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Matera, A.

Publications and source records attributed to Matera, A..

2 recordsLinked to original sources

Stability engineering of sucrose synthase for robust UDP-glucose regeneration

Glycosyltransferase-driven glycosylation enables environmentally mild synthesis of high-value chemicals, but industrial implementation is constrained by the cost of UDP-glucose. Sucrose synthase (SuSy) offers an attractive route for UDP-glucose recycling, yet inadequate operational stability has limited its use. Here, we report an integrated engineering workflow that overcomes the longstanding trade-off between efficiency and robustness in glycosyl donor recycling enzymes. We engineered GmSuSy wild-type and obtained variants combining supra-wildtype activity (178%) with enhanced thermostability ({Delta}Tmapp = 13.3 {degrees}C), solvent tolerance (70% retained activity in 25% DMSO) and a 123-fold longer half-life. The variants achieved total turnover numbers of [~]1 million (60 {degrees}C), supporting their industrial relevance. Mechanistic analyses revealed that long-range residue communication networks couple oligomeric interfaces with active sites, shifting conformational populations toward stable, catalytically competent states while increasing hydrophobic packing and reducing solvent accessibility. This enhanced robustness enabled significant process-level gains, including >90% conversion yields in indoxyl and MANT glycosylation. Techno-economic and life-cycle assessments indicate the potential to halve reaction costs and reduce environmental impacts threefold, establishing SuSy robustness as a key lever for sustainable industrial glycosylation.

biochemistry↗

Genotypic identification of polyclonal plasma cells in plasma cell dyscrasias shows an aberrant single-cell phenotype with clinical implications

Multiple Myeloma (MM) is driven by clonal plasma cell (PC)-intrinsic factors and changes in the tumorigenic microenvironment (TME). To investigate if residual polyclonal PCs (pPCs) are disrupted, single-cell (sc) RNAseq and sc B-cell receptor analysis were applied in a cohort of 46 samples with PC dyscrasias and 18 healthy donors (HDs). Out of n=213,074 CD138pos PCs, 42,717 were genotypically identified as pPCs. Compared to HDs, we detected quantitative and qualitative differences in pPCs of patients showing immunoparesis, where we showed a pro-inflammatory status, driven by specific cellular interactions with TME. Finally, we derived a "hPC signature" that, once inferred in the CoMMpass dataset, was predictive of PFS and OS. Our findings show that genotypic, single-cell identification of pPCs in PC dyscrasias has relevant pathogenic and clinical implications.

cancer biology↗