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  1. Article ; Online: Fu Fang Gang Liu aqueous extract inhibits the proliferation of HeLa cells by causing deoxyribonucleic acid damage.

    Fan, Zhu / Wang, Shuxin / Xu, Chenchen / Yang, Jiao / Huang, Xiahe / Xu, Honglin / Wang, Yingchun / Meng, Wenxiang / Cui, Bingnan

    Journal of ethnopharmacology

    2022  Volume 304, Page(s) 116083

    Abstract: Ethnopharmacological relevance: Fu Fang Gang Liu (FFGL) is an effective formula for treating wart ...

    Abstract Ethnopharmacological relevance: Fu Fang Gang Liu (FFGL) is an effective formula for treating wart proliferation caused by human papillomavirus (HPV) infection and has the potential to treat HPV-related cancers. However, scientific evidence of its anti-tumor activity against cervical cancer, the most common cancer caused by HPV, is lacking.
    Aim of the study: To clarify the anti-tumor effect of an FFGL aqueous extract on human cervical cancer and its possible mechanism of cell cycle arrest in HeLa cells.
    Materials and methods: The anti-proliferative effect of FFGL on cervical cancer cells was assessed using the cell counting kit-8 assay. The proportion of apoptotic cells, cell cycle distribution, and cell division rate were determined using flow cytometry. Quantitative proteomics was used to identify differentially expressed proteins after FFGL treatment, and bioinformatics analysis was used to identify key nodal proteins affected by FFGL. Immunofluorescence and western blot analyses were used to explore changes in the expression of related proteins in the cell cycle and DNA damage pathways to elucidate the potential mechanism of action of FFGL against HeLa cell proliferation.
    Results: FFGL inhibited cervical cancer cell proliferation and caused cell cycle arrest. According to quantitative proteomics, CyclinB1 may play an important role in the anti-proliferative effect of FFGL on HeLa cells. Additional experiments showed that FFGL aqueous extract caused ATM-mediated DNA damage, further phosphorylated CHK2, led to the inactivation of Cdc25C, inhibited the activity of the CDK1/CyclinB1 complex, and resulted in cell cycle arrest.
    Conclusions: FFGL can inhibit cervical cancer cell proliferation. Furthermore, it can increase CDK1 phosphorylation, block the cell cycle by causing DNA damage, and inhibit HeLa cell proliferation.
    MeSH term(s) Female ; Humans ; HeLa Cells ; Uterine Cervical Neoplasms/pathology ; Papillomavirus Infections ; Cell Proliferation ; DNA ; Apoptosis
    Chemical Substances DNA (9007-49-2)
    Language English
    Publishing date 2022-12-28
    Publishing country Ireland
    Document type Journal Article
    ZDB-ID 134511-4
    ISSN 1872-7573 ; 0378-8741
    ISSN (online) 1872-7573
    ISSN 0378-8741
    DOI 10.1016/j.jep.2022.116083
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Book: Tai wan shi gang

    Huang, Dashou

    1999  

    Author's details Huang da shou zhu
    Language Chinese
    Dates of publication 1999-1982
    Size [9],351 S, 21 cm
    Edition Chu ban, liu shua
    Publisher San min shu ju
    Publishing place Tai bei
    Document type Book
    ISBN 9571407127 ; 9789571407128
    Database Former special subject collection: coastal and deep sea fishing

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  3. Book: "Yu zhu jin gang bo re bo luo mi jing xuan yan"

    Huang, Zheng / Jiang, Yin

    (Dun huang shu fa jing pin xuan ; / Huang Zheng, Jiang Yin bian zhu[...])

    2005  

    Series title Dun huang shu fa jing pin xuan
    / Huang Zheng, Jiang Yin bian zhu[...]
    Language Chinese
    Size 26 S, Ill
    Publisher Xi ling yin she
    Publishing place Hangzhou
    Document type Book
    ISBN 7805179263 ; 9787805179261
    Database Former special subject collection: coastal and deep sea fishing

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  4. Book ; Online ; E-Book: Personalized pathway-activated systems imaging in oncology

    Inoue, Tomio / Yang, David / Huang, Gang

    principal and instrumentation

    2017  

    Author's details Tomio Inoue, David Yang, Gang Huang editors
    Keywords FDG PET ; Nuclear biomarker ; Nuclear imaging ; Personalized treatment ; Radiopharmaceutical ; Theranostic
    Subject code 610
    Language English
    Size 1 Online-Ressource (xii, 243 Seiten), Illustrationen
    Publisher Springer
    Publishing place Singapore
    Publishing country Singapore
    Document type Book ; Online ; E-Book
    Remark Zugriff für angemeldete ZB MED-Nutzerinnen und -Nutzer
    HBZ-ID HT019402523
    ISBN 978-981-10-3349-0 ; 9789811033483 ; 981-10-3349-8 ; 981103348X
    DOI 10.1007/978-981-10-3349-0
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  5. Book: Shen jing bing xue gang yao

    Huang, Keqing

    1983  

    Author's details Huang Keqing, Lin Zhihua bian [xie]
    MeSH term(s) Nervous System Diseases
    Language Chinese
    Size 9, 326 p. :, ill.
    Edition Di 1 ban.
    Publisher Fujian ke xue ji shu chu ban she : Fujian sheng xin hua shu dian fa xing
    Publishing place Fuzhou
    Document type Book
    Database Catalogue of the US National Library of Medicine (NLM)

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  6. Article ; Online: Research on automatic classification method of mobile laser point cloud data based on deep learning

    HUANG Gang

    Acta Geodaetica et Cartographica Sinica, Vol 51, Iss 5, Pp 786-

    2022  Volume 786

    Keywords Mathematical geography. Cartography ; GA1-1776
    Language Chinese
    Publishing date 2022-05-01T00:00:00Z
    Publisher Surveying and Mapping Press
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article: Editorial: Novel insights about subchondral bone remodeling in arthropathies.

    Yang, Chuan / Deng, Zihan / Huang, Gang / Chen, Yueqi

    Frontiers in physiology

    2024  Volume 15, Page(s) 1369928

    Language English
    Publishing date 2024-02-01
    Publishing country Switzerland
    Document type Editorial
    ZDB-ID 2564217-0
    ISSN 1664-042X
    ISSN 1664-042X
    DOI 10.3389/fphys.2024.1369928
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Collective motion of chiral particles in complex noise environments.

    Huang, Jun / Shao, Zhi-Gang

    The European physical journal. E, Soft matter

    2024  Volume 47, Issue 2, Page(s) 11

    Abstract: Collective motion of chiral particles in complex noise environments is investigated based on the Vicsek model. In the model, we added chirality, along with complex noise, affecting particles clustering motion. Particles can only avoid noise interference ... ...

    Abstract Collective motion of chiral particles in complex noise environments is investigated based on the Vicsek model. In the model, we added chirality, along with complex noise, affecting particles clustering motion. Particles can only avoid noise interference in a specific channel, and this consideration is more realistic due to the complexity of the environment. Via simulations, we find that the channel proportion, p, critically influences chiral particle synchronization. Specifically, we observe a disorder-order transition at critical [Formula: see text], only when [Formula: see text], the system can achieve global synchronization. Combined with our definition of spatial distribution parameter and observation of the model, the reason is that particles begin to escape from the noise region under the influence of complex noise. In addition, the value of [Formula: see text] increases linearly with velocity, while it decreases monotonically with the increase in chirality and interaction radius. Interestingly, an appropriate noise amplitude minimizes [Formula: see text]. Our findings may inspire novel strategies to manipulate self-propelled particles of distinct chirality to achieve desired spatial migration and global synchronization.
    Language English
    Publishing date 2024-02-06
    Publishing country France
    Document type Journal Article
    ZDB-ID 2004003-9
    ISSN 1292-895X ; 1292-8941
    ISSN (online) 1292-895X
    ISSN 1292-8941
    DOI 10.1140/epje/s10189-023-00403-6
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Triplet-triplet annihilation photon upconversion-mediated photochemical reactions.

    Huang, Ling / Han, Gang

    Nature reviews. Chemistry

    2024  Volume 8, Issue 4, Page(s) 238–255

    Abstract: Photon upconversion is a method for harnessing high-energy excited states from low-energy photons. Such photons, particularly in the red and near-infrared wavelength ranges, can penetrate tissue deeply and undergo less competitive absorption in coloured ... ...

    Abstract Photon upconversion is a method for harnessing high-energy excited states from low-energy photons. Such photons, particularly in the red and near-infrared wavelength ranges, can penetrate tissue deeply and undergo less competitive absorption in coloured reaction media, enhancing the efficiency of large-scale reactions and in vivo phototherapy. Among various upconversion methodologies, the organic-based triplet-triplet annihilation upconversion (TTA-UC) stands out - demonstrating high upconversion efficiencies, requiring low excitation power densities and featuring tunable absorption and emission wavelengths. These factors contribute to improved photochemical reactions for fields such as photoredox catalysis, photoactivation, 3D printing and immunotherapy. In this Review, we explore concepts and design principles of organic TTA-UC-mediated photochemical reactions, highlighting notable advancements in the field, as well as identify challenges and propose potential solutions. This Review sheds light on the potential of organic TTA-UC to advance beyond the traditional photochemical reactions and paves the way for research in various fields and clinical applications.
    Language English
    Publishing date 2024-03-21
    Publishing country England
    Document type Journal Article ; Review
    ISSN 2397-3358
    ISSN (online) 2397-3358
    DOI 10.1038/s41570-024-00585-3
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Refined machine learning modeling of reservoir discharge water temperature

    Xiang Huang / Gang Chen

    Frontiers in Environmental Science, Vol

    2024  Volume 11

    Abstract: Water temperature is a controlling factor for physical, biological, and chemical processes in rivers, and is closely related to hydrological factors. The construction of reservoirs interferes with natural water temperature fluctuations. Hence ... ...

    Abstract Water temperature is a controlling factor for physical, biological, and chemical processes in rivers, and is closely related to hydrological factors. The construction of reservoirs interferes with natural water temperature fluctuations. Hence constructing a model to accurately and efficiently predict the reservoir discharge water temperature (DWT) is helpful for the protection of river water ecology. Although there have been studies on constructing efficient and accurate machine learning prediction models for DWT, to our knowledge, there is currently no research focused on hourly scales. The study proposed in this paper is based on high-frequency monitoring data of vertical water temperature in front of a dam, water level, discharge flow, and DWT. In this study, six types of machine learning algorithms, namely, support vector regression, linear regression, k-nearest neighbor, random forest regressor, gradient boosting regression tree, and multilayer perceptron neural network, were used to construct a refined prediction model for DWT. The results indicated that the SVR model using the radial basis function as the kernel function had the best modeling performance. Based on the SVR model, we constructed a 1–24 h early warning model and optimized the scheduling of DWT based on changing discharge flow. In summary, a machine learning model for DWT that can provide short-term forecasting and decision support for reservoir managers was refined in this study.
    Keywords vertical water temperature ; discharge water temperature ; machine learning ; support vector regression ; reservoir management ; Environmental sciences ; GE1-350
    Subject code 550
    Language English
    Publishing date 2024-01-01T00:00:00Z
    Publisher Frontiers Media S.A.
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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