Home / Journals / MCB / Vol.17, No.3, 2020
Table of Content
  • Open Access

    ARTICLE

    Genetically Encoded FRET Biosensor Detects the Enzymatic Activity of Prostate-Specific Antigen

    Hui Yao1, Liqun Wang3, Jia Guo1, Weimin Liu4, Jingjing Li1, Yingxiao Wang2, Linhong Deng1,*, Mingxing Ouyang1,2,3,*
    Molecular & Cellular Biomechanics, Vol.17, No.3, pp. 101-111, 2020, DOI:10.32604/mcb.2020.09595
    Abstract Prostate cancer is the most common cancer among men beyond 50 years old, and ranked the second in mortality. The level of Prostate-specific antigen (PSA) in serum has been a routine biomarker for clinical assessment of the cancer development, which is detected mostly by antibody-based immunoassays. The proteolytic activity of PSA also has important functions. Here a genetically encoded biosensor based on fluorescence resonance energy transfer (FRET) technology was developed to measure PSA activity. In vitro assay showed that the biosensor containing a substrate peptide ‘RLSSYYSGAG’ had 400% FRET change in response to 1 µg/ml PSA within 90 min, and… More >

  • Open Access

    ARTICLE

    Morphologies of Fibronectin Fibrils Formed under Shear Conditions and Their Cellular Adhesiveness Properties

    Phuong-Thao Nguyen-Thi1, Quoc Phong Le1, Volker R. Stoldt2, Ngoc Quyen Tran3,4, Anh Tho Le5, Khon Huynh1,*
    Molecular & Cellular Biomechanics, Vol.17, No.3, pp. 113-118, 2020, DOI:10.32604/mcb.2020.09643
    Abstract Fibrillar fibronectin (FFN) is a biological active form of FN which form linear and branched meshwork around cells and support cellular activities. Previous studies have demonstrated that shear stress can induce cell-free FN fibrillogenesis. In this study, we further examined the effect of shear stress conditions on morphology of formed FFN and preliminarily looked for relationship between FFN’s morphology and cell adhesion. Plasma FN at 50 µg/ml was perfused through channel slides at shear rates of 500 s-1 or 4000 s-1. Our results showed that there were four FFN structures formed: (1) FN nodules, (2) fibril in different sizes (3)… More >

  • Open Access

    ARTICLE

    Meta-Analysis of the Relationship between Normal Tension Glaucoma, Open-Angle Glaucoma, and Fractional Pressure Reserve

    Qi Li1,2, Ningli Wang3, Zhicheng Liu1,2, Lin Li1,2, Zhicheng Liu1,2, Wenjia Wang1,2, Xiaoxue Long1,2, Hongfang Song1,2,*
    Molecular & Cellular Biomechanics, Vol.17, No.3, pp. 119-137, 2020, DOI:10.32604/mcb.2020.09529
    Abstract Aim: To investigate the relationship between glaucoma and intraocular pressure (IOP), intracranial pressure (ICP), trans-laminar cribrosa pressure difference (TLCPD), and the newly proposed fractional pressure reserve (FPR). Methods: Ten articles were analyzed by meta-analysis, and subgroup analysis of three factors was conducted. Results: The patients with normal tension glaucoma (NTG) and open-angle glaucoma (OAG) have higher TLCPD and lower ICP than healthy subjects, with obvious heterogeneity. The greater heterogeneity may arise from different ICP measurements and from different countries or regions. FPR performs better than TLCPD in some ways. Conclusion: Both FPR and TLCPD can be used as indicators of… More >

  • Open Access

    ARTICLE

    Hierarchical Rigid Registration of Femur Surface Model Based on Anatomical Features

    Xiaozhong Chen*
    Molecular & Cellular Biomechanics, Vol.17, No.3, pp. 139-153, 2020, DOI:10.32604/mcb.2020.08933
    Abstract Existing model registration of individual bones does not have a high certainly of success due to the lack of anatomic semantic. In light of the surface anatomy and functional structure of bones, we hypothesized individual femur models would be aligned through feature points both in geometrical level and in anatomic level, and proposed a hierarchical approach for the rigid registration (HRR) of point cloud models of femur with high resolution. Firstly, a coarse registration between two simplified point cloud models was implemented based on the extraction of geometric feature points (GFPs); and then, according to the anatomic feature points (AFPs)… More >

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