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      Increased talin–vinculin spatial proximities in livers in response to spotted fever group rickettsial and Ebola virus infections

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          Abstract

          Talin and vinculin, both actin-cytoskeleton-related proteins, have been documented to participate in establishing bacterial infections, respectively, as the adapter protein to mediate cytoskeleton-driven dynamics of the plasma membrane. However, little is known regarding the potential role of the talin–vinculin complex during spotted fever group rickettsial and Ebola virus infections, two dreadful infectious diseases in humans. Many functional properties of proteins are determined by their participation in protein–protein complexes, in a temporal and/or spatial manner. To resolve the limitation of application in using mouse primary antibodies on archival, multiple formalin-fixed mouse tissue samples, which were collected from experiments requiring high biocontainment, we developed a practical strategic proximity ligation assay (PLA) capable of employing one primary antibody raised in mouse to probe talin–vinculin spatial proximal complex in mouse tissue. We observed an increase of talin–vinculin spatial proximities in the livers of spotted fever Rickettsia australis or Ebola virus-infected mice when compared with mock mice. Furthermore, using EPAC1-knockout mice, we found that deletion of EPAC1 could suppress the formation of spatial proximal complex of talin–vinculin in rickettsial infections. In addition, we observed increased colocalization between spatial proximity of talin–vinculin and filamentous actin-specific phalloidin staining in single survival mouse from an ordinarily lethal dose of rickettsial or Ebola virus infection. These findings may help to delineate a fresh insight into the mechanisms underlying liver specific pathogenesis during infection with spotted fever rickettsia or Ebola virus in the mouse model.

          Abstract

          The authors observed an increase of talin-vinculin spatial proximities in the livers of spotted fever Rickettsia australis or Ebola virus-infected mice when compared to mock mice. Furthermore, using EPAC1 knockout mice, they found that deletion of EPAC1 suppresses the formation of spatial proximal complex of talin-vinculin in rickettsial infections.

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          Most cited references82

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          COFACTOR: improved protein function prediction by combining structure, sequence and protein–protein interaction information

          Abstract The COFACTOR web server is a unified platform for structure-based multiple-level protein function predictions. By structurally threading low-resolution structural models through the BioLiP library, the COFACTOR server infers three categories of protein functions including gene ontology, enzyme commission and ligand-binding sites from various analogous and homologous function templates. Here, we report recent improvements of the COFACTOR server in the development of new pipelines to infer functional insights from sequence profile alignments and protein–protein interaction networks. Large-scale benchmark tests show that the new hybrid COFACTOR approach significantly improves the function annotation accuracy of the former structure-based pipeline and other state-of-the-art functional annotation methods, particularly for targets that have no close homology templates. The updated COFACTOR server and the template libraries are available at http://zhanglab.ccmb.med.umich.edu/COFACTOR/.
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            Is Open Access

            Protein-Protein Interaction Detection: Methods and Analysis

            Protein-protein interaction plays key role in predicting the protein function of target protein and drug ability of molecules. The majority of genes and proteins realize resulting phenotype functions as a set of interactions. The in vitro and in vivo methods like affinity purification, Y2H (yeast 2 hybrid), TAP (tandem affinity purification), and so forth have their own limitations like cost, time, and so forth, and the resultant data sets are noisy and have more false positives to annotate the function of drug molecules. Thus, in silico methods which include sequence-based approaches, structure-based approaches, chromosome proximity, gene fusion, in silico 2 hybrid, phylogenetic tree, phylogenetic profile, and gene expression-based approaches were developed. Elucidation of protein interaction networks also contributes greatly to the analysis of signal transduction pathways. Recent developments have also led to the construction of networks having all the protein-protein interactions using computational methods for signaling pathways and protein complex identification in specific diseases.
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              Diversity of protein-protein interactions.

              In this review, we discuss the structural and functional diversity of protein-protein interactions (PPIs) based primarily on protein families for which three-dimensional structural data are available. PPIs play diverse roles in biology and differ based on the composition, affinity and whether the association is permanent or transient. In vivo, the protomer's localization, concentration and local environment can affect the interaction between protomers and are vital to control the composition and oligomeric state of protein complexes. Since a change in quaternary state is often coupled with biological function or activity, transient PPIs are important biological regulators. Structural characteristics of different types of PPIs are discussed and related to their physiological function, specificity and evolution.
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                Author and article information

                Contributors
                bigong@utmb.edu
                Journal
                Lab Invest
                Lab. Invest
                Laboratory Investigation; a Journal of Technical Methods and Pathology
                Nature Publishing Group US (New York )
                0023-6837
                1530-0307
                1 April 2020
                : 1-12
                Affiliations
                [1 ]ISNI 0000 0001 1547 9964, GRID grid.176731.5, Department of Pathology, , University of Texas Medical Branch, ; Galveston, TX 77555 USA
                [2 ]ISNI 0000 0001 1547 9964, GRID grid.176731.5, Department of Internal Medicine, Infectious Diseases, , University of Texas Medical Branch, ; Galveston, TX 77555 USA
                [3 ]ISNI 0000 0001 1547 9964, GRID grid.176731.5, Department of Neuroscience and Cell Biology, , University of Texas Medical Branch, ; Galveston, TX 77555 USA
                [4 ]ISNI 0000 0004 1936 7558, GRID grid.189504.1, Division of Pulmonary and Critical Care Medicine, Department of Medicine, , Boston University Medical Campus, ; Boston, MA USA
                [5 ]ISNI 0000 0001 1547 9964, GRID grid.176731.5, Department of Neurology, , University of Texas Medical Branch, ; Galveston, TX 77555 USA
                [6 ]ISNI 0000 0004 0532 1428, GRID grid.265231.1, Present Address: Life Science Department, , Tunghai University, ; Taichung City, Taiwan
                [7 ]ISNI 0000 0004 0369 1599, GRID grid.411525.6, Present Address: Department of Cardiovascular Surgery, , Changhai Hospital, ; Shanghai, China
                Article
                420
                10.1038/s41374-020-0420-9
                7111589
                942184ff-0324-4ead-9438-966672d1f1d7
                © The Author(s), under exclusive licence to United States and Canadian Academy of Pathology 2020

                This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.

                History
                : 30 October 2019
                : 12 March 2020
                : 12 March 2020
                Funding
                Funded by: FundRef https://doi.org/10.13039/100000060, U.S. Department of Health & Human Services | NIH | National Institute of Allergy and Infectious Diseases (NIAID);
                Award ID: R01AI121012
                Award ID: R21AI137785
                Award Recipient :
                Funded by: U.S. Department of Health & Human Services | NIH | National Institute of Allergy and Infectious Diseases (NIAID)
                Categories
                Article

                Pathology
                infection,infectious diseases
                Pathology
                infection, infectious diseases

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