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      MinD-RNase E interplay controls localization of polar mRNAs in E. coli

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          Abstract

          The E. coli transcriptome at the cell’s poles (polar transcriptome) is unique compared to the membrane and cytosol. Several factors have been suggested to mediate mRNA localization to the membrane, but the mechanism underlying polar localization of mRNAs remains unknown. Here, we combined a candidate system approach with proteomics to identify factors that mediate mRNAs localization to the cell poles. We identified the pole-to-pole oscillating protein MinD as an essential factor regulating polar mRNA localization, although it is not able to bind RNA directly. We demonstrate that RNase E, previously shown to interact with MinD, is required for proper localization of polar mRNAs. Using in silico modeling followed by experimental validation, the membrane-binding site in RNase E was found to mediate binding to MinD. Intriguingly, not only does MinD affect RNase E interaction with the membrane, but it also affects its mode of action and dynamics. Polar accumulation of RNase E in ΔminCDE cells resulted in destabilization and depletion of mRNAs from poles. Finally, we show that mislocalization of polar mRNAs may prevent polar localization of their protein products. Taken together, our findings show that the interplay between MinD and RNase E determines the composition of the polar transcriptome, thus assigning previously unknown roles for both proteins.

          Synopsis

          A subset of E. coli transcripts localizes to the cell poles via an unknown mechanism. Here, the interaction of MinD and RNase E is shown to prevent site-specific degradation of polar mRNAs, thus favoring their enrichment in the cell poles.

          • Candidate approach and proteomic analysis identify MinD and RNase E as regulators of polar mRNA localization.

          • MinD interacts with a short peptide within the membrane-targeting sequence of RNase E.

          • In the absence of MinD, RNase E transiently accumulates at cell poles.

          • Polar accumulation of RNase E in ΔminCDE cells destabilizes polar mRNAs, resulting in their elimination from the poles and potentially affecting localization of the encoded proteins.

          Abstract

          The polar transcriptome of E. coli is regulated by MinD-dependent inhibition of RNase E recruitment to the cell pole.

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          Most cited references81

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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 Perseus computational platform for comprehensive analysis of (prote)omics data.

            A main bottleneck in proteomics is the downstream biological analysis of highly multivariate quantitative protein abundance data generated using mass-spectrometry-based analysis. We developed the Perseus software platform (http://www.perseus-framework.org) to support biological and biomedical researchers in interpreting protein quantification, interaction and post-translational modification data. Perseus contains a comprehensive portfolio of statistical tools for high-dimensional omics data analysis covering normalization, pattern recognition, time-series analysis, cross-omics comparisons and multiple-hypothesis testing. A machine learning module supports the classification and validation of patient groups for diagnosis and prognosis, and it also detects predictive protein signatures. Central to Perseus is a user-friendly, interactive workflow environment that provides complete documentation of computational methods used in a publication. All activities in Perseus are realized as plugins, and users can extend the software by programming their own, which can be shared through a plugin store. We anticipate that Perseus's arsenal of algorithms and its intuitive usability will empower interdisciplinary analysis of complex large data sets.
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              Andromeda: a peptide search engine integrated into the MaxQuant environment.

              A key step in mass spectrometry (MS)-based proteomics is the identification of peptides in sequence databases by their fragmentation spectra. Here we describe Andromeda, a novel peptide search engine using a probabilistic scoring model. On proteome data, Andromeda performs as well as Mascot, a widely used commercial search engine, as judged by sensitivity and specificity analysis based on target decoy searches. Furthermore, it can handle data with arbitrarily high fragment mass accuracy, is able to assign and score complex patterns of post-translational modifications, such as highly phosphorylated peptides, and accommodates extremely large databases. The algorithms of Andromeda are provided. Andromeda can function independently or as an integrated search engine of the widely used MaxQuant computational proteomics platform and both are freely available at www.maxquant.org. The combination enables analysis of large data sets in a simple analysis workflow on a desktop computer. For searching individual spectra Andromeda is also accessible via a web server. We demonstrate the flexibility of the system by implementing the capability to identify cofragmented peptides, significantly improving the total number of identified peptides.
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                Author and article information

                Contributors
                kannaiah@wustl.edu
                ornaam@ekmd.huji.ac.il
                Journal
                EMBO J
                EMBO J
                The EMBO Journal
                Nature Publishing Group UK (London )
                0261-4189
                1460-2075
                19 January 2024
                19 January 2024
                February 2024
                : 43
                : 4
                : 637-662
                Affiliations
                [1 ]GRID grid.9619.7, ISNI 0000 0004 1937 0538, Department of Microbiology and Molecular Genetics, IMRIC, , The Hebrew University Faculty of Medicine, ; P.O.Box 12272, 91120 Jerusalem, Israel
                [2 ]Department of Human Molecular Genetics and Biochemistry, Sackler School of Medicine, Tel Aviv University, ( https://ror.org/04mhzgx49) 6997801 Tel-Aviv, Israel
                [3 ]GRID grid.4367.6, ISNI 0000 0001 2355 7002, Present Address: Department of Molecular Microbiology, , Washington University School of Medicine, ; St Louis, MO 63110 USA
                [4 ]Present Address: Department of Biochemistry, University of Oxford, ( https://ror.org/052gg0110) Oxford, OX1 3QU UK
                [5 ]Present Address: Department of Pathology, University of British Columbia, ( https://ror.org/03rmrcq20) Vancouver, BC V6T 1Z4 Canada
                [6 ]Present Address: Department of Molecular Cell Biology, Weizmann Institute of Science, ( https://ror.org/0316ej306) 76100001 Rehovot, Israel
                Author information
                http://orcid.org/0009-0009-0125-1649
                http://orcid.org/0000-0002-1063-2373
                http://orcid.org/0000-0002-1624-0362
                http://orcid.org/0000-0001-6382-0688
                Article
                26
                10.1038/s44318-023-00026-9
                10897333
                38243117
                bd79f9d5-6c61-4593-ab0d-e077db823b39
                © The Author(s) 2024

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the data associated with this article, unless otherwise stated in a credit line to the data, but does not extend to the graphical or creative elements of illustrations, charts, or figures. This waiver removes legal barriers to the re-use and mining of research data. According to standard scholarly practice, it is recommended to provide appropriate citation and attribution whenever technically possible.

                History
                : 3 February 2023
                : 11 December 2023
                : 18 December 2023
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100003977, Israel Science Foundation (ISF);
                Award ID: 1274/19
                Award ID: 301/2021
                Award Recipient :
                Categories
                Article
                Custom metadata
                © European Molecular Biology Organization 2024

                Molecular biology
                rna localization,bacterial cell organization,bacterial cell poles,rnase e,mind,cell adhesion, polarity & cytoskeleton,microbiology, virology & host pathogen interaction,rna biology

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