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  1. Article ; Online: DFT study of common anions adsorption at graphene surface due to anion-π interaction.

    Xiaozhen, Fan / Xing, Liu / Zhenglin, He / Kaiyuan, Zhu / Guosheng, Shi

    Journal of molecular modeling

    2022  Volume 28, Issue 8, Page(s) 225

    Abstract: Using density functional theory (DFT) calculations, we researched the different anions adsorption on the graphene and found that anions can be stably adsorbed on the graphene surface due to the anion-π interaction. The adsorption energy decreased as the ... ...

    Abstract Using density functional theory (DFT) calculations, we researched the different anions adsorption on the graphene and found that anions can be stably adsorbed on the graphene surface due to the anion-π interaction. The adsorption energy decreased as the order of HPO
    Language English
    Publishing date 2022-07-20
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 1284729-X
    ISSN 0948-5023 ; 1610-2940
    ISSN (online) 0948-5023
    ISSN 1610-2940
    DOI 10.1007/s00894-022-05218-4
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Quantization of extraoral free flap monitoring for venous congestion with deep learning integrated iOS applications on smartphones.

    Li, Chunyan / Liu, Wei / Zhu, Zhenglin / Wang, Xing / Zhang, Yanbin

    International journal of surgery (London, England)

    2023  Volume 109, Issue 11, Page(s) 3679–3680

    MeSH term(s) Humans ; Free Tissue Flaps ; Hyperemia/surgery ; Smartphone ; Deep Learning ; Mammaplasty ; Perforator Flap/surgery
    Language English
    Publishing date 2023-11-01
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2212038-5
    ISSN 1743-9159 ; 1743-9191
    ISSN (online) 1743-9159
    ISSN 1743-9191
    DOI 10.1097/JS9.0000000000000626
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Author Correction: Genomic recombination events may reveal the evolution of coronavirus and the origin of SARS-CoV-2.

    Zhu, Zhenglin / Meng, Kaiwen / Meng, Geng

    Scientific reports

    2021  Volume 11, Issue 1, Page(s) 23077

    Language English
    Publishing date 2021-11-23
    Publishing country England
    Document type Published Erratum
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-021-02549-9
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: Applying the digital data and the bioinformatics tools in SARS-CoV-2 research.

    Tan, Meng / Xia, Jiaxin / Luo, Haitao / Meng, Geng / Zhu, Zhenglin

    Computational and structural biotechnology journal

    2023  Volume 21, Page(s) 4697–4705

    Abstract: Bioinformatics has been playing a crucial role in the scientific progress to fight against the pandemic of the coronavirus disease 2019 (COVID-19) caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The advances in novel ... ...

    Abstract Bioinformatics has been playing a crucial role in the scientific progress to fight against the pandemic of the coronavirus disease 2019 (COVID-19) caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The advances in novel algorithms, mega data technology, artificial intelligence and deep learning assisted the development of novel bioinformatics tools to analyze daily increasing SARS-CoV-2 data in the past years. These tools were applied in genomic analyses, evolutionary tracking, epidemiological analyses, protein structure interpretation, studies in virus-host interaction and clinical performance. To promote the
    Language English
    Publishing date 2023-10-01
    Publishing country Netherlands
    Document type Journal Article ; Review
    ZDB-ID 2694435-2
    ISSN 2001-0370
    ISSN 2001-0370
    DOI 10.1016/j.csbj.2023.09.044
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Network pharmacology-based investigation of the effects of Shenqi Fuzheng injection on glioma proliferation and migration via the SRC/PI3K/AKT signaling pathway.

    Li, Shuang / Zhu, Zhenglin / Chen, Zhijian / Guo, Zhenli / Wang, Yan / Li, Xinzhi / Ma, Ketao

    Journal of ethnopharmacology

    2024  Volume 328, Page(s) 118128

    Abstract: Ethnopharmacological relevance: In the clinic, Shenqi Fuzheng Injection (SFI) is used as an adjuvant for cancer chemotherapy. However, the molecular mechanism is unclear.: Aim of the study: We screened potential targets of SFI action on gliomas by ... ...

    Abstract Ethnopharmacological relevance: In the clinic, Shenqi Fuzheng Injection (SFI) is used as an adjuvant for cancer chemotherapy. However, the molecular mechanism is unclear.
    Aim of the study: We screened potential targets of SFI action on gliomas by network pharmacology and performed experiments to validate possible molecular mechanisms against gliomas.
    Materials and methods: We consulted relevant reports on the SFI and glioma incidence from PubMed and Web of Science and focused on the mechanism through which the SFI inhibits glioma. According to the literature, two primary SFI components-Codonopsis pilosula (Franch.) Nannf. and Astragalus membranaceus (Fisch.) Bunge-have been found. All plant names have been sourced from "The Plant List" (www.theplantlist.org). The cell lines U87, T98G and GL261 were used in this study. The inhibitory effects of SFI on glioma cells U87 and T98G were detected by CCK-8 assay, EdU, plate cloning assay, scratch assay, Transwell assay, immunofluorescence, flow cytometry and Western blot. A subcutaneous tumor model of C57BL/6 mice was constructed using GL261 cells, and the SFI was evaluated by HE staining and immunohistochemistry. The targets of glioma and the SFI were screened using network pharmacology.
    Results: A total of 110 targets were enriched, and a total of 26 major active components in the SFI were investigated. There were a total of 3,343 targets for gliomas, of which 79 targets were shared between the SFI and glioma tissues. SFI successfully prevented proliferation and caused cellular S-phase blockage in U87 and T98G cells, thus decreasing their growth. Furthermore, SFI suppressed cell migration by downregulating EMT marker expression. According to the results of the in vivo tests, the SFI dramatically decreased the development of tumors in a transplanted tumour model. Network pharmacological studies revealed that the SRC/PI3K/AKT signaling pathway may be the pathway through which SFI exerts its anti-glioma effects.
    Conclusions: The findings revealed that the SRC/PI3K/AKT signaling pathway may be involved in the mechanism through which SFI inhibits the proliferation and migration of glioma cells.
    MeSH term(s) Mice ; Animals ; Proto-Oncogene Proteins c-akt/metabolism ; Phosphatidylinositol 3-Kinases/metabolism ; Network Pharmacology ; Mice, Inbred C57BL ; Signal Transduction ; Glioma/drug therapy ; Cell Proliferation ; Drugs, Chinese Herbal
    Chemical Substances shenqi fuzheng ; Proto-Oncogene Proteins c-akt (EC 2.7.11.1) ; Phosphatidylinositol 3-Kinases (EC 2.7.1.-) ; Drugs, Chinese Herbal
    Language English
    Publishing date 2024-03-30
    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.2024.118128
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Author Correction

    Zhenglin Zhu / Kaiwen Meng / Geng Meng

    Scientific Reports, Vol 11, Iss 1, Pp 1-

    Genomic recombination events may reveal the evolution of coronavirus and the origin of SARS-CoV-2

    2021  Volume 2

    Keywords Medicine ; R ; Science ; Q
    Language English
    Publishing date 2021-11-01T00:00:00Z
    Publisher Nature Portfolio
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article: RagC GTPase regulates mTOR to promote chemoresistance in senescence-like HepG2 cells.

    Jiang, Wei / Ou, Zhenglin / Zhu, Qin / Zai, Hongyan

    Frontiers in physiology

    2022  Volume 13, Page(s) 949737

    Abstract: Radiotherapy and chemotherapy can arrest cancer cells in a senescence-like state, which can lead to therapy resistance and cancer relapse. mTOR is hyperactivated in senescent cells but the mechanisms remain unclear. In this study, we examine the roles of ...

    Abstract Radiotherapy and chemotherapy can arrest cancer cells in a senescence-like state, which can lead to therapy resistance and cancer relapse. mTOR is hyperactivated in senescent cells but the mechanisms remain unclear. In this study, we examine the roles of several mTOR-regulated GTPases in senescence-like liver cancer cells and the mechanisms in drug resistance. We show that although RagC, Rheb, Rab1A, Rab5 and Arf1 GTPases were required for optimal mTOR activation in proliferating HepG2 cells, only RagC and Rheb are required in the senescence-like counterparts. Consistently, the drug resistance of the senescence-like HepG2 can be reduced by knocking down RagC and Rheb but not the other GTPases. Autophagic and lysosomal activity were increased in senescence-like cells; pharmacological inhibition of autophagy-lysosome decreased mTOR activity and preferentially sensitized senescence-like HepG2 cells to chemotherapy drugs including trametinib, cisplatin, and doxorubicin. In liver cancer patients, expression of RagC and Rheb but not other GTPases examined was associated with unfavorable prognosis. Our study therefore has defined a key role of Rag-Rheb GTPase in mediating mTOR activation and drug resistance in senescence-like HepG2 cells, which could have important implications in developing second-line treatments for liver cancer patients.
    Language English
    Publishing date 2022-10-04
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2564217-0
    ISSN 1664-042X
    ISSN 1664-042X
    DOI 10.3389/fphys.2022.949737
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Multistage Filtration Desalination via Ion Self-Rejection Effect in Cation-Controlled Graphene Oxide Membrane under 1 Bar Operating Pressure.

    Chen, Junjie / Liu, Xing / Ding, Zhoule / He, Zhenglin / Jiang, Huixiong / Zhu, Kaiyuan / Li, Yunzhang / Shi, Guosheng

    Nano letters

    2023  Volume 23, Issue 23, Page(s) 10884–10891

    Abstract: By building a thin graphene oxide membrane with ... ...

    Abstract By building a thin graphene oxide membrane with Na
    Language English
    Publishing date 2023-11-17
    Publishing country United States
    Document type Journal Article
    ISSN 1530-6992
    ISSN (online) 1530-6992
    DOI 10.1021/acs.nanolett.3c03105
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Cryo-EM structures reveal two allosteric inhibition modes of PI3Kα

    Huang, Xiuliang / Wang, Kailiang / Han, Jing / Chen, Xiumei / Wang, Zhenglin / Wu, Tianlun / Yu, Bo / Zhao, Feng / Wang, Xinjuan / Li, Huijuan / Xie, Zhi / Zhu, Xiaotian / Zhong, Wenge / Ren, Xiaoming

    Structure (London, England : 1993)

    2024  

    Abstract: PI3Kα is a lipid kinase that phosphorylates PIP2 and generates PIP3. The hyperactive PI3Kα mutation, H1047R, accounts for about 14% of breast cancer, making it a highly attractive target for drug discovery. Here, we report the cryo-EM structures of ... ...

    Abstract PI3Kα is a lipid kinase that phosphorylates PIP2 and generates PIP3. The hyperactive PI3Kα mutation, H1047R, accounts for about 14% of breast cancer, making it a highly attractive target for drug discovery. Here, we report the cryo-EM structures of PI3Kα
    Language English
    Publishing date 2024-03-26
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1213087-4
    ISSN 1878-4186 ; 0969-2126
    ISSN (online) 1878-4186
    ISSN 0969-2126
    DOI 10.1016/j.str.2024.03.007
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Signalling interaction between β-catenin and other signalling molecules during osteoarthritis development.

    Feng, Jing / Zhang, Qing / Pu, Feifei / Zhu, Zhenglin / Lu, Ke / Lu, William W / Tong, Liping / Yu, Huan / Chen, Di

    Cell proliferation

    2024  , Page(s) e13600

    Abstract: Osteoarthritis (OA) is the most prevalent disorder of synovial joint affecting multiple joints. In the past decade, we have witnessed conceptual switch of OA pathogenesis from a 'wear and tear' disease to a disease affecting entire joint. Extensive ... ...

    Abstract Osteoarthritis (OA) is the most prevalent disorder of synovial joint affecting multiple joints. In the past decade, we have witnessed conceptual switch of OA pathogenesis from a 'wear and tear' disease to a disease affecting entire joint. Extensive studies have been conducted to understand the underlying mechanisms of OA using genetic mouse models and ex vivo joint tissues derived from individuals with OA. These studies revealed that multiple signalling pathways are involved in OA development, including the canonical Wnt/β-catenin signalling and its interaction with other signalling pathways, such as transforming growth factor β (TGF-β), bone morphogenic protein (BMP), Indian Hedgehog (Ihh), nuclear factor κB (NF-κB), fibroblast growth factor (FGF), and Notch. The identification of signalling interaction and underlying mechanisms are currently underway and the specific molecule(s) and key signalling pathway(s) playing a decisive role in OA development need to be evaluated. This review will focus on recent progresses in understanding of the critical role of Wnt/β-catenin signalling in OA pathogenesis and interaction of β-catenin with other pathways, such as TGF-β, BMP, Notch, Ihh, NF-κB, and FGF. Understanding of these novel insights into the interaction of β-catenin with other pathways and its integration into a complex gene regulatory network during OA development will help us identify the key signalling pathway of OA pathogenesis leading to the discovery of novel therapeutic strategies for OA intervention.
    Language English
    Publishing date 2024-01-10
    Publishing country England
    Document type Journal Article ; Review
    ZDB-ID 1064202-x
    ISSN 1365-2184 ; 0008-8730 ; 0960-7722
    ISSN (online) 1365-2184
    ISSN 0008-8730 ; 0960-7722
    DOI 10.1111/cpr.13600
    Database MEDical Literature Analysis and Retrieval System OnLINE

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