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  1. Article ; Online: Holliday junction branch migration driven by AAA+ ATPase motors.

    Wald, Jiri / Marlovits, Thomas C

    Current opinion in structural biology

    2023  Volume 82, Page(s) 102650

    Abstract: Holliday junctions are key intermediate DNA structures during genetic recombination. One of the first Holliday junction-processing protein complexes to be discovered was the well conserved RuvAB branch migration complex present in bacteria that mediates ... ...

    Abstract Holliday junctions are key intermediate DNA structures during genetic recombination. One of the first Holliday junction-processing protein complexes to be discovered was the well conserved RuvAB branch migration complex present in bacteria that mediates an ATP-dependent movement of the Holliday junction (branch migration). Although the RuvAB complex served as a paradigm for the processing of the Holliday junction, due to technical limitations the detailed structure and underlying mechanism of the RuvAB branch migration complex has until now remained unclear. Recently, structures of a reconstituted RuvAB complex actively-processing a Holliday junction were resolved using time-resolved cryo-electron microscopy. These structures showed distinct conformational states at different stages of the migration process. These structures made it possible to propose an integrated model for RuvAB Holliday junction branch migration. Furthermore, they revealed unexpected insights into the highly coordinated and regulated mechanisms of the nucleotide cycle powering substrate translocation in the hexameric AAA+ RuvB ATPase. Here, we review these latest advances and describe areas for future research.
    MeSH term(s) DNA, Cruciform ; Cryoelectron Microscopy ; ATPases Associated with Diverse Cellular Activities ; Movement ; Nucleotides
    Chemical Substances DNA, Cruciform ; ATPases Associated with Diverse Cellular Activities (EC 3.6.4.-) ; Nucleotides
    Language English
    Publishing date 2023-08-19
    Publishing country England
    Document type Journal Article ; Review ; Research Support, Non-U.S. Gov't
    ZDB-ID 1068353-7
    ISSN 1879-033X ; 0959-440X
    ISSN (online) 1879-033X
    ISSN 0959-440X
    DOI 10.1016/j.sbi.2023.102650
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Cryo-EM of the injectisome and type III secretion systems.

    Bergeron, Julien R C / Marlovits, Thomas C

    Current opinion in structural biology

    2022  Volume 75, Page(s) 102403

    Abstract: Double-membrane-spanning protein complexes, such as the T3SS, had long presented an intractable challenge for structural biology. As a consequence, until a few years ago, our molecular understanding of this fascinating complex was limited to composite ... ...

    Abstract Double-membrane-spanning protein complexes, such as the T3SS, had long presented an intractable challenge for structural biology. As a consequence, until a few years ago, our molecular understanding of this fascinating complex was limited to composite models, consisting of structures of isolated domains, positioned within the overall complex. Most of the membrane-embedded components remained completely uncharacterized. In recent years, the emergence of cryo-electron microscopy (cryo-EM) as a method for determining protein structures to high resolution, has be transformative to our capacity to understand the architecture of this complex, and its mechanism of substrate transport. In this review, we summarize the recent structures of the various T3SS components, determined by cryo-EM, and highlight the regions of the complex that remain to be characterized. We also discuss the recent structural insights into the mechanism of effector transport through the T3SS. Finally, we highlight some of the challenges that remain to be tackled.
    MeSH term(s) Cryoelectron Microscopy/methods ; Type III Secretion Systems/chemistry
    Chemical Substances Type III Secretion Systems
    Language English
    Publishing date 2022-06-17
    Publishing country England
    Document type Journal Article ; Review ; Research Support, Non-U.S. Gov't
    ZDB-ID 1068353-7
    ISSN 1879-033X ; 0959-440X
    ISSN (online) 1879-033X
    ISSN 0959-440X
    DOI 10.1016/j.sbi.2022.102403
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Residue-level error detection in cryoelectron microscopy models.

    Reggiano, Gabriella / Lugmayr, Wolfgang / Farrell, Daniel / Marlovits, Thomas C / DiMaio, Frank

    Structure (London, England : 1993)

    2023  Volume 31, Issue 7, Page(s) 860–869.e4

    Abstract: Building accurate protein models into moderate resolution (3-5 Å) cryoelectron microscopy (cryo-EM) maps is challenging and error prone. We have developed MEDIC (Model Error Detection in Cryo-EM), a robust statistical model that identifies local backbone ...

    Abstract Building accurate protein models into moderate resolution (3-5 Å) cryoelectron microscopy (cryo-EM) maps is challenging and error prone. We have developed MEDIC (Model Error Detection in Cryo-EM), a robust statistical model that identifies local backbone errors in protein structures built into cryo-EM maps by combining local fit-to-density with deep-learning-derived structural information. MEDIC is validated on a set of 28 structures that were subsequently solved to higher resolutions, where we identify the differences between low- and high-resolution structures with 68% precision and 60% recall. We additionally use this model to fix over 100 errors in 12 deposited structures and to identify errors in 4 refined AlphaFold predictions with 80% precision and 60% recall. As modelers more frequently use deep learning predictions as a starting point for refinement and rebuilding, MEDIC's ability to handle errors in structures derived from hand-building and machine learning methods makes it a powerful tool for structural biologists.
    MeSH term(s) Protein Conformation ; Cryoelectron Microscopy/methods ; Models, Molecular ; Proteins/chemistry ; Machine Learning
    Chemical Substances Proteins
    Language English
    Publishing date 2023-05-29
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1213087-4
    ISSN 1878-4186 ; 0969-2126
    ISSN (online) 1878-4186
    ISSN 0969-2126
    DOI 10.1016/j.str.2023.05.002
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: PickYOLO: Fast deep learning particle detector for annotation of cryo electron tomograms.

    Genthe, Erik / Miletic, Sean / Tekkali, Indira / Hennell James, Rory / Marlovits, Thomas C / Heuser, Philipp

    Journal of structural biology

    2023  Volume 215, Issue 3, Page(s) 107990

    Abstract: Particle localization (picking) in digital tomograms is a laborious and time-intensive step in cryogenic electron tomography (cryoET) analysis often requiring considerable user involvement, thus becoming a bottleneck for automated cryoET subtomogram ... ...

    Abstract Particle localization (picking) in digital tomograms is a laborious and time-intensive step in cryogenic electron tomography (cryoET) analysis often requiring considerable user involvement, thus becoming a bottleneck for automated cryoET subtomogram averaging (STA) pipelines. In this paper, we introduce a deep learning framework called PickYOLO to tackle this problem. PickYOLO is a super-fast, universal particle detector based on the deep-learning real-time object recognition system YOLO (You Only Look Once), and tested on single particles, filamentous structures, and membrane-embedded particles. After training with the centre coordinates of a few hundred representative particles, the network automatically detects additional particles with high yield and reliability at a rate of 0.24-3.75 s per tomogram. PickYOLO can automatically detect number of particles comparable to those manually selected by experienced microscopists. This makes PickYOLO a valuable tool to substantially reduce the time and manual effort needed to analyse cryoET data for STA, greatly aiding in high-resolution cryoET structure determination.
    MeSH term(s) Deep Learning ; Electrons ; Reproducibility of Results ; Cryoelectron Microscopy/methods ; Electron Microscope Tomography/methods ; Image Processing, Computer-Assisted/methods
    Language English
    Publishing date 2023-06-25
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 1032718-6
    ISSN 1095-8657 ; 1047-8477
    ISSN (online) 1095-8657
    ISSN 1047-8477
    DOI 10.1016/j.jsb.2023.107990
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Structural basis for subversion of host cell actin cytoskeleton during

    Yuan, Biao / Scholz, Jonas / Wald, Jiri / Thuenauer, Roland / Hennell James, Rory / Ellenberg, Irina / Windhorst, Sabine / Faix, Jan / Marlovits, Thomas C

    Science advances

    2023  Volume 9, Issue 49, Page(s) eadj5777

    Abstract: Secreted bacterial type III secretion system (T3SS) proteins are essential for successful infection by many human pathogens. Both T3SS translocator SipC and effector SipA are critical ... ...

    Abstract Secreted bacterial type III secretion system (T3SS) proteins are essential for successful infection by many human pathogens. Both T3SS translocator SipC and effector SipA are critical for
    MeSH term(s) Humans ; Actins/metabolism ; Cryoelectron Microscopy ; Bacterial Proteins/metabolism ; Actin Cytoskeleton/metabolism ; Salmonella Infections
    Chemical Substances Actins ; N-succinimidyl-5-iodo-3-pyridinecarboxylic acid (131865-61-7) ; Bacterial Proteins
    Language English
    Publishing date 2023-12-08
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2810933-8
    ISSN 2375-2548 ; 2375-2548
    ISSN (online) 2375-2548
    ISSN 2375-2548
    DOI 10.1126/sciadv.adj5777
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article: The Structure of the Type III Secretion System Needle Complex.

    Miletic, Sean / Goessweiner-Mohr, Nikolaus / Marlovits, Thomas C

    Current topics in microbiology and immunology

    2019  Volume 427, Page(s) 67–90

    Abstract: The type III secretion system (T3SS) is an essential virulence factor of many pathogenic bacterial species including Salmonella, Yersinia, Shigella and enteropathogenic Escherichia coli (EPEC). It is an intricate molecular machine that spans the ... ...

    Abstract The type III secretion system (T3SS) is an essential virulence factor of many pathogenic bacterial species including Salmonella, Yersinia, Shigella and enteropathogenic Escherichia coli (EPEC). It is an intricate molecular machine that spans the bacterial membranes and injects effector proteins into target host cells, enabling bacterial infection. The T3SS needle complex comprises of proteinaceous rings supporting a needle filament which extends out into the extracellular environment. It serves as the central conduit for translocating effector proteins. Multiple laboratories have dedicated a remarkable effort to decipher the structure and function of the needle complex. A combination of structural biology techniques such as cryo-electron microscopy (cryoEM), X-ray crystallography, nuclear magnetic resonance (NMR) spectroscopy and computer modelling have been utilized to study different structural components at progressively higher resolutions. This chapter will provide an overview of the structural details of the T3SS needle complex, shedding light on this essential component of this fascinating bacterial system.
    MeSH term(s) Bacterial Proteins ; Computer Simulation ; Cryoelectron Microscopy ; Crystallography, X-Ray ; Nuclear Magnetic Resonance, Biomolecular ; Type III Secretion Systems/chemistry ; Type III Secretion Systems/ultrastructure ; Virulence Factors
    Chemical Substances Bacterial Proteins ; Type III Secretion Systems ; Virulence Factors
    Language English
    Publishing date 2019-10-30
    Publishing country Germany
    Document type Journal Article ; Review
    ISSN 0070-217X
    ISSN 0070-217X
    DOI 10.1007/82_2019_178
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Structural snapshots of human PepT1 and PepT2 reveal mechanistic insights into substrate and drug transport across epithelial membranes.

    Killer, Maxime / Wald, Jiri / Pieprzyk, Joanna / Marlovits, Thomas C / Löw, Christian

    Science advances

    2021  Volume 7, Issue 45, Page(s) eabk3259

    Abstract: The uptake of peptides in mammals plays a crucial role in nutrition and inflammatory diseases. This process is mediated by promiscuous transporters of the solute carrier family 15, which form part of the major facilitator superfamily. Besides the uptake ... ...

    Abstract The uptake of peptides in mammals plays a crucial role in nutrition and inflammatory diseases. This process is mediated by promiscuous transporters of the solute carrier family 15, which form part of the major facilitator superfamily. Besides the uptake of short peptides, peptide transporter 1 (PepT1) is a highly abundant drug transporter in the intestine and represents a major route for oral drug delivery. PepT2 also allows renal drug reabsorption from ultrafiltration and brain-to-blood efflux of neurotoxic compounds. Here, we present cryogenic electron microscopy (cryo-EM) structures of human PepT1 and PepT2 captured in four different states throughout the transport cycle. The structures reveal the architecture of human peptide transporters and provide mechanistic insights into substrate recognition and conformational transitions during transport. This may support future drug design efforts to increase the bioavailability of different drugs in the human body.
    Language English
    Publishing date 2021-11-03
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2810933-8
    ISSN 2375-2548 ; 2375-2548
    ISSN (online) 2375-2548
    ISSN 2375-2548
    DOI 10.1126/sciadv.abk3259
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Helical reconstruction of

    Kotov, Vadim / Lunelli, Michele / Wald, Jiri / Kolbe, Michael / Marlovits, Thomas C

    Biochemistry and biophysics reports

    2021  Volume 27, Page(s) 101039

    Abstract: Gram-negative pathogens evolved a syringe-like nanomachine, termed type 3 secretion system, to deliver protein effectors into the cytoplasm of host cells. An essential component of this system is a long helical needle filament that protrudes from the ... ...

    Abstract Gram-negative pathogens evolved a syringe-like nanomachine, termed type 3 secretion system, to deliver protein effectors into the cytoplasm of host cells. An essential component of this system is a long helical needle filament that protrudes from the bacterial surface and connects the cytoplasms of the bacterium and the eukaryotic cell. Previous structural research was predominantly focused on reconstituted type 3 needle filaments, which lacked the biological context. In this work we introduce a facile procedure to obtain high-resolution cryo-EM structure of needle filaments attached to the basal body of type 3 secretion systems. We validate our approach by solving the structure of
    Language English
    Publishing date 2021-06-27
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 2831046-9
    ISSN 2405-5808 ; 2405-5808
    ISSN (online) 2405-5808
    ISSN 2405-5808
    DOI 10.1016/j.bbrep.2021.101039
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Mechanism of AAA+ ATPase-mediated RuvAB-Holliday junction branch migration.

    Wald, Jiri / Fahrenkamp, Dirk / Goessweiner-Mohr, Nikolaus / Lugmayr, Wolfgang / Ciccarelli, Luciano / Vesper, Oliver / Marlovits, Thomas C

    Nature

    2022  Volume 609, Issue 7927, Page(s) 630–639

    Abstract: The Holliday junction is a key intermediate formed during DNA recombination across all kingdoms of ... ...

    Abstract The Holliday junction is a key intermediate formed during DNA recombination across all kingdoms of life
    MeSH term(s) ATPases Associated with Diverse Cellular Activities/chemistry ; ATPases Associated with Diverse Cellular Activities/metabolism ; ATPases Associated with Diverse Cellular Activities/ultrastructure ; Adenosine Triphosphate/metabolism ; Bacterial Proteins/chemistry ; Bacterial Proteins/metabolism ; Bacterial Proteins/ultrastructure ; Cryoelectron Microscopy ; DNA Helicases/chemistry ; DNA Helicases/metabolism ; DNA Helicases/ultrastructure ; DNA, Cruciform/chemistry ; DNA, Cruciform/metabolism ; DNA, Cruciform/ultrastructure ; DNA, Single-Stranded/chemistry ; DNA, Single-Stranded/metabolism ; DNA, Single-Stranded/ultrastructure ; Homologous Recombination ; Hydrolysis ; Multienzyme Complexes/chemistry ; Multienzyme Complexes/metabolism ; Multienzyme Complexes/ultrastructure ; Nucleotides ; Protein Conformation ; Rotation
    Chemical Substances Bacterial Proteins ; DNA, Cruciform ; DNA, Single-Stranded ; Multienzyme Complexes ; Nucleotides ; RuvB protein, Bacteria ; Adenosine Triphosphate (8L70Q75FXE) ; ATPases Associated with Diverse Cellular Activities (EC 3.6.4.-) ; DNA Helicases (EC 3.6.4.-)
    Language English
    Publishing date 2022-08-24
    Publishing country England
    Document type Journal Article
    ZDB-ID 120714-3
    ISSN 1476-4687 ; 0028-0836
    ISSN (online) 1476-4687
    ISSN 0028-0836
    DOI 10.1038/s41586-022-05121-1
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: StarMap: a user-friendly workflow for Rosetta-driven molecular structure refinement.

    Lugmayr, Wolfgang / Kotov, Vadim / Goessweiner-Mohr, Nikolaus / Wald, Jiri / DiMaio, Frank / Marlovits, Thomas C

    Nature protocols

    2022  Volume 18, Issue 1, Page(s) 239–264

    Abstract: Cryogenic electron microscopy (cryo-EM) data represent density maps of macromolecular systems at atomic or near-atomic resolution. However, building and refining 3D atomic models by using data from cryo-EM maps is not straightforward and requires ... ...

    Abstract Cryogenic electron microscopy (cryo-EM) data represent density maps of macromolecular systems at atomic or near-atomic resolution. However, building and refining 3D atomic models by using data from cryo-EM maps is not straightforward and requires significant hands-on experience and manual intervention. We recently developed StarMap, an easy-to-use interface between the popular structural display program ChimeraX and Rosetta, a powerful molecular modeling engine. StarMap offers a general approach for refining structural models of biological macromolecules into cryo-EM density maps by combining Monte Carlo sampling with local density-guided optimization, Rosetta-based all-atom refinement and real-space B-factor calculations in a straightforward workflow. StarMap includes options for structural symmetry, local refinements and independent model validation. The overall quality of the refinement and the structure resolution is then assessed via analytical outputs, such as magnification calibration (pixel size calibration) and Fourier shell correlations. Z-scores reported by StarMap provide an easily interpretable indicator of the goodness of fit for each residue and can be plotted to evaluate structural models and improve local residue refinements, as well as to identify flexible regions and potentially functional sites in large macromolecular complexes. The protocol requires general computer skills, without the need for coding expertise, because most parts of the workflow can be operated by clicking tabs within the ChimeraX graphical user interface. Time requirements for the model refinement depend on the size and quality of the input data; however, this step can typically be completed within 1 d. The analytical parts of the workflow are completed within minutes.
    MeSH term(s) Molecular Structure ; Workflow ; Cryoelectron Microscopy/methods ; Models, Molecular ; Protein Conformation ; Macromolecular Substances
    Chemical Substances Macromolecular Substances
    Language English
    Publishing date 2022-11-02
    Publishing country England
    Document type Journal Article ; Review ; Research Support, Non-U.S. Gov't
    ZDB-ID 2244966-8
    ISSN 1750-2799 ; 1754-2189
    ISSN (online) 1750-2799
    ISSN 1754-2189
    DOI 10.1038/s41596-022-00757-9
    Database MEDical Literature Analysis and Retrieval System OnLINE

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