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  1. Article ; Online: A review of the energy recovery and energy pressure of liquid

    Yunguang Ji / Yuhan Zhang / Zhanpu Xue / Ze Li / Mingda Tong / Hongtao Li / Jianchang Song

    Energy Science & Engineering, Vol 11, Iss 10, Pp 3907-

    2023  Volume 3927

    Abstract: Abstract Due to the rapid development of today's industry, it not only greatly accelerates the consumption of energy, but also causes serious pollution to the environment. Therefore, reducing energy waste and recovering energy has become an important ... ...

    Abstract Abstract Due to the rapid development of today's industry, it not only greatly accelerates the consumption of energy, but also causes serious pollution to the environment. Therefore, reducing energy waste and recovering energy has become an important research direction today. This paper introduces the future development trend of renewable energy, discusses the progress of recovery of nonpolluting energy such as marine, bioenergy and thermal energy, and analyzes the efficiency and social benefits of various types of energy recovery. Energy recovery methods for natural gas pipelines are briefly analyzed, and current research advances in energy pressure recovery devices are provided, leading to a summary of methods to improve the efficiency of fluid energy recovery. Finally, it is concluded that although the current energy sources are diversified, the most valued energy sources at present and in the future should be solar energy and ocean, which are infinitely recyclable. This paper will benefit researchers to further understand and study the various aspects of energy recovery.
    Keywords bioenergy energy ; energy pressure ; energy recovery ; marine energy ; Technology ; T ; Science ; Q
    Subject code 690
    Language English
    Publishing date 2023-10-01T00:00:00Z
    Publisher Wiley
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: A Review of the Efficiency Improvement of Hydraulic Turbines in Energy Recovery

    Yunguang Ji / Hao Song / Zhanpu Xue / Ze Li / Mingda Tong / Hongtao Li

    Processes, Vol 11, Iss 1815, p

    2023  Volume 1815

    Abstract: Turbine energy recovery is a process energy saving technology, and understanding turbine efficiency has important operational and economic benefits for the operator of a power plant. There are three main areas of research into turbine energy efficiency: ... ...

    Abstract Turbine energy recovery is a process energy saving technology, and understanding turbine efficiency has important operational and economic benefits for the operator of a power plant. There are three main areas of research into turbine energy efficiency: the structural performance of the turbine itself, the configuration of the recovery device and the regulation of operating conditions. This paper summarizes recent research advances in hydraulic turbine energy efficiency improvement, focusing on the design factors that can affect the overall efficiency of a hydraulic turbine. To quantify the impact of these factors, this paper investigates the effects of surface roughness, flow rate, head and impeller speed on overall efficiency. Methods for optimizing improvements based on these design factors are reviewed, and two methods, the Box–Behnken Design method and the NSGA-II genetic algorithm, are described with practical examples to provide ideas for future research.
    Keywords hydraulic turbines ; energy recovery optimization ; efficiency ; Box–Behnken design ; NSGA-II genetic algorithm ; Chemical technology ; TP1-1185 ; Chemistry ; QD1-999
    Subject code 690
    Language English
    Publishing date 2023-06-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
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  3. Article ; Online: cRNAsp12 Web Server for the Prediction of Circular RNA Secondary Structures and Stabilities.

    Wang, Fengfei / Li, Wei / Li, Baiyi / Xie, Liangxu / Tong, Yunguang / Xu, Xiaojun

    International journal of molecular sciences

    2023  Volume 24, Issue 4

    Abstract: Circular RNAs (circRNAs) are a novel class of non-coding RNA that, unlike linear RNAs, form a covalently closed loop without the 5' and 3' ends. Growing evidence shows that circular RNAs play important roles in life processes and have great potential ... ...

    Abstract Circular RNAs (circRNAs) are a novel class of non-coding RNA that, unlike linear RNAs, form a covalently closed loop without the 5' and 3' ends. Growing evidence shows that circular RNAs play important roles in life processes and have great potential implications in clinical and research fields. The accurate modeling of circRNAs structure and stability has far-reaching impact on our understanding of their functions and our ability to develop RNA-based therapeutics. The cRNAsp12 server offers a user-friendly web interface to predict circular RNA secondary structures and folding stabilities from the sequence. Through the helix-based landscape partitioning strategy, the server generates distinct ensembles of structures and predicts the minimal free energy structures for each ensemble with the recursive partition function calculation and backtracking algorithms. For structure predictions in the limited structural ensemble, the server also provides users with the option to set the structural constraints of forcing the base pairs and/or forcing the unpaired bases, such that only structures that meet the criteria are enumerated recursively.
    MeSH term(s) RNA, Circular ; Software ; Nucleic Acid Conformation ; Algorithms ; RNA/genetics ; Internet
    Chemical Substances RNA, Circular ; RNA (63231-63-0)
    Language English
    Publishing date 2023-02-14
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2019364-6
    ISSN 1422-0067 ; 1422-0067 ; 1661-6596
    ISSN (online) 1422-0067
    ISSN 1422-0067 ; 1661-6596
    DOI 10.3390/ijms24043822
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  4. Article ; Online: DeepCIP: A multimodal deep learning method for the prediction of internal ribosome entry sites of circRNAs.

    Zhou, Yuxuan / Wu, Jingcheng / Yao, Shihao / Xu, Yulian / Zhao, Wenbin / Tong, Yunguang / Zhou, Zhan

    Computers in biology and medicine

    2023  Volume 164, Page(s) 107288

    Abstract: Circular RNAs (circRNAs) have been found to have the ability to encode proteins through internal ribosome entry sites (IRESs), which are essential RNA regulatory elements for cap-independent translation. Identification of IRES elements in circRNA is ... ...

    Abstract Circular RNAs (circRNAs) have been found to have the ability to encode proteins through internal ribosome entry sites (IRESs), which are essential RNA regulatory elements for cap-independent translation. Identification of IRES elements in circRNA is crucial for understanding its function. Previous studies have presented IRES predictors based on machine learning techniques, but they were mainly designed for linear RNA IRES. In this study, we proposed DeepCIP (Deep learning method for CircRNA IRES Prediction), a multimodal deep learning approach that employs both sequence and structural information for circRNA IRES prediction. Our results demonstrate the effectiveness of the sequence and structure models used by DeepCIP in feature extraction and suggest that integrating sequence and structural information efficiently improves the accuracy of prediction. The comparison studies indicate that DeepCIP outperforms other comparative methods on the test set and real circRNA IRES dataset. Furthermore, through the integration of an interpretable analysis mechanism, we elucidate the sequence patterns learned by our model, which align with the previous discovery of motifs that facilitate circRNA translation. Thus, DeepCIP has the potential to enhance the study of the coding potential of circRNAs and contribute to the design of circRNA-based drugs. DeepCIP as a standalone program is freely available at https://github.org/zjupgx/DeepCIP.
    MeSH term(s) RNA, Circular/genetics ; Internal Ribosome Entry Sites/genetics ; Deep Learning ; RNA
    Chemical Substances RNA, Circular ; Internal Ribosome Entry Sites ; RNA (63231-63-0)
    Language English
    Publishing date 2023-08-01
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 127557-4
    ISSN 1879-0534 ; 0010-4825
    ISSN (online) 1879-0534
    ISSN 0010-4825
    DOI 10.1016/j.compbiomed.2023.107288
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  5. Article ; Online: Identification of Notch signaling pathway gene mutations as a prognostic biomarker for bladder cancer.

    Xue, Chong / Chen, Xin / Lin, KaoXing / Tong, YunGuang / Wang, XinHong

    Future oncology (London, England)

    2021  Volume 17, Issue 32, Page(s) 4307–4320

    Abstract: Purpose: ...

    Abstract Purpose:
    MeSH term(s) Humans ; Immunotherapy ; Mutation ; Prognosis ; Protein Interaction Maps ; Receptors, Notch/genetics ; Signal Transduction/physiology ; Urinary Bladder Neoplasms/genetics ; Urinary Bladder Neoplasms/mortality ; Urinary Bladder Neoplasms/therapy
    Chemical Substances Receptors, Notch
    Language English
    Publishing date 2021-08-02
    Publishing country England
    Document type Journal Article
    ZDB-ID 2274956-1
    ISSN 1744-8301 ; 1479-6694
    ISSN (online) 1744-8301
    ISSN 1479-6694
    DOI 10.2217/fon-2021-0110
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  6. Article ; Online: Mutagenesis and structural studies reveal the basis for the specific binding of SARS-CoV-2 SL3 RNA element with human TIA1 protein.

    Zhang, Dong / Qiao, Lulu / Lei, Xiaobo / Dong, Xiaojing / Tong, Yunguang / Wang, Jianwei / Wang, Zhiye / Zhou, Ruhong

    Nature communications

    2023  Volume 14, Issue 1, Page(s) 3715

    Abstract: Viral RNA-host protein interactions are indispensable during RNA virus transcription and replication, but their detailed structural and dynamical features remain largely elusive. Here, we characterize the binding interface for the SARS-CoV-2 stem-loop 3 ( ...

    Abstract Viral RNA-host protein interactions are indispensable during RNA virus transcription and replication, but their detailed structural and dynamical features remain largely elusive. Here, we characterize the binding interface for the SARS-CoV-2 stem-loop 3 (SL3) cis-acting element to human TIA1 protein with a combined theoretical and experimental approaches. The highly structured SARS-CoV-2 SL3 has a high binding affinity to TIA1 protein, in which the aromatic stacking, hydrogen bonds, and hydrophobic interactions collectively direct this specific binding. Further mutagenesis studies validate our proposed 3D binding model and reveal two SL3 variants have enhanced binding affinities to TIA1. And disruptions of the identified RNA-protein interactions with designed antisense oligonucleotides dramatically reduce SARS-CoV-2 infection in cells. Finally, TIA1 protein could interact with conserved SL3 RNA elements within other betacoronavirus lineages. These findings open an avenue to explore the viral RNA-host protein interactions and provide a pioneering structural basis for RNA-targeting antiviral drug design.
    MeSH term(s) Humans ; SARS-CoV-2/genetics ; SARS-CoV-2/metabolism ; RNA, Viral/metabolism ; Protein Binding ; COVID-19/genetics ; Mutagenesis ; T-Cell Intracellular Antigen-1/metabolism
    Chemical Substances RNA, Viral ; TIA1 protein, human ; T-Cell Intracellular Antigen-1
    Language English
    Publishing date 2023-06-22
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2553671-0
    ISSN 2041-1723 ; 2041-1723
    ISSN (online) 2041-1723
    ISSN 2041-1723
    DOI 10.1038/s41467-023-39410-8
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  7. Article ; Online: Mutagenesis and structural studies reveal the basis for the specific binding of SARS-CoV-2 SL3 RNA element with human TIA1 protein

    Dong Zhang / Lulu Qiao / Xiaobo Lei / Xiaojing Dong / Yunguang Tong / Jianwei Wang / Zhiye Wang / Ruhong Zhou

    Nature Communications, Vol 14, Iss 1, Pp 1-

    2023  Volume 12

    Abstract: Abstract Viral RNA-host protein interactions are indispensable during RNA virus transcription and replication, but their detailed structural and dynamical features remain largely elusive. Here, we characterize the binding interface for the SARS-CoV-2 ... ...

    Abstract Abstract Viral RNA-host protein interactions are indispensable during RNA virus transcription and replication, but their detailed structural and dynamical features remain largely elusive. Here, we characterize the binding interface for the SARS-CoV-2 stem-loop 3 (SL3) cis-acting element to human TIA1 protein with a combined theoretical and experimental approaches. The highly structured SARS-CoV-2 SL3 has a high binding affinity to TIA1 protein, in which the aromatic stacking, hydrogen bonds, and hydrophobic interactions collectively direct this specific binding. Further mutagenesis studies validate our proposed 3D binding model and reveal two SL3 variants have enhanced binding affinities to TIA1. And disruptions of the identified RNA-protein interactions with designed antisense oligonucleotides dramatically reduce SARS-CoV-2 infection in cells. Finally, TIA1 protein could interact with conserved SL3 RNA elements within other betacoronavirus lineages. These findings open an avenue to explore the viral RNA-host protein interactions and provide a pioneering structural basis for RNA-targeting antiviral drug design.
    Keywords Science ; Q
    Language English
    Publishing date 2023-06-01T00:00:00Z
    Publisher Nature Portfolio
    Document type Article ; Online
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  8. Article ; Online: Integrated characterization of hepatobiliary tumor organoids provides a potential landscape of pharmacogenomic interactions.

    Zhu, Yanjing / Tang, Shijie / Yuan, Qiuyue / Fu, Jing / He, Juan / Liu, Zhuang / Zhao, Xiaofang / Li, Yunguang / Zhao, Yan / Zhang, Yani / Zhang, Xiaoyu / Zhang, Yangqianwen / Zhu, Yiqin / Wang, Wenwen / Zheng, Bo / Wu, Rui / Wu, Tong / Yang, Shuai / Qiu, Xinyao /
    Shen, Siyun / Hu, Ji / Chen, Luonan / Wang, Yong / Wang, Hongyang / Gao, Dong / Chen, Lei

    Cell reports. Medicine

    2024  Volume 5, Issue 2, Page(s) 101375

    Abstract: Despite considerable efforts to identify human liver cancer genomic alterations that might unveil druggable targets, the systematic translation of multiomics data remains challenging. Here, we report success in long-term culture of 64 patient-derived ... ...

    Abstract Despite considerable efforts to identify human liver cancer genomic alterations that might unveil druggable targets, the systematic translation of multiomics data remains challenging. Here, we report success in long-term culture of 64 patient-derived hepatobiliary tumor organoids (PDHOs) from a Chinese population. A divergent response to 265 metabolism- and epigenetics-related chemicals and 36 anti-cancer drugs is observed. Integration of the whole genome, transcriptome, chromatin accessibility profiles, and drug sensitivity results of 64 clinically relevant drugs defines over 32,000 genome-drug interactions. RUNX1 promoter mutation is associated with an increase in chromatin accessibility and a concomitant gene expression increase, promoting a cluster of drugs preferentially sensitive in hepatobiliary tumors. These results not only provide an annotated PDHO biobank of human liver cancer but also suggest a systematic approach for obtaining a comprehensive understanding of the gene-regulatory network of liver cancer, advancing the applications of potential personalized medicine.
    MeSH term(s) Humans ; Pharmacogenetics ; Antineoplastic Agents/pharmacology ; Antineoplastic Agents/metabolism ; Liver Neoplasms/drug therapy ; Liver Neoplasms/genetics ; Organoids/pathology ; Chromatin/metabolism
    Chemical Substances Antineoplastic Agents ; Chromatin
    Language English
    Publishing date 2024-01-25
    Publishing country United States
    Document type Journal Article
    ISSN 2666-3791
    ISSN (online) 2666-3791
    DOI 10.1016/j.xcrm.2023.101375
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  9. Article ; Online: Erratum: Overcoming erlotinib resistance in EGFR mutation-positive lung adenocarcinomas through repression of phosphoglycerate dehydrogenase: Erratum.

    Dong, Jiang-Kai / Lei, Hui-Min / Liang, Qian / Tang, Ya-Bin / Zhou, Ye / Wang, Yang / Zhang, Shengzhe / Li, Wen-Bin / Tong, Yunguang / Zhuang, Guanglei / Zhang, Liang / Chen, Hong-Zhuan / Zhu, Liang / Shen, Ying

    Theranostics

    2021  Volume 11, Issue 8, Page(s) 3963

    Abstract: This corrects the article DOI: 10.7150/thno.23177.]. ...

    Abstract [This corrects the article DOI: 10.7150/thno.23177.].
    Language English
    Publishing date 2021-02-09
    Publishing country Australia
    Document type Published Erratum
    ZDB-ID 2592097-2
    ISSN 1838-7640 ; 1838-7640
    ISSN (online) 1838-7640
    ISSN 1838-7640
    DOI 10.7150/thno.58558
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  10. Article ; Online: The US Chinese Anti-Cancer Association and the Asian Fund for Cancer Research Recognize Young Chinese Cancer Researchers with the 2016 USCACA-AFCR scholar awards.

    Zhang, Wei / Yan, Li / Tong, Yunguang / Cheng, Shi-Yuan

    Chinese journal of cancer

    2017  Volume 36, Issue 1, Page(s) 30

    MeSH term(s) Awards and Prizes ; Biomedical Research/economics ; Biomedical Research/organization & administration ; China ; History, 21st Century ; Humans ; Male
    Language English
    Publishing date 2017-03-17
    Publishing country England
    Document type Biography ; Editorial ; Historical Article ; Portrait
    ZDB-ID 1045160-2
    ISSN 1944-446X ; 1000-467X
    ISSN (online) 1944-446X
    ISSN 1000-467X
    DOI 10.1186/s40880-017-0197-4
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