Publications by authors named "F Kato"

Article Synopsis
  • Viral RNA synthesis of mononegaviruses, like the mumps virus (MuV), occurs in specialized cytoplasmic regions called inclusion bodies (IBs) that have liquid-like properties due to liquid-liquid phase separation.
  • Research findings show that MuV IBs have a cage-like structure formed by viral proteins and the viral polymerase that spatially aligns with viral RNAs.
  • The analysis also revealed that host RNAs with G-quadruplex motifs (G4-RNAs) are concentrated in MuV IBs, and these G4-RNAs enhance the formation of these structures by interacting with a specific viral protein.
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Neurofibromatosis type 1 (NF1) presents with a broad spectrum of clinical manifestations, including an increased risk of tumor development and hypertension. Comprehensive data on genotype‒phenotype correlations in patients with NF1 are limited. Therefore, in this study, we aimed to elucidate the detailed genetic and clinical characteristics of NF1 in a hereditary tumor cohort.

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Breathing behaviour is subject to emotional regulation, but the underlying mechanisms remain unclear. Here, we demonstrate a direct relationship between the central amygdala, a major output hub of the limbic system associated with emotional brain function, and the brainstem pre-Bötzinger complex, which generates the fundamental rhythm and pattern for breathing. The connection between these two sites is monosynaptic and inhibitory, involving GABAergic central amygdala neurons whose axonal projections act predominantly via ionotropic GABA receptors to produce inhibitory postsynaptic currents in pre-Bötzinger neurons.

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Article Synopsis
  • Bacterial toxin-antitoxin (TA) systems include a toxic protein that disrupts vital cell functions and an antitoxin that neutralizes this toxin, playing roles in cell death and defense mechanisms against viruses (phages).
  • The Staphylococcus aureus TA system, tsaAT, features two membrane proteins: TsaT, which promotes cell death by damaging the membrane, and TsaA, which counteracts TsaT's effects without being toxic itself.
  • The research highlights the unique aspect of this TA system, being one of the first where both components are membrane proteins, and identifies critical amino acids involved in the toxicity and neutralization processes, enhancing our understanding of bacterial TA systems.
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Article Synopsis
  • The study aimed to evaluate the effectiveness of model-based deep learning reconstruction (DL-DWI) in improving prostate diffusion-weighted imaging (DWI) compared to traditional parallel imaging (PI-DWI).
  • Researchers analyzed 32 patients with prostate cancer and found that DL-DWI significantly outperformed PI-DWI in terms of image quality, as shown by both qualitative and quantitative measures.
  • The results indicated that DL-DWI provided better signal-to-noise ratio, contrast-to-noise ratio, and diffusion coefficient values for prostate tissues and lesions; however, the study lacked comparisons with other deep learning methods, highlighting a need for future research.
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