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A chemical proteomic atlas of brain serine hydrolases identifies cell type-specific pathways regulating neuroinflammation.

ABSTRACT: Metabolic specialization among major brain cell types is central to nervous system function and determined in large part by the cellular distribution of enzymes. Serine hydrolases are a diverse enzyme class that plays fundamental roles in CNS metabolism and signaling. Here, we perform an activity-based proteomic analysis of primary mouse neurons, astrocytes, and microglia to furnish a global portrait of the cellular anatomy of serine hydrolases in the brain. We uncover compelling evidence for the cellular compartmentalization of key chemical transmission pathways, including the functional segregation of endocannabinoid (eCB) biosynthetic enzymes diacylglycerol lipase-alpha (DAGL?) and -beta (DAGL?) to neurons and microglia, respectively. Disruption of DAGL? perturbed eCB-eicosanoid crosstalk specifically in microglia and suppressed neuroinflammatory events in vivo independently of broader effects on eCB content. Mapping the cellular distribution of metabolic enzymes thus identifies pathways for regulating specialized inflammatory responses in the brain while avoiding global alterations in CNS function.

SUBMITTER: Viader A

PROVIDER: S-EPMC4737654 | biostudies-literature | 2016 Jan

REPOSITORIES: biostudies-literature

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A Superfamily-wide Activity Atlas of Serine Hydrolases in <i>Drosophila melanogaster</i>.

Project description:The serine hydrolase (SH) superfamily is, perhaps, one of the largest functional enzyme classes in all forms of life and consists of proteases, peptidases, lipases, and carboxylesterases as representative members. Consistent with the name of this superfamily, all members, without any exception to date, use a nucleophilic serine residue in the enzyme active site to perform hydrolytic-type reactions via a two-step ping-pong mechanism involving a covalent enzyme intermediate. Given the highly conserved catalytic mechanism, this superfamily has served as a classical prototype in the development of several platforms of chemical proteomics techniques, activity-based protein profiling (ABPP), to globally interrogate the functions of its different members in various native, yet complex, biological settings. While ABPP-based proteome-wide activity atlases for SH activities are available in numerous organisms, including humans, to the best of our knowledge, such an analysis for this superfamily is lacking in any insect model. To address this, we initially report a bioinformatics analysis toward the identification and categorization of nonredundant SHs in Drosophila melanogaster. Following up on this in silico analysis, leveraging discovery chemoproteomics, we identify and globally map the full complement of SH activities during various developmental stages and in different adult tissues of Drosophila. Finally, as a proof of concept of the utility of this activity atlas, we highlight sexual dimorphism in SH activities across different tissues in adult D. melanogaster, and we propose new research directions, resources, and tools that this study can provide to the fly community.

| S-EPMC7610703 | biostudies-literature

Chemical Proteomic Analysis of Serine Hydrolase Activity in Niemann-Pick Type C Mouse Brain.

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A SUPERFAMILY-WIDE ACTIVITY ATLAS OF SERINE HYDROLASES IN DROSOPHILA MELANOGASTER

Project description:The serine hydrolase (SH) superfamily is perhaps, one of the largest functional enzyme classes in all forms of life, and consists of proteases/peptidases, lipases, and carboxylesterases as representative members. Consistent with the name of this superfamily, all members, without any exception to date, use a nucleophilic serine residue in the enzyme active site to perform hydrolytic-type reactions via a two-step ping-pong mechanism involving a covalent enzyme intermediate. Given the highly conserved catalytic mechanism, this superfamily has served as a classical prototype in the development of several platforms of the chemical proteomics technique, activity-based protein profiling (ABPP), to globally interrogate the functions of its different members in various native, yet complex, biological settings. While ABPP-based proteome-wide activity atlas’ for SH activities are available in numerous organisms, including humans, to the best of our knowledge, such an analysis for this superfamily is lacking in any insect model. To address this, here, we first report a bioinformatics analysis towards the identification and classification of non-redundant SHs in Drosophila melanogaster. Following up on this in silico analysis, leveraging discovery chemoproteomics, we identify and globally map the activities of the SH superfamily during various developmental stages and in different adult tissues of Drosophila. Finally, as proof of concept of the utility of this activity atlas, we highlight sexual dimorphism in SH activities across different tissues in adult Drosophila melanogaster, and together, we prospect new research directions, resources and tools that this study can provide to the fly community.

2021-04-08 | PXD024321 | Pride

A proteomic atlas of the neointima identifies novel druggable targets for preventive therapy.

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