Publications by authors named "S Fuchigami"

As cardiomyocyte loss causes heart failure, inhibition of cardiomyocyte death may be a therapeutic strategy against heart failure. In this study, we have identified defender against cell death 1 (Dad1) as a candidate regulator of cardiomyocyte death, using complementary DNA microarray and siRNA knockdown screening. Dad1 is a subunit of oligosaccharyltransferase (OST) complex that is responsible for protein N-glycosylation; however, its function in cardiomyocytes remains unknown.

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Microtubules (MTs) are dynamic cytoskeletal polymers that play a critical role in determining cell polarity and shape. In plant cells, acentrosomal MTs are localized on the cell surface and are referred to as cortical MTs. Cortical MTs nucleate in the cell cortex and detach from nucleation sites.

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Representation learning (RL) is a universal technique for deriving low-dimensional disentangled representations from high-dimensional observations, aiding in a multitude of downstream tasks. RL has been extensively applied to various data types, including images and natural language. Here, we analyze molecular dynamics (MD) simulation data of biomolecules in terms of RL.

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Ion mobility spectrometry-mass spectrometry (IMS-MS) provides values and collision cross sections (CCSs) of gas-phase ions. In our previous study, an intrinsically disordered protein, the H2A-H2B dimer, was analyzed using IMS-MS, resulting in two conformational populations of CCS. Based on experimental and theoretical approaches, this resulted from a structural diversity of intrinsically disordered regions.

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High-speed (HS) atomic force microscopy (AFM) can be used to observe structural dynamics of biomolecules under near-physiological conditions. In the AFM measurement, the probe tip scans an area of interest and acquires height data pixel by pixel so that the obtained AFM image contains a measurement time difference. In this study, to integrate molecular dynamics simulations with asynchronous HS-AFM movie data, we developed a particle smoother (PS) method for Bayesian data assimilation, one of the machine learning approaches, by extending the previous particle filter method.

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