bioRxiv Science⌕ Search

Biology subjects

Hori, C.

Publications and source records attributed to Hori, C..

3 recordsLinked to original sources

EV-Tracer enables lineage-resolved detection and molecular profiling of extracellular vesicle-associated signals in cancer-fibroblast co-culture

Extracellular vesicles (EVs) facilitate intercellular communication by transferring diverse bioactive molecules from donor to recipient cells. However, EVs released by distinct cellular lineages become difficult to distinguish when mixed in multicellular experimental models, limiting the analysis of how cell-cell interactions affect EV-associated molecular profiles. To address this, EV-Tracer, a CD63-based dual-fluorescence tracing and capture system for detecting, isolating, and profiling lineage-associated EV fractions, was developed. Achilles or mScarlet was inserted into the small extracellular loop of CD63, enabling tracer-specific EV detection by digital counting, antibody-based isolation, and live-cell visualisation. Exploratory EV RNA sequencing suggested that physical cell-cell contact was associated with distinct EV RNA profiles, including interferon-related signals, which were supported by targeted cellular and EV-associated RNA analyses. EV-Tracer provides a practical framework for investigating lineage-associated EV dynamics and molecular signals in mixed-cell systems.

cell biology↗

Synthesis based on covalent capture and release (SCCR): a programmable strategy for automated preparation of protease-activatable molecules

Enzyme-activatable chemical tools, including fluorogenic probes and prodrugs, are essential in chemical biology and targeted therapeutics but remain challenging to access in structurally diverse forms because their synthesis is often bespoke and difficult to standardize. Here, we introduce synthesis based on covalent capture and release (SCCR) as a programmable chemical strategy that enables the modular assembly of protease-activatable molecules through specifically designed protecting-group logic. The SCCR framework establishes a standardized capture-elongation- release workflow that decouples molecular diversification from individual synthetic optimization, thereby enabling automated preparation of complex libraries. Using this chemistry, we generated a diverse set of fluorogenic probes and applied them to single-molecule enzyme activity analyses to identify candidate activity-based biomarkers of liver diseases. The generality of the SCCR strategy was further demonstrated by extending the same chemical logic to the preparation of antibody-drug conjugate (ADC) linkers, allowing systematic evaluation of plasma stability and cytotoxic potential. By establishing a programmable capture-release chemistry for the synthesis of enzyme-activatable molecules, this work provides a generalizable chemical foundation for the scalable and automated construction of functional small-molecule tools across biological and translational research.

biochemistry↗

Establishment of an antimetabolite-based transformation system for the wood-decaying basidiomycete Phanerochaete chrysosporium

The model wood-decaying basidiomycete Phanerochaete chrysosporium has been extensively studied to elucidate the molecular mechanisms of wood decomposition. However, genetic studies have been limited by the lack of adequate genetic tools. Here, we established an antimetabolite-based transformation system, originally developed for ascomycetes, for use in P. chrysosporium. The transformation system utilizes pyrithiamine (PT), a thiamine antimetabolite, in combination with the pPTRII vector that contains the PT resistance gene (ptrA). PT effectively inhibited the growth of P. chrysosporium, and the introduction of ptrA conferred resistance to transformant mycelia. The transformation efficiency was comparable to that in ascomycetes, suggesting that the transformation system is also applicable to basidiomycetes. To examine the suitability of the system for heterologous gene expression, four cassettes were constructed to express GFP under the promoters of the actin1, DED, and GAPDH genes. Promoter activities were assessed via fluorescent microscopy observation of transformant mycelia and GFP quantification in crude cell extracts, revealing that the actin1 promoter drove the highest level of expression. Furthermore, truncating repeat sequences of the autonomously replicating sequence in the vector backbone improved transformation efficiency, likely due to the reduction in vector size. The transformation efficiency of the gene cassette-inserted vector in P. chrysosporium was relatively higher than that reported with alternative transformation systems in other species of wood- decaying basidiomycetes. The present transformation system could provide a platform for protein expression and genetic engineering in P. chrysosporium and potentially in other wood-decaying basidiomycetes. ImportanceWood-decaying basidiomycetes are well-recognized for their exceptional capabilities to decompose lignocellulosic biomass and oxidize a broad range of complex organic compounds. These capabilities are essential for maintaining the forest ecosystem and hold potential in biotechnological applications such as transforming recalcitrant biomass into useful compounds and degrading toxic substances in industrial effluents. However, genetic manipulation in basidiomycetes remains challenging because of the inefficiency of transformation systems. In the model lignocellulose-degrading basidiomycete, P. chrysosporium, transformation methods using dominant markers are scarce and were reported over two decades ago, necessitating the re- establishment of a functional system compatible with modern genetic tools. In this study, an efficient genetic transformation system was achieved by using an antimetabolite-based selection strategy for P. chrysosporium. This transformation system would lay the foundation for advancing our understanding of the molecular mechanisms of wood decomposition and support the targeted optimization of basidiomycetes for various biotechnological applications.

microbiology↗