Dataset Information

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

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 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.

INSTRUMENT(S): TripleTOF 6600

ORGANISM(S): Drosophila Melanogaster (fruit Fly)

SUBMITTER: Siddhesh Kamat

LAB HEAD: Siddhesh S. Kamat

PROVIDER: PXD024321 | Pride | 2021-04-08

REPOSITORIES: Pride

ACCESS DATA

Dataset's files

Source:

			Action	DRS
	Embryo_membrane_1.group	Other
	Embryo_membrane_1.wiff	Wiff
	Embryo_membrane_1.wiff.scan	Wiff
	Embryo_membrane_2.group	Other
	Embryo_membrane_2.wiff	Wiff

Items per page:

1 - 5 of 217

Similar Datasets

Project description:Background - Strongyloidiasis is a neglected tropical disease affecting an estimated 600 million people, particularly in resource-limited settings. The infection can persist lifelong due to Strongyloides stercoralis peculiar auto-infective cycle. The cumbersome diagnosis and the limited knowledge of the mechanisms underpinning this chronic infection are key issues in the disease management. To date, only a few proteomics studies have been conducted to elucidate the molecular mechanisms associated with Strongyloides parasitism or to highlight novel immunological markers and our knowledge of S. stercoralis proteome still limited. Methods - S. stercoralis infective larvae (iL3) we isolated from a faecal sample from an infected subject and analysed by high-throughput tandem mass spectrometry. To achieve a more comprehensive characterisation of iL3 proteome the experimental dataset was analysed through an automatic search strategy combined with manual annotation, which included gene ontology (GO) analysis, InterPro annotation, assessment of the homology with Homo sapiens and other pathogens of clinical importance and B-cell epitope prediction. Results – Our pipeline identified 430 S. stercoralis proteins, 187 (43%) of which corresponded to uncharacterized proteins. Oxidoreductases and peptidases were amongst the most represented protein categories as highlighted by GO analyses (molecular function terms); while membrane and mitochondrial proteins were the most represented cellular component GO categories. In our dataset we also identified a high proportion of proteins bearing CAP, SCP or thioredoxin domain or belonging to cysteine-rich secretory, transthyretin-like or peptidase protein families, confirming previous data on the most represented proteins associated with S. stercoralis parasitism, as inferred from genomic and transcriptomic data. Finally, we also highlighted 9 proteins bearing amino acid sequences with immunogenic properties that might represent novel candidates for serological tests. Conclusions – Here we provide a comprehensive description and annotation of S. stercoralis iL3 proteome and propose some proteins as potentially immunogenic, to be evaluated as novel serological diagnostic markers. In order to highlight novel targets to improve current serodiagnosis and treatment, it is in fact fundamental to expand the molecular understanding derived from ‘omics studies beyond the current state of the art.

Dataset Information

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

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets