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      Protein with negative surface charge distribution, Bnr1, shows characteristics of a DNA‐mimic protein and may be involved in the adaptation of Burkholderia cenocepacia

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          Abstract

          Adaptation of opportunistic pathogens to their host environment requires reprogramming of a vast array of genes to facilitate survival in the host. Burkholderia cenocepacia, a Gram‐negative bacterium with a large genome of ∼8 Mb that colonizes environmental niches, is exquisitely adaptable to the hypoxic environment of the cystic fibrosis lung and survives in macrophages. We previously identified an immunoreactive acidic protein encoded on replicon 3, BCAS0292. Deletion of the BCAS0292 gene significantly altered the abundance of 979 proteins by 1.5‐fold or more; 19 proteins became undetectable while 545 proteins showed ≥1.5‐fold reduced abundance, suggesting the BCAS0292 protein is a global regulator. Moreover, the ∆BCAS0292 mutant showed a range of pleiotropic effects: virulence and host‐cell attachment were reduced, antibiotic susceptibility was altered, and biofilm formation enhanced. Its growth and survival were impaired in 6% oxygen. In silico prediction of its three‐dimensional structure revealed BCAS0292 presents a dimeric β‐structure with a negative surface charge. The ΔBCAS0292 mutant displayed altered DNA supercoiling, implicated in global regulation of gene expression. Three proteins were identified in pull‐downs with FLAG‐tagged BCAS0292, including the Histone H1‐like protein, HctB, which is recognized as a global transcriptional regulator. We propose that BCAS0292 protein, which we have named Burkholderia negatively surface‐charged regulatory protein 1 (Bnr1), acts as a DNA‐mimic and binds to DNA‐binding proteins, altering DNA topology and regulating the expression of multiple genes, thereby enabling the adaptation of B. cenocepacia to highly diverse environments.

          Abstract

          Burkholderia negatively surface‐charged regulatory protein 1 (Bnr1) is an acidic protein expressed by Burkholderia cenocepacia that is upregulated in the stationary phase; in response to low oxygen stress; or the hypoxic environment of the chronically infected cystic fibrosis lung. It possesses a negatively charged surface and its deletion dramatically alters the abundance of over a thousand proteins in the cell, with multiple effects on pathogenesis. We show that Bnr1 binds to histone‐like binding proteins and behaves as a DNA‐mimic protein.

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          Gapped BLAST and PSI-BLAST: a new generation of protein database search programs.

          S Altschul (1997)
          The BLAST programs are widely used tools for searching protein and DNA databases for sequence similarities. For protein comparisons, a variety of definitional, algorithmic and statistical refinements described here permits the execution time of the BLAST programs to be decreased substantially while enhancing their sensitivity to weak similarities. A new criterion for triggering the extension of word hits, combined with a new heuristic for generating gapped alignments, yields a gapped BLAST program that runs at approximately three times the speed of the original. In addition, a method is introduced for automatically combining statistically significant alignments produced by BLAST into a position-specific score matrix, and searching the database using this matrix. The resulting Position-Specific Iterated BLAST (PSI-BLAST) program runs at approximately the same speed per iteration as gapped BLAST, but in many cases is much more sensitive to weak but biologically relevant sequence similarities. PSI-BLAST is used to uncover several new and interesting members of the BRCT superfamily.
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            MaxQuant enables high peptide identification rates, individualized p.p.b.-range mass accuracies and proteome-wide protein quantification.

            Efficient analysis of very large amounts of raw data for peptide identification and protein quantification is a principal challenge in mass spectrometry (MS)-based proteomics. Here we describe MaxQuant, an integrated suite of algorithms specifically developed for high-resolution, quantitative MS data. Using correlation analysis and graph theory, MaxQuant detects peaks, isotope clusters and stable amino acid isotope-labeled (SILAC) peptide pairs as three-dimensional objects in m/z, elution time and signal intensity space. By integrating multiple mass measurements and correcting for linear and nonlinear mass offsets, we achieve mass accuracy in the p.p.b. range, a sixfold increase over standard techniques. We increase the proportion of identified fragmentation spectra to 73% for SILAC peptide pairs via unambiguous assignment of isotope and missed-cleavage state and individual mass precision. MaxQuant automatically quantifies several hundred thousand peptides per SILAC-proteome experiment and allows statistically robust identification and quantification of >4,000 proteins in mammalian cell lysates.
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              The PRIDE database and related tools and resources in 2019: improving support for quantification data

              Abstract The PRoteomics IDEntifications (PRIDE) database (https://www.ebi.ac.uk/pride/) is the world’s largest data repository of mass spectrometry-based proteomics data, and is one of the founding members of the global ProteomeXchange (PX) consortium. 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 2016. In the last 3 years, public data sharing through PRIDE (as part of PX) has definitely become the norm in the field. In parallel, data re-use of public proteomics data has increased enormously, with multiple applications. We first describe the new architecture of PRIDE Archive, the archival component of PRIDE. PRIDE Archive and the related data submission framework have been further developed to support the increase in submitted data volumes and additional data types. A new scalable and fault tolerant storage backend, Application Programming Interface and web interface have been implemented, as a part of an ongoing process. Additionally, we emphasize the improved support for quantitative proteomics data through the mzTab format. At last, we outline key statistics on the current data contents and volume of downloads, and how PRIDE data are starting to be disseminated to added-value resources including Ensembl, UniProt and Expression Atlas.
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                Author and article information

                Contributors
                siobhan.mcclean@ucd.ie
                Journal
                Microbiologyopen
                Microbiologyopen
                10.1002/(ISSN)2045-8827
                MBO3
                MicrobiologyOpen
                John Wiley and Sons Inc. (Hoboken )
                2045-8827
                06 February 2022
                February 2022
                : 11
                : 1 ( doiID: 10.1002/mbo3.v11.1 )
                : e1264
                Affiliations
                [ 1 ] Centre of Microbial Host Interactions Institute of Technology Tallaght Dublin Ireland
                [ 2 ] School of Biomolecular and Biomedical Science University College Dublin Dublin Ireland
                [ 3 ] UCD Conway Institute of Biomolecular and Biomedical Research University College Dublin Belfield, Dublin Ireland
                [ 4 ] Institute of Biostructures and Bioimaging National Research Council Naples Italy
                [ 5 ] Department of Pathogen Biology and Immunology, Institute of Genetics and Microbiology University of Wroclaw Wroclaw Poland
                [ 6 ] School of Medicine, Dentistry and Biomedical Sciences, Wellcome‐Wolfson Institute for Experimental Medicine Queen's University Belfast Belfast UK
                Author notes
                [*] [* ] Correspondence Siobhán McClean, F059, UCD Conway Institute of Biomolecular and Biomedical Research, University College Dublin, Belfield, Dublin 4 D04 V1W8, Ireland.

                Email: siobhan.mcclean@ 123456ucd.ie

                Author information
                http://orcid.org/0000-0001-6389-2542
                Article
                MBO31264
                10.1002/mbo3.1264
                9060813
                35212475
                2f977269-fefc-4155-95de-7b623311c3d3
                © 2022 The Authors. MicrobiologyOpen published by John Wiley & Sons Ltd.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 27 September 2021
                : 14 January 2022
                Page count
                Figures: 8, Tables: 5, Pages: 21, Words: 12633
                Funding
                Funded by: Irish Research Council for Science, Engineering and Technology
                Award ID: GOIPG/2021/1443
                Funded by: Ministero dell'Istruzione, dell'Università e della Ricerca
                Award ID: 2017SFBFE
                Funded by: University College Dublin
                Award ID: SBBS_RS_2017
                Funded by: Horizon 2020 Framework Programme
                Award ID: BM1003
                Funded by: Institute of Technology, Tallaght
                Award ID: ITT‐16‐02
                Funded by: Science Foundation Ireland
                Award ID: RFP‐BMT‐3307
                Categories
                Original Article
                Original Articles
                Custom metadata
                2.0
                February 2022
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.1.5 mode:remove_FC converted:06.05.2022

                Microbiology & Virology
                bacterial adaptation,burkholderia cenocepacia,chronic infection,cystic fibrosis,dna‐mimic protein,protein–protein interaction

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