Biology subjects

Kigawa, T.

Publications and source records attributed to Kigawa, T..

6 recordsLinked to original sources

bioRxiv2026

Expanding the Frontiers of Structural Analysis in Short RNAs by Ultra-High Field 1.3 GHz NMR

Residual dipolar couplings (RDCs) obtained via magnetic field-induced alignment offer a powerful, media-free approach for the structural analysis of biomolecules. However, their detection in short, fast-tumbling nucleic acids remains elusive at conventional magnetic fields due to insufficient alignment and sensitivity. Here, we demonstrate the direct observation of these RDCs at 1.3 GHz in a 14-mer hairpin fragment derived from an HIV-1 Vif-targeting aptamer. The 1JNH scalar couplings of imino protons were measured at fields ranging from 600 MHz to 1.3 GHz. While the coupling constants remained invariant between 600 and 900 MHz, a clear deviation was exclusively captured at 1.3 GHz for all base-paired stem residues, demonstrating the first media-free detection of field-induced RDCs in a short RNA of this size. This breakthrough arises from a synergistic B07/2 scaling, combining enhanced alignment ({propto} B02) and sensitivity ({propto} B03/2). These RDCs showed excellent agreement with the NOE-derived structure. Additionally, the flexible loop residue G8 exhibited no detectable RDC, but displayed a field-dependent TROSY/anti-TROSY intensity inversion at 1.3 GHz, reflecting an unusual 1H chemical shift anisotropy (CSA) tensor that corroborates the local base-packing environment. Our findings highlight 1.3 GHz NMR as an indispensable tool for the structural analysis of short RNAs.

biophysics↗

bioRxiv2024

Autonomous adaptive optimization of NMR experimental conditions for precise inference of minor conformational states of proteins based on chemical exchange saturation transfer

In scientific experiments where measurement sensitivity is a major limiting factor, optimization of experimental conditions, such as parameters of measurement instruments, is essential to maximize the information obtained per unit time and the number of experiments performed. When optimization in advance is not possible because of limited prior knowledge of the system, autonomous, adaptive optimization must be implemented during the experiment. One approach to this involves sequential Bayesian optimal experimental design, which adopts mutual information as the utility function to be maximized. In this study, we applied this optimization method to the chemical exchange saturation transfer (CEST) experiment in nuclear magnetic resonance (NMR) spectroscopy, which is used to study minor but functionally important invisible states of certain molecules, such as proteins. Adaptive optimization was utilized because prior knowledge of minor states is limited. To this end, we developed an adaptive optimization system of 15N-CEST experimental conditions for proteins using Markov chain Monte Carlo (MCMC)to calculate the posterior distribution and utility function. To ensure the completion of MCMC computations within a reasonable period with sufficient precision, we developed a second-order approximation of the CEST forward model. Both simulations and actual measurements using the FF domain of the HYPA/FBP11 protein with the A39G mutation demonstrated that the adaptive method outperformed the conventional one in terms of estimation precision of minor-state parameters based on equal numbers of measurements. Because the algorithm used for the evaluation of the utility function is independent of the type of experiment, the proposed system can be applied to other instruments, as well as other NMR experiments, if the forward model or its approximation can be calculated sufficiently quickly. Author SummaryIn scientific experiments, experimental conditions are usually optimized to maximize the amount of information obtained about the target system. However, this optimization often involves measuring unknown system parameters. In nuclear magnetic resonance (NMR) spectroscopy, chemical exchange saturation transfer (CEST) is an effective method for observing minor states of certain molecules, such as proteins, indirectly via an easily observable major state. The optimal conditions for CEST depend on the resonant frequency of the minor state, which is not known before the experiment. Therefore, conventional CEST requires repeated measurements over a wide frequency range, most of which contain little information regarding minor populations. This problem may be resolved by adopting a step-by-step strategy that selects the most informative experimental condition for each subsequent step based on past data. In this study, we implemented this strategy for the CEST analysis of proteins. It can be also applied to other NMR experiments.

biophysics↗

bioRxiv2021

Multi-state structure determination and dynamics analysis reveals a new ubiquitin-recognition mechanism in yeast ubiquitin C-terminal hydrolase

Despite accumulating evidence that protein dynamics is indispensable for understanding the structural basis of biological activities, it remains challenging to visualize the spatial description of the dynamics and to associate transient conformations with their molecular functions. We have developed a new NMR protein structure determination method for the inference of multi-state conformations using multiple types of NMR data, including paramagnetic NMR and residual dipolar couplings, as well as conventional NOEs. Integration of these data in the structure calculation permits delineating accurate ensemble structures of biomacromolecules. Applying the method to the protein yeast ubiquitin hydrolase 1 (YUH1), we find large dynamics of its N-terminus and crossover loop surrounding the active site for ubiquitin-recognition and proteolysis. The N-terminus gets into and out of the crossover loop, suggesting their underlying functional significance. Our results, including those from biochemical analysis, show that large motion surrounding the active site contributes strongly to the efficiency of the enzymatic activity.

biophysics↗

bioRxiv2020

Hyperactivation of L-lactate oxidase by liquid-liquid phase separation

Liquid droplets formed by liquid-liquid phase separation are attracting attention as functional states of proteins in living cells. Liquid droplets are thought to activate enzymatic reactions by assembling the required molecules. Thus, liquid droplets usually increase the affinity of an enzyme to its substrates, leading to decreased KM values. In this study, we demonstrate a new mechanism of enzyme activation in the droplets using Llactate oxidase (LOX). In the presence of poly-L-lysine (PLL), LOX formed droplets with diameters of hundreds of nanometers to tens of micrometers, stabilized by electro-static interaction. The enzyme activity of LOX in the droplets was significantly enhanced by a fourfold decrease in KM and a tenfold increase in kcat. To our knowledge, this represents the first report for increasing kcat by the formation of the liquid droplet. Interestingly, the conformation of LOX changed in the liquid droplet, probably leading to increased kcat value. Understanding enzyme activation in the droplets provides essential information about enzyme function in living cells in addition to biotechnology applications.

biochemistry↗

bioRxiv2019

Synthetic peptide-induced internalization of biomolecules into various plant and algal cells via micropinocytosis

Efficient intracellular delivery of biomolecules is important for many different biological and biotechnological applications in living organisms, and is a prerequisite for certain types of fundamental and applied research. One major challenge is the delivery of unmodified, functional cargoes in a simple, time-efficient, and high-throughput manner. Herein, we present an efficient strategy that uses fusion peptides containing cell penetrating peptide, endosomal escape domain, and a sarcosine linker to introduce biomolecules, namely fluorescent protein and dextran, via macropinocytosis into the cells of various land plants and microalgae. Our peptide-mediated delivery system allows for high-throughput delivery of functional biomolecules within a few minutes to a few hours as well as open new possibilities for biology and biotechnology using difficult-to-transfect cell types.

plant biology↗

bioRxiv2019

Native protein delivery into rice callus using ionic complexes of protein and cell-penetrating peptides

Direct protein delivery into intact plants remains a challenge for the agricultural and plant science fields. Cell-penetrating peptide (CPP)-mediated protein delivery requires the binding of CPPs to a protein to carry the protein into the cell through the cell wall and lipid bilayer. Thus, we prepared ionic complexes of a CPP-containing carrier peptide and a cargo protein, namely, Citrine yellow fluorescent protein, and subsequently studied their physicochemical properties. Two types of carrier peptides, BP100(KH)9 and BP100CH7, were investigated for delivery efficiency into rice callus. Both BP100(KH)9 and BP100CH7 successfully introduced Citrine protein into rice callus cells under pressure and vacuum treatment. Moreover, delivery efficiency varied at different growth stages of rice callus; 5-day rice callus was a more efficient recipient for Citrine than 21-day callus.

plant biology↗