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Biology subjects

Fujimori, K.

Publications and source records attributed to Fujimori, K..

6 recordsLinked to original sources

Machine-learning-guided enzyme discovery and redox-system engineering for efficient production of the nylon monomer methyl 12-aminododecanoate in Escherichia coli

Methyl 12-aminododecanoate (ADAME) is a key precursor for Nylon 12 synthesis and an attractive target for sustainable microbial production. However, efficient biosynthesis of ADAME requires the coordinated oxidation and transamination of methyl dodecanoate (DAME), and identifying compatible enzymes for this multistep pathway remains challenging. In this study, we applied a machine learning-based bioinformatic screening approach to identify alternative enzymes for DAME-to-ADAME bioconversion. Among 18 selected distantly related AlkB homologs, AlkBGp01 from Alcanivorax sp. P2S70 showed activity toward DAME, producing 12-hydroxydodecanoic acid methyl ester (HDAME) and 12-oxododecanoic acid methyl ester (ODAME) despite low sequence identity to Pseudomonas putida AlkB. Further screening identified compatible redox partners, AlkG60 from the same species as AlkBGp01 and AlkTp04, whose combination with AlkBGp01 resulted in almost sixfold higher ODAME production than that achieved with P. putida AlkBFGJLT. ODAME production was further increased by more than threefold by conjugating these three newly identified proteins. The optimized single-plasmid system comprising conjugated AlkBGp01, AlkG60, and AlkTp04, together with AlaD and newly identified omega-transaminases EAV41574 produced 0.28 mM gDCW-1 ADAME, representing a 5.6-fold improvement over the previously reported P. putida AlkBFGJLT-based system with AlaD-CV2025. These results demonstrate that machine learning-guided enzyme discovery can identify functional distantly related homologs and compatible enzyme combinations for constructing efficient synthetic pathways. This study also highlights the importance of optimizing pathway architecture, including enzyme conjugation and plasmid configuration, for improving microbial production of bio-based monomer precursors.

bioengineering↗

Generation of human-pig chimeric renal organoids using iPSC technology

The potential of using porcine organs and human induced pluripotent stem cell (iPSC)-derived organoids as alternative organs for human transplantation has garnered growing attention. However, both approaches still face technological challenges. Interspecies chimeric organ production using human iPSCs is expected to be another promising approach that addresses the challenges associated with organ production. Our research group successfully generated human-mouse chimeric renal organoids by utilizing human iPSC-derived nephron progenitor cells (NPCs) and fetal mouse kidneys. However, the current technology has limited engraftment and development capabilities for human NPCs, and there have been no reports of generating interspecies chimeric renal organoids in larger animals, limited only to rodents. Therefore, in this study, we embarked on the production of human-pig chimeric renal organoids using the pig kidney, which is considered the most promising source of organs for interspecies transplantation to humans. To construct a human-pig chimeric renal organoid culture system, we first modified the existing human-mouse chimeric renal organoid culture system and developed a method that enables the survival and continued renal development of both species. This method was found to be applicable to porcine fetal kidney cells, and ultimately, we successfully produced human-pig chimeric renal organoids. Furthermore, this culture method can also be applied to the generation of human interspecies chimeric kidneys for future clinical applications. The findings of this study serve as a foundational technology that will greatly accelerate future research in humanized pig kidney production for clinical purposes, and are also expected to be used as an evaluation technique to ensure the quality of human NPCs for xenotransplantation.

bioengineering↗

Highly efficient induction of functionally mature excitatory neurons from feeder-free human ES/iPS cells

Cortical excitatory neurons (Cx neurons) are the most dominant neuronal cell type in the cerebral cortex, which play a central role in cognition, perception, intellectual behavior and emotional processing. Robust in vitro induction of Cx neurons may facilitate as a tool for the elucidation of brain development and pathomechanism of the intractable neurodevelopmental and neurodegenerative disorders including Alzheimers disease, and thus potentially contribute to drug development. Here, we report a defined method for efficient induction of Cx neurons from the feeder-free-conditioned human embryonic stem cells (ES cells) and induced pluripotent stem cells (iPS cells). By using this method, human ES/iPS cells could be differentiated into ~99% MAP2-positive neurons by three weeks, and these induced neurons, within five weeks, presented various characteristics of mature excitatory neurons such as strong expression of glutamatergic neuron-specific markers (subunits of AMPA and NDMA receptors and CAMKII), highly synchronized spontaneous firing and excitatory postsynaptic current (EPSC). Moreover, the Cx neurons showed susceptibility to the toxicity of A{beta}42 oligomers and excitotoxicity of excessive glutamates, which is another advantage in terms of toxicity test and searching for the therapeutic agents. Taken together, this study provides a novel research platform for the study of neural development and degeneration based on the feeder-free human ES/iPS cell system.

neuroscience↗

Oligodendrocyte-lineage cell exocytosis and L-type prostaglandin D synthase 1 promote oligodendrocyte development and myelination

In the developing central nervous system, oligodendrocyte precursor cells (OPCs) differentiate into oligodendrocytes, which form myelin around axons. Oligodendrocytes and myelin are essential for the function of the central nervous system, as evidenced by the severe neurological symptoms that arise in demyelinating diseases such as multiple sclerosis and leukodystrophy. Although many cell-intrinsic mechanisms that regulate oligodendrocyte development and myelination have been reported, it remains unclear whether interactions among oligodendrocyte-lineage cells (OPCs and oligodendrocytes) affect oligodendrocyte development and myelination. Here, we show that blocking vesicle-associated membrane protein (VAMP) 1/2/3-dependent exocytosis from oligodendrocyte-lineage cells impairs oligodendrocyte development, myelination, and motor behavior in mice. Adding oligodendrocyte-lineage cell-secreted molecules to secretion-deficient OPC cultures partially restores the morphological maturation of oligodendrocytes. Moreover, we identified L-type prostaglandin D synthase as an oligodendrocyte-lineage cell-secreted protein that promotes oligodendrocyte development and myelination in vivo. These findings reveal a novel autocrine/paracrine loop model for the regulation of oligodendrocyte and myelin development.

neuroscience↗

Statins attenuate antiviral IFN- and ISG expression via inhibiting IRF3/JAK/STAT signaling in poly(I:C)-treated hyperlipidemic mice and macrophages

Viral infection is a significant burden to healthcare worldwide. Statins, 3-hydroxy-3-methyl glutaryl coenzyme A reductase inhibitors, are widely used as cholesterol-lowering drugs. Recently, long term statin therapy was shown to reduce the antiviral immune response; however, the underlying molecular mechanisms are unclear. Here, we found that simvastatin decreased polyinosinic-polycytidylic acid [poly(I:C)]-induced expression of antiviral interferon (IFN)-{beta} and IFN-stimulated genes (ISGs) in the bronchoalveolar lavage fluid and lungs of mice with high-fat diet-induced hyperlipidemia. As macrophages were the dominant cell type in the bronchoalveolar lavage fluid of poly(I:C)-treated mice, we examined the molecular mechanisms of statin-mediated inhibition of antiviral gene expression using murine J774.1/JA-4 macrophages. Simvastatin and pitavastatin decreased poly(I:C)-induced expression of IFN-{beta} and ISGs. Moreover, they repressed poly(I:C)-induced phosphorylation of IFN regulatory factor (IRF) 3 and signal transducers and activators of transcription (STAT) 1, which is involved in Janus kinase (JAK)/STAT signaling. Mevalonate and geranylgeranylpyrophosphate (GGPP), but not cholesterol, counteracted the negative effect of statins on IFN-{beta} and ISG expression and phosphorylation of IRF3 and STAT1. These results suggest that statins suppressed the expression of IFN-{beta} and ISGs in poly(I:C)-treated hyperlipidemic mice and murine macrophages, and that these effects occured through the inhibition of IRF3-mediated JAK/STAT signaling in macrophages. Furthermore, GGPP recovered the statin-suppressed IRF3/JAK/STAT signaling pathway in poly(I:C)-treated macrophages.

biochemistry↗

Aberrant claudin-6-adhesion signal promotes endometrial cancer progression via estrogen receptor α

Cell adhesion proteins not only maintain tissue integrity but also possess signaling abilities to organize diverse cellular events in physiological and pathological processes; however, the underlying mechanism remains obscure. Among cell adhesion molecules, the claudin (CLDN) family often possesses aberrant expression in various cancers, but the biological relevance and molecular basis have not yet been established. Here, we show that high CLDN6 expression promotes endometrial cancer progression and represents the poor prognostic marker. The second extracellular domain and Y196/200 of CLDN6 were required to recruit and activate Src-family kinases (SFKs) and to stimulate malignant phenotypes. Importantly, we demonstrate that the CLDN6/SFK/PI3K-dependent AKT and SGK (serum- and glucocorticoid-regulated kinase) signalings target Ser518 in the human estrogen receptor and ligand-independently activate target genes in endometrial cancer cells, resulting in cancer development. The identification of this machinery highlights regulation of the transcription factors by cell adhesion to advance tumor progression.

cancer biology↗