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      Activity-based protein profiling of serine hydrolases and penicillin-binding proteins in Enterococcus faecium

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          Abstract

          Enterococcus faecium is a gut commensal bacterium which is gaining increasing relevance as an opportunistic, nosocomial pathogen. Its high level of intrinsic and acquired antimicrobial resistance is causing a lack of treatment options, particularly for infections with vancomycin-resistant strains, and prioritizes the identification and functional validation of novel druggable targets. Here, we use activity-based protein profiling (ABPP), a chemoproteomics approach using functionalized covalent inhibitors, to detect active serine hydrolases across 11 E. faecium and Enterococcus lactis strains. Serine hydrolases are a big and diverse enzyme family, that includes known drug targets such as penicillin-binding proteins (PBPs), whereas other subfamilies are underexplored. Comparative gel-based ABPP using Bocillin-FL revealed strain- and growth condition-dependent variations in PBP activities. Profiling with the broadly serine hydrolase-reactive fluorescent probe fluorophosphonate-TMR showed a high similarity across E. faecium clade A1 strains, but higher variation across A2 and E. lactis strains. To identify these serine hydrolases, we used a biotinylated probe analog allowing for enrichment and identification via liquid chromatography–mass spectrometry. We identified 11 largely uncharacterized targets (α,β-hydrolases, SGNH-hydrolases, phospholipases, and amidases, peptidases) that are druggable and accessible in live vancomycin-resistant E. faecium E745 and may possess vital functions that are to be characterized in future studies.

          Abstract

          Using a chemical proteomics approach we compared enzyme activity profiles across different Enterococcus faecium strains and growth conditions and identified 11 largely uncharacterized enzymes.

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          A new approach to rapid sequence comparison, basic local alignment search tool (BLAST), directly approximates alignments that optimize a measure of local similarity, the maximal segment pair (MSP) score. Recent mathematical results on the stochastic properties of MSP scores allow an analysis of the performance of this method as well as the statistical significance of alignments it generates. The basic algorithm is simple and robust; it can be implemented in a number of ways and applied in a variety of contexts including straightforward DNA and protein sequence database searches, motif searches, gene identification searches, and in the analysis of multiple regions of similarity in long DNA sequences. In addition to its flexibility and tractability to mathematical analysis, BLAST is an order of magnitude faster than existing sequence comparison tools of comparable sensitivity.
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            The PRIDE database resources in 2022: a hub for mass spectrometry-based proteomics evidences

            The PRoteomics IDEntifications (PRIDE) database ( https://www.ebi.ac.uk/pride/ ) is the world's largest data repository of mass spectrometry-based proteomics data. PRIDE is one of the founding members of the global ProteomeXchange (PX) consortium and an ELIXIR core data resource. In this manuscript, we summarize the developments in PRIDE resources and related tools since the previous update manuscript was published in Nucleic Acids Research in 2019. The number of submitted datasets to PRIDE Archive (the archival component of PRIDE) has reached on average around 500 datasets per month during 2021. In addition to continuous improvements in PRIDE Archive data pipelines and infrastructure, the PRIDE Spectra Archive has been developed to provide direct access to the submitted mass spectra using Universal Spectrum Identifiers. As a key point, the file format MAGE-TAB for proteomics has been developed to enable the improvement of sample metadata annotation. Additionally, the resource PRIDE Peptidome provides access to aggregated peptide/protein evidences across PRIDE Archive. Furthermore, we will describe how PRIDE has increased its efforts to reuse and disseminate high-quality proteomics data into other added-value resources such as UniProt, Ensembl and Expression Atlas.
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              InterPro in 2022

              The InterPro database ( https://www.ebi.ac.uk/interpro/ ) provides an integrative classification of protein sequences into families, and identifies functionally important domains and conserved sites. Here, we report recent developments with InterPro (version 90.0) and its associated software, including updates to data content and to the website. These developments extend and enrich the information provided by InterPro, and provide a more user friendly access to the data. Additionally, we have worked on adding Pfam website features to the InterPro website, as the Pfam website will be retired in late 2022. We also show that InterPro's sequence coverage has kept pace with the growth of UniProtKB. Moreover, we report the development of a card game as a method of engaging the non-scientific community. Finally, we discuss the benefits and challenges brought by the use of artificial intelligence for protein structure prediction.
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                Author and article information

                Contributors
                Journal
                FEMS Microbes
                FEMS Microbes
                femsmicrobes
                FEMS Microbes
                Oxford University Press
                2633-6685
                2024
                15 May 2024
                15 May 2024
                : 5
                : xtae015
                Affiliations
                Research Group for Host-Microbe Interactions, Department of Medical Biology, UiT – The Arctic University of Norway , Postboks 6050 Langnes, 9037 Tromsø, Norway
                Centre for New Antibacterial Strategies (CANS), UiT – The Arctic University of Norway , Postboks 6050 Langnes, 9037 Tromsø, Norway
                Research Group for Host-Microbe Interactions, Department of Medical Biology, UiT – The Arctic University of Norway , Postboks 6050 Langnes, 9037 Tromsø, Norway
                Centre for New Antibacterial Strategies (CANS), UiT – The Arctic University of Norway , Postboks 6050 Langnes, 9037 Tromsø, Norway
                Norwegian National Advisory Unit on Detection of Antimicrobial Resistance, Department of Microbiology and Infection Control, University Hospital of North Norway , P.O. Box 56, 9038 Tromsø, Norway
                Research Group for Host-Microbe Interactions, Department of Medical Biology, UiT – The Arctic University of Norway , Postboks 6050 Langnes, 9037 Tromsø, Norway
                Centre for New Antibacterial Strategies (CANS), UiT – The Arctic University of Norway , Postboks 6050 Langnes, 9037 Tromsø, Norway
                Author notes
                Corresponding author. Research Group for Host-Microbe Interactions, Department of Medical Biology, UiT – The Arctic University of Norway, Hansine Hansens veg 18, 9019 Tromsø, Norway. E-mail: christian.s.lentz@ 123456uit.no
                Author information
                https://orcid.org/0000-0002-1314-0497
                https://orcid.org/0000-0001-7284-2264
                Article
                xtae015
                10.1093/femsmc/xtae015
                11134295
                38813097
                6433b8de-a671-4657-b287-edb12047a889
                © The Author(s) 2024. Published by Oxford University Press on behalf of FEMS.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@ 123456oup.com

                History
                : 26 January 2024
                : 18 April 2024
                : 14 May 2024
                : 29 May 2024
                Page count
                Pages: 10
                Funding
                Funded by: Northern Norway Regional Health Authority, DOI 10.13039/501100007137;
                Award ID: HNF1570-21
                Funded by: Research Council of Norway, DOI 10.13039/501100005416;
                Award ID: 295910
                Categories
                Research Article
                Microbes & Disease
                AcademicSubjects/SCI01150

                vancomycin-resistant enterococci (vre),chemoproteomics,activity-based probe,fluorophosphonate,bocillin-fl,enterococcus lactis

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