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Nagai, M.

Publications and source records attributed to Nagai, M..

At least 19 recordsLinked to original sources

Bone marrow B cell collapse promotes bone metastasis in breast cancer

Metastasis remains the primary cause of cancer-related deaths and is characterized by complex reprogramming of systemic processes. Emerging evidence indicates that extraosseous tumors can rewire bone marrow physiology and disrupt hematopoiesis, thereby compromising effective systemic immune responses. However, how tumor-induced immune alterations in bone marrow contribute to skeletal metastasis remains poorly defined. Here, using immunocompetent mouse models of mammary tumor bone metastasis, we show that mammary cancer cells precondition the bone marrow niche prior to metastatic colonization, driving early remodeling of the microenvironment and depleting bone marrow lymphoid populations. Specifically, cancer cells induce a dramatic B cell reduction, the most abundant lymphoid subset in bone marrow, resulting from dysregulated cell cycle gene expression in pre-B cells, along with impaired B-cell proliferation and differentiation. These findings are further validated in breast cancer bone metastasis patients, who exhibit significant bone marrow B-cell loss alongside disrupted molecular and developmental programs. A causal role for B cells in restraining skeletal metastasis is supported by the finding that experimental B-cell depletion significantly increases both incidence and severity of bone metastasis. Mechanistically, we find that B-cell loss is driven by systemic elevation of G-CSF. Accordingly, pharmacological neutralization of G-CSF significantly reduces both B-cell depletion and bone metastasis susceptibility. Collectively, our data reveal that breast cancer cells can distantly hijack B-cell developmental trajectories, promoting skeletal metastasis. This work identifies B cells and G-CSF as potential therapeutic targets in bone metastasis and highlights the importance of targeting early bone marrow immune dysregulation to prevent or limit skeletal metastasis. HIGHLIGHTSO_LIMammary tumor cells reshape the bone marrow niche inducing B cell loss C_LIO_LIBone marrow B cell development is impaired in mammary tumor metastasis C_LIO_LIExperimental depletion of B cells promotes bone metastasis C_LIO_LIG-CSF mediates B cell loss in mammary tumor metastasis C_LI

cancer biology↗

Decoding Smell from Receptor Structure

Olfaction enables animals to detect and discriminate a vast array of chemicals, yet how odorant receptors (ORs) encode ligand selectivity remains unclear. Although recent advances in protein structure prediction have expanded access to OR structures, linking these to function at scale has been challenging. Here, we combined AlphaFold3-predicted receptor structures with protein language model embeddings and in vivo pS6-IP-Seq measurements of olfactory sensory neuron activation across a chemically diverse odor panel to train a deep learning model of OR-ligand interactions. The resulting framework predicts receptor responses, organizes receptors by functional similarity independent of sequence, and identifies structural determinants of ligand selectivity. These findings establish a structure-based map of OR function and provide a foundation for predictive and interpretable models of olfactory coding.

molecular biology↗

Ketogenic diet synergistic reprogramming of both host and microbiome promotes tissue regeneration

Nutrition influences host physiological processes, yet how diets reshape host physiology, microbial functions, or host-microbe interactions to promote regeneration remains poorly explored. Here, we show that a ketogenic diet (KD), enriched in fats and low in carbohydrates, reprograms both skin microbial and immune functions to promote tissue repair. KD enhances IL-17A activity in {gamma}{delta} T cells and mucosal-associated invariant T (MAIT) cells, accelerating tissue repair, while KD-induced skin lipidomic alterations enhance both the abundance and metabolic output of Staphylococcus epidermidis. Metatranscriptomic and lipidomic analyses revealed increased riboflavin biosynthesis and sphingomyelinase (Sph)-dependent ceramide production in S. epidermidis under KD conditions. Genetic depletion of microbial ribD, a key enzyme for riboflavin biosynthesis, or of sph compromised the ability of the bacteria to promote tissue repair. Thus, host nutritional status drives tissue regeneration by synergistically rewiring host and microbial functions, providing new insights into how diet can be harnessed to regulate host physiology.

immunology↗

Synaptic mitochondrial oxidative stress drives individual variability in age-related cognitive decline in mice

Aging leads to cognitive decline with considerable individual variability, yet the biological mechanisms remain unclear. Here we performed ultrastructural and proteomic analyses of the medial prefrontal cortex (mPFC) alongside behavioral assessments of attentional set shifting in mice across age groups. Although reduced synaptic density did not consistently lead to cognitive decline, proteomic analyses of synaptosomes and whole tissue revealed that the molecular signatures associated with individual variability in cognitive decline were distinct from those associated with chronological aging, and that synaptic mitochondria and their proteins were more abundant in aged mice with greater cognitive decline. Moreover, treatment with the mitochondria-targeted antioxidant MitoQ reduced the abundance of synaptic mitochondrial proteins, including pro-apoptotic proteins, and mitigated age-related cognitive decline. These findings demonstrate that synaptic mitochondrial oxidative stress in the mPFC, distinct from chronological age-related processes, contributes to individual variability in age-related cognitive decline and offers a potential target for prevention and intervention.

animal behavior and cognition↗

tugMedi: simulator of cancer-cell evolution for personalized medicine based on the genomic data of patients

Cancer comprehensive genomic profiling tests are increasingly used, but drug response rates remain limited. Simulations forecasting cancer progression could aid targeted therapies; however, existing simulations focus mainly on basic biology. We present tugMedi, a cancer-cell evolution simulator designed for cancer genome medicine. By integrating patient-specific genomic and imaging data, tugMedi reconstructs each tumors genomic features and growth behavior, enabling real-time predictions of clonal dynamics under virtual drug regimens. tugMedi explicitly models copy number alterations and SNVs on parental chromosomes in recessive and dominant modes, capturing loss-of-heterozygosity and yielding precise variant allele frequencies and tumor contents. It handles mutations in cancer-related genes with real exon-intron structures by a fast algorithm. For TCGA samples, it provided ensemble predictions of clonal dynamics, allowing extraction of drug response, tumor-size shrinkage rates, and time to recurrence under specific drug conditions. tugMedi represents a first step toward simulation-driven genome medicine based on a patient-derived virtual tumor.

bioinformatics↗

Sulfide is a keystone metabolite for gut homeostasis and immunity

Hydrogen sulfide is a gaseous, reactive molecule specifically enriched in the gastrointestinal tract. Here, we uncover a non-redundant role for sulfide in the control of both microbial and immune homeostasis of the gut. Notably, depletion of sulfide via both pharmaceutical and dietary interventions led to a profound collapse of CD4 T cells in the ileum of the small intestine lamina propria and significant impact on microbial ecology. As a result, mice with reduced sulfide within the gut were deficient in their ability to mount T cell dependent antibody responses to oral vaccine. Mechanistically, our results support the idea that sulfide could act directly on CD4 T cells via enhanced AP-1 activation, leading to heightened proliferation and cytokine production. This study uncovers sulfides as keystone components in gut ecology and provides mechanistic insight between diet, gut sulfide production and mucosal immunity.

immunology↗

Asynchronous microexon splicing of LSD1 and PHF21A during neurodevelopment

LSD1 histone H3K4 demethylase and its binding partner PHF21A, a reader protein for unmethylated H3K4, both undergo neuron-specific microexon splicing. The LSD1 neuronal microexon weakens H3K4 demethylation activity and can alter the substrate specificity to H3K9 or H4K20. Meanwhile, the PHF21A neuronal microexon interferes with nucleosome binding. However, the temporal expression patterns of LSD1 and PHF21A splicing isoforms during brain development remain unknown. In this work, we report that neuronal PHF21A isoform expression precedes neuronal LSD1 isoform expression during human neuron differentiation and mouse brain development. The asynchronous splicing events resulted in stepwise deactivation of the LSD1-PHF21A complex in reversing H3K4 methylation. We further show that the enzymatically inactive LSD1-PHF21A complex interacts with neuron-specific binding partners, including MYT1-family transcription factors and post-transcriptional mRNA processing proteins such as VIRMA. The interaction with the neuron-specific components, however, did not require the PHF21A microexon, indicating that the neuronal proteomic milieu, rather than the microexon-encoded PHF21A segment, is responsible for neuron-specific complex formation. These results indicate that the PHF21A microexon is dispensable for neuron-specific protein-protein interactions, yet the enzymatically inactive LSD1-PHF21A complex might have unique gene-regulatory roles in neurons.

biochemistry↗

The neuroimmune CGRP-RAMP1 axis tunes cutaneous adaptive immunity to the microbiota

The somatosensory nervous system surveils external stimuli at barrier tissues, regulating innate immune cells under infection and inflammation. The roles of sensory neurons in controlling the adaptive immune system, and more specifically immunity to the microbiota, however, remain elusive. Here, we identified a novel mechanism for direct neuroimmune communication between commensal-specific T lymphocytes and somatosensory neurons mediated by the neuropeptide Calcitonin Gene-Related Peptide (CGRP) in the skin. Intravital imaging revealed that commensal-specific T cells are in close proximity to cutaneous nerve fibers in vivo. Correspondingly, we observed upregulation of the receptor for the neuropeptide CGRP, RAMP1, in CD8+ T lymphocytes induced by skin commensal colonization. Neuroimmune CGRP-RAMP1 signaling axis functions in commensal-specific T cells to constrain Type 17 responses and moderate the activation status of microbiota-reactive lymphocytes at homeostasis. As such, modulation of neuroimmune CGRP-RAMP1 signaling in commensal-specific T cells shapes the overall activation status of the skin epithelium, thereby impacting the outcome of responses to insults such as wounding. The ability of somatosensory neurons to control adaptive immunity to the microbiota via the CGRP-RAMP1 axis underscores the various layers of regulation and multisystem coordination required for optimal microbiota-reactive T cell functions under steady state and pathology. Significance statementMultisystem coordination at barrier surfaces is critical for optimal tissue functions and integrity, in response to microbial and environmental cues. In this study, we identified a novel neuroimmune crosstalk mechanism between the sensory nervous system and the adaptive immune response to the microbiota, mediated by the neuropeptide CGRP and its receptor RAMP1 on skin microbiota-induced T lymphocytes. The neuroimmune CGPR-RAMP1 axis constrains adaptive immunity to the microbiota and overall limits the activation status of the skin epithelium, impacting tissue responses to wounding. Our study opens the door to a new avenue to modulate adaptive immunity to the microbiota utilizing neuromodulators, allowing for a more integrative and tailored approach to harnessing microbiota-induced T cells to promote barrier tissue protection and repair.

immunology↗

A neuron-specific microexon ablates the novel DNA-binding function of a histone H3K4me0 reader PHF21A

How cell-type-specific chromatin landscapes emerge and progress during metazoan ontogenesis remains an important question. Transcription factors are expressed in a cell-type-specific manner and recruit chromatin-regulatory machinery to specific genomic loci. In contrast, chromatin-regulatory proteins are expressed broadly and are assumed to exert the same intrinsic function across cell types. However, human genetics studies have revealed an unexpected vulnerability of neurodevelopment to chromatin factor mutations with unknown mechanisms. Here, we report that 14 chromatin regulators undergo evolutionary-conserved neuron-specific splicing events involving microexons. Of the 14 chromatin regulators, two are integral components of a histone H3K4 demethylase complex; the catalytic subunit LSD1 and an H3K4me0-reader protein PHF21A adopt neuron-specific forms. We found that canonical PHF21A (PHF21A-c) binds to DNA by AT-hook motif, and the neuronal counterpart PHF21A-n lacks this DNA-binding function yet maintains H3K4me0 recognition intact. In-vitro reconstitution of the canonical and neuronal PHF21A-LSD1 complexes identified the neuronal complex as a hypomorphic H3K4 demethylating machinery with reduced nucleosome engagement. Furthermore, an autism-associated PHF21A missense mutation, 1285 G>A, at the last nucleotide of the common exon immediately upstream of the neuronal microexon led to impaired splicing of PHF21A-n. Thus, ubiquitous chromatin regulatory complexes exert unique intrinsic functions in neurons via alternative splicing of their subunits and potentially contribute to faithful human brain development.

molecular biology↗

Machine learning-assisted medium optimization revealed the discriminated strategies for improved production of the foreign and native metabolites

The medium composition was crucial for achieving the best performance of synthetic construction. What and how medium components determined the production of the synthetic construction remained poorly investigated. To address the questions, a comparative survey with two genetically engineered Escherichia coli strains was performed. As a case study, the strains carried the synthetic pathways for producing the aromatic compounds of 4APhe or Tyr, which were common in the upstream but differentiated in the downstream metabolism. Bacterial growth and compound production were examined in hundreds of medium combinations that comprised 48 pure chemicals. The resultant data sets linking the medium composition to bacterial growth and production were subjected to machine learning for improved production. Intriguingly, the primary medium components determining the production of 4PheA and Tyr were differentiated, which were the initial resource (glucose) of the synthetic pathway and the inducer (IPTG) of the synthetic construction, respectively. Fine-tuning of the primary component significantly increased the yields of 4APhe and Tyr, indicating that a single component could be crucial for the performance of synthetic construction. Transcriptome analysis observed the local and global changes in gene expression for improved production of 4APhe and Tyr, respectively, revealing divergent metabolic strategies for producing the foreign and native metabolites. The study demonstrated that ML-assisted medium optimization could provide a novel point of view on how to make the synthetic construction meet the original design.

systems biology↗

Potentially translated sequences determine protein-coding potential of RNAs in cellular organisms

Recent studies have identified numerous RNAs that are functionally both coding and noncoding. However, the sequence characteristics that determine bifunctionality remain largely unknown. In this study, we developed and tested a potentially translated island (PTI) score, defined as the occupancy of the longest open reading frame (ORF) among all putative ORFs. We found that this score correlated with translation, including noncoding RNAs. In bacteria and archaea, coding and noncoding transcripts had narrow distributions of high and low PTI scores, respectively, whereas those of eukaryotes showed relatively broader distributions, with considerable overlap between coding and noncoding transcripts. The extent of overlap positively and negatively correlated with the mutation rates of genomes and effective population sizes of species, respectively. These overlaps were significantly increased in threatened species. In macroevolution, the appearance of the nucleus and multicellularity seem to have influenced the overlap of PTI score distributions, so that the probability of the existence of bifunctional RNAs is increased in eukaryotes. In mammalian testes, we observed an enrichment of noncoding RNAs with high PTI scores, which are candidates for bifunctional RNAs. These results suggest that the decrease in population size and the emergence of testes in eukaryotic multicellular organisms allow for the stable existence of bifunctional RNAs, consequently increasing the probability of the birth of novel coding and non-coding RNAs.

evolutionary biology↗

Disruption of nasal bacteria enhances protective immune responses to influenza A virus and SARS-CoV-2 infection in mice

Gut microbiota plays a critical role in the induction of adaptive immune responses to influenza virus infection. However, the role of nasal bacteria in the induction of the virus-specific adaptive immunity is less clear. Here we demonstrate that while intranasal administration of influenza virus hemagglutinin vaccine alone was insufficient to induce the vaccine-specific antibody responses, disruption of nasal bacteria by lysozyme or addition of culturable oral bacteria from a healthy human volunteer rescued inability of the nasal bacteria to generate antibody responses to intranasally administered the split-virus vaccine. Myd88-depdnent signaling in the hematopoietic compartment was required for adjuvant activity of intranasally administered oral bacteria. In addition, we found that the oral bacteria-combined intranasal vaccine induced protective antibody response to influenza virus and SARS-CoV-2 infection. Our findings here have identified a previously unappreciated role for nasal bacteria in the induction of the virus-specific adaptive immune responses.

microbiology↗

The common chromosomal periodicity of transcriptomes is correlated with the bacterial growth rate

The growth rate, representing the fitness of a bacterial population, is determined by the whole transcriptome. Chromosomal periodicity is a representative overall feature of the whole transcriptome; however, whether and how it is associated with the bacterial growth rate are unknown. To address these questions, we analyzed a total of 213 transcriptomes of genetically differentiated Escherichia coli strains growing in an assortment of culture conditions varying in terms of temperature, nutrition level and osmotic pressure. Intriguingly, the Fourier transform identified a common chromosomal periodicity of transcriptomes, which was independent of the variation in genomes and environments. In addition, fitting of the theoretical model found that the amplitudes of the periodic transcriptomes were significantly correlated with the growth rates. This novel finding successfully identified a single parameter representing the global pattern of the whole transcriptome for the first time and indicated that bacterial growth was correlated with the magnitude of chromosomal differentiation in gene expression. These results provided an alternative global parameter for evaluating the adaptiveness of a growing bacterial population and provided a quantitative rule that makes it possible to predict the growth dynamics according to the gene expression pattern.

genomics↗

Single-cell DNA and RNA sequencing reveals the dynamics of intra-tumor heterogeneity in a colorectal cancer model

Intra-tumor heterogeneity (ITH) encompasses cellular differences in tumors and is related to clinical outcomes, such as drug resistance. However, little is known about the dynamics of ITH, owing to the lack of time-series analysis at the single-cell level. We performed single-cell exome and transcriptome sequencing of 200 cells and investigated how ITH is generated from one single cell in a mouse colorectal cancer model. The ITH of the transcriptome increased after transplantation from cultured organoids, while that of the exome decreased. Mutations generated in the culture did not greatly change at the transplantation at the bulk-cell level. The RNA ITH increase was due to the emergence of new transcriptional subpopulations. In contrast to the initial cells expressing mesenchymal-marker genes, new subpopulations repressed these genes at transplantation. Analyses of colorectal cancer data from The Cancer Genome Atlas revealed a high proportion of metastatic cases in human subjects with expression patterns similar to the new cell subpopulations in mouse. These results suggest that the birth of transcriptional subpopulations may be a key for adaptation to drastic micro-environmental changes when cancer cells have sufficient genetic alterations at later tumor stages. This study revealed an evolutionary dynamics of single-cell RNA and DNA changes in tumor progression, giving insights into the mesenchymal-epithelial transformation of tumor cells at metastasis in colorectal cancer.

genomics↗

Clustering by phenotype and genome-wide association study in autism

BackgroundAutism spectrum disorder (ASD) has phenotypically and genetically heterogeneous characteristics. A simulation study demonstrated that attempts to categorize patients with a complex disease into more homogeneous subgroups could have more power to elucidate hidden heritability. MethodsWe conducted cluster analyses using the k-means algorithm with a cluster number of 15 based on phenotypic variables from the Simons Simplex Collection (SSC). As a preliminary study, we conducted a conventional genome-wide association study (GWAS) with a dataset of 597 ASD cases and 370 controls. In the second step, we divided cases based on the clustering results and conducted GWAS in each of the subgroups vs controls (cluster-based GWAS). We also conducted cluster-based GWAS on another SSC dataset of 712 probands and 354 controls in the replication stage. ResultsIn the preliminary study, we observed no significant associations. In the second step of cluster-based GWASs, we identified 65 chromosomal loci, which included 30 intragenic loci located in 21 genes and 35 intergenic loci that satisfied the threshold of P<5.0x10-8. Some of these loci were located within or near previously reported candidate genes for ASD: CDH5, CNTN5, CNTNAP5, DNAH17, DPP10, DSCAM, FOXK1, GABBR2, GRIN2A5, ITPR1, NTM, SDK1, SNCA and SRRM4. Of these 65 significant chromosomal loci, rs11064685 located within the SRRM4 gene had a significantly different distribution in the cases vs. controls in the replication cohort. ConclusionsThese findings suggest that clustering may successfully identify subgroups with relatively homogeneous disease etiologies. Further cluster validation and replication studies are warranted in larger cohorts.

neuroscience↗

Divergence from conserved residues underlies intracellular retention of mammalian odorant receptors

Mammalian odorant receptors are a diverse and rapidly evolving set of G protein-coupled receptors expressed in olfactory cilia membranes. Most odorant receptors show little to no cell surface expression in non-olfactory cells due to endoplasmic reticulum retention, which has slowed down biochemical studies. Here, we provide evidence that structural instability and divergence from conserved residues of individual odorant receptors underlie intracellular retention using a combination of large-scale screening of odorant receptors cell surface expression in heterologous cells, point mutations, structural modeling, and machine learning techniques. We demonstrate the importance of conserved residues by synthesizing "consensus" odorant receptors that show high levels of cell surface expression similar to conventional G protein-coupled receptors. Furthermore, we associate in silico structural instability with poor cell surface expression using molecular dynamics simulations. We propose an enhanced evolutionary capacitance of olfactory sensory neurons that enable the functional expression of odorant receptors with cryptic mutations. Significance StatementOdor detection in mammals depends on the largest family of G protein-coupled receptors, the odorant receptors, which represent [~]2% of our protein-coding genes. The vast majority of odorant receptors are trapped within the cell when expressed in non-olfactory cells. The underlying causes of why odorant receptors cannot be functionally expressed in non-olfactory cells have remained enigmatic for over 20 years. Our study points to divergence from a consensus sequence as a key factor in a receptors inability to function in non-olfactory cells, which in turn, helps explain odorant receptors exceptional functional diversity and rapid evolution. We also show the success of protein engineering strategies for promoting odorant receptor cell surface expression.

cell biology↗

Management of family relationship informationfor a three-generation cohort study

A system for inputting and storing family information, named \"BirThree Enrollment,\" was developed to promote a birth and three-generation cohort study (BirThree Cohort Study), and this system was operated successfully. In the study, it was necessary to satisfy many operational demands. Input information is overwritten and changed continuously. Complex kinship information must be quickly and accurately input and corrected, and information on those families not yet recruited must be retrieved. For these purposes, many devices are needed, from an input interface to the internal data structure. In the field of genetic statistics, a simple standard expressive form is used for describing family structure. This form has sufficient information for genetics; however, we developed this form further for our purposes in conducting the BirThree Cohort Study. To provide information about family roles as required in the BirThree Cohort Study, we expanded the data structure, and constructed the system that is able to be used for the daily operation. In our system, family pedigree information is stored along with initial clinical information, and enabled the input of all self-reported information to the data base. Operators are able to input this family information before the day is out. As a result, when recruitment is completed, family information will be completed concurrently. Therefore, it is possible to immediately know a certain persons family structure. By using our system, data correction was improved dramatically, and the system was operated successfully. This study is the first report of the method for storing three generations of family data.

epidemiology↗

A novel defective recombinant porcine enterovirus G virus carrying a porcine torovirus papain-like cysteine protease gene and a putative anti-apoptosis gene in place of viral structural protein genes

Enterovirus G (EV-G) belongs to the family of Picornaviridae. Two types of recombinant porcine EV-Gs carrying papain-like cysteine protease (PLCP) gene of porcine torovirus, a virus in Coronaviridae, are reported. Type 1 recombinant EV-Gs are detected in pig feces in Japan, USA, and Belgium and carry the PLPC gene at the junction site of 2C/3A genes, while PLPC gene replaces the viral structural genes in type 2 recombinant EV-G detected in pig feces in a Chinese farm. We identified a novel type 2 recombinant EV-G carrying the PLCP gene with flanking sequences in place of the viral structural genes in pig feces in Japan. The ~0.3 kb-long upstream flanking sequence had no sequence homology with any proteins deposited in GenBank, while the downstream ~0.9 kb-long flanking sequence included a domain having high amino acid sequence homology with a baculoviral inhibitor of apoptosis repeat superfamily. The pig feces, where the novel type 2 recombinant EV-G was detected, also carried type 1 recombinant EV-G. Although the phylogenetic analysis suggested that these two recombinant EV-Gs have independently evolved, type 1 recombinant EV-G might have served as a helper virus by providing viral structural proteins for dissemination of the type 2 recombinant EV-G.

microbiology↗