Kazunari Kaizu
RIKEN Quantitative Biology Center
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Featured researches published by Kazunari Kaizu.
Cell Reports | 2012
Saera Hihara; Chan-Gi Pack; Kazunari Kaizu; Tomomi Tani; Tomo Hanafusa; Tadasu Nozaki; Satoko Takemoto; Tomohiko Yoshimi; Hideo Yokota; Naoko Imamoto; Yasushi Sako; Masataka Kinjo; Koichi Takahashi; Takeharu Nagai; Kazuhiro Maeshima
Genome information, which is three-dimensionally organized within cells as chromatin, is searched and read by various proteins for diverse cell functions. Although how the protein factors find their targets remains unclear, the dynamic and flexible nature of chromatin is likely crucial. Using a combined approach of fluorescence correlation spectroscopy, single-nucleosome imaging, and Monte Carlo computer simulations, we demonstrate local chromatin dynamics in living mammalian cells. We show that similar to interphase chromatin, dense mitotic chromosomes also have considerable chromatin accessibility. For both interphase and mitotic chromatin, we observed local fluctuation of individual nucleosomes (~50 nm movement/30 ms), which is caused by confined Brownian motion. Inhibition of these local dynamics by crosslinking impaired accessibility in the dense chromatin regions. Our findings show that local nucleosome dynamics drive chromatin accessibility. We propose that this local nucleosome fluctuation is the basis for scanning genome information.
Biophysical Journal | 2014
Kazunari Kaizu; Wiet de Ronde; Joris Paijmans; Koichi Takahashi; Filipe Tostevin; Pieter Rein ten Wolde
Biological systems often have to measure extremely low concentrations of chemicals with high precision. When dealing with such small numbers of molecules, the inevitable randomness of physical transport processes and binding reactions will limit the precision with which measurements can be made. An important question is what the lower bound on the noise would be in such measurements. Using the theory of diffusion-influenced reactions, we derive an analytical expression for the precision of concentration estimates that are obtained by monitoring the state of a receptor to which a diffusing ligand can bind. The variance in the estimate consists of two terms, one resulting from the intrinsic binding kinetics and the other from the diffusive arrival of ligand at the receptor. The latter term is identical to the fundamental limit derived by Berg and Purcell (Biophys. J., 1977), but disagrees with a more recent expression by Bialek and Setayeshgar. Comparing the theoretical predictions against results from particle-based simulations confirms the accuracy of the resulting expression and reaffirms the fundamental limit established by Berg and Purcell.
Scientific Reports | 2013
Kazuhiro Aoki; Koichi Takahashi; Kazunari Kaizu; Michiyuki Matsuda
Cytoplasm contains a large number of macromolecules at extremely high densities. How this striking nature of intracellular milieu called macromolecular crowding affects intracellular signaling remains uncharacterized. Here, we examined the effect of macromolecular crowding on ERK MAPK phosphorylation by MEK MAPKK. Addition of polyethylene glycol-6000 (PEG-6000) as a crowder to mimic intracellular environments, elicited a biphasic response to the overall ERK phosphorylation rate. Furthermore, probability of processive phosphorylation (processivity) of tyrosine and threonine residues within the activation loop on ERK increased non-linearly for increasing PEG-6000 concentration. Based on the experimental data, we developed for the first time a mathematical model integrating all of the effects of thermodynamic activity, viscosity, and processivity in crowded media, and found that ERK phosphorylation is transition-state-limited reaction. The mathematical model allows accurate estimation of the effects of macromolecular crowding on a wide range of reaction kinetics, from transition-state-limited to diffusion-limited reactions.
Nucleus | 2013
Tadasu Nozaki; Kazunari Kaizu; Chan-Gi Pack; Sachiko Tamura; Tomomi Tani; Saera Hihara; Takeharu Nagai; Koichi Takahashi; Kazuhiro Maeshima
Genomic DNA is organized three dimensionally within cells as chromatin and is searched and read by various proteins by an unknown mechanism; this mediates diverse cell functions. Recently, several pieces of evidence, including our cryomicroscopy and synchrotron X-ray scattering analyses, have demonstrated that chromatin consists of irregularly folded nucleosome fibers without a 30-nm chromatin fiber (i.e., a polymer melt-like structure). This melt-like structure implies a less physically constrained and locally more dynamic state, which may be crucial for protein factors to scan genomic DNA. Using a combined approach of fluorescence correlation spectroscopy, Monte Carlo computer simulations, and single nucleosome imaging, we demonstrated the flexible and dynamic nature of the nucleosome fiber in living mammalian cells. We observed local nucleosome fluctuation (~50 nm movement per 30 ms) caused by Brownian motion. Our in vivo-in silico results suggest that local nucleosome dynamics facilitate chromatin accessibility and play a critical role in the scanning of genome information.
Journal of Physics: Condensed Matter | 2015
Kazuhiro Maeshima; Kazunari Kaizu; Sachiko Tamura; Tadasu Nozaki; Tetsuro Kokubo; Koichi Takahashi
Genetic information, which is stored in the long strand of genomic DNA as chromatin, must be scanned and read out by various transcription factors. First, gene-specific transcription factors, which are relatively small (∼50xa0kDa), scan the genome and bind regulatory elements. Such factors then recruit general transcription factors, Mediators, RNA polymerases, nucleosome remodellers, and histone modifiers, most of which are large protein complexes of 1-3xa0MDa in size. Here, we propose a new model for the functional significance of the size of transcription factors (or complexes) for gene regulation of chromatin domains. Recent findings suggest that chromatin consists of irregularly folded nucleosome fibres (10xa0nm fibres) and forms numerous condensed domains (e.g., topologically associating domains). Although the flexibility and dynamics of chromatin allow repositioning of genes within the condensed domains, the size exclusion effect of the domain may limit accessibility of DNA sequences by transcription factors. We used Monte Carlo computer simulations to determine the physical size limit of transcription factors that can enter condensed chromatin domains. Small gene-specific transcription factors can penetrate into the chromatin domains and search their target sequences, whereas large transcription complexes cannot enter the domain. Due to this property, once a large complex binds its target site via gene-specific factors it can act as a buoy to keep the target region on the surface of the condensed domain and maintain transcriptional competency. This size-dependent specialization of target-scanning and surface-tethering functions could provide novel insight into the mechanisms of various DNA transactions, such as DNA replication and repair/recombination.
Journal of Molecular Biology | 2018
Michio Hiroshima; Chan-Gi Pack; Kazunari Kaizu; Koichi Takahashi; Masahiro Ueda; Yasushi Sako
Cell signaling depends on spatiotemporally regulated molecular interactions. Although the movements of signaling proteins have been analyzed with various technologies, how spatial dynamics influence the molecular interactions that transduce signals is unclear. Here, we developed a single-molecule method to analyze the spatiotemporal coupling between motility, clustering, and signaling. The analysis was performed with the epidermal growth factor receptor (EGFR), which triggers signaling through its dimerization and phosphorylation after association with EGF. Our results show that the few EGFRs isolated in membrane subdomains were released by an EGF-dependent increase in their diffusion area, facilitating molecular associations and producing immobile clusters. Using a two-color single-molecule analysis, we found that the EGF-induced state transition alters the properties of the immobile clusters, allowing them to interact for extended periods with the cytoplasmic protein, GRB2. Our study reveals a novel correlation between this molecular interaction and its mesoscale dynamics, providing the initial signaling node.
Molecular Biology of the Cell | 2017
Ryosuke Imai; Tadasu Nozaki; Tomomi Tani; Kazunari Kaizu; Kayo Hibino; Satoru Ide; Sachiko Tamura; Koichi Takahashi; Michael Shribak; Kazuhiro Maeshima
Using orientation-independent-DIC microscopy, we revealed that the density of total materials in heterochromatin was only 1.53-fold higher than that of euchromatin, whereas the DNA density was 7.5-fold higher. This surprisingly small difference may be due to the dominance of proteins and RNAs in both chromatins, which may help create a moderate barrier to heterochromatin.
Epigenetics and Systems Biology | 2017
Kayo Hibino; Kazunari Kaizu; Koichi Takahashi; Kazuhiro Maeshima
Abstract The manner in which long genomic DNA sequences are organized and behave in living cells remains a fundamental question in biology. To address this question, we carried out single-nucleosome imaging using super-resolution microscopy (photoactivated localization microscopy). We found a large degree of nucleosome movement (or fluctuation) in living mammalian cells. Computational modeling using the Monte Carlo method to reconstruct the in silico chromatin environment suggested that nucleosome fluctuation facilitates chromatin accessibility, which is advantageous for the “scanning and targeting genomic DNA” process in various DNA transactions such as RNA transcription. Furthermore, based on a modeling study, we proposed a “buoy” model wherein the physical size of transcription factors is key to transcriptional regulation: A physically large transcriptional complex can keep the regions to be transcribed on the chromatin domain surface like a “buoy” and maintain the transcriptional activity of the regions. In this chapter, we discuss the experimental and theoretical details of our imaging and modeling systems for investigating chromatin structure and dynamics in living cells to further our understanding of chromatin, epigenetics, and the genome.
Seibutsu Butsuri | 2012
Masaki Watabe; Kazunari Kaizu; Koichi Takahashi
Seibutsu Butsuri | 2012
Kazunari Iwamoto; Kazunari Kaizu; Koichi Takahashi