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Biology subjects

Steffen, F. D.

Publications and source records attributed to Steffen, F. D..

3 recordsLinked to original sources

FRET-guided integrative modeling resolves Mg2+-dependent RNA tertiary-contact formation

Tertiary contact interactions between GNRA tetraloops and their receptors are recurrent motifs that stabilize complex RNA folds and in the context of ribosome biogenesis contribute to ribosomal subunit maturation. High-resolution structure determination methods typically yield single structural snapshots, which may not fully describe the conformational collection populated by such contacts in solution. Here, we investigate a ribosomal RNA tertiary contact formed by a GAAA tetraloop and a kissing loop acting as its receptor using single-molecule FRET-guided integrative modeling. We used a minimal RNA model construct in which the tetraloop and its kissing loop receptor are connected by flexible poly(A)-linkers, assembled its bound state from the native ribosomal cryo-EM geometry, and combined restrained and unrestrained all-atom molecular dynamics simulations with in silico FRET and dynamic fluorescence anisotropy predictions to compare with the respective experiments under varying salt conditions. The modeled bound state matches the smFRET distribution only at non-physiologically high Mg2+ concentrations. At 10 mM Mg2+, however, the single-molecule FRET distribution remains heterogeneous and is reproduced by mixtures of bound and unbound conformations, indicating their coexistence under intermediate Mg2+ conditions. Thus, smFRET-guided integrative modeling resolves subpopulations invisible to static high-resolution structures and ensemble FRET, providing a route to validate and refine RNA structural models and conformational ensembles in solution.

biophysics↗

Fractal: Towards FAIR bioimage analysis at scale with OME-Zarr-native workflows

The rapid growth in microscopy data volume, dimensionality, and diversity urgently calls for scalable and reproducible analysis frameworks. While efforts on the open OME-Zarr format have helped standardize the storage of large microscopy datasets, solutions for standardized processing are still lacking. Here, we introduce two complementary contributions to address this gap: 1) the Fractal task specification, defining OME-Zarr processing units that can interoperate across computational environments and workflow engines, and 2) the Fractal platform, using this specification to enable scalable and modular OME-Zarr-native analysis workflows. We demonstrate their use across diverse biological research data, including terabyte-scale multiplexed, volumetric, and time-lapse imaging. In a clinical setting, we show that Fractal workflows achieve near-identical quantification of millions of cells across independent deployments, demonstrating the reproducibility required for translational applications. With its growing community of contributors, the Fractal ecosystem provides a foundation for FAIR microscopy image analysis relying on open file formats.

bioinformatics↗

FRET-guided modeling of nucleic acids

The functional diversity of RNA is encoded in their innate conformational heterogeneity. The combination of single-molecule spectroscopy and computational modeling offers new, attractive opportunities to map structural transitions within nucleic acid ensembles. Here, we describe a framework to harmonize single-molecule FRET measurements with molecular dynamics simulations and de novo structure prediction. Using either all-atom or implicit fluorophore modeling we recreate FRET experiments in silico, visualize the underlying structural dynamics and quantify the simulated reaction coordinates. Using multiple accessible-contact volumes (multi-ACV) as a post-hoc scoring method for fragment-assembly in Rosetta, we demonstrate that FRET effectively refines de novo RNA structure prediction without the need of explicit dye labeling. We benchmark our FRET-assisted modeling approach on double-labeled DNA strands and validate it against an intrinsically dynamic manganese(II)-binding riboswitch. We show that a FRET coordinate describing the assembly of a four-way junction allows our pipeline to recapitulate the global fold of the riboswitch with sub-helical accuracy to the crystal structure. We conclude that computational fluorescence spectroscopy facilitates the interpretability of dynamic structural ensembles and improves the mechanistic understanding of nucleic acid interactions. Graphical abstractSchematic workflow of integrative FRET modeling using all-atom fluorophores or an accessible-contact volume dye model. All-atom molecular dynamics track the dye coordinate explicitly as part of the simulation while multi-ACV infer mean dye positions post hoc. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=150 SRC="FIGDIR/small/552238v1_ufig1.gif" ALT="Figure 1"> View larger version (81K): org.highwire.dtl.DTLVardef@122bdf7org.highwire.dtl.DTLVardef@1e5c06forg.highwire.dtl.DTLVardef@bcc3aaorg.highwire.dtl.DTLVardef@d205ab_HPS_FORMAT_FIGEXP M_FIG C_FIG

biophysics↗