Biology subjects

Teramoto, T.

Publications and source records attributed to Teramoto, T..

13 recordsLinked to original sources

bioRxiv2026

Hydration Energetics Shape Antibody Discrimination between Sulfotyrosine and Phosphotyrosine

Chemically similar post-translational modifications can mediate distinct biological functions, but how proteins distinguish between them remains unclear. Sulfotyrosine (sTyr) and phosphotyrosine (pTyr) exemplify this problem because they have similar sizes, local geometries, and electrostatic properties but function in different biological contexts. Here, we used the monoclonal antibody PSG2, which recognizes sTyr independently of the surrounding peptide sequence, to examine how a protein distinguishes these modifications. The crystal structure of PSG2 bound to an sTyr-containing peptide revealed a deep electropositive pocket with no modeled water molecules in direct contact with the sulfate group. Gas-phase density functional theory calculations favored pTyr over sTyr, showing that direct protein-ligand interactions alone are insufficient to explain PSG2 selectivity. Explicit first-shell hydration calculations showed that pTyr has a larger desolvation penalty than sTyr, and accounting for this difference reversed the calculated energetic order. Isothermal titration calorimetry showed favorable enthalpic and entropic contributions to sTyr binding, whereas no detectable heat signal was observed for pTyr. These results show that PSG2 distinguishes sTyr from pTyr through the balance between direct protein-ligand interactions and ligand desolvation.

biophysics↗

bioRxiv2025

Bleb-based extravasation: conserved morphodynamics, divergent calcium control

Extravasation, the exit of cells from blood vessels, is essential in both development and disease, from germ cell migration to cancer metastasis. We show that all extravasating cells examined, avian primordial germ cells and diverse human cancer lines, form Ca{superscript 2}-dependent membrane blebs during transendothelial migration. Yet the source of Ca{superscript 2} diverges by lineage. PGCs and HT-1080 fibrosarcoma cells rely on store-operated Ca{superscript 2} entry (SOCE), whereas epithelial cancer cells such as PC-3 and MDA-MB-231 use IPR-mediated Ca{superscript 2} release from the endoplasmic reticulum. These findings establish bleb-based extravasation as a conserved morphodynamic strategy powered by distinct regulatory modules. Evolutionarily, they map onto an ancestral ER-release pathway and a metazoan-derived SOCE pathway. Conceptually, cancer blebbing emerges as a composite strategy that reactivates both ancient survival programs and developmental toolkits to maximize invasive success. This unified framework highlights Ca{superscript 2} supply as a critical bottleneck of vascular escape, offering new angles for targeting metastatic dissemination.

cell biology↗

bioRxiv2025

Oxidant-mediated amino acid conversion of angiotensin II: Effects on gene expression in vascular smooth muscle cells.

Angiotensin II (Ang II) is a major mediator of pathophysiological processes. Angiotensin-converting enzyme 2 (ACE2) regulates Ang II levels by cleaving it into Ang 1-7. Our previous study showed that arginine at the second position (Arg2) of Ang II plays an important role in regulating ACE2 peptidase activity. The present study examined the mechanisms and functions of Arg2 in Ang II. Cleavage of Arg2 from Ang II, or single amino acid replacement of a positively charged Arg with other amino acids, particularly negatively charged amino acids such as glutamic acid (Glu), eliminated Ang IIs ability to compete with the fluorogenic substrate used in the ACE2 activity assay. Arg2-to-Glu substitution also affected the ability of angiotensin I and angiotensin III to interact with ACE2. These results confirmed the important roles of Arg2 in the ACE2 enzymatic mechanism. Since Arg and proline (Pro) residues are susceptible to protein carbonylation, and both residues produce glutamic semialdehyde, which can be further oxidized to Glu, we previously proposed that Arg, Pro, and Glu could be interchangeable, and that ROS promote amino acid conversions within protein structures post-translationally in biological systems. Thus, Arg2 of Ang II could undergo oxidant-mediated amino acid residue conversion to become Glu or Pro. The presence of both circulating Ang II (Arg2Glu) and Ang II (Arg2Pro) in rats were confirmed by mass spectrometry. Global gene expression analyses revealed that Arg2Glu- and Arg2Pro-converted Ang II peptides elicit different cellular signaling responses compared with wild-type Ang II, suggesting that Arg2-modifed Ang II peptides exhibit distinct biological functions.

biochemistry↗

bioRxiv2025

Formation of a μ-oxo nucleophile enables efficient hydrolysis by a trinuclear metal center in Family II inorganic pyrophosphatase

Efficient catalysis by metalloproteins relies on precise spatial arrangement of metal ions and active-site residues. Family II inorganic pyrophosphatase (PPase) from Shewanella species features a trinuclear metal center and displays higher catalytic activity than binuclear counterparts. Here we elucidate its hydrolytic mechanism using X-ray crystal structure-based extended X-ray absorption fine structure (XCS-EXAFS), site-directed mutagenesis, and density functional theory (DFT) calculations. We identify a catalytic -oxo nucleophile, formed via proton transfer from a bridging -hydroxide to Asp14 and subsequent hydrogen-bond rearrangement to Asp72, as the key species in SN2-type hydrolysis. This conversion defines the rate-limiting step with an activation barrier of 15.5 kcal/mol. Molecular orbital analysis reveals that the trinuclear cluster promotes -oxo formation, aligns the nucleophile for attack, and stabilizes the transition state. The side-chain rotation of the conserved Asp14 is crucial for catalysis. Our results highlight how metalloenzymes exploit geometric and electronic tuning to achieve high reactivity through evolutionarily optimized architectures.

biophysics↗

bioRxiv2025

Crystal structure of a thermophilic family II inorganic pyrophosphatase enabling high-temperature adaptation in Thermodesulfobacterium commune

Inorganic pyrophosphatases (PPases) are crucial for energy metabolism and classified into families with distinct metal ion requirements and structural features. This study is the first to successfully express, purify, and structurally characterize a thermophilic family II PPase isolated from Thermodesulfobacterium commune (TcPPase). TcPPase, which is optimally activated by Co2+ and Mn2+, required both the N- and C-terminal domains for complete catalytic function. Comparative structural analyses of psychrophilic and mesophilic homologs revealed that the enhanced thermal stability of TcPPase was due to its strong hydrophobic interactions, high proline content, dense hydrogen bond network, and additional salt bridges. These findings reveal the molecular basis for the thermal adaptation of family II PPases, providing valuable insights for thermostable enzyme engineering for biotechnological applications.

biochemistry↗

bioRxiv2024

Engineering rice Nramp5 modifies cadmium and manganese uptake selectivity using yeast assay system

Cd is a seriously hazardous heavy metal for both plants and humans and international regulations regarding Cd intake have become stricter in recent years. Three-quarters of the Cd intake comes from plant-based foods, half of which comes from cereals. Therefore, it is anticipated that the Cd uptake efficiency of cereals, including rice, a staple crop in Asia, will be reduced. Natural resistance-associated macrophage protein (Nramp) is the principal transporter involved in the uptake and translocation of metal ions in various plants. In rice, OsNramp5 is a transporter of Mn, which is an essential micronutrient for plant growth, and is responsible for Cd uptake. Although several attempts have been made to engineer the metal uptake characteristics of OsNramp5, in many cases, both Cd and Mn uptake efficiencies are impaired. Therefore, in this study, we engineered OsNramp5 to reduce Cd uptake while retaining Mn uptake efficiency for low-Cd rice production. OsNramp5 was engineered using amino acid substitution(s) at the 232nd Ala and 235th Met of OsNramp5, which have been suggested to be key residues for metal uptake efficiency and/or selectivity by structural analyses of bacterial Nramps. The metal uptake efficiency was first analyzed using a yeast model assay system. Several mutants showed less than 8.6% Cd and more than 64.1% Mn uptake efficiency compared to the original OsNramp5. The improved metal uptake characteristics were confirmed by direct measurement of the metal content in the yeast using inductively coupled plasma optical emission spectroscopy. Notably, several mutants reduced Cd uptake efficiency to the background level while retaining more than 64.7% Mn uptake efficiency under conditions mimicking heavily polluted soils in the world. In addition, computational structural modeling suggested requirements for the spatial and chemical properties of the metal transport tunnel and metal-binding site, respectively, for Cd/Mn uptake efficiency.

plant biology↗

bioRxiv2024

The yolk sac vasculature in early avian embryo provides a novel model for the analysis of cancer extravasation

Hematogenous metastasis, a key trait of cancer cells, involves a complex sequence of cell migration steps, including intravasation, circulation, arrest in capillary vessels, and extravasation. Among these steps, extravasation is challenging to image in amniotes like humans and mice due to its unpredictable timing and location, limiting our understanding of cellular and molecular mechanisms through imaging. Establishing a new cancer carrier model with high-resolution imaging capabilities in amniotes is crucial. In this study, we investigated the yolk sac vasculature (YSV) of early avian embryos (chickens and quail) as a new model for studying extravasation, offering excellent imaging capabilities. We examined the YSV structure and attempted fluorescent labeling to enhance visibility. We then injected mCherry-labeled HT-1080 cells into YSV and observed their behavior, revealing distinct morphologies and extravasation dynamics. Our findings suggest that the YSV model holds promise as a novel cancer carrier model for elucidating cellular and molecular mechanisms through imaging-based approaches.

cancer biology↗

bioRxiv2023

The SOCE system is critical for membrane bleb formation to drive avian primordial germ cell migration

Amoeboid cell migration is driven by the specialized cell protrusion, membrane bleb. A recent in vitro analysis of bleb formation using a cancer cell line showed that store-operated calcium entry (SOCE)-mediated local elevation of Ca2+ concentration triggers bleb formation, but it remains unknown how commonly this system is utilized in the bleb formation and bleb-driven cell migration in vivo. We demonstrate with avian primordial germ cell (PGC) model that that chick PGCs use SOCE, triggered by stem cell factor (SCF), to induce bleb formation and that it is essential for in vivo migration including trans-endothelial and mesenchymal cell migration. Our discovery also provides insight into the correlation between cancer metastasis/invasion and SOCE-mediated bleb formation.

developmental biology↗

bioRxiv2022

Deducing ensemble dynamics and information flow from the whole-brain imaging data

Recent development of large-scale activity imaging of neuronal ensembles provides opportunities for understanding how activity patterns are generated in the brain and how information is transmitted between neurons or neuronal ensembles. However, methodologies for extracting the component properties that generate overall dynamics are still limited. In this study, the results of time-lapse 3D imaging (4D imaging) of head neurons of the nematode C. elegans were analyzed by hitherto unemployed methodologies. By combining time-delay embedding with independent component analysis, the whole-brain activities were decomposed to a small number of component dynamics. Results from multiple samples, where different subsets of neurons were observed, were further combined by matrix factorization, revealing common dynamics from neuronal activities that are apparently divergent across sampled animals. By this analysis, we could identify components that show common relationships across different samples and those that show relationships distinct between individual samples. We also constructed a network model building on time-lagged prediction models of synaptic communications. This was achieved by dimension reduction of 4D imaging data using the general framework gKDR (gradient kernel dimension reduction). The model is able to decompose basal dynamics of the network. We further extended the model by incorporating probabilistic distribution, resulting in models that we call gKDR-GMM and gKDR-GP. The models capture the overall relationships of neural activities and reproduce the stochastic but coordinated dynamics in the neural network simulation. By virtual manipulation of individual neurons and synaptic contacts in this model, information flow could be estimated from whole-brain imaging results.

neuroscience↗

bioRxiv2022

Stiffness of primordial germ cells is required for their extravasation in avian embryos

During metastasis intravascularly circulating cancer cells undergo extravasation, which frequently takes place in vascular capillary beds 1-3. It remains poorly understood how the extravasation in the capillary beds is regulated. To address this question, chicken primordial germ cells (PGCs) serve as a powerful model since they circulate in blood stream and extravasate at a specific site of capillary bed near the forming gonad 4-6. The extravasation consists of two steps, the intravascular arrest of cells and their subsequent transmigration through the endothelial lining. We here demonstrate with live imaging at a single cell level in vivo that the arrest of PGCs is predominantly governed by occlusion at a narrow path in the capillary bed. In addition, this occlusion is enabled by a hightened stiffness of the PGCs, revealed by atomic force microscopy indentation analyses. The PGCs stiffness is regulated by actin polymerization: inhibition of the actin function causes not only a failure of PGC occlusion in the capillary bed, but also a failure of PGC colonization in the gonads at later stages. Following the occlusion, PGCs reset their stiffness to soften in order to squeeze through the endothelial lining as they transmigrate. The discovery of F-actin-mediated stiffness in pre-extravasating cells provides a model for understanding of dynamic mechanism by which other cells, including metastasizing cancer cells, extravasate in capillary beds.

developmental biology↗

bioRxiv2019

An annotation dataset facilitates automatic annotation of whole-brain activity imaging of C. elegans

Annotation of cell identity is an essential process in neuroscience that allows for comparing neural activities across different animals. In C. elegans, although unique identities have been assigned to all neurons, the number of annotatable neurons in an intact animal is limited in practice and comprehensive methods for cell annotation are required. Here we propose an efficient annotation method that can be integrated with the whole-brain imaging technique. We systematically identified neurons in the head region of 311 adult worms using 35 cell-specific promoters and created a dataset of the expression patterns and the positions of the neurons. The large positional variations illustrated the difficulty of the annotation task. We investigated multiple combinations of cell-specific promoters to tackle this problem. We also developed an automatic annotation method with human interaction functionality that facilitates annotation for whole-brain imaging.

neuroscience↗

bioRxiv2018

Deep-learning-based flexible pipeline for segmenting and tracking cells in 3D image time series for whole brain imaging

The brain is a complex system that operates based on coordinated neuronal activities. Brain-wide cellular calcium imaging techniques have quickly advanced in recent years and become powerful tools for understanding the neuronal activities of small animal models. The whole brain imaging generally requires to extract the neuronal activities from three-dimensional (3D) image series. Unfortunately, the 3D image series are obtained under imaging conditions different among laboratories and extracting neuronal activities from the data requires multiple processes. Therefore researchers need to develop their own software, which has prevented the application of whole-brain imaging experiments in more laboratories. Here, we combined traditional image processing techniques with the powerful deep-learning method which can be flexibly modified to fit 3D image data in the nematode Caenorhabditis elegans obtained under different conditions. We first trained the 3D U-net deep network to classify each pixel into cell and non-cell categories. Cells merged as a whole region were further separated into individual cells by watershed segmentation. The cells were then tracked in 3D space over time with the combination of a feedforward network and a point set registration method to use local and global relative positions of the cells, respectively. Remarkably, one manually annotated 3D image combined with data augmentation was sufficient for training the deep networks to obtain satisfactory tracking results. Our method correctly tracked more than 98% of neurons in three different image datasets and successfully extracted brain-wide neuronal activities. Our method worked well even when the sampling rate was reduced: 86% correct in case 4/5 frames were removed, and when artificial noise was added into the raw images: 91% correct in case 35 times of background-level noise was added. Our results proved that deep learning is widely applicable to different datasets and can help us in establishing a flexible pipeline for extracting whole brain activities.

bioinformatics↗

bioRxiv2017

An ensemble learning approach to auto-annotation for whole-brain C. elegans imaging

Shifting from individual neuron analysis to whole-brain neural network analysis opens up new research opportunities for Caenorhabditis elegans (C. elegans). An automated data processing pipeline, including neuron detection, segmentation, tracking and annotation, will significantly improve the efficiency of analyzing whole-brain C. elegans imaging. The resulting large data sets may motivate new scientific discovery by exploiting many promising analysis tools for big data. In this study, we focus on the development of an automated annotation procedure. With only around 180 neurons in the central nervous system of a C. elegans, the annotation of each individual neuron still remains a major challenge because of the high density in space, similarity in neuron shape, unpredictable distortion of the worms head during motion, intrinsic variations during worm development, etc. We use an ensemble learning approach to achieve around 25% error for a test based on real experimental data. Also, we demonstrate the importance of exploring extra source of information for annotation other than the neuron positions.

bioinformatics↗