Activity-Based Protein Profiling Identifies Protein Disulfide-Isomerases as Target Proteins of the Volatile Salinilactones.
Karoline JeryeHelko LükenAnika SteffenChristian SchlawisLothar JänschStefan SchulzMark BrönstrupPublished in: Advanced science (Weinheim, Baden-Wurttemberg, Germany) (2024)
The salinilactones, volatile marine natural products secreted from Salinispora arenicola, feature a unique [3.1.0]-lactone ring system and cytotoxic activities through a hitherto unknown mechanism. To find their molecular target, an activity-based protein profiling with a salinilactone-derived probe is applied that disclosed the protein disulfide-isomerases (PDIs) as the dominant mammalian targets of salinilactones, and thioredoxin (TRX1) as secondary target. The inhibition of protein disulfide-isomerase A1 (PDIA1) and TRX1 is confirmed by biochemical assays with recombinant proteins, showing that (1S,5R)-salinilactone B is more potent than its (1R,5S)-configured enantiomer. The salinilactones bound covalently to C53 and C397, the catalytically active cysteines of the isoform PDIA1 according to tandem mass spectrometry. Reactions with a model substrate demonstrated that the cyclopropyl group is opened by an attack of the thiol at C6. Fluorophore labeling experiments showed the cell permeability of a salinilactone-BODIPY (dipyrrometheneboron difluoride) conjugate and its co-localization with PDIs in the endoplasmic reticulum. The study is one of the first to pinpoint a molecular target for a volatile microbial natural product, and it demonstrates that salinilactones can achieve high selectivity despite their small size and intrinsic reactivity.
Keyphrases
- amino acid
- protein protein
- tandem mass spectrometry
- gas chromatography
- endoplasmic reticulum
- single cell
- microbial community
- high resolution
- high throughput
- high performance liquid chromatography
- cell therapy
- mesenchymal stem cells
- cancer therapy
- genome wide
- dna methylation
- drug delivery
- living cells
- simultaneous determination
- small molecule
- deep learning
- bone marrow
- structural basis