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  • Open Access

    REVIEW

    Precise tissue bioengineering and niches of mesenchymal stem cells: Their size and hierarchy matter

    IGOR A. KHLUSOV1,*, LARISA S. LITVINOVA2,*, KRISTINA A. YUROVA2, MARINA Y. KHLUSOVA3

    BIOCELL, Vol.46, No.6, pp. 1365-1373, 2022, DOI:10.32604/biocell.2022.018917

    Abstract Stem cell microterritories (niches), as a specialized part of the extracellular matrix (ECM), are considered an important target and tool for the development of new materials, medical implants, and devices. However, tissue bioengineering products that have stem cell niches of known size on the surface or in the bulk structure of artificial materials are practically unknown. This brief review attempts to draw attention to the problematic aspects of niches as specific parts of the ECM, such as their hierarchy and size for mesenchymal stromal/stem cells (MSCs). These parameters arise directly from numerous definitions of stem cell niches as specialized morphological… More >

  • Open Access

    VIEWPOINT

    New paradigms in regenerative engineering: Emerging role of extracellular vesicles paired with instructive biomaterials

    W. BENTON SWANSON, YUJI MISHINA*

    BIOCELL, Vol.46, No.6, pp. 1445-1451, 2022, DOI:10.32604/biocell.2022.018781

    Abstract Mesenchymal stem cells (MSCs) have long been regarded as critical components of regenerative medicine strategies, given their multipotency and persistence in a variety of tissues. Recently, the specific role of MSCs in mediating regenerative outcomes has been attributed (in part) to secreted factors from transplanted cells, namely extracellular vesicles. This viewpoint manuscript highlights the promise of cell-derived extracellular vesicles as agents of regeneration, enhanced by synergy with appropriate biomaterials platforms. Extracellular vesicles are a potentially interesting regenerative tool to enhance the synergy between MSCs and biomaterials. As a result, we believe these technologies will improve patient outcomes through efficient therapeutic… More >

  • Open Access

    ARTICLE

    miR-181b promotes the oncogenesis of renal cell carcinoma by targeting TIMP3

    YUHUA ZOU1,#, LEI ZHANG2,#, XIN ZHONG3,*

    BIOCELL, Vol.46, No.5, pp. 1309-1317, 2022, DOI:10.32604/biocell.2022.018167

    Abstract Renal cell carcinoma (RCC) has a poor prognosis due to limited diagnosis and treatment. Thus, it is necessary to find novel prognostic biomarkers and therapeutic targets. The aberrant expression of microRNAs plays an important role in RCC oncogenesis. Tissue inhibitors of metalloproteinase 3 (TIMP3) acts as a downstream target of miR-181b. The aim of this study was to understand the role and molecular mechanism of miR-181b in RCC oncogenesis. The results showed that miR-181b expression was significantly higher in RCC tumour tissues, especially in those with significant invasion or metastasis. miR-181b overexpression promoted proliferation and migration of the RCC cell… More >

  • Open Access

    ARTICLE

    Identification of Denatured Biological Tissues Based on Improved Variational Mode Decomposition and Autoregressive Model during HIFU Treatment

    Bei Liu1, Xian Zhang2,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.130, No.3, pp. 1547-1563, 2022, DOI:10.32604/cmes.2022.018130

    Abstract During high-intensity focused ultrasound (HIFU) treatment, the accurate identification of denatured biological tissue is an important practical problem. In this paper, a novel method based on the improved variational mode decomposition (IVMD) and autoregressive (AR) model was proposed, which identified denatured biological tissue according to the characteristics of ultrasonic scattered echo signals during HIFU treatment. Firstly, the IVMD method was proposed to solve the problem that the VMD reconstruction signal still has noise due to the limited number of intrinsic mode functions (IMF). The ultrasonic scattered echo signals were reconstructed by the IVMD to achieve denoising. Then, the AR model… More >

  • Open Access

    VIEWPOINT

    Mesenchymal stem cells-derived extracellular vesicles as ‘natural’ drug delivery system for tissue regeneration

    KENJI TSUJI*, SHINJI KITAMURA, JUN WADA

    BIOCELL, Vol.46, No.4, pp. 899-902, 2022, DOI:10.32604/biocell.2022.018594

    Abstract Mesenchymal stem cells (MSCs) have abilities to mediate tissue protection through mechanisms of anti-apoptosis, anti-oxidative stress and anti-fibrosis as well as tissue regeneration through mechanisms of cell proliferation, differentiation and angiogenesis. These effects by MSCs are mediated by a variety of factors, including growth factors, cytokines and extracellular vesicles (EVs). Among these factors, EVs, containing proteins, mRNA and microRNAs (miRNA), may carry their contents into distant tissues with high stability. Therefore, the treatment with MSC-derived EVs may be promising as ‘natural’ drug delivery systems (DDS). Especially, the treatment of MSC-derived EVs with the manipulation of specific miRNAs expression has been… More >

  • Open Access

    ARTICLE

    Tissue specific prediction of N6-methyladenine sites based on an ensemble of multi-input hybrid neural network

    CANGZHI JIA1, DONG JIN1, XIN WANG1, QI ZHAO2,*

    BIOCELL, Vol.46, No.4, pp. 1105-1121, 2022, DOI:10.32604/biocell.2022.016655

    Abstract N6-Methyladenine is a dynamic and reversible post translational modification, which plays an essential role in various biological processes. Because of the current inability to identify m6A-containing mRNAs, computational approaches have been developed to identify m6A sites in DNA sequences. Aiming to improve prediction performance, we introduced a novel ensemble computational approach based on three hybrid deep neural networks, including a convolutional neural network, a capsule network, and a bidirectional gated recurrent unit (BiGRU) with the self-attention mechanism, to identify m6A sites in four tissues of three species. Across a total of 11 datasets, we selected different feature subsets, after optimized… More >

  • Open Access

    ARTICLE

    Genotype Screening of Recipient Resources with High Regeneration and Transformation Efficiency in Chrysanthemum

    Yajun Li1,#, Yumeng Cui1,#, Bingjie Wang1, Yue Li1, Mengmeng Zhang2, Silan Dai1, He Huang1,*

    Phyton-International Journal of Experimental Botany, Vol.91, No.4, pp. 869-888, 2022, DOI:10.32604/phyton.2022.018659

    Abstract Genetic transformation is one of the key steps in the molecular breeding of chrysanthemum, which relies on an optimal regeneration and transformation system. However, the regeneration system of different chrysanthemum cultivars varies, and the regeneration time of most cultivars is long. To screen cultivars with highly efficient regeneration, leaves and shoot tip thin cell layers (tTCL) from eight chrysanthemum cultivars with different flower colors and flower types were cultured on Murashige and Skoog media (MS) supplemented with 1.0–5.0 mg L−1 6-benzylaminopurine (6-BA) and 0.1–1.0 mg L−1 α-naphthaleneacetic (NAA). The results showed that the most efficient regeneration media were MS +… More >

  • Open Access

    ARTICLE

    Deformation Expression of Soft Tissue Based on BP Neural Network

    Xiaorui Zhang1,2,*, Xun Sun1, Wei Sun2, Tong Xu1, Pengpai Wang1, Sunil Kumar Jha3

    Intelligent Automation & Soft Computing, Vol.32, No.2, pp. 1041-1053, 2022, DOI:10.32604/iasc.2022.016543

    Abstract This paper proposes a soft tissue grasping deformation model, where BP neural network optimized by the genetic algorithm is used to realize the real-time and accurate interaction of soft tissue grasping during virtual surgery. In the model, the soft tissue epidermis is divided into meshes, and the meshes generate displacements under the action of tension. The relationship between the tension and displacement of the mesh is determined by the proposed cylindrical spiral spring model. The optimized BP neural network is trained based on the sample data of the mesh point and vertical tension, so as to obtain the force and… More >

  • Open Access

    REVIEW

    A review from mesenchymal stem-cells and their small extracellular vesicles in tissue engineering

    ODIN RAMIREZ-FERNANDEZ1,2, ESMERALDA ZUÑIGA-AGUILAR3,*

    BIOCELL, Vol.46, No.2, pp. 325-338, 2022, DOI:10.32604/biocell.2022.016892

    Abstract This review aims to offer a vision of the clinical reality of cell therapy today in intensive medicine. For this, it has been carried out a description of the properties, functions, and Mesenchymal Stem Cells (MSCS) sources to subsequently address the evidence in preclinical models and studies clinical trials with whole cells and models attributed to small extracellular vesicles (sEVs), nanoparticles made up of microvesicles secreted by cells with an effect on the extracellular matrix, and their impact as an alternative towards cell-free regenerative medicine. MSCs are cells that enhance the regenerative capacity which can be differentiated typically in different… More >

  • Open Access

    ARTICLE

    Differential metabolome landscape of Kadsura coccinea fruit tissues and potential valorization of the peel and seed tissues

    JIANFEI GAO1, KANGNING XIONG2,*, WEIJIE LI1, WEI ZHOU3

    BIOCELL, Vol.46, No.1, pp. 285-296, 2022, DOI:10.32604/biocell.2021.016253

    Abstract Kadsura coccinea (Lem.) is a woody wine plant with a peculiar fruit enriched in important health-promoting compounds. The non-editable part of the fruit, i.e., the seed and peel, represents more than 60% of the fruit and is considered a biowaste. This significantly restricts the development of the K. coccinea fruit industry. Clarifying the metabolic components of the different fruit parts can help to improve the utilization rate and valorization of K. coccinea. Herein, we evaluated K. coccinea fruit peel, pulp, and seed using widely-targeted metabolomics and quantified a set of 736 bioactive compounds from 11 major metabolite classes. The most… More >

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