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Biology subjects

Ota, M.

Publications and source records attributed to Ota, M..

At least 19 recordsLinked to original sources

Neuronal stop-codon readthrough is associated with ribosome pausing and alters protein localization in Drosophila

Stop-codon readthrough (RT) diversifies proteomes and is particularly prominent in neurons, suggesting its importance in nervous systems. However, the regulatory logic that specifies neuronal RT and the structural and cellular consequences of the resulting C-terminal protein extensions remain poorly understood. Here we leverage neuron-specific ribosome profiling datasets in Drosophila to construct an in vivo atlas of 163 neuronal RT transcripts. Sequence- based modeling distinguished RT from non-RT transcripts and highlighted an extended post-stop region enriched for stable predicted RNA structures. Beyond these cis-associated features, ribosome-footprint analysis revealed pronounced stop-codon pausing on RT transcripts, accompanied by upstream periodic peaks from the stop codon consistent with ribosome queuing. At the protein level, neuronal RT appended polypeptides enriched with polar residues and intrinsically disordered regions (IDRs). Finally, an in vivo dual-color reporter showed that RT of the RNA-binding protein Bru3 alters localization from the nucleus to cytoplasmic granules. Together, our results suggest that neuronal RT is associated with structured post-stop RNA regions that reshape termination dynamics and can produce IDR-rich C-terminal protein extensions with distinct subcellular localization.

molecular biology↗

Scalable multimodal mapping of macrophage regulatory architecture by integrating optical and transcriptomic pooled screens

Understanding how genetic perturbations reshape cellular states requires measuring diverse phenotypic modalities at scale. Here, we present PerturbPair, a platform that combines parallel Perturb-Seq and optical pooled screening (OPS) in primary mouse bone marrow-derived macrophages stimulated with lipopolysaccharide. Profiling over 334,000 single-cell transcriptomes across [~]1,000 gene perturbations and 7.8 million imaging-phenotyped cells across [~]3,000 gene perturbations, we reveal high concordance between transcriptomic and optical perturbation signatures. While RNA and imaging phenotypes were broadly concordant, OPS demonstrated superior sensitivity for weak-effect perturbations owing to greater cell throughput, and captured post-transcriptional regulatory events--such as protein trapping and mTOR-dependent phosphorylation--that left no detectable transcriptional footprint. To exploit cross-modal relationships, we developed EB-MoCAVI, an empirical Bayesian variational inference framework that both imputes RNA profiles for perturbations measured only by imaging--effectively tripling our Perturb-Seq dataset in silico--and denoises transcriptomic estimates for perturbations with sparse cell coverage by leveraging matched imaging data as a regularizer. A secondary screen validated the imputed transcriptional profiles and corroborated the cytosolic iron-sulfur assembly pathway as a candidate restraint on macrophage interferon tone. Integrating measured and imputed profiles with rare-variant burden statistics from the UK Biobank identified disease-specific macrophage gene programs and causal regulatory nodes for monocyte counts, type 2 diabetes, and inflammatory bowel disease. PerturbPair establishes a generalizable framework for multimodal perturbation atlases, pointing toward quantitative, causally-informed cross-modal models of cellular behavior.

genomics↗

Circulating miR-1285-3p promotes age-associated B cell differentiation through the OXPHOS-IKZF2 axis in SLE

Age-associated B cells (ABCs) expand in systemic lupus erythematosus (SLE) and contribute to pathogenic humoral immunity, but the mechanisms that restrain their differentiation remain unclear. Here, we identify the transcription factor IKZF2 (Helios) as a regulator that limits ABC differentiation. Transcriptomic and functional analyses showed that suppression of oxidative phosphorylation (OXPHOS) in B cells promoted ABC differentiation and was accompanied by reduced IKZF2 expression. Pharmacologic modulation of mitochondrial metabolism further demonstrated that OXPHOS inhibition promoted, whereas OXPHOS activation restrained, ABC differentiation. Integrative analyses revealed reduced IKZF2 expression in selected B cell subsets from patients with SLE. Functional suppression of IKZF2 enhanced ABC differentiation and attenuated the inhibitory effects of OXPHOS activation, indicating that IKZF2 mediates metabolic control of B cell fate. Mechanistically, IKZF2 restrained early ABC-associated gene programs, including ITGAX and TBX21. Circulating miR-1285-3p in small extracellular vesicles, elevated in SLE, suppressed OXPHOS and recapitulated these effects. Together, these findings identify an OXPHOS-IKZF2 axis that restrains pathogenic B cell differentiation and links extracellular microRNA-mediated metabolic stress to ABC formation in SLE. One-sentence summarySmall EV-associated miR-1285-3p in SLE promotes ABC differentiation by suppressing OXPHOS and relieving IKZF2-mediated restraint.

immunology↗

Binding dynamics shape germinal center broadly neutralizing responses to HIV priming

Inducing broadly neutralizing antibodies (bnAbs) is central to HIV vaccine efforts, but bnAb precursors are rare, often inactive, and require extensive somatic hypermutation (SHM) to recognize diverse, glycan-shielded epitopes. Germline-targeting immunogens (GTs) aim to jump-start this process, but determinants of success remain unclear. Here we establish a bnAb precursor-trackable model that reveals a surprising driver: binding dynamics. Across a series of GTs, multivalent designs that engage B-cells transiently - not tightly - consistently outperformed others, boosting germinal center fitness and unlocking rare or more efficient SHM pathways for breadth. These effects were independent of affinity or precursor frequency. Single-cell transcriptomics uncovered gene programs that predict successful priming. Crucially, this scalable system provides general predictive power for immunogen performance, marking a major advance for not only HIV vaccine development, but also potentially establishing a broadly applicable framework for streamlining pre-clinical pipelines, including immunogenicity and safety evaluation.

immunology↗

A senescent iCAF-like fibroblast state governs therapy resistance in rheumatoid arthritis

ObjectivesRheumatoid arthritis (RA) synovitis frequently persists despite cytokine-targeted therapies, suggesting the existence of pathogenic stromal programs that sustain chronic inflammation independently of canonical immune pathways. Although synovial fibroblasts (SF) are increasingly implicated in treatment resistance, the pathogenic fibroblast states driving refractory disease and their therapeutic vulnerabilities remain poorly defined. MethodsWe integrated multimodal single-cell and spatial profiling of synovial tissue from 54 patients with RA with prospective treatment-response data and functional studies in human fibroblasts and experimental arthritis models. ResultsWe identified a C-X-C motif chemokine 12 (CXCL12)hi Apolipoprotein C1 (APOC1)+ fibroblast population selectively enriched in treatment-refractory synovitis. Spatial analyses demonstrated that these fibroblasts establish CXCL12-dependent plasmablast niches within inflamed synovium, resembling inflammatory cancer-associated fibroblasts (iCAF) that orchestrate immune cell recruitment in the tumor microenvironment. CXCL12hi APOC1+ fibroblasts exhibited a senescence-associated iCAF-like transcriptional program characterized by STAT3-C/EBP activation and APOC1 expression and were associated with poor response to TNF and IL-6 pathway inhibition. Mechanistically, APOC1 knockdown in RA-SF attenuated invasive mesenchymal behavior and disrupted senescence-associated inflammatory programs, identifying APOC1 as a central regulator of pathogenic fibroblast reprogramming. Importantly, genetic or pharmacological elimination of senescent cells ameliorated experimental arthritis and enhanced the efficacy of TNF blockade. ConclusionsThese findings implicate iCAF-like fibroblasts with senescent properties as a mechanistic driver of refractory RA synovitis and highlight stromal senescence programs as preclinically actionable therapeutic targets beyond cytokine inhibition.

immunology↗

Population-scale immunoglobulin genetics resolves the human B-cell system

Immunoglobulins (Ig) mediate adaptive humoral immunity, yet the regulation of B-cell responses in vivo in humans remains inaccessible to direct experimentation. Here we use population-scale Ig genetics to resolve molecular regulation of the human B-cell system. Analysis of circulating IgA, IgG, IgM, and six composite Ig traits in 114,697 individuals identifies 504 genetic associations. Integration with regulatory genomics, plasma proteomics, and immunophenotyping maps these effects across the B-cell hierarchy, recovering known regulators and revealing previously unrecognized genes in humoral immunity. At key control nodes - including Fc{gamma} receptors, the immunoglobulin heavy-chain locus and the TACI-APRIL signaling axis - variants form allelic series generating graded perturbations of antibody output. Ig-associated loci show extensive overlap with autoimmunity, immunodeficiency and B-cell malignancy. These findings demonstrate that Ig traits, analyzed at population scale, encode fine-grained information about the regulation of the human B-cell system and link natural variation in humoral immunity to immune-mediated disease.

genomics↗

Genome-scale perturb-seq in primary human CD4+ T cells maps context-specific regulators of T cell programs and human immune traits

Gene regulatory networks encode the fundamental logic of cellular functions, but systematic network mapping remains challenging, especially in cell states relevant to human biology and disease. Here, we perturbed all expressed genes across 22 million primary human CD4+ T cells from four donors and developed a probe-based perturb-seq platform to measure the transcriptome effects in cells at rest and after stimulation. These data allow us to map genes that regulate known and novel pathways, including novel regulators of cytokine production. Importantly, active regulators and the gene programs they control change dramatically across stimulation conditions. Perturbation signatures enabled us to model T cell states observed in population-scale transcriptomic atlases, nominating regulators of Th1 and Th2 polarization and of age-related T cell phenotypes. Finally, we leveraged perturb-seq to implicate context-specific gene regulatory pathways in autoimmune disease risk. Our data provide a foundational resource to decode human immune function and genetic variation and for new approaches to study gene regulatory networks.

genetics↗

Virus-like particles enable targeted gene engineering and pooled CRISPR screening in primary human myeloid cells

Primary human myeloid cells are promising candidates for immunotherapy, yet efficient and scalable technologies for genetic engineering and screening in these cells are limited. Here we present a virus-like particle (VLP)-based toolkit that delivers diverse CRISPR genome editing modalities to human monocytes, macrophages, and dendritic cells with high efficiency while preserving viability and innate immune responsiveness. VLP-mediated delivery of ribonucleoprotein payloads supports gene knockout, base editing and epigenetic silencing, and enables site-specific integration of large DNA sequences when combined with AAV donors for homology-directed repair. Leveraging sgRNA delivery via VPX-lentivirus combined with Cas9 protein delivery via engineered virus-like particle (eVLP) treatment ("SLICeVLP"), we performed the first pooled loss-of-function screens in human macrophages. We uncovered regulators of TNF production and CD80 expression in human macrophages, converging on TNFAIP3 as a central regulator of inflammatory polarization. TNFAIP3 ablation promoted a pro-inflammatory cell state that is resistant to suppressive polarization, and augmented cytotoxicity of engineered HER2 CAR-macrophages. Taken together, this technology platform enables unbiased discovery and characterization of functional gene targets in primary human myeloid cells.

immunology↗

HIV Env trimers elicit NHP apex cross-neutralizing antibodies mimicking human bNAbs

As a chronically replicating virus, HIV has evolved extreme sequence variability and effective shielding of functionally constrained spike protein determinants by host-derived glycans. Broadly neutralizing antibodies (bNAbs), though rare, can be isolated from people living with HIV, revealing conserved Env sites as key targets for vaccine development. One such target is the apex of the envelope glycoprotein (Env) spike. Here, we identified a vaccination strategy using heterologous HIV Env trimers covalently coupled to liposomes for multivalent display that resulted in the elicitation of cross-neutralizing HIV serum antibody responses in all immunized non-human primates (NHPs). Critically, we isolated a set of monoclonal antibodies (mAbs) that cross-neutralized multiple divergent HIV clinical isolates. High-resolution cryoEM structural analysis of mAbs from three different NHPs demonstrated that they targeted the Env trimer apex in a manner remarkably similar to that of the human infection-elicited, apex-directed bNAb PG9, representing a substantial advance in HIV vaccine development.

immunology↗

The modifiers that cause changes in gene essentiality

The phenotype of a mutation often differs across genetically distinct individuals. In the most extreme case, a gene can be essential for viability in one genetic background, but dispensable in another. Although genetic context-dependency of mutant phenotypes is frequently observed, the underlying causes often remain elusive. Here, we investigated the genetic changes responsible for differences in gene essentiality across 18 genetically diverse natural yeast strains. First, we identified 39 genes that were essential in the laboratory reference strain but not required for viability in at least one other genetic background, suggesting that the natural strain contained suppressor variants that could bypass the need for the essential gene. We then mapped and validated the causal bypass suppressor variants using bulk segregant analysis and allele replacements. Bypass suppression was generally driven by a single modifier gene that tended to differ between genetic backgrounds. The suppressors often indirectly counteracted the effect of deleting the essential gene, for instance by changing the transcriptome of a cell. Context-dependent essential genes and their bypass suppressors were frequently co-mutated across 1,011 yeast isolates and identified naturally occurring evolutionary trajectories. Overall, our results highlight the relatively high frequency of bypass suppression in natural populations, as well as the underlying variants and mechanisms. A thorough understanding of the causes of genetic background effects is crucial for the interpretation of genotype-to-phenotype relationships, including those associated with human disease.

genomics↗

Causal modeling of gene effects from regulators to programs to traits: integration of genetic associations and Perturb-seq

AbstractGenetic association studies provide a unique tool for identifying causal links from genes to human traits and diseases. However, it is challenging to determine the biological mechanisms underlying most associations, and we lack genome-scale approaches for inferring causal mechanistic pathways from genes to cellular functions to traits. Here we propose new approaches to bridge this gap by combining quantitative estimates of gene-trait relationships from loss-of-function burden tests with gene-regulatory connections inferred from Perturb-seq experiments in relevant cell types. By combining these two forms of data, we aim to build causal graphs in which the directional associations of genes with a trait can be explained by their regulatory effects on biological programs or direct effects on the trait. As a proof-of-concept, we constructed a causal graph of the gene regulatory hierarchy that jointly controls three partially co-regulated blood traits. We propose that perturbation studies in trait-relevant cell types, coupled with gene-level effect sizes for traits, can bridge the gap between genetics and biology.

genetics↗

Specificity, length, and luck: How genes are prioritized by rare and common variant association studies

Standard genome-wide association studies (GWAS) and rare variant burden tests are essential tools for identifying trait-relevant genes. Although these methods are conceptually similar, we show by analyzing association studies of 209 quantitative traits in the UK Biobank that they systematically prioritize different genes. This raises the question of how genes should ideally be prioritized. We propose two prioritization criteria: 1) trait importance -- how much a gene quantitatively affects a trait; and 2) trait specificity -- a genes importance for the trait under study relative to its importance across all traits. We find that GWAS prioritize genes near trait-specific variants, while burden tests prioritize trait-specific genes. Because non-coding variants can be context specific, GWAS can prioritize highly pleiotropic genes, while burden tests generally cannot. Both study designs are also affected by distinct trait-irrelevant factors, complicating their interpretation. Our results illustrate that burden tests and GWAS reveal different aspects of trait biology and suggest ways to improve their interpretation and usage.

genomics↗

Longer Internal Exons Tend to Have More Tandem Repeats and Experience Insertions and Deletions More Frequently

Insertions and deletions (indels) in eukaryotic proteins are known to preferentially encode intrinsically disordered regions (IDRs), protein regions that by themselves do not form unique three-dimensional structures. As a previous investigation showed that long internal exons tend to encode IDRs in eukaryotes in general, we thought it worthwhile to analyze how indels alter internal exons and affect IDRs of the encoded proteins. For consideration of evolutionary roles indels play, we decided to select indels commonly observed in all variants ("fixed" indels) since indels in minor variants may represent transient aberrations in splicing. Here, by comparison of orthologous variants of closely related species together with those of outgroups, we identified fixed indels in the internal exons in four mammals and two flies. The fixed indels are nearly always nonframeshifting, short, and mostly encode IDRs. On average 51% of inserted and 40% of deleted residues are attributable to alterations in tandem repeats. Deletion tends to occur more frequently than insertion does and indels are generally more prevalent in long internal exons. Tandem repeats occur preferentially in long internal exons, indicating that their alterations account for the high frequency of indels in long internal exons. Also, since tandem repeats mostly encode IDRs, this finding at least partially explains the high incidence of IDRs in long internal exons. We propose that long internal exons had been produced in early eukaryotes mainly by repeat expansion that added IDRs to the encoded proteins but are experiencing frequent indels by alterations in tandem repeats.

bioinformatics↗

Rapid neutralizing assay for circulating H5N1 influenza virus in dairy cows

A rapid and safe neutralization assay is required for emerging highly pathogenic avian influenza viruses, including the H5N1 subtype, which was recently found in cows. Herein, we report a novel neutralization assay using HiBiT-tagged virus-like particles (hiVLPs). Our hiVLP-based neutralization test demonstrated a higher quantitative value and shorter assay time than conventional methods. We used this assay to evaluate whether the neutralizing antibodies induced by the candidate vaccine virus (NIID-002) were cross-reactive with cow-derived H5N1. Our results suggest that the circulating H5N1 virus in cows shares antigenic characteristics with NIID-002, providing significant implications for the development and preparation of vaccines.

microbiology↗

Downregulations of mRNA expressions in the EPAS1and EGLN1: Unraveling a genetic mechanism for high-altitude hypoxia adaptation in Sherpa highlanders

Sherpa highlanders exhibit unique hypoxia-tolerant traits, likely evolved through natural selection in response to high-altitude conditions. Previous research has implicated EPAS1 and EGLN1 in this adaptation, but their functional mechanisms remain unclear. This study aims to elucidate these mechanisms by exploring mRNA expressions of EPAS1 and EGLN1 in Sherpa highlanders. Field investigations enrolled 54 healthy Sherpa highlanders and 25 non-Sherpa lowlanders in Namche Bazaar (3,440 m) and Kathmandu (1,300 m), respectively. Venous blood was collected for erythropoietin (EPO) measurements, EPAS1 and EGLN1 mRNA expression analyses, and genotyping of single nucleotide polymorphisms (SNPs) rs13419896 and rs4953354 in EPAS1, as well as rs1435166 and rs2153364 SNPs in EGLN1. Comparative analyses were conducted on these elements between highlanders and lowlanders. Despite decreased SpO2 in Sherpa highlanders, EPO concentrations did not elevate at high altitudes. The EPAS1 and EGLN1 mRNA expressions were significantly lower in Sherpa highlanders compared to non-Sherpa lowlanders. Moreover, genotype distributions and allele frequencies of rs13419896 and rs4953354 in EPAS1, as well as rs1435166 and rs2153364 in EGLN1, differed significantly between Sherpa highlanders and non-Sherpa lowlanders. Analyses of the relative mRNA expressions of EPAS1 and EGLN1 by the SNPs suggested that the rs13419896/G and rs4953354/A alleles in EPAS1, as well as the rs1435166/G and rs2153364/A alleles in EGLN1, have down-regulatory effects on the gene mRNA expressions in Sherpa highlanders, contributing to inhibiting the EPO hypoxia response and exhibiting hypoxia-tolerant EPO levels in Sherpa highlanders. Natural selection, driven by high-altitude hypoxia, has encouraged adaptive evolution in Sherpa highlanders, including modifications in EPAS1 and EGLN1 genes. This evolutionary process leads to the downregulation of gene mRNA expressions, effectively tempering EPO responses to hypoxia and thereby enabling adaptation to high-altitude environments.

genetics↗

Gene regulatory network inference from CRISPR perturbations in primary CD4+ T cells elucidates the genomic basis of immune disease

The effects of genetic variation on complex traits act mainly through changes in gene regulation. Although many genetic variants have been linked to target genes in cis, the trans-regulatory cascade mediating their effects remains largely uncharacterized. Mapping trans-regulators based on natural genetic variation, including eQTL mapping, has been challenging due to small effects. Experimental perturbation approaches offer a complementary and powerful approach to mapping trans-regulators. We used CRISPR knockouts of 84 genes in primary CD4+ T cells to perturb an immune cell gene network, targeting both inborn error of immunity (IEI) disease transcription factors (TFs) and background TFs matched in constraint and expression level, but without a known immune disease association. We developed a novel Bayesian structure learning method called Linear Latent Causal Bayes (LLCB) to estimate the gene regulatory network from perturbation data and observed 211 directed edges among the genes which could not be detected in existing CD4+ trans-eQTL data. We used LLCB to characterize the differences between the IEI and background TFs, finding that the gene groups were highly interconnected, but that IEI TFs were much more likely to regulate immune cell specific pathways and immune GWAS genes. We further characterized nine coherent gene programs based on downstream effects of the TFs and linked these modules to regulation of GWAS genes, finding that canonical JAK-STAT family members are regulated by KMT2A, a global epigenetic regulator. These analyses reveal the trans-regulatory cascade from upstream epigenetic regulator to intermediate TFs to downstream effector cytokines and elucidate the logic linking immune GWAS genes to key signaling pathways.

genomics↗

Dual-wield NTPase: a novel protein family mined from AlphaFold DB

AlphaFold protein structure database (AlphaFold DB) archives a vast number of predicted models. We conducted systematic data mining against AlphaFold DB and discovered an uncharacterized P-loop NTPase family. The structure of the protein family was surprisingly novel, showing an atypical topology for P-loop NTPases, noticeable two-fold symmetry and two pairs of independent putative active sites. Our findings show that structural data mining is a powerful approach to identifying undiscovered protein families.

bioinformatics↗

The memory of pathogenic IgE is contained within CD23+IgG1+ memory B cells poised to switch to IgE in food allergy

Food allergy is caused by allergen-specific IgE antibodies but little is known about the B cell memory of persistent IgE responses. Here we describe in human pediatric peanut allergy CD23+IgG1+ memory B cells arising in type 2 responses that contain peanut specific clones and generate IgE cells on activation. These type2-marked IgG1+ memory B cells differentially express IL-4/IL-13 regulated genes FCER2/CD23, IL4R, and germline IGHE and carry highly mutated B cell receptors (BCRs). Further, high affinity memory B cells specific for the main peanut allergen Ara h 2 mapped to the population of type2-marked IgG1+ memory B cells and included convergent BCRs across different individuals. Our findings indicate that CD23+IgG1+ memory B cells transcribing germline IGHE are a unique memory population containing precursors of pathogenic IgE. One-Sentence SummaryWe describe a unique population of IgG+ memory B cells poised to switch to IgE that contains high affinity allergen-specific clones in peanut allergy.

immunology↗