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  1. Article ; Online: HIV Preintegration Transcription and Host Antagonism.

    Wu, Yuntao

    Current HIV research

    2023  Volume 21, Issue 3, Page(s) 160–171

    Abstract: Retrovirus integration is an obligatory step for the viral life cycle, but large amounts of unintegrated DNA (uDNA) accumulate during retroviral infection. For simple retroviruses, in the absence of integration, viral genomes are epigenetically silenced ... ...

    Abstract Retrovirus integration is an obligatory step for the viral life cycle, but large amounts of unintegrated DNA (uDNA) accumulate during retroviral infection. For simple retroviruses, in the absence of integration, viral genomes are epigenetically silenced in host cells. For complex retroviruses such as HIV, preintegration transcription has been found to occur at low levels from a large population of uDNA even in the presence of host epigenetic silencing mechanisms. HIV preintegration transcription has been suggested to be a normal early process of HIV infection that leads to the syntheses of all three classes of viral transcripts: multiply-spliced, singly-spliced, and unspliced genomic RNA; only viral early proteins such as Nef are selectively translated at low levels in blood CD4 T cells and macrophages, the primary targets of HIV. The initiation and persistence of HIV preintegration transcription have been suggested to rely on viral accessory proteins, particularly virion Vpr and de novo Tat generated from uDNA; both proteins have been shown to antagonize host epigenetic silencing of uDNA. In addition, stimulation of latently infected resting T cells and macrophages with cytokines, PKC activator, or histone deacetylase inhibitors has been found to greatly upregulate preintegration transcription, leading to low-level viral production or even replication from uDNA. Functionally, Nef synthesized from preintegration transcription is biologically active in modulating host immune functions, lowering the threshold of T cell activation, and downregulating surface CD4, CXCR4/CCR5, and HMC receptors. The early Tat activity from preintegration transcription antagonizes repressive minichromatin assembled onto uDNA. The study of HIV preintegration transcription is important to understanding virus-host interaction and antagonism, viral persistence, and the mechanism of integrase drug resistance. The application of unintegrated lentiviral vectors for gene therapy also offers a safety advantage for minimizing retroviral vector-mediated insertional mutagenesis.
    MeSH term(s) Humans ; HIV Infections ; HIV-1/physiology ; CD4-Positive T-Lymphocytes ; Viral Proteins/genetics ; DNA, Viral/genetics ; Transcription, Genetic
    Chemical Substances Viral Proteins ; DNA, Viral
    Language English
    Publishing date 2023-06-21
    Publishing country Netherlands
    Document type Journal Article ; Research Support, N.I.H., Extramural
    ZDB-ID 2192348-6
    ISSN 1873-4251 ; 1570-162X
    ISSN (online) 1873-4251
    ISSN 1570-162X
    DOI 10.2174/1570162X21666230621122637
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Compensation of ACE2 Function for Possible Clinical Management of 2019-nCoV-Induced Acute Lung Injury.

    Wu, Yuntao

    Virologica Sinica

    2020  Volume 35, Issue 3, Page(s) 256–258

    MeSH term(s) Acute Lung Injury/chemically induced ; Acute Lung Injury/metabolism ; Acute Lung Injury/virology ; Angiotensin-Converting Enzyme 2 ; Animals ; Betacoronavirus/drug effects ; COVID-19 ; Coronavirus Infections/drug therapy ; Coronavirus Infections/metabolism ; Coronavirus Infections/virology ; Disease Models, Animal ; Host-Pathogen Interactions ; Humans ; Lung/drug effects ; Lung/metabolism ; Mice ; Pandemics ; Peptidyl-Dipeptidase A/metabolism ; Peptidyl-Dipeptidase A/pharmacology ; Pneumonia, Viral/drug therapy ; Pneumonia, Viral/metabolism ; Pneumonia, Viral/virology ; Receptor, Angiotensin, Type 1/metabolism ; Receptor, Angiotensin, Type 2/metabolism ; Receptors, Angiotensin/metabolism ; SARS-CoV-2
    Chemical Substances Receptor, Angiotensin, Type 1 ; Receptor, Angiotensin, Type 2 ; Receptors, Angiotensin ; Peptidyl-Dipeptidase A (EC 3.4.15.1) ; ACE2 protein, human (EC 3.4.17.23) ; Ace2 protein, mouse (EC 3.4.17.23) ; Angiotensin-Converting Enzyme 2 (EC 3.4.17.23)
    Keywords covid19
    Language English
    Publishing date 2020-02-07
    Publishing country China
    Document type Journal Article
    ZDB-ID 1011219-4
    ISSN 1995-820X ; 1000-3223 ; 1003-5125
    ISSN (online) 1995-820X
    ISSN 1000-3223 ; 1003-5125
    DOI 10.1007/s12250-020-00205-6
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Exosome microRNA-22 inhibiting proliferation, migration and invasion through regulating Twist1/CADM1 axis in osteosarcoma

    Qing Ruan / Cuijie Wang / Yuntao Wu / Qingsan Zhu

    Scientific Reports, Vol 14, Iss 1, Pp 1-

    2024  Volume 13

    Abstract: Abstract This study aims to the function of miR-22 original mesenchymal stem cells (MSC) on osteosarcoma (OS) proliferation, migration and invasion. Bio-informatics analysis including GEO2R analysis, Gene Ontology analysis, integration analysis were used ...

    Abstract Abstract This study aims to the function of miR-22 original mesenchymal stem cells (MSC) on osteosarcoma (OS) proliferation, migration and invasion. Bio-informatics analysis including GEO2R analysis, Gene Ontology analysis, integration analysis were used to confirmed the target genes (miR-22, Twist1, CADM1) in OS. RT-qPCR and western blotting confirmed the different expression of miR-22, Twist1, CADM1 in OS tissues, MG63 and Saos cell lines. MTS assay, CCK8 assay, colony forming assay, EdU assay were performed to detect the proliferation effect of miR-22 on MG63. Transwell migration assay, transwell invasion assay, wound healing assay were used to verify the migration and invasion effect of miR-22 on MG63. Luciferase reporter assay confirm the binding sites between miR-22 and Twist1. RT-qPCR confirmed miR-22 and CADM1 downregulated and Twist1 upregulated in OS tissues, MG63 and Saos. Exosome original MSC labeled with PKH-26 could be uptake by MG63, which upregulated the expression of miR-22 in MG63. High expression of miR-22 in MG63 inhibited proliferation, migration and invasion, which could be rescued by Twist1. Dual luciferase reporter analysis confirmed Twist1 was a target of miR-22. Exosome modified with miR-22 mimic inhibit proliferation, migration and invasion more efficient than exosome original MSC. miR-22 cargo in exo-MSC could uptake by MG63 and supply MG63 with miR-22, which inhibit MG63 proliferation, migration and invasion through targeting Twist1.
    Keywords Medicine ; R ; Science ; Q
    Subject code 500
    Language English
    Publishing date 2024-01-01T00:00:00Z
    Publisher Nature Portfolio
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article ; Online: Exosome microRNA-22 inhibiting proliferation, migration and invasion through regulating Twist1/CADM1 axis in osteosarcoma.

    Ruan, Qing / Wang, Cuijie / Wu, Yuntao / Zhu, Qingsan

    Scientific reports

    2024  Volume 14, Issue 1, Page(s) 761

    Abstract: This study aims to the function of miR-22 original mesenchymal stem cells (MSC) on osteosarcoma (OS) proliferation, migration and invasion. Bio-informatics analysis including GEO2R analysis, Gene Ontology analysis, integration analysis were used to ... ...

    Abstract This study aims to the function of miR-22 original mesenchymal stem cells (MSC) on osteosarcoma (OS) proliferation, migration and invasion. Bio-informatics analysis including GEO2R analysis, Gene Ontology analysis, integration analysis were used to confirmed the target genes (miR-22, Twist1, CADM1) in OS. RT-qPCR and western blotting confirmed the different expression of miR-22, Twist1, CADM1 in OS tissues, MG63 and Saos cell lines. MTS assay, CCK8 assay, colony forming assay, EdU assay were performed to detect the proliferation effect of miR-22 on MG63. Transwell migration assay, transwell invasion assay, wound healing assay were used to verify the migration and invasion effect of miR-22 on MG63. Luciferase reporter assay confirm the binding sites between miR-22 and Twist1. RT-qPCR confirmed miR-22 and CADM1 downregulated and Twist1 upregulated in OS tissues, MG63 and Saos. Exosome original MSC labeled with PKH-26 could be uptake by MG63, which upregulated the expression of miR-22 in MG63. High expression of miR-22 in MG63 inhibited proliferation, migration and invasion, which could be rescued by Twist1. Dual luciferase reporter analysis confirmed Twist1 was a target of miR-22. Exosome modified with miR-22 mimic inhibit proliferation, migration and invasion more efficient than exosome original MSC. miR-22 cargo in exo-MSC could uptake by MG63 and supply MG63 with miR-22, which inhibit MG63 proliferation, migration and invasion through targeting Twist1.
    MeSH term(s) Humans ; Exosomes/genetics ; Osteosarcoma/genetics ; Bone Neoplasms/genetics ; Luciferases ; Cell Proliferation/genetics ; MicroRNAs/genetics ; Cell Adhesion Molecule-1/genetics
    Chemical Substances Luciferases (EC 1.13.12.-) ; MicroRNAs ; CADM1 protein, human ; Cell Adhesion Molecule-1 ; MIRN22 microRNA, human
    Language English
    Publishing date 2024-01-08
    Publishing country England
    Document type Journal Article
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-023-50612-4
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: The application of improved densenet algorithm in accurate image recognition.

    Hou, Yuntao / Wu, Zequan / Cai, Xiaohua / Zhu, Tianyu

    Scientific reports

    2024  Volume 14, Issue 1, Page(s) 8645

    Abstract: Image recognition technology belongs to an important research field of artificial intelligence. In order to enhance the application value of image recognition technology in the field of computer vision and improve the technical dilemma of image ... ...

    Abstract Image recognition technology belongs to an important research field of artificial intelligence. In order to enhance the application value of image recognition technology in the field of computer vision and improve the technical dilemma of image recognition, the research improves the feature reuse method of dense convolutional network. Based on gradient quantization, traditional parallel algorithms have been improved. This improvement allows for independent parameter updates layer by layer, reducing communication time and data volume. The introduction of quantization error reduces the impact of gradient loss on model convergence. The test results show that the improvement strategy designed by the research improves the model parameter efficiency while ensuring the recognition effect. Narrowing the learning rate is conducive to refining the updating granularity of model parameters, and deepening the number of network layers can effectively improve the final recognition accuracy and convergence effect of the model. It is better than the existing state-of-the-art image recognition models, visual geometry group and EfficientNet. The parallel acceleration algorithm, which is improved by the gradient quantization, performs better than the traditional synchronous data parallel algorithm, and the improvement of the acceleration ratio is obvious. Compared with the traditional synchronous data parallel algorithm and stale synchronous parallel algorithm, the optimized parallel acceleration algorithm of the study ensures the image data training speed and solves the bottleneck problem of communication data. The model designed by the research improves the accuracy and training speed of image recognition technology and expands the use of image recognition technology in the field of computer vision.Please confirm the affiliation details of [1] is correct.The relevant detailed information in reference [1] has been confirmed to be correct.
    Language English
    Publishing date 2024-04-15
    Publishing country England
    Document type Journal Article
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-024-58421-z
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article: Graph neural network based on brain inspired forward-forward mechanism for motor imagery classification in brain-computer interfaces.

    Xue, Qiwei / Song, Yuntao / Wu, Huapeng / Cheng, Yong / Pan, Hongtao

    Frontiers in neuroscience

    2024  Volume 18, Page(s) 1309594

    Abstract: Introduction: Within the development of brain-computer interface (BCI) systems, it is crucial to consider the impact of brain network dynamics and neural signal transmission mechanisms on electroencephalogram-based motor imagery (MI-EEG) tasks. However, ...

    Abstract Introduction: Within the development of brain-computer interface (BCI) systems, it is crucial to consider the impact of brain network dynamics and neural signal transmission mechanisms on electroencephalogram-based motor imagery (MI-EEG) tasks. However, conventional deep learning (DL) methods cannot reflect the topological relationship among electrodes, thereby hindering the effective decoding of brain activity.
    Methods: Inspired by the concept of brain neuronal forward-forward (F-F) mechanism, a novel DL framework based on Graph Neural Network combined forward-forward mechanism (F-FGCN) is presented. F-FGCN framework aims to enhance EEG signal decoding performance by applying functional topological relationships and signal propagation mechanism. The fusion process involves converting the multi-channel EEG into a sequence of signals and constructing a network grounded on the Pearson correlation coeffcient, effectively representing the associations between channels. Our model initially pre-trains the Graph Convolutional Network (GCN), and fine-tunes the output layer to obtain the feature vector. Moreover, the F-F model is used for advanced feature extraction and classification.
    Results and discussion: Achievement of F-FGCN is assessed on the PhysioNet dataset for a four-class categorization, compared with various classical and state-of-the-art models. The learned features of the F-FGCN substantially amplify the performance of downstream classifiers, achieving the highest accuracy of 96.11% and 82.37% at the subject and group levels, respectively. Experimental results affirm the potency of FFGCN in enhancing EEG decoding performance, thus paving the way for BCI applications.
    Language English
    Publishing date 2024-03-28
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2411902-7
    ISSN 1662-453X ; 1662-4548
    ISSN (online) 1662-453X
    ISSN 1662-4548
    DOI 10.3389/fnins.2024.1309594
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Vertical decentralization, environmental regulation, and enterprise pollution: An evolutionary game analysis.

    Wu, Yuntao / Hu, Jin / Irfan, Muhammad / Hu, Mingjun

    Journal of environmental management

    2023  Volume 349, Page(s) 119449

    Abstract: Achieving sustainable economic development and mitigating climate change require effective green transformation management. This study builds an evolutionary game model for industrial enterprises, local governments, and the central government, analyzing ... ...

    Abstract Achieving sustainable economic development and mitigating climate change require effective green transformation management. This study builds an evolutionary game model for industrial enterprises, local governments, and the central government, analyzing the dynamic interactions among vertical decentralization, environmental regulation, and enterprise pollution. Our research reveals that increasing environmental taxes can incentivize industrial enterprises to adopt green transformation practices and promote governments at all administrative levels to supervise and enforce environmental regulations. Moreover, in the context of vertical decentralization, financial incentives provided by the central government to local governments become critical drivers for promoting green transformation. Furthermore, the additional social benefits resulting from local government supervision and governance are key factors in green transformation management, while the negative social effects of industrial enterprises not rectifying their actions are noteworthy. Our study emphasizes the need for an integrated framework incorporating these critical elements for successful green transition management. The findings of this research provide valuable insights for developing nations seeking to enhance their governance capacity throughout the green transformation process.
    MeSH term(s) Government ; Sustainable Development ; Environmental Pollution ; Economic Development ; Politics ; China
    Language English
    Publishing date 2023-11-06
    Publishing country England
    Document type Journal Article
    ZDB-ID 184882-3
    ISSN 1095-8630 ; 0301-4797
    ISSN (online) 1095-8630
    ISSN 0301-4797
    DOI 10.1016/j.jenvman.2023.119449
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Has the ecological civilization pilot promoted the transformation of industrial structure in China?

    Jin Hu / Yuntao Wu / Muhammad Irfan / Mingjun Hu

    Ecological Indicators, Vol 155, Iss , Pp 111053- (2023)

    2023  

    Abstract: Industrial structure transformation is important for realizing Chinese modernization, and ecological civilization is necessary for building a beautiful China. How to use the construction of ecological civilization to realize industrial structure ... ...

    Abstract Industrial structure transformation is important for realizing Chinese modernization, and ecological civilization is necessary for building a beautiful China. How to use the construction of ecological civilization to realize industrial structure transformation is a major issue for the economic development of China and other developing countries. The difference-in-differences method was used to evaluate the impact of the ecological civilization pilot policy (ECPP) on industrial structure transformation. The three-stage mediating effect method is used to explore the mechanism channel. Through heterogeneity discussion and spatial spillover analysis method, the effects of ECPP were further understood. The study reveals the following: Overall, the ECPP has promoted the transformation of the industrial structure. Specifically, the ECPP has a significant positive impact on industrial structure rationalization but a negative impact on industrial structure advancement. Several robustness checks support this finding. Second, the mechanism channels are primarily achieved through environmental investment, green finance infusion, and congestion alleviation. Third, good central-local relationships can enhance the trend toward industrial structure rationalization, while unfavorable relationships may pose hindrances to industrial structure advancement. In addition, the effect of the ECPP varies depending on the population density and environmental pollution. Lastly, the ECPP has a spatial positive spillover effect promoting industrial structure rationalization. The results above provide additional information about the effects of ECPPs on industrial structure transformation, both positive and negative, and help the ecological civilization strategy system be adjusted promptly.
    Keywords Environmental investment ; Green finance ; Difference-in-differences ; Spatial spillover ; Congestion alleviation ; Central-local relationships ; Ecology ; QH540-549.5
    Subject code 650
    Language English
    Publishing date 2023-11-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Article ; Online: Application of Ha-CoV-2 Pseudovirus for Rapid Quantification of SARS-CoV-2 Variants and Neutralizing Antibodies.

    Chilin, Linda / Hetrick, Brian / Wu, Yuntao

    Journal of visualized experiments : JoVE

    2023  , Issue 199

    Abstract: The coronavirus disease 2019 pandemic (COVID-19) has highlighted the need for rapid assays to accurately measure the infectivity of emerging SARS-CoV-2 variants and the effectiveness of vaccine-induced neutralizing antibodies against viral variants. ... ...

    Abstract The coronavirus disease 2019 pandemic (COVID-19) has highlighted the need for rapid assays to accurately measure the infectivity of emerging SARS-CoV-2 variants and the effectiveness of vaccine-induced neutralizing antibodies against viral variants. These assays are essential for pandemic surveillance and validating vaccines and variant-specific boosters. This manuscript demonstrates the application of a novel hybrid alphavirus-SARS-CoV-2 pseudovirus (Ha-CoV-2) for quick quantification of SARS-CoV-2 variant infectivity and vaccine-induced neutralizing antibodies to viral variants. Ha-CoV-2 is a SARS-CoV-2 virus-like particle consisting of viral structural proteins (S, M, N, and E) and a fast-expressing RNA genome derived from an alphavirus, Semliki Forest Virus (SFV). Ha-CoV-2 also contains both green fluorescent protein (GFP) and luciferase reporter genes that allow for quick quantification of viral infectivity. As an example, the infectivity of the SARS-CoV-2 Delta (B.1.617.2) and the Omicron (B.1.1.529) variants are quantified, and their sensitivities to a neutralizing antibody (27VB) are also measured. These examples demonstrate the great potential of Ha-CoV-2 as a robust platform for rapid quantification of SARS-CoV-2 variants and their susceptibility to neutralizing antibodies.
    MeSH term(s) Humans ; SARS-CoV-2/genetics ; COVID-19/diagnosis ; Antibodies, Neutralizing ; Biological Assay ; RNA Viruses
    Chemical Substances Antibodies, Neutralizing
    Language English
    Publishing date 2023-09-08
    Publishing country United States
    Document type Journal Article ; Video-Audio Media ; Research Support, Non-U.S. Gov't
    ZDB-ID 2259946-0
    ISSN 1940-087X ; 1940-087X
    ISSN (online) 1940-087X
    ISSN 1940-087X
    DOI 10.3791/65793
    Database MEDical Literature Analysis and Retrieval System OnLINE

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