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  1. Article: Editorial: Regulation of Adult Stem Cells Fate and Function in Natural and Artificial Microenvironments.

    Makarevich, Pavel I / Hu, Yu-Chen

    Frontiers in cell and developmental biology

    2022  Volume 10, Page(s) 955568

    Language English
    Publishing date 2022-08-17
    Publishing country Switzerland
    Document type Editorial
    ZDB-ID 2737824-X
    ISSN 2296-634X
    ISSN 2296-634X
    DOI 10.3389/fcell.2022.955568
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Unraveling the evolutionary patterns and phylogenomics of coronaviruses: A consensus network approach.

    Hu, Geng-Ming / Tai, Yu-Chen / Chen, Chi-Ming

    Journal of medical virology

    2023  Volume 95, Issue 11, Page(s) e29233

    Abstract: The COVID-19 pandemic emphasizes the significance of studying coronaviruses (CoVs). This study investigates the evolutionary patterns of 350 CoVs using four structural proteins (S, E, M, and N) and introduces a consensus methodology to construct a ... ...

    Abstract The COVID-19 pandemic emphasizes the significance of studying coronaviruses (CoVs). This study investigates the evolutionary patterns of 350 CoVs using four structural proteins (S, E, M, and N) and introduces a consensus methodology to construct a comprehensive phylogenomic network. Our clustering of CoVs into 4 genera is consistent with the current CoV classification. Additionally, we calculate network centrality measures to identify CoV strains with significant average weighted degree and betweenness centrality values, with a specific focus on RaTG13 in the beta genus and NGA/A116E7/2006 in the gamma genus. We compare the phylogenetics of CoVs using our distance-based approach and the character-based model with IQ-TREE. Both methods yield largely consistent outcomes, indicating the reliability of our consensus approach. However, it is worth mentioning that our consensus method achieves an approximate 5000-fold increase in speed compared to IQ-TREE when analyzing the data set of 350 CoVs. This improved efficiency enhances the feasibility of conducting large-scale phylogenomic studies on CoVs.
    MeSH term(s) Humans ; Phylogeny ; Pandemics ; Consensus ; Reproducibility of Results ; COVID-19
    Language English
    Publishing date 2023-11-27
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 752392-0
    ISSN 1096-9071 ; 0146-6615
    ISSN (online) 1096-9071
    ISSN 0146-6615
    DOI 10.1002/jmv.29233
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 1320: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)

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  3. Article ; Online: RNA-guided genome engineering: paradigm shift towards transposons.

    Chang, Chin-Wei / Truong, Vy Anh / Pham, Nam Ngoc / Hu, Yu-Chen

    Trends in biotechnology

    2024  

    Abstract: CRISPR-Cas systems revolutionized the genome engineering field but need to induce double-strand breaks (DSBs) and may be difficult to deliver due to their large protein size. Tn7-like transposons such as CRISPR-associated transposons (CASTs) can be ... ...

    Abstract CRISPR-Cas systems revolutionized the genome engineering field but need to induce double-strand breaks (DSBs) and may be difficult to deliver due to their large protein size. Tn7-like transposons such as CRISPR-associated transposons (CASTs) can be repurposed for RNA-guided DSB-free integration, and obligate mobile element guided activity (OMEGA) proteins of the IS200/IS605 transposon family have been developed as hypercompact RNA-guided genome editing tools. CASTs and OMEGA are exciting, innovative genome engineering tools that can improve the precision and efficiency of editing. This review explores the recent developments and uses of CASTs and OMEGA in genome editing across prokaryotic and eukaryotic cells. The pros and cons of these transposon-based systems are deliberated in comparison to other CRISPR systems.
    Language English
    Publishing date 2024-03-04
    Publishing country England
    Document type Journal Article ; Review
    ZDB-ID 47474-5
    ISSN 1879-3096 ; 0167-7799
    ISSN (online) 1879-3096
    ISSN 0167-7799
    DOI 10.1016/j.tibtech.2024.02.006
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 2750: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (2.OG)
    ab Jg. 2022: Lesesaal (EG)

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  4. Article ; Online: Editorial

    Pavel I. Makarevich / Yu-Chen Hu

    Frontiers in Cell and Developmental Biology, Vol

    Regulation of Adult Stem Cells Fate and Function in Natural and Artificial Microenvironments

    2022  Volume 10

    Keywords stem cell niche ; tissue engineering ; extracellular matrix ; mesenchymal stem cells ; differentiation ; Biology (General) ; QH301-705.5
    Language English
    Publishing date 2022-08-01T00:00:00Z
    Publisher Frontiers Media S.A.
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

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  5. Article ; Online: Automated Plant Recognition System with Geographical Position Selection for Medicinal Plants

    Biswaranjan Acharya / Ahona Ghosh / Sucheta Panda / Yu-Chen Hu

    Advances in Multimedia, Vol

    2023  Volume 2023

    Abstract: Basically, it is hard for endeavors to recognize plant leaf images by a layman due to the varieties in some plant leaves and the extensive information collected for investigation. It is hard to build an automated recognition framework that can handle ... ...

    Abstract Basically, it is hard for endeavors to recognize plant leaf images by a layman due to the varieties in some plant leaves and the extensive information collected for investigation. It is hard to build an automated recognition framework that can handle massive data and give an intermediate analysis. Image examination and order and pattern recognition are some issues that are effectively connected to the existing methods. This paper focuses on designing an automated plant recognition system based on the best recognition algorithm and the Google platform to locate all plant locations on a map. A case study of India, which has huge biodiversity, is illustrated. The proposed system can show the detailed location of that particular species, where they can be found, and the shortest distance from the current location.
    Keywords Electronic computers. Computer science ; QA75.5-76.95
    Language English
    Publishing date 2023-01-01T00:00:00Z
    Publisher Hindawi Limited
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Article ; Online: Expression and clinical significance of DOK3 in renal clear cell carcinoma.

    Wang, Yi-Fan / Hu, Yu-Qi / Hu, Yu-Ning / Bai, Yu-Chen / Wang, Heng / Zhang, Qi

    The Journal of international medical research

    2023  Volume 51, Issue 5, Page(s) 3000605231174974

    Abstract: Objectives: Docking Protein 3 (DOK3) is an adapter protein that has been implicated in various cellular processes relevant to diseases, such as cancer. In this study, we aimed to evaluate the role of DOK3 in kidney renal clear cell carcinoma (KIRC) by ... ...

    Abstract Objectives: Docking Protein 3 (DOK3) is an adapter protein that has been implicated in various cellular processes relevant to diseases, such as cancer. In this study, we aimed to evaluate the role of DOK3 in kidney renal clear cell carcinoma (KIRC) by examining how its expression levels are correlated with patient characteristics and prognosis.
    Methods: We analyzed KIRC-related data from The Cancer Genome Atlas and used several bioinformatics tools, such as LinkedOmics and Oncomine, to evaluate
    Results: DOK3
    Conclusions: DOK3 is a potential biomarker for determining KIRC patient clinical prognosis.
    MeSH term(s) Humans ; Clinical Relevance ; Retrospective Studies ; Carcinoma, Renal Cell/genetics ; Kidney Neoplasms/genetics ; RNA, Messenger/genetics ; Prognosis ; Adaptor Proteins, Signal Transducing
    Chemical Substances RNA, Messenger ; DOK3 protein, human ; Adaptor Proteins, Signal Transducing
    Language English
    Publishing date 2023-05-26
    Publishing country England
    Document type Journal Article
    ZDB-ID 184023-x
    ISSN 1473-2300 ; 0300-0605 ; 0142-2596
    ISSN (online) 1473-2300
    ISSN 0300-0605 ; 0142-2596
    DOI 10.1177/03000605231174974
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 925: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)

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  7. Article ; Online: Modular Edge Analysis Reveals Chemotherapy-induced Brain Network Changes in Lung Cancer Patients.

    You, Jia / Wang, Zhengqian / Hu, Lanyue / Zhang, Yujie / Chen, Feifei / Yin, Xindao / Chen, Yu-Chen / Yong, Xiaomin

    Current medical imaging

    2024  

    Abstract: Background: Lung cancer patients with post-chemotherapy may have disconnected or weakened function connections within brain networks.: Objective: This study aimed to explore the abnormality of brain functional networks in lung cancer patients with ... ...

    Abstract Background: Lung cancer patients with post-chemotherapy may have disconnected or weakened function connections within brain networks.
    Objective: This study aimed to explore the abnormality of brain functional networks in lung cancer patients with post-chemotherapy by modular edge analysis.
    Methods: Resting-state functional magnetic resonance imaging (rs-fMRI) scans were performed on 40 patients after chemotherapy, 40 patients before chemotherapy and 40 normal controls. Patients in all three groups were age and sex well-matched. Then, modular edge analysis was applied to assess brain functional network alterations.
    Results: Post-chemotherapy patients had the worst MoCA scores among the three groups (p < 0.001). In intra-modular connections, compared with normal controls, the patients after chemotherapy had decreased connection strengths in the occipital lobe module (p < 0.05). Compared with the nonchemotherapy group, the patients after chemotherapy had decreased connection strengths in the subcortical module (p < 0.05). In inter-modular connections, compared with normal controls, the patients after chemotherapy had decreased connection strength in the frontal-temporal lobe modules (p < 0.05). Compared with the non-chemotherapy group, the patients after chemotherapy had decreased connection strength in the subcortical-temporal lobe modules (p < 0.05).
    Conclusion: The results reveal that chemotherapy can disrupt connections in brain functional networks. As far as we know, the use of modular edge analysis to report changes in brain functional brain networks associated with chemotherapy was rarely reported. Modular edge analysis may play a crucial part in predicting the clinical outcome for the patients after chemotherapy.
    Language English
    Publishing date 2024-01-02
    Publishing country United Arab Emirates
    Document type Journal Article
    ISSN 1573-4056
    ISSN (online) 1573-4056
    DOI 10.2174/0115734056277364231226081249
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Nuclear Binding Protein 2/Nesfatin-1 Affects Trophoblast Cell Fusion during Placental Development via the EGFR-PLCG1-CAMK4 Pathway.

    Dang, Qinyu / Zhu, Yandi / Zhang, Yadi / Hu, Zhuo / Wei, Yuchen / Chen, Zhaoyang / Jiang, Xinyin / Cai, Xiaxia / Yu, Huanling

    International journal of molecular sciences

    2024  Volume 25, Issue 3

    Abstract: Previous studies have shown that nuclear binding protein 2 ( ...

    Abstract Previous studies have shown that nuclear binding protein 2 (
    MeSH term(s) Animals ; Female ; Pregnancy ; Rats ; Cadherins/metabolism ; Calcium-Calmodulin-Dependent Protein Kinase Type 4/metabolism ; Carrier Proteins/metabolism ; Cell Fusion ; ErbB Receptors/metabolism ; Nuclear Proteins/metabolism ; Phospholipase C gamma/metabolism ; Placenta/metabolism ; Placentation ; Trophoblasts/metabolism ; Nucleobindins/metabolism
    Chemical Substances Cadherins ; Calcium-Calmodulin-Dependent Protein Kinase Type 4 (EC 2.7.11.17) ; CAMK4 protein, human (EC 2.7.11.17) ; Carrier Proteins ; EGFR protein, human (EC 2.7.10.1) ; ErbB Receptors (EC 2.7.10.1) ; Nuclear Proteins ; Phospholipase C gamma (EC 3.1.4.3) ; PLCG1 protein, human (EC 3.1.4.11) ; Nucb2 protein, rat ; Nucleobindins ; Camk4 protein, rat (EC 2.7.11.17)
    Language English
    Publishing date 2024-02-05
    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/ijms25031925
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Development of validated sandwich ELISA for detecting peanut allergen Ara h 3 in food.

    Lin, Jia-Fong / Chang, Kee-Lung / Hsieh, Bau-Shan / Hu, Yu-Chen / Huang, Edward S / Yu, Hsu-Sheng

    Food chemistry

    2024  Volume 445, Page(s) 138757

    Abstract: Peanut is an important food that can cause food allergies, often leading to moderate and severe allergic symptoms such as skin rashes, asthma, and even anaphylactic shock.Research indicates that Ara h 3 is one of the major peanut allergen. In order to ... ...

    Abstract Peanut is an important food that can cause food allergies, often leading to moderate and severe allergic symptoms such as skin rashes, asthma, and even anaphylactic shock.Research indicates that Ara h 3 is one of the major peanut allergen. In order to establish a simple analytical method for detecting Ara h 3, we developed a sandwich enzyme-linked immunosorbent assay (ELISA) with antibodies that were induced from purified Ara h 3. The experimental results showed that the purified Ara h 3 had good purity, and we successfully prepared capture and detection antibodies. The method established in this study exhibited high specificity and did not cross-react with soybeans, cashew nuts, and sesame. For validation, including precision, recovery and sensitivity were in good condition. We also detected the Ara h 3 in peanut related foods. Overall, the ELISA developed in this study is a reliable method for Ara h 3 detection.
    MeSH term(s) Arachis ; Antigens, Plant ; Antibodies, Monoclonal ; Allergens ; Enzyme-Linked Immunosorbent Assay/methods ; Peanut Hypersensitivity/diagnosis ; Plant Proteins/analysis ; 2S Albumins, Plant
    Chemical Substances Antigens, Plant ; Antibodies, Monoclonal ; Allergens ; Plant Proteins ; 2S Albumins, Plant
    Language English
    Publishing date 2024-02-15
    Publishing country England
    Document type Journal Article
    ZDB-ID 243123-3
    ISSN 1873-7072 ; 0308-8146
    ISSN (online) 1873-7072
    ISSN 0308-8146
    DOI 10.1016/j.foodchem.2024.138757
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Bonn / Germany

    Z 3634: Show issues

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  10. Article ; Online: Joint Data Transmission and Energy Harvesting for MISO Downlink Transmission Coordination in Wireless IoT Networks.

    Liu, Jain-Shing / Lin, Chun-Hung / Hu, Yu-Chen / Donta, Praveen Kumar

    Sensors (Basel, Switzerland)

    2023  Volume 23, Issue 8

    Abstract: The advent of simultaneous wireless information and power (SWIPT) has been regarded as a promising technique to provide power supplies for an energy sustainable Internet of Things (IoT), which is of paramount importance due to the proliferation of high ... ...

    Abstract The advent of simultaneous wireless information and power (SWIPT) has been regarded as a promising technique to provide power supplies for an energy sustainable Internet of Things (IoT), which is of paramount importance due to the proliferation of high data communication demands of low-power network devices. In such networks, a multi-antenna base station (BS) in each cell can be utilized to concurrently transmit messages and energies to its intended IoT user equipment (IoT-UE) with a single antenna under a common broadcast frequency band, resulting in a multi-cell multi-input single-output (MISO) interference channel (IC). In this work, we aim to find the trade-off between the spectrum efficiency (SE) and energy harvesting (EH) in SWIPT-enabled networks with MISO ICs. For this, we derive a multi-objective optimization (MOO) formulation to obtain the optimal beamforming pattern (BP) and power splitting ratio (PR), and we propose a fractional programming (FP) model to find the solution. To tackle the nonconvexity of FP, an evolutionary algorithm (EA)-aided quadratic transform technique is proposed, which recasts the nonconvex problem as a sequence of convex problems to be solved iteratively. To further reduce the communication overhead and computational complexity, a distributed multi-agent learning-based approach is proposed that requires only partial observations of the channel state information (CSI). In this approach, each BS is equipped with a double deep Q network (DDQN) to determine the BP and PR for its UE with lower computational complexity based on the observations through a limited information exchange process. Finally, with the simulation experiments, we verify the trade-off between SE and EH, and we demonstrate that, apart from the FP algorithm introduced to provide superior solutions, the proposed DDQN algorithm also shows its performance gain in terms of utility to be up to 1.23-, 1.87-, and 3.45-times larger than the Advantage Actor Critic (A2C), greedy, and random algorithms, respectively, in comparison in the simulated environment.
    Language English
    Publishing date 2023-04-11
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2052857-7
    ISSN 1424-8220 ; 1424-8220
    ISSN (online) 1424-8220
    ISSN 1424-8220
    DOI 10.3390/s23083900
    Database MEDical Literature Analysis and Retrieval System OnLINE

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