Functionalizing tandem mass tags for streamlining click-based quantitative chemoproteomics

COMMUNICATIONS CHEMISTRY(2024)

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摘要
Mapping the ligandability or potential druggability of all proteins in the human proteome is a central goal of mass spectrometry-based covalent chemoproteomics. Achieving this ambitious objective requires high throughput and high coverage sample preparation and liquid chromatography-tandem mass spectrometry analysis for hundreds to thousands of reactive compounds and chemical probes. Conducting chemoproteomic screens at this scale benefits from technical innovations that achieve increased sample throughput. Here we realize this vision by establishing the silane-based cleavable linkers for isotopically-labeled proteomics-tandem mass tag (sCIP-TMT) proteomic platform, which is distinguished by early sample pooling that increases sample preparation throughput. sCIP-TMT pairs a custom click-compatible sCIP capture reagent that is readily functionalized in high yield with commercially available TMT reagents. Synthesis and benchmarking of a 10-plex set of sCIP-TMT reveal a substantial decrease in sample preparation time together with high coverage and high accuracy quantification. By screening a focused set of four cysteine-reactive electrophiles, we demonstrate the utility of sCIP-TMT for chemoproteomic target hunting, identifying 789 total liganded cysteines. Distinguished by its compatibility with established enrichment and quantification protocols, we expect sCIP-TMT will readily translate to a wide range of covalent chemoproteomic applications. Mass spectrometry-based quantitative chemoproteomics is widely used for the identification of protein targets as well as modified residues, however, sample preparation and data analysis remain tedious. Here, the authors develop silane-based cleavable linkers functionalized tandem mass tags as click-compatible isobaric tags, introducing the isobaric label earlier in sample preparation, achieving decreased sample preparation time, with high coverage and high-accuracy quantification.
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