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Yokota, H.

Publications and source records attributed to Yokota, H..

4 recordsLinked to original sources
bioRxiv2020

Receptor-linked environment-sensitive probe monitors the local membrane environment surrounding the insulin receptor

Functional membrane proteins in the plasma membrane are suggested to have specific membrane environments that play important roles to maintain and regulate the function of proteins. However, the local membrane environments of membrane proteins remain largely unexplored due to the lack of techniques allowing to monitor them in living cells. We have developed a method to probe the local membrane environment surrounding a membrane protein in the plasma membrane by covalently tethering a solvatochromic, environment-sensitive dye, Nile red, to a membrane protein via a flexible linker. Our direct imaging reported on the spatio-temporal properties of membrane fluidity of the local environment surrounding the insulin receptor. The local environment was distinct from the average plasma membrane fluidity and was quite dynamic and heterogeneous. Upon addition of insulin, the local membrane environment surrounding the receptor increased in fluidity in an insulin receptor-kinase dependent manner. This new technology should allow researchers to examine changes in membrane properties caused by receptor activation and devise ways to address the role of these changes in physiological processes.

cell biology↗
bioRxiv2020

APC mutant cells exploit compensatory chromosome alterations to restore tumour cell fitness

Cancer cells tolerate copy number alterations (CNAs) of genomic regions that are lethal to non-cancer cells. Certain CNAs are preferentially associated with specific cancer types and lineages, but the mechanisms underlying the emergence and selection of specific CNAs remain unclear. Adenomatous polyposis coli (APC) mutations induce mitotic errors, but their impact on tumor evolution remains elusive. We investigated APC function in cultured cells and tumors and found that its loss led to {beta}-catenin accumulation at centrosomes, suppressing its maturation through inhibition of key centrosome regulators, including Aurora kinase A (AURKA) that promotes tumor growth. These defects collectively reduced cellular fitness, leading to impaired mitotic fidelity and delayed cell cycle progression. However, in APC-mutant tumors, AURKA activity was maintained, at least in part, through the amplification of chromosomes harboring AURKA and its activator genes, yet this alone was insufficient to fully restore proliferation: aberrant chromosomal reorganization also emerged and contributed to the adaptive fitness of APC-mutant cells. Such a process of adaptive CNA selection provides a framework for understanding how specific CNAs are selected to counteract disadvantages imposed by genetic alterations during tumor progression, providing one key insight into how specific CNAs are selected in this context.

cell biology↗
bioRxiv2020

Evaluation of origin of driving force for loop formation in a chromatin fiber

Chromosome condensation results from the formation of consecutive chromatin loops in which excluded volume interactions lead to chromosome stiffness. Formation of chromatin loops requires energy, but the source of such energy remains controversial. Here, we quantified the energy balance during chromatin loop formation by calculating the free energies of unlooped and looped chromatins using a lattice model of polymer chains. We tested two hypothetical energy sources: thermal fluctuation and ATP hydrolysis. We evaluated the free energy difference of the chain loop model without accounting for excluded volume interactions (phantom loop model), and integrated those interactions by employing the mean-field theory (interacting loop model), where we introduced the parameter of excluded volume interaction within a single loop vex. Using our strategy, we confirmed that loop-growth efficiency calculated by the phantom loop model is too high to explain the experimental data. Comparing loop-growth efficiencies for each energy source, and using the interacting loop model, we found that excluded volume interaction is essential for chromatins resistance to looping, regardless of the energy source. We predict that the quantitative measurement of vex determines which energy source is more plausible. Author summaryBefore mitosis, the chromatin fibers of eukaryotic cells fold into consecutive loop structures and condense into rod-like chromosomes. Chromosome stiffness results from the interaction of the excluded volume between chromatin loops. The driving force of loop formation and growth is still controversial, despite the many efforts undertaken to clarify it. Two possible origins can be considered: the energy provided by thermal fluctuations or the energy gained from ATP hydrolysis. To discuss the validity of each, we constructed a theoretical model of chromatin loop formation that includes excluded volume interactions. Using this model, we calculated the free energy difference before and after chromatin loop formation, which corresponds to the energy that fuels chromatin looping. By comparing the results for each energy source, we conclude that the spatial distribution of chromatin loops should be relatively wide, given the large excluded volume interaction within a single loop, irrespective of which energy source is valid. Moreover, our results imply that intra-loop interactions are key to determine the driving force of chromatin loop formation.

biophysics↗