Literature DB >> 33827210

A Superfamily-wide Activity Atlas of Serine Hydrolases in Drosophila melanogaster.

Kundan Kumar1, Amol Mhetre1, Girish S Ratnaparkhi1, Siddhesh S Kamat1.   

Abstract

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.

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Year:  2021        PMID: 33827210      PMCID: PMC7610703          DOI: 10.1021/acs.biochem.1c00171

Source DB:  PubMed          Journal:  Biochemistry        ISSN: 0006-2960            Impact factor:   3.162


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