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  1. Article ; Online: Selectively targeting individual bromodomain: Drug discovery and molecular mechanisms.

    Wang, Qianqian / Shao, Xiaomin / Leung, Elaine Lai Han / Chen, Yingqing / Yao, Xiaojun

    Pharmacological research

    2021  Volume 172, Page(s) 105804

    Abstract: Bromodomain-containing proteins include bromodomain and extra-terminal (BET) and non-BET families. Due to the conserved bromodomain (BD) module between BD-containing proteins, and especially BETs with each member having two BDs (BD1 and BD2), the high ... ...

    Abstract Bromodomain-containing proteins include bromodomain and extra-terminal (BET) and non-BET families. Due to the conserved bromodomain (BD) module between BD-containing proteins, and especially BETs with each member having two BDs (BD1 and BD2), the high degree of structural similarity makes BD-selective inhibitors much difficult to be designed. However, increasing evidences emphasized that individual BDs had distinct functions and different cellular phenotypes after pharmacological inhibition, and selectively targeting one of the BDs could result in a different efficacy and tolerability profile. This review is to summarize the pioneering progress of BD-selective inhibitors targeting BET and non-BET proteins, focusing on their structural features, biological activity, therapeutic application and experimental/theoretical mechanisms. The present proteolysis targeting chimeras (PROTAC) degraders targeting BDs, and clinical status of BD-selective inhibitors were also analyzed, providing a new insight into future direction of bromodomain-selective drug discovery.
    MeSH term(s) Animals ; Drug Discovery ; Humans ; Peptides/pharmacology ; Protein Domains ; Proteins/antagonists & inhibitors ; Proteins/chemistry
    Chemical Substances Peptides ; Proteins ; bromodomain and extra-terminal domain protein, human
    Language English
    Publishing date 2021-08-25
    Publishing country Netherlands
    Document type Journal Article ; Research Support, Non-U.S. Gov't ; Review
    ZDB-ID 1003347-6
    ISSN 1096-1186 ; 0031-6989 ; 1043-6618
    ISSN (online) 1096-1186
    ISSN 0031-6989 ; 1043-6618
    DOI 10.1016/j.phrs.2021.105804
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Stemness maintenance of stem cells derived from human exfoliated deciduous teeth (SHED) in 3D spheroid formation through the TGF-β/Smad signaling pathway.

    Li, Hongwen / Jiang, Jing / Kong, Haiying / Wu, Wenbo / Shao, Xiaomin / Qiu, Shuqi / Zeng, Xianhai / Zhong, Qinghong / Yao, Xinhui / Zeng, Xiantao / Gou, Lingshan / Xu, Jian

    The Journal of clinical pediatric dentistry

    2023  Volume 47, Issue 6, Page(s) 74–85

    Abstract: Mesenchymal stem cells (MSCs) have shown great potential as important therapeutic tools for dental pulp tissue engineering, with the maintenance and enhancement of their stemness being crucial for successful therapeutic ... ...

    Abstract Mesenchymal stem cells (MSCs) have shown great potential as important therapeutic tools for dental pulp tissue engineering, with the maintenance and enhancement of their stemness being crucial for successful therapeutic application
    MeSH term(s) Humans ; Stem Cells/metabolism ; Mesenchymal Stem Cells/physiology ; Transforming Growth Factor beta/metabolism ; Signal Transduction ; Tooth, Deciduous ; Cells, Cultured ; Dental Pulp
    Chemical Substances Transforming Growth Factor beta
    Language English
    Publishing date 2023-11-03
    Publishing country Singapore
    Document type Journal Article
    ZDB-ID 1062408-9
    ISSN 1053-4628 ; 0145-5508
    ISSN 1053-4628 ; 0145-5508
    DOI 10.22514/jocpd.2023.081
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Targeting protein arginine methyltransferase 5 in cancers: Roles, inhibitors and mechanisms.

    Chen, Yingqing / Shao, Xiaomin / Zhao, Xiangge / Ji, Yuan / Liu, Xiaorong / Li, Peixuan / Zhang, Mingyu / Wang, Qianqian

    Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie

    2021  Volume 144, Page(s) 112252

    Abstract: The protein arginine methyltransferase 5 (PRMT5) as the major type II arginine methyltransferase catalyzes the mono- and symmetric dimethylation of arginine residues in both histone and non-histone proteins. Recently, increasing evidence has demonstrated ...

    Abstract The protein arginine methyltransferase 5 (PRMT5) as the major type II arginine methyltransferase catalyzes the mono- and symmetric dimethylation of arginine residues in both histone and non-histone proteins. Recently, increasing evidence has demonstrated that PRMT5 plays an indispensable role in the occurrence and development of various human cancers by promoting the cell proliferation, invasion, and migration. It has become a promising and valuable target in the cancer epigenetic therapy. This review is to summarize the clinical significance of PRMT5 in the cancers such as lung cancer, breast cancer and colorectal cancer, and the drug discovery targeting PRMT5. Importantly, the existing PRMT5 inhibitors representing different molecular mechanisms, and their pharmacological effect, mechanism of action and biological affinity are analyzed. Clinical status, current problems and future perspective of PRMT5 inhibitors for the treatment of cancers are also discussed, all of which provides crucial help for the future discovery of PRMT5 targeted drugs for cancer treatment.
    MeSH term(s) Animals ; Antineoplastic Agents/adverse effects ; Antineoplastic Agents/therapeutic use ; Enzyme Inhibitors/adverse effects ; Enzyme Inhibitors/therapeutic use ; Gene Expression Regulation, Neoplastic ; Humans ; Molecular Targeted Therapy ; Neoplasms/drug therapy ; Neoplasms/enzymology ; Neoplasms/pathology ; Protein-Arginine N-Methyltransferases/antagonists & inhibitors ; Protein-Arginine N-Methyltransferases/metabolism ; Signal Transduction
    Chemical Substances Antineoplastic Agents ; Enzyme Inhibitors ; PRMT5 protein, human (EC 2.1.1.319) ; Protein-Arginine N-Methyltransferases (EC 2.1.1.319)
    Language English
    Publishing date 2021-10-04
    Publishing country France
    Document type Journal Article ; Review
    ZDB-ID 392415-4
    ISSN 1950-6007 ; 0753-3322 ; 0300-0893
    ISSN (online) 1950-6007
    ISSN 0753-3322 ; 0300-0893
    DOI 10.1016/j.biopha.2021.112252
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: Large-Scale Spatial Patterns of Grassland Community Properties in the Inner Mongolia Autonomous Region, China

    Qiao, YuXin / Zhu, HuaZhong / Li, Yuzhe / Shao, Xiaomin / Zhong, HuaPing / Shi, Hua / Wu, ZhaoWen

    The Society for Range Management Rangeland ecology & management. 2020 July, v. 73, no. 4

    2020  

    Abstract: Mapping large-scale spatial patterns of grassland community properties in the Inner Mongolia Autonomous Region of China and learning how they are affected by environmental factors are vital to understand grassland changes in response to climate change ... ...

    Abstract Mapping large-scale spatial patterns of grassland community properties in the Inner Mongolia Autonomous Region of China and learning how they are affected by environmental factors are vital to understand grassland changes in response to climate change and human activity. We collected data on six grassland community properties across 198 sample plots in the Inner Mongolia Autonomous Region: height, coverage, aboveground biomass (AGB), belowground biomass (BGB), soil bulk density (SBD), and species number (SN). We then analyzed the relationship between these and a range of environmental factors, including elevation, mean annual temperature (MAT), mean annual precipitation (MAP), ≥ 10 C annual accumulated temperature, humidity index, and normalized difference vegetation index (NDVI), using correlation and regression analysis. On the basis of the regression equation, we undertook a multifactor model using ArcGIS, in which different weights were assigned to each factor according to the degree of fitness between the estimated results and measured data. We then mapped the spatial distribution of grassland community properties in Inner Mongolia. We found a significant correlation between all of the grassland community properties and environmental factors measured (P < 0.01). In terms of spatial patterns, SN, height, coverage, AGB, and BGB were positively correlated with the transition from desert grassland to meadow grassland. The community properties model provided good results, with average accuracies of 53.05–90.21% and R² values of 0.40–0.68 (P < 0.01) across the six grassland community properties. The multifactor comprehensive model provides significant correlation between the predicted results and measured data. Therefore, this could be used as a basis for future studies on Inner Mongolia grasslands and to understand temporal and spatial changes of grassland in response to human activity and climate change.
    Keywords aboveground biomass ; administrative management ; atmospheric precipitation ; belowground biomass ; climate change ; ecology ; equations ; heat sums ; humans ; humidity ; meadows ; models ; normalized difference vegetation index ; rangelands ; regression analysis ; soil density ; temperature ; China
    Language English
    Dates of publication 2020-07
    Size p. 560-568.
    Publishing place Elsevier Inc.
    Document type Article
    Note NAL-AP-2-clean
    ZDB-ID 2235093-7
    ISSN 1550-7424
    ISSN 1550-7424
    DOI 10.1016/j.rama.2020.02.003
    Database NAL-Catalogue (AGRICOLA)

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  5. Article: Solid-Phase Microextraction Method for the Determination of Volatile Compounds in Hydrolysates of Alaska Pollock Frame

    Hou, Hu / Zhao, Xue / Li, Bafang / Li, Pinglin / Zhang, Zhaohui / Shao, Xiaomin / Pang, Weijian / Qu, Xin

    International journal of food properties. 2013 May 19, v. 16, no. 4

    2013  

    Abstract: The volatile compounds in Alaska pollock frame and Alaska pollock frame hydrolysates were analyzed by solid-phase microextraction and gas chromatography-mass spectrometry for identifying and comparing their flavor characteristics. The optimized SPME ... ...

    Abstract The volatile compounds in Alaska pollock frame and Alaska pollock frame hydrolysates were analyzed by solid-phase microextraction and gas chromatography-mass spectrometry for identifying and comparing their flavor characteristics. The optimized SPME extraction conditions were 75 μm carboxen/polydimethyl siloxane fiber, adsorption time of 40 min, and extraction temperature of 65°C. Compared to Alaska pollock frame, Alaska pollock frame hydrolysates have more aromas detected and identified. Numerous volatile compounds were responsible for the overall aroma of Alaska pollock frame hydrolysates, such as 1-penten-3-ol, 2-penten-1-ol, ethyl acetate, methacrolein, 3-methylbutanal, hexanal, octanal, nonanal, 6-methyl-5-hepten-2-one, and so on. However, only a relatively small proportion showed similar composition. Although Alaska pollock frame hydrolysates was prepared by the same raw material, each Alaska pollock frame hydrolysate exhibited its individual flavor characteristics. Thus, the type of enzyme was probably one of the important factors affecting the differences of volatile compound composition and Alaska pollock frame hydrolysate flavor. Compared to other Alaska pollock frame hydrolysates, FPH5 (hydrolysates prepared by mixed enzymes for animal proteolysis) exhibited less fishy odor. It can be used as an effective approach to improve product quality.
    Keywords Theragra chalcogramma ; adsorption ; animals ; enzymes ; ethyl acetate ; flavor ; gas chromatography ; hydrolysates ; mass spectrometry ; odors ; proteolysis ; raw materials ; solid phase extraction ; temperature ; volatile compounds
    Language English
    Dates of publication 2013-0519
    Size p. 790-802.
    Publishing place Taylor & Francis Group
    Document type Article
    ZDB-ID 1402715-x
    ISSN 1532-2386 ; 1094-2912
    ISSN (online) 1532-2386
    ISSN 1094-2912
    DOI 10.1080/10942912.2011.567429
    Database NAL-Catalogue (AGRICOLA)

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  6. Article: Solid-Phase Microextraction Method for the Determination of Volatile Compounds in Hydrolysates of Alaska Pollock Frame

    Hou, Hu / Zhao, Xue / Li, Bafang / Li, Pinglin / Zhang, Zhaohui / Shao, Xiaomin / Pang, Weijian / Qu, Xin

    International journal of food properties

    2013  Volume 16, Issue 4/6, Page(s) 790

    Document type Article
    ZDB-ID 1402715-x
    ISSN 1094-2912
    Database Current Contents Nutrition, Environment, Agriculture

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  7. Article: Discrepancy measures for selecting optimal combination of parameter values in object-based image analysis

    Liu, Yong / Bian, Ling / Meng, Yuhong / Wang, Huanping / Zhang, Shifu / Yang, Yining / Shao, Xiaomin / Wang, Bo

    ISPRS journal of photogrammetry and remote sensing

    Volume v. 68

    Abstract: Most object-based image analysis use parameters to control the size, shape, and homogeneity of segments. Because each parameter may take a range of possible values, different combinations of value between parameters may produce different segmentation ... ...

    Abstract Most object-based image analysis use parameters to control the size, shape, and homogeneity of segments. Because each parameter may take a range of possible values, different combinations of value between parameters may produce different segmentation results. Assessment of segmentation quality, such as the discrepancy between reference polygons and corresponding image segments, can be used to identify the optimal combination of parameter values. In this research, we (1) evaluate four existing indices that describe the discrepancy between reference polygons and corresponding segments, (2) propose three new indices to evaluate both geometric and arithmetic discrepancies, and (3) compare the effectiveness of the existing and proposed indices in identifying optimal combinations of parameter values for image segmentation through a case study. A Landsat 5 Thematic Mapper (TM) image and an ALOS image of arid Northwestern China were used in the case study. The four existing indices include Quality Rate (QR), Over-segmentation Rate (OR), Under-segmentation Rate (UR), and Euclidean Distance 1 (ED1). The three proposed discrepancy indices include Potential Segmentation Error (PSE), Number-of-Segments Ratio (NSR), and Euclidean Distance 2 (ED2). These indices measure overlap, over-segmentation, and under-segmentation between reference polygons and corresponding image segments. Results show that the three proposed indices PSE, NSR, and ED2 are more effective than the four existing indices QR, OR, UR, and ED1 in their ability to identify optimal combinations of parameter values. ED2 that represents both geometric (PSE) and arithmetic (NSR) discrepancies is most effective.
    Keywords case studies ; Landsat ; image analysis
    Language English
    Document type Article
    ISSN 0924-2716
    Database AGRIS - International Information System for the Agricultural Sciences and Technology

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