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Hollenstein, D.

Publications and source records attributed to Hollenstein, D..

2 recordsLinked to original sources

Myopathy-causing variants of PYROXD1 converge on impaired RNA ligation

RNA ligation is critical for RNA processing pathways including pre-tRNA splicing. RTCB is the only essential RNA ligase in humans and the catalytic subunit of the tRNA ligase complex (tRNA-LC). Its active site is sensitive to oxidation and strictly depends on oxidoreductase PYROXD1, the only tRNA-LC subunit with multiple known pathogenic protein-coding variants. The role of RNA ligation in PYROXD1 myopathy remained contentious: loss of PYROXD1 primarily affects mitochondria, and ligation-linked readouts are inconsistent in existing assays. Here, we reveal that PYROXD1 is physically, genetically and functionally committed to the tRNA-LC. Selectively impairing RTCB activation reproduces hallmarks of PYROXD1 dysfunction, including mitochondrial deregulation. Using degron-based depletion of endogenous PYROXD1, we show that all six single amino acid variants reported in patients fail to sustain RNA ligation in proportion to their clinical severity. The variants segregate into three mechanistic classes: they lower protein stability, disrupt the NADPH-mediated conformational switch, or impair RTCB engagement by the C-terminal tail, a sequence unique to PYROXD1 and directly affected in the most severe variant D500N. Variant-level measurements in the degron model predict outcomes in homozygous and compound heterozygous patient fibroblasts. Together, these data establish impaired RNA ligation as the driver of PYROXD1 pathogenicity.

biochemistry↗

A DIA-based quantitative crosslinking mass spectrometryframework for dynamic structural proteomics

Proteins undergo dynamic conformational rearrangements and interactions that are central to their biological functions. Quantitative crosslinking mass spectrometry enables the analysis of those dynamics and molecular interactions, but rigorous confidence assessment and empirical validation strategies for quantitative measurements remain underdeveloped, and integrated analysis of complementary structural features, including monolinks and protein-RNA adducts, remains limited. Here we present a data-independent acquisition (DIA)-based framework for quantitative crosslinking mass spectrometry (DIA-QCLMS) that combines optimized acquisition strategies, crosslink-aware spectral libraries and empirical false-discovery-rate (FDR) validation. The workflow supports crosslinks, monolinks and protein-RNA adducts and integrates spectral-library generation from two crosslinking search engines (xiSEARCH and MS Annika). To enable robust confidence assessment in DIA data, we developed a four-state target-decoy spectral library strategy that explicitly models target-target, target-decoy, decoy-target and decoy-decoy crosslink spectra. Experimental entrapment datasets enabled empirical validation of confidence estimation, whereas benchmarking with PhoX-crosslinked Cas9 demonstrated improved quantitative completeness and reproducibility compared with data-dependent acquisition. Application of the workflow to the ATP-dependent RNA helicase UAP56 (DDX39B) resolved ligand-dependent changes in intramolecular restraints, residue accessibility and candidate RNA-contact sites associated with the transition from an open to a clamped conformation. These results establish DIA-QCLMS as a scalable framework for quantitative structural proteomics and provide practical strategies for confidence-controlled analysis of dynamic protein interactions and conformational states.

biochemistry↗