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Laufens, M.

Publications and source records attributed to Laufens, M..

2 recordsLinked to original sources

AlphaFold 3 captures oligomeric states and interaction dynamics of MLO ion channels

Mildew resistance Locus O (MLO) proteins have been originally identified as susceptibility factors for the fungal powdery mildew disease. Beyond immunity, they function in polarized secretion, including root and root hair elongation, trichome development, and fertilization. Moreover, MLO proteins mediate Ca{superscript 2} influx, either indirectly by recruiting Ca{superscript 2}-permeable channels to the plasma membrane or by acting as ion channels themselves. The latter raises the question of whether MLO proteins oligomerize to mediate ion transport across membranes. Here, we present an AlphaFold 3-based modeling pipeline for the reproducible assessment of MLO-containing protein complexes using AlphaFolds built-in confidence metrics together with structural and dynamic analyses. The resulting predictions for homo-oligomers of the prototypic barley Mlo support dimeric and trimeric assemblies, with the trimer forming a central membrane-spanning pore. Notably, AlphaFold 3 captured discrete conformational states of this trimer, as reflected by the clustering of confidence metrics. Computational structural analyses indicated that higher-confidence models adopt a closed pore conformation, whereas lower-confidence predictions reflect progressively expanding pore diameters. Molecular dynamics simulations further showed Ca{superscript 2} permeability of the putative open models. Our pipeline similarly predicts trimeric assemblies for MLO variants from Arabidopsis thaliana and Marchantia polymorpha, suggesting a conserved MLO structural scaffold within the land plant lineage. Additional Molecular Dynamics simulations revealed that closed models of barley Mlo and A. thaliana MLO2 open under simulated membrane tension, supporting the notion that MLO proteins are mechanosensitive ion channels. Moreover, predictions of MLO proteins with its known interactors, EF-hand proteins and exocyst complex subunit EXO70 proteins, suggest a mechanism for feedback inhibition of MLO-mediated ion flux and provide comprehensive experimental support for AlphaFold 3-predicted protein interfaces. Altogether, our results provide a structural framework for MLO channel architecture and regulation, while our prediction, modeling, and simulation pipeline should be useful beyond the study of this specific protein family. One-sentence summaryThis article describes AlphaFold 3-based analyses of MLO proteins, revealing the predicted structure of MLO membrane pores, their dynamic opening and closing, and their association with interacting proteins, including calmodulin and calmodulin-like calcium sensor proteins and exocyst complex subunit EXO70 proteins.

plant biology↗

Engineering S. cerevisiae extracellular vesicles using synthetic biology

Extracellular vesicles (EVs) hold great promise as therapeutic delivery vehicles, leveraging their natural role as mediators of intercellular communication in all organisms studied. However, many barriers must be overcome to realize their full potential. Saccharomyces cerevisiae is an attractive chassis organism to explore solutions: It is used for drug biomanufacturing, it is amenable to complex genetic engineering, and their EVs can drive responses in human cells. To further develop this prospect, we sought to genetically modify S. cerevisiae EVs by devising a research framework amenable to iterative design, build, test, learn cycles - a core principle of synthetic biology. Using this approach, we focused on identifying new scaffolds - proteins that load cargoes into EVs - from a small pool of candidates. We first optimized a modular cloning strategy, called "EVclo", for plasmid and genome-integrated candidate gene expression. Candidate genes were fused to EGFP, and after confirming expression in cells, we showed that scaffold-EFGP proteins colocalized with mRuby2-tagged Nhx1, a biomarker of multivesicular bodies, presumed sites of EV biogenesis. We triggered release of EVs by heat stress, isolated these EVs by ultrafiltration and size exclusion chromatography, and confirmed the presence of exosome-sized EVs in all samples. We find that candidate scaffold proteins did not affect EV size, morphology or titers. Further analysis of these samples indicated that some EGFP-tagged scaffolds are present in EVs: Bro1, a yeast ortholog of ALIX, was most abundant and ExoSignal showed highest enrichment of the human candidates. In all, we conclude that Bro1 is a good scaffold for future engineering strategies, and that human proteins can be sorted into yeast EVs suggesting conservation of the sorting machinery and demonstrating that yeast EVs can be humanized. This synthetic biology-based, proof-of-concept study establishes S. cerevisiae as a platform to engineer and bioproduce designer EVs for many applications. GRAPHICAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=167 HEIGHT=200 SRC="FIGDIR/small/710173v1_ufig1.gif" ALT="Figure 1"> View larger version (52K): org.highwire.dtl.DTLVardef@15d407corg.highwire.dtl.DTLVardef@134c916org.highwire.dtl.DTLVardef@7de2beorg.highwire.dtl.DTLVardef@b15348_HPS_FORMAT_FIGEXP M_FIG C_FIG HIGHLIGHTS AND TOC BLURBO_LIsynthetic biology-based system was optimized to engineer EVs in S. cerevisiae C_LIO_LIEV scaffolds can be sorted to yeast EVs C_LIO_LIis an efficient scaffold to sort proteins into yeast EVs C_LIO_LIS. cerevisiae can be used to engineer designer EVs for drug delivery C_LI Extracellular vesicles (EVs) are a promising new modality for drug delivery. However, designer EVs must be engineered to broaden applications and improve efficacy. Here, Bouffard et al. optimize methods rooted in synthetic biology to genetically engineer EVs in S. cerevisiae, a yeast commonly used to manufacture biological drugs. They find that ectopically expressed human EV scaffolds (CD63, ExoSignal, PDGFR) can be sorted to yeast EVs, but Bro1 - the yeast ortholog of ALIX - was most efficient at sorting GFP into EVs. This proof-of-concept study demonstrates a single DBTL (design-build-test-learn) cycle that can be used to develop designer EVs for therapeutic applications.

synthetic biology↗