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Aoki, K.

Publications and source records attributed to Aoki, K..

At least 19 recordsLinked to original sources

Climate change, infectious disease, and the spread of microblades across the Qinling-Huaihe line

Aoki et al. (2023) proposed that the sharp difference in microblade distribution between the north and south of the Qinling-Huaihe (H-Q) line before the early Holocene could have been due to a higher frequency of pathogens in the south. Greater susceptibility to pathogen-induced disease among northerners could have effectively prevented migration across the H-Q line. Here, we explore the possibility that migration between the north and south could have been stalled by a vector-borne disease whose vector distribution was climate dependent. The original wave equation approach is extended to include climate variation in the forms of (i) a period of linear warming; (ii) a period of linear cooling; and (iii) a period of temperature oscillations. Simulations of this extended model are carried out using published estimates of the climate record for the Northern Hemisphere since the Upper Paleolithic. This analysis suggests possible time intervals during which microblades could have reached the south.

evolutionary biology↗

Two closely related β-1,2-xylosyltransferases differentially impact fungal glycan synthesis

Cryptococcus neoformans is an opportunistic fungal pathogen that causes pulmonary infection in immunocompromised patients, which in severe cases leads to fatal meningoencephalitis. Cryptococcus exhibits unique glycobiology that plays important roles in pathogenesis. Unlike model yeast and other common fungal pathogens, Cryptococcus incorporates xylose, a five-carbon monosaccharide, into its glycans. One trimer motif, which consists of xylose in {beta}-1,2 linkage to the reducing mannose of an -1,3-mannose dimer, occurs in key cryptococcal glycoconjugates that include protein N- and O-linked glycans, glycosylinositol phosphorylceramides (GIPCs), and the capsule polysaccharides glucuronoxylomannan (GXM) and glucuronoxylomannogalactan (GXMGal). We previously identified cryptococcal {beta}-1,2-xylosyltransferase 1 (Cxt1), which catalyzes formation of this motif in GIPCs, GXM, and GXMGal. Here, we report the discovery of a second enzyme, cryptococcal {beta}-1,2-xylosyltransferase 2 (Cxt2). Through characterization of cells that lack one or both corresponding genes (CXT1 and CXT2), we have dissected the biological roles of these enzymes, which are overlapping but not identical. Notably, Cxt1 and Cxt2 colocalize in the Golgi, influence capsule in a strain-dependent manner, and together are responsible for all xylose addition to O-glycans. Overall, our work highlights unique roles of these two enzymes and fills a gap in understanding of cryptococcal glycan synthesis. IMPORTANCECryptococcus neoformans is an opportunistic fungal pathogen that causes almost 150,000 deaths each year worldwide. Cryptococcus synthesizes unique glycan structures that play important roles in its biology and pathogenesis. One abundant component of these structures is xylose, a five-carbon monosaccharide. Because xylose is not used by many fungal organisms, including model yeast, we have limited information about how cells add it to their glycans. Here we report a xylosyltransferase enzyme that performs this function, and we characterize specific biological roles of this protein and a closely related one we discovered earlier. We find that these proteins together perform all detectable xylose addition to an important class of protein-linked glycans (O-glycans). They also both participate in other synthetic processes, although this varies with the specific enzyme and strain background. These results contribute to our understanding of cryptococcal glycan synthesis and underscore the importance of testing multiple background strains.

microbiology↗

Opto-MDMi: a dual-lock optogenetic system for robust activation of endogenous p53

Optogenetics has emerged as a powerful technology for manipulating biological functions with high spatiotemporal resolution, yet the precise control of endogenous molecules remains a significant challenge. In this study, we developed Opto-MDMi, a dual-lock optogenetic platform designed to control the activity of endogenous p53, a master regulator of cell cycle and apoptosis. The p53 pathway is strictly governed by its negative regulators, MDM2 and MDMX, which inhibit p53 through direct binding and ubiquitination. Our system integrates two distinct light-responsive modules: Opto-MDMi (LOVTRAP), which regulates the nuclear translocation of p53-activating peptides, and Opto-MDMi (LOV2-PMI), which controls the binding activity of these peptides by photocaging them within the AsLOV2 domain. Through extensive in vitro screening and live-cell assays, we discovered that truncating the J helix of LOV2 effectively restricts the movement of fused inhibitory peptides, thereby masking their interaction with MDM2/MDMX under dark conditions. By combining these two regulatory layers into a dual-lock system, we achieved robust light-dependent activation of endogenous p53 while significantly suppressing basal activity in the dark. Our findings not only provide a potent tool for p53 research but also establish a general design principle for optogenetically regulating functional peptides with the LOV2 domain, offering a versatile framework for the future development of optogenetic actuators.

systems biology↗

Regulation of cell proliferation by a novel feedback system on Cdk function

The proliferation of eukaryotic cells is regulated by a complex network of regulatory systems that promotes efficient cell cycle progression and ensures proper responses to the environment. Despite this complexity, the core inputs that are necessary and sufficient for robust alternation of DNA replication and mitosis are surprisingly simpler than anticipated. Indeed, fission yeast cells operating with an engineered minimal cell cycle network that lacks the highly conserved Wee1+Cdc25 feedback loops on Cdk1 function are viable, although slow growing. This provides a unique entry for evaluating how such simplified cells can evolve and improve their proliferation potential while exploring unknown mechanisms modulating cell cycle progression. Taking advantage of this model, we applied laboratory evolution assays to minimal fission yeast backgrounds and selected for the emergence of faster growing populations. We found that loss of the small disordered protein Spo12 brings about enhanced population growth in cells lacking the Wee1+Cdc25 mitotic switch. Importantly, we demonstrate that Spo12 defines a new and conserved family of inhibitors of the Cdk-counteracting phosphatase PP2A that are directly regulated by Cdk-dependent phosphorylation. Our results also reveal a trade-off associated with Spo12-dependent regulation, which may have implications for our understanding of the principles underlying the evolution of cell cycle control. Finally, our study highlights how combining simplified circuits with experimental evolution allows for uncovering regulatory elements that may be obscured by network complexity.

cell biology↗

Inverse modeling unveils governing law of mechano-chemical dynamics of epithelial migration

Collective cell migration is fundamental to tissue homeostasis and underlies biological processes such as wound healing and cancer invasion. Previous work has proposed governing equations to describe how chemical and mechanical inputs regulate these movements, but the quantitative validity of such models remains to be thoroughly assessed. Here, we developed a machine-learning framework that infers the governing equation from live-cell imaging data. Applied to epithelial sheet migration driven by MAPK/ERK, our approach quantitatively predicted single-cell movement from local chemical and mechanical cues. Examination of the learned equations further indicated that cells process environmental signals by computing their spatiotemporal derivatives. Moreover, when applied to individual cells, our framework revealed cell-cell heterogeneity in the underlying migratory rules. Our framework offers a powerful tool for predictive modeling of multicellular dynamics in both physiological and pathological settings.

systems biology↗

Parasitism-mediated horizontal transfer of a functional cytochrome P450 gene entails transposon colonization in newly gained introns

Plants produce a wide variety of specialized metabolites that are typically present only in specific lineages. However, some specialized metabolites are found sporadically across distantly related plant species. While the latter cases have been explained as outcomes of convergent evolution, the molecular mechanism behind such metabolic evolution has remained largely elusive. Here, we report that parasitic dodders belonging to the genus Cuscuta accumulate sesamin, and that this accumulation may be attributed to the acquisition of enzymatically active homologs of Sesamum indicum CYP81Q1, which encodes piperitol/sesamin synthase (PSS). Phylogenetic analysis of CYP81Q homologs in Cuscuta and Grammica subgenera supports a trajectory in which ancestral Cuscuta species acquired CYP81Q from an ancestral host plant of Lamiales through horizontal gene transfer (HGT), and that the gene has been maintained during the speciation of Cuscuta. The evolution of the CYP81Q genes was accompanied by sequential intron gains, which likely involved the colonization of transposons. Experiments involving C. campestris and S. indicum suggested that expression of the host CYP81Q gene could be induced by parasitism, and physical connection to the host plant allowed the transfer of genetic elements to Cuscuta. These data suggest that parasitism-mediated HGT contributed to the transfer of a gene encoding a key enzyme in specialized lignan metabolism to Cuscuta, and that the acquired metabolic gene underwent structural modification while retaining its enzymatic function in dodders.

plant biology↗

Intensity Modulation of Trichromatic Split Fluorescent Proteins for Live Cell Mapping

Multiplexed live cell-labeling technologies are essential tools for investigating complex biological systems, yet existing approaches face limitations in achieving reliable discrimination of multiple cell populations. Here, we present color and intensity modulation with split fluorescent proteins for cell labeling (Caterpie), a live cell labeling system that enables high-fidelity identification of multiple cell populations through rational design of split fluorescent proteins. Drawing inspiration from human trichromatic vision, we engineered optimized split fluorescent protein variants--split CFP2, split mNG3A, and split sfCherry3C--and developed a comprehensive library of the 11th {beta}-strand (FP11) tags comprising variable numbers of tandem repeats. Structure-guided protein engineering enhanced the performance of split mNG3A and split sfCherry3C through targeted modifications of their C-terminal sequences and binding interfaces, respectively. By systematically varying the composition and arrangement of FP11 repeats, we selected 20 distinct FP11 tags that enable robust cell population discrimination with 97% accuracy using conventional fluorescence microscopy. In these FP11 tag-expressing cells, we expressed multiple EGF ligands and their receptors and cultured them in bulk to examine the effects of EGF signaling on chemotaxis within the cell population. The results showed that chemotaxis changes according to the intensity of EGFR signaling. The Caterpie system holds significant potential for applications requiring precise identification and tracking of multiple cell populations in complex biological systems.

cell biology↗

Opto-p53: A Light-Controllable p53 Signaling for Regulating p53-Dependent Cell Fate.

p53 protein, a crucial transcription factor in cellular responses to a wide variety of stress, regulates multiple target genes involved in tumor suppression, senescence induction, and metabolic functions. However, it remains unclear how diverse cellular phenotypes are modulated by p53. In this study, we developed an optogenetic tool, Opto-p53, to control p53 signaling by light. Opto-p53 was designed to trigger p53 signaling by reconstituting p53 N-terminal and C-terminal fragments with a light-inducible dimerization (LID) system. Upon light exposure, cells expressing Opto-p53 demonstrated p53 transcriptional activation, resulting in cell death and cell cycle arrest. We further enhanced the efficacy of light-induced p53 activation by introducing specific mutations into Opto-p53 fragments. Our findings unveil the capability of Opto-p53 to serve as a powerful tool for dissecting the complex roles of p53 in cellular processes, thereby contributing to the field of synthetic biology and providing general design principles for optogenetic tools using endogenous transcription factors.

synthetic biology↗

Inverse signal importance in real exposome: How do biological systems dynamically prioritize multiple environmental signals?

Living organisms integrate multiple signals from their exposome, the totality of environmental influences experienced throughout life, to adapt to complex, non-stationary environments. While organisms are thought to flexibly prioritize relevant signals depending on context, its regulatory mechanisms remain largely unknown. Laboratory studies with precisely controlled conditions fail to capture this adaptability by isolating organisms from the complex exposome. Here, we developed a machine learning framework, Inverse Signal Importance (ISI), to infer how organisms prioritize external signals from time-series data of environmental factors and physiological responses. We applied ISI to analyze gonadal development in medaka fish under natural outdoor conditions, tracking gonadosomatic index alongside environmental signals including water temperature, day length, and solar radiation over two years. Our analysis revealed that signal importance levels exhibit complex dynamics distinct from simple environmental periodicity and correlates significantly with specific gene expression patterns. Notably, genes associated with temperature-related signal importance display differential expression between outdoor and controlled laboratory conditions, suggesting their role in environmental adaptation. These findings indicate that ISI effectively captures latent physiological dynamics in adaptation of exposome. By decomposing biological responses into deterministic and adaptive components, ISI provides a novel approach to uncover mechanisms of organismal adaptation in natural environments.

bioinformatics↗

Network topology creates independent control of G2-M from G1-S checkpoints in the fission yeast cell cycle system

Physiological functions of cells arise from the dynamics of chemical reaction networks. The cell cycle of fission yeast is controlled by dynamical changes in two cyclin-dependent kinase (CDK)-cyclin complexes based on a complicated reaction network consisting of protein synthesis, complex formation, and degradation1,2. Each of the two checkpoints, G1-S and G2-M, is driven by an increase in the concentration of CDK-Cig2 and CDK-Cdc13, respectively. However, it is not understood how these complexes in the single connected network are controlled independently in a stage-specific manner. Here we theoretically predict that independent control of CDK-Cdc13 from CDK-Cig2 is achieved by the topology of the cell cycle network, and experimentally validate this prediction, while updating the network information by comparing predictions and experiments. We analyzed a known cell cycle network using a topology-based theory3-6 and revealed that the two CDK-cyclin complexes are included in different "regulatory modules", suggesting that the concentration of each CDK-cyclin complex is controlled independently from the other. Experimental validation confirmed that the concentration of CDK-Cdc13 is controlled by the Cdc13 synthesis rate, independently from CDK-Cig2, as predicted. Conversely, the Cig2 synthesis rate affected not only CDK-Cig2 but also CDK-Cdc13. The fact, however, indicates the necessity of updating the network. We theoretically predicted the existence of an unknown necessary reaction, a Cdc13 degradation pathway, and experimentally confirmed it. The prediction and validation approach using the topology-based theory proposes a new systems biology, which progresses by comparing network structures with manipulation experiments and updating network information.

systems biology↗

Cellular Responses to Photothermal Therapy: Heat-Induced ERK Signaling and Intercellular Communication in Solid Tumors

Nanoparticle-mediated photothermal therapy (PTT) shows promise as a standalone cancer treatment but faces clinical challenges due to inconsistent efficacy. Its translation is further hindered by a limited understanding of plasmon-induced heat effects, such as stress responses and intercellular signaling. Here, we investigate how plasmon-induced local heating affects cellular behavior and fate within tumor spheroids by focusing on the activity of the extracellular signal-regulated kinase (ERK). Spheroids were prepared from HeLa cells that express a FRET-based ERK sensor, and ERK activity changes under photothermal stimuli were tracked using a deep-learning program, 3DeeCellTracker. Gold nanostars were used as highly efficient photothermal transducers. Our results revealed significant alterations in ERK signaling patterns upon photothermal stimulation compared to spontaneous ERK activity in untreated spheroids, including changes in the activation frequency, timing, and duration. Notably, photothermal-induced ERK activity propagated across neighboring cells within the spheroid, suggesting intercellular communication. Furthermore, analysis of cell death and division further demonstrated that laser power modulates cellular fate during photothermal therapy. This study provides insights for predicting the therapeutic effects of PPT and guides the rational design of next-generation photothermal strategies. Additionally, our approach demonstrates the potential of FRET-based biosensors and deep-learning tools as powerful methods to study the effects of various therapeutic stimuli on solid tumors at the single-cell level.

cancer biology↗

Differential O-Glc elongation on the specific EGF repeat within a ligand binding domain regulates NOTCH1 signaling

Three types of O-linked glycosylation - O-glucose, O-fucose, and O-N-acetylglucosamine - are crucial for the function of Notch receptors, which regulates critical cell fate determination processes in a wide variety of contexts. O-Glucose glycans are added to serine residues located between the first and second conserved cysteines within the epidermal growth factor (EGF) -like repeats in the Notch extracellular domain. Previously, O-glucose glycans were shown to be extended to a trisaccharide structure with two xyloses via an 1-3 linkage. Our recent studies, however, indicated that the O-glucose glycan on NOTCH1 EGF10 can be extended by hexose and Neu5Ac. Here, we demonstrated that this hexose- and Neu5Ac-extended glycan has a 3-sialyllactose-like structure synthesized by specific members of two isoenzyme families, B4GALT1 and ST3GAL4. Using mass spectrometry, we identified this modification exclusively on NOTCH1 EGF10 and NOTCH3 EGF9 (equivalent to NOTCH1 EGF10), with no detection in any other EGF domains in NOTCH1-3. Sequence comparison and mutagenesis experiments identified one amino acid at position -2 of the fourth cysteine in the EGF domain as crucial for the galactose elongation of O-glucose glycans. We further demonstrated that this site-specific elongation of O-glucose on NOTCH1 EGF10 significantly impact ligand binding and signal transduction of NOTCH1. Our findings contribute to the understanding of the intricate regulatory mechanisms of Notch receptor function mediated by distinct positions and structures of O-glycans. Significance StatementNotch, a signaling receptor critical for development, differentiation, and homeostasis in multicellular organisms, undergoes multiple post-translational glycan modifications to regulate its function. While O-glucose glycan elongation by xylose was previously known, we identified an O-glucose glycan extended by galactose and Neu5Ac on specific epidermal growth factor (EGF) -like repeats of certain Notch paralogs, NOTCH1 and NOTCH3. As far as we know, this structure has not been reported on any other proteins. We identify the enzymes involved in the biosynthesis of this glycan and demonstrate that modifications at a specific site on Notch direct receptor functions, including ligand binding and Notch signaling.

biochemistry↗

Allometric studies on human- and pig-sized Delphinidae to understand resting metabolic rates with respiratory measurements

Exponential relationships between basal metabolic rate (BMR) and body mass are known in both terrestrial and marine mammals, with elevated BMR in the latter. However, it remains unclear whether the exponential relationship in marine mammals is different from that in terrestrial mammals. Metabolic rates of animals while resting at the water surface (resting metabolic rates: RMRs) were measured by breath-by-breath respirometry in two species of Delphinidae from temperate regions to elucidate the relationship between RMR and body mass in pantropical spotted dolphins (Stenella attenuate) and Rissos dolphins (Grampus griseus) with body masses ranging from 71 to 386 kg. The RMRs of rough-toothed dolphins (83-123 kg), common bottlenose dolphins (143-220 kg), and killer whales (3,364-5,318 kg) were obtained from the literature for allometric analyses. Measured RMRs were 344 {+/-} 39 and 1398 {+/-} 160 ml O2 min-1, respectively, which were 1.2-2.1 times higher than those predicted for similar-sized terrestrial mammals. A linear mixed-effects model showed the allometric mass exponent of 0.65 (95% CI: 0.54-0.76), which was closer to the 2/3-power of body mass than that of the widely observed 3/4-power commonly reported across a broad range of taxa. The new scaling relationship observed in the Delphinidae indicates that larger dolphins require less energy in aquatic environments, which is consistent with the theory of heat loss associated with a narrower surface area relative to larger volumes. This study suggested a different scaling relationship between aquatic and terrestrial mammals.

zoology↗

Quantification of Cyclin-CDK dissociation constants in living cells using fluorescence cross-correlation spectroscopy with green and near-infrared fluorescent proteins.

The cell cycle is a highly coordinated process governed by cyclin-bound cyclin-dependent kinases (CDKs). While the interaction between cyclin and CDK are well-documented, the dissociation constants (Kd) between specific cyclin-CDK pairs within living cells remain poorly understood. Fluorescence cross-correlation spectroscopy (FCCS) enables the quantification of the Kd, but challenges remain in selecting an optimal pair of fluorescent molecules for FCCS in a living cell. In this study, we demonstrate that mNeonGreen and phycocyanobilin-bound miRFP670 represent a suitable pair for FCCS in living cells from the viewpoint of high photostability and low bleed-through. This fluorescent protein pair enables us to measure the Kd values of the cyclin-dependent kinase Cdc2 and B-type cyclin Cdc13 in fission yeast cells. Moreover, we conducted a comprehensive analysis of the Kd values for 36 cyclin-CDK complexes, formed by 9 distinct cyclins and 4 CDKs, in mammalian cells, including unconventional cyclin-CDK pairs. These findings provide insights into the redundancy of cyclin-CDK binding in cell cycle progression, with potential implications for understanding cell cycle regulation in both fission yeast and higher eukaryotes.

cell biology↗

Self-organization of spermatogenic wave coordinates sustained sperm production in the mouse testis

Spermatogenesis takes place in the testis, relying on the ordered turnover of differentiating cells supplied from stem cells. Classic histological analyses have revealed that this process shows hierarchical spatiotemporal patterning known as the spermatogenic cycle, wave, and descent of segmental order, indicative of currently underexplored mechanisms of tissue- and organ-scale homeostasis. Here, using mice, we conducted high-resolution, wide-field, and ultra long-term live imaging studies in vivo and ex vivo, combined with whole-organ mapping of differentiation stages. Such trans-scale measures demonstrate how stereotypic local cell turnover is coordinated into characteristic phase waves propagating along the seminiferous tubules, further organized into organ-scale patterning over the tubule loops. Minimal mathematical modeling shows that such higher-order dynamics can emerge from the local coupling of autonomous oscillators, which are rooted in delayed feedback interplay between stem and differentiating cells via retinoic acid signaling. These findings highlight a self-organization mechanism underpinning organ-scale homeostasis and constant sperm production.

developmental biology↗

ZO-1 shuttles between tight junctions and podosomes by riding ERK activation waves during collective cell migration

Collective cell migration is essential in various physiological processes, including embryonic development, wound healing, and cancer metastasis. However, the mechanisms by which individual cells achieve coordinated movement remain elusive. Here, we demonstrate that zonula occludens-1 (ZO-1), a scaffolding protein of tight junctions (TJs), dynamically translocates to form cell-to- extracellular matrix (ECM) adhesion complexes, podosomes, at the basal cell surface during migration. The translocation of ZO-1 is regulated by extracellular signal-regulated kinase (ERK) activity and its interaction with F-actin. ZO-1 at podosomes contributes to traction force generation and cell invasion, while ZO-1 at TJs mediates intercellular propagation of ERK activation, facilitating collective cell migration. These findings elucidate the versatile roles of ZO-1 in cell adhesion and movement, providing insights into the mechanisms coordinating the discrete movements of individual cells into a cohesive and directed collective cell migration.

cell biology↗

ErbB2/HER2 expression level determines CDK4-inhibitor sensitivity and cyclin D1 and c-Myc dependency at the G1/S transition

Cell cycle entry and the irreversible transition from the G1 to S phase are crucial for mammalian cell proliferation. Among the ErbB family, the ErbB2/HER2 receptor is a key driver of cancer growth. However, the quantitative mechanisms underlying the ErbB2-mediated G1/S transition remain unclarified. Here, we performed an extensive time-course analysis of high and low ErbB2-expressing breast cancer cells to describe the regulatory mechanisms of the ErbB2-mediated G1/S transition. Live-cell imaging using cell cycle reporters revealed that the G1/S transition occurs 20 h after ErbB2 activation, driven primarily by the cyclin D1/CDK4-RB axis. Hsp90 is regulated by CDK4 activity and controls the stability of ErbB2 protein in a time-dependent manner. CDK4 inhibitor treatment arrested the cell cycle in most cells; a subpopulation showed a 25-h delay in G1/S entry associated with enhanced c-Myc activation. In high ErbB2-expressing cells, CDK4 inhibition led to c-Myc overactivation, a rapid decrease in cyclin D1 expression, and cell cycle arrest. Overall, we demonstrate how ErbB2 receptor levels modulate the roles of cyclin D1 and c-Myc in the G1/S transition and suggest that variations in ErbB2 levels within breast cancer tissues confer heterogeneous sensitivity to CDK4 inhibitors, potentially complicating treatment.

cancer biology↗

Rapid and reversible dissolution of biomolecular condensates using light-controlled recruitment of a solubility tag

Biomolecular condensates are broadly implicated in both normal cellular regulation and disease. Consequently, several chemical biology and optogenetic approaches have been developed to induce phase separation of a protein of interest. However, few tools are available to perform the converse function--dissolving a condensate of interest on demand. Such a tool would aid in testing whether the condensate plays specific functional roles, a major question in cell biology and drug development. Here we report an optogenetic approach to selectively dissolve a condensate of interest in a reversible and spatially controlled manner. We show that light-gated recruitment of maltose-binding protein (MBP), a commonly used solubilizing domain in protein purification, results in rapid and controlled dissolution of condensates formed from proteins of interest. Our optogenetic MBP-based dissolution strategy (OptoMBP) is rapid, reversible, and can be spatially controlled with subcellular precision. We also provide a proof-of-principle application of OptoMBP, showing that disrupting condensation of the oncogenic fusion protein FUS-CHOP results in reversion of FUS-CHOP driven transcriptional changes. We envision that the OptoMBP system could be broadly useful for disrupting constitutive protein condensates to probe their biological functions.

bioengineering↗