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      S100A4 regulates macrophage invasion by distinct myosin-dependent and myosin-independent mechanisms

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          Abstract

          S100A4, a member of the S100 family of Ca 2+-binding proteins, is a key regulator of cell migration and invasion. Our previous studies showed that bone marrow–derived macrophages from S100A4 −/− mice exhibit defects in directional motility and chemotaxis in vitro and reduced recruitment to sites of inflammation in vivo. We now show that the loss of S100A4 produces two mechanistically distinct phenotypes with regard to macrophage invasion: a defect in matrix degradation, due to a disruption of podosome rosettes caused by myosin-IIA overassembly, and a myosin-independent increase in microtubule acetylation, which increases podosome rosette stability and is sufficient to inhibit macrophage invasion. Our studies point to S100A4 as a critical regulator of matrix degradation, whose actions converge on the dynamics and degradative functions of podosome rosettes.

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          Most cited references63

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          S100 proteins in cancer.

          In humans, the S100 protein family is composed of 21 members that exhibit a high degree of structural similarity, but are not functionally interchangeable. This family of proteins modulates cellular responses by functioning both as intracellular Ca(2+) sensors and as extracellular factors. Dysregulated expression of multiple members of the S100 family is a common feature of human cancers, with each type of cancer showing a unique S100 protein profile or signature. Emerging in vivo evidence indicates that the biology of most S100 proteins is complex and multifactorial, and that these proteins actively contribute to tumorigenic processes such as cell proliferation, metastasis, angiogenesis and immune evasion. Drug discovery efforts have identified leads for inhibiting several S100 family members, and two of the identified inhibitors have progressed to clinical trials in patients with cancer. This Review highlights new findings regarding the role of S100 family members in cancer diagnosis and treatment, the contribution of S100 signalling to tumour biology, and the discovery and development of S100 inhibitors for treating cancer.
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            Mechanism of blebbistatin inhibition of myosin II.

            Blebbistatin is a recently discovered small molecule inhibitor showing high affinity and selectivity toward myosin II. Here we report a detailed investigation of its mechanism of inhibition. Blebbistatin does not compete with nucleotide binding to the skeletal muscle myosin subfragment-1. The inhibitor preferentially binds to the ATPase intermediate with ADP and phosphate bound at the active site, and it slows down phosphate release. Blebbistatin interferes neither with binding of myosin to actin nor with ATP-induced actomyosin dissociation. Instead, it blocks the myosin heads in a products complex with low actin affinity. Blind docking molecular simulations indicate that the productive blebbistatin-binding site of the myosin head is within the aqueous cavity between the nucleotide pocket and the cleft of the actin-binding interface. The property that blebbistatin blocks myosin II in an actin-detached state makes the compound useful both in muscle physiology and in exploring the cellular function of cytoplasmic myosin II isoforms, whereas the stabilization of a specific myosin intermediate confers a great potential in structural studies.
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              Quantitative real-time RT-PCR data analysis: current concepts and the novel "gene expression's CT difference" formula.

              For quantification of gene-specific mRNA, quantitative real-time RT-PCR has become one of the most frequently used methods over the last few years. This article focuses on the issue of real-time PCR data analysis and its mathematical background, offering a general concept for efficient, fast and precise data analysis superior to the commonly used comparative CT (DeltaDeltaCT) and the standard curve method, as it considers individual amplification efficiencies for every PCR. This concept is based on a novel formula for the calculation of relative gene expression ratios, termed GED (Gene Expression's CT Difference) formula. Prerequisites for this formula, such as real-time PCR kinetics, the concept of PCR efficiency and its determination, are discussed. Additionally, this article offers some technical considerations and information on statistical analysis of real-time PCR data.
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                Author and article information

                Contributors
                Role: Monitoring Editor
                Journal
                Mol Biol Cell
                Mol. Biol. Cell
                molbiolcell
                mbc
                mboc
                Molecular Biology of the Cell
                The American Society for Cell Biology
                1059-1524
                1939-4586
                01 March 2018
                : 29
                : 5
                : 632-642
                Affiliations
                [a ]Department of Biochemistry, Albert Einstein College of Medicine, Bronx, NY 10461
                [b ]Department of Molecular Pharmacology, Albert Einstein College of Medicine, Bronx, NY 10461
                Yale University
                Author notes
                *Address correspondence to: Anne R. Bresnick ( anne.bresnick@ 123456einstein.yu.edu ) or Jonathan M. Backer ( jonathan.backer@ 123456einstein.yu.edu ).
                Article
                E17-07-0460
                10.1091/mbc.E17-07-0460
                6004585
                29282275
                00c5c4ff-61aa-4a80-b1b7-a8cc17ed5c09
                © 2018 Dulyaninova et al. “ASCB®,” “The American Society for Cell Biology®,” and “Molecular Biology of the Cell®” are registered trademarks of The American Society for Cell Biology.

                This article is distributed by The American Society for Cell Biology under license from the author(s). Two months after publication it is available to the public under an Attribution–Noncommercial–Share Alike 3.0 Unported Creative Commons License.

                History
                : 18 July 2017
                : 27 November 2017
                : 22 December 2017
                Categories
                Articles
                Cytoskeleton

                Molecular biology
                Molecular biology

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