Dataset Information

Direct Target Site Identification of a Sulfonyl-Triazole Covalent Kinase Probe by LC-MS Chemical Proteomics.

ABSTRACT: Chemical proteomics is widely used for the global investigation of protein activity and binding of small molecule ligands. Covalent probe binding and inhibition are assessed using liquid chromatography-tandem mass spectrometry (LC-MS/MS) to gain molecular information on targeted proteins and probe-modified sites. The identification of amino acid sites modified by large complex probes, however, is particularly challenging because of the increased size, hydrophobicity, and charge state of peptides derived from modified proteins. These studies are important for direct evaluation of proteome-wide selectivity of inhibitor scaffolds used to develop targeted covalent inhibitors. Here, we disclose reverse-phase chromatography and MS dissociation conditions tailored for binding site identification using a clickable covalent kinase inhibitor containing a sulfonyl-triazole reactive group (KY-26). We applied this LC-MS/MS strategy to identify tyrosine and lysine sites modified by KY-26 in functional sites of kinases and other ATP-/NAD-binding proteins (>65 in total) in live cells. Our studies revealed key bioanalytical conditions to guide future chemical proteomic workflows for direct target site identification of complex irreversible probes and inhibitors.

SUBMITTER: McCloud RL

PROVIDER: S-EPMC8592385 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Direct Target Site Identification of a Sulfonyl-Triazole Covalent Kinase Probe by LC-MS Chemical Proteomics.

McCloud Rebecca L RL Yuan Kun K Mahoney Keira E KE Bai Dina L DL Shabanowitz Jeffrey J Ross Mark M MM Hunt Donald F DF Hsu Ku-Lung KL

Analytical chemistry 20210825 35

Chemical proteomics is widely used for the global investigation of protein activity and binding of small molecule ligands. Covalent probe binding and inhibition are assessed using liquid chromatography-tandem mass spectrometry (LC-MS/MS) to gain molecular information on targeted proteins and probe-modified sites. The identification of amino acid sites modified by large complex probes, however, is particularly challenging because of the increased size, hydrophobicity, and charge state of peptides ...[more]

PMID: 34431655

Similar Datasets

Project description:Highly specialized cells are fundamental for proper functioning of complex organs. Variations in cell-type specific gene expression and protein composition have been linked to a variety of diseases. Although single cell technologies have emerged as valuable tools to address this cellular heterogeneity, a majority of these workflows lack sufficient in situ resolution for functional classification of cells and are associated with extremely long analysis time, especially when it comes to in situ proteomics. In addition, lack of understanding of single cell dynamics within their native environment limits our ability to explore the altered physiology in disease development. This limitation is particularly relevant in the mammalian brain, where different cell types perform unique functions and exhibit varying sensitivities to insults. The hippocampus, a brain region crucial for learning and memory, is of particular interest due to its obvious involvement in various neurological disorders. Here, we present a combination of experimental and data integration approaches for investigation of cellular heterogeneity and functional disposition within the mouse brain hippocampus using MALDI Imaging mass spectrometry (MALDI-IMS) and shotgun proteomics (LC-MS/MS) coupled with laser-capture microdissection (LCM) along with spatial transcriptomics. Within the dentate gyrus granule cells we identified two proteomically distinct cellular subpopulations that are characterized by a substantial number of discriminative proteins. These cellular clusters contribute to the overall functionality of the dentate gyrus by regulating redox homeostasis, mitochondrial organization, RNA processing, and microtubule organization. Importantly, most of the identified proteins matched their transcripts, verifying the in situ protein identification and supporting their functional analyses. By combining high-throughput spatial proteomics with transcriptomics, our approach enables reliable near-single-cell scale identification of proteins and profiling of inter-cellular heterogeneity within similar cell-types in tissues. This methodology has the potential to be applied to different biological conditions and tissues, providing a deeper understanding of cellular subpopulations in situ.

Dataset Information

Direct Target Site Identification of a Sulfonyl-Triazole Covalent Kinase Probe by LC-MS Chemical Proteomics.

Publications

Direct Target Site Identification of a Sulfonyl-Triazole Covalent Kinase Probe by LC-MS Chemical Proteomics.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets