AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
We have 3 of 37 papers
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
Activity-based chemical proteomics uncovers unexpected covalent targets of E64d and reveals a role for cysteine cathepsins in PLD3 proteostasis
Catalytic activity of 5′-3′ exonuclease Phospholipase D3 (PLD3) is associated with immune signaling and neurodegeneration including Alzheimer’s disease. PLD3 undergoes multiple post-translational modifications and proteolytic cleavage to establish its catalytically active form. However, the proteases catalyzing the cleavage of PLD3 have remained unidentified. To study the proteolytic cleavage of PLD3, we have evaluated the small molecule covalent inhibitor E64d that blocks proteolysis catalyzed by cysteine cathepsins. To validate the selectivity of E64d, we have designed and synthetized an E64d propargyl analogue and carried out a detailed activity-based protein profiling to reveal a broad engagement of the compound with other protein targets including bleomycin hydrolase (BLMH), Kelch-like ECH-associated protein 1 (KEAP1), transcription elongation factor SPT5 (SUPT5H) and asparagine synthetase (ASNS). The specificity of the E64d-protein interactions was confirmed by biochemical assays and mass spectrometry-based site identifications. In neurons, treatment with E64d lead to about 50-fold PLD3 accumulation and dysregulation of its proteolytic cleavage, while there was only a minor overall change on the whole proteome level. Taken together, this study provides insights into previously unknown E64d selectivity and renders cysteine cathepsins responsible for PLD3 degradation in neurons. It highlights the importance of cysteine cathepsins activity in neuronal lysosomes for proper PLD3 processing and hence it suggests that their activation might be responsible for decreased PLD3 levels in neurons of patients with Alzheimer’s diseases. These findings are key for further elucidation of PLD3 function in neurodegenerative diseases.
A Scalable and Robust Workflow for Cost-Effective Post-Translational Modifications Profiling by Chemical Proteomics
Mass spectrometry-based chemical proteomics is a powerful method to analyze proteins labelled by small molecules to identify protein targets of active compounds and to profile protein post-translational modifications. The throughput and high protein input for chemical proteomics workflows has been often a limiting factor for application of the technology for specialized and difficult to culture cell lines. The high protein input was necessary to gain significant difference of noise to signal ratio in proteomics readout. Here, we describe a general chemical proteomics workflow, which is performed in 96-well plate and necessitate only 25 μg of protein input to profile post-translationally modified proteins including abundant O-GlcNAcylated proteins as well as low abundant AMPylated proteins. The workflow integrates advances in Cu(I)-catalyzed azide-alkyne cycloaddition to minimize chemical side-reactivity of the ‘click reaction’ and data-independent acquisition mode during LC-MS/MS measurement. An iterative optimization of protein clean-up on carboxylate-coated paramagnetic beads led to significant saving of the beads usage and lowers the unspecific protein background that resulted in sensitivity gain.