and use them in conjunction to provide a robust, efficient, and accurate estimator of recombination rates, TREE. Compared to previous TDA methods, TREE more closely approximates of the results of commonly used model-based methods. These characteristics make TREE well suited as a first-pass estimator of recombination rate heterogeneity or hotspots throughout the genome. In addition, we present novel arguments relating {beta}1 to population genetic models; our work justifies the use of topological statistics as summaries of distributions of genome sequences and describes a new, unintuitive relationship between topological summaries of distance and the footprint of recombination on genome sequences.

evolutionary biology↗

bioRxiv2017

The PTPRT pseudo-phosphatase domain is a denitrase

Protein tyrosine nitration occurs under both physiological and pathological conditions1. However, enzymes that remove this protein modification have not yet been identified. Here we report that the pseudo-phosphatase domain of protein tyrosine receptor T (PTPRT) is a denitrase that removes nitro-groups from tyrosine residues in paxillin. PTPRT normally functions as a tumor suppressor and is frequently mutated in a variety of human cancers including colorectal cancer2,3. We demonstrate that some of the tumor-derived mutations located in the pseudophosphatase domain impair the denitrase activity. Moreover, PTPRT mutant mice that inactivate the denitrase activity are susceptible to carcinogen-induced colon tumor formation. This study uncovers a novel enzymatic activity that is involved in tumor suppression.

cancer biology↗