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  1. Article: Minoxidil delivered via a stem cell membrane delivery controlled release system promotes hair growth in C57BL/6J mice.

    Song, Dandan / Pan, Shouxi / Jin, Wenxia / Wu, Ronghui / Zhao, Tianqi / Jiang, Jinlan / Zhu, Mingji

    Frontiers in bioengineering and biotechnology

    2024  Volume 11, Page(s) 1331754

    Abstract: Objective: ...

    Abstract Objective:
    Language English
    Publishing date 2024-01-08
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2719493-0
    ISSN 2296-4185
    ISSN 2296-4185
    DOI 10.3389/fbioe.2023.1331754
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  2. Article: Editorial: Photosynthetic and photorespiratory organelles: metabolism, dynamics, and signaling.

    Hu, Jianping / Pan, Ronghui / Weber, Andreas P M / Whelan, James

    Frontiers in plant science

    2023  Volume 14, Page(s) 1293246

    Language English
    Publishing date 2023-10-10
    Publishing country Switzerland
    Document type Editorial
    ZDB-ID 2613694-6
    ISSN 1664-462X
    ISSN 1664-462X
    DOI 10.3389/fpls.2023.1293246
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  3. Article ; Online: CRISPR/Cas12a-mediated entropy-driven electrochemical biosensor for detection of genetically modified maize Mon810.

    Zhu, Xia / Zhang, Jianfeng / Pan, Ronghui / Zhang, Kai / Dai, Huaxin

    Analytica chimica acta

    2024  Volume 1296, Page(s) 342290

    Abstract: Genetically modified crops (GMOs) have led to significant, if not revolutionary, agricultural advances. The development of GMOs requires necessary regulations, which depend on the detection of GMOs. A sensitive and specific biosensor for the detection of ...

    Abstract Genetically modified crops (GMOs) have led to significant, if not revolutionary, agricultural advances. The development of GMOs requires necessary regulations, which depend on the detection of GMOs. A sensitive and specific biosensor for the detection of transgenic crops is crucial to improve the detection efficiency of GMOs. Here, we developed a CRISPR/Cas12a-mediated entropy-driven electrochemiluminescence (ECL) biosensor for the sensitive and specific detection of MON810, the world's most widely used transgenic insect-resistant maize. We designed two crRNAs to activate CRISPR/Cas12a, allowing it to cut non-specific single strands, and we modified the DNA tetrahedron (DT) on the surface of the gold electrode to diminish non-specific adsorption. The entropy-driven chain displacement reaction with the target DNA takes place for amplification. After optimization, the biosensor has satisfactory accuracy and selectivity, with a linear range of ECL of 1-106 fM and a limit of detection (LOD) of 3.3 fM by the 3σ method. The biosensor does not require polymerase chain reaction (PCR) amplification or complex sample processing, which dramatically improves transgenic crop detection efficiency. This new biosensor achieves rapid, sensitive, and highly specific detection of transgenic crops, and has great potential for large-scale field detection of transgenic crops.
    MeSH term(s) Zea mays/genetics ; CRISPR-Cas Systems ; Crops, Agricultural ; Entropy ; Plants, Genetically Modified/genetics ; DNA ; Biosensing Techniques
    Chemical Substances DNA (9007-49-2)
    Language English
    Publishing date 2024-01-27
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 1483436-4
    ISSN 1873-4324 ; 0003-2670
    ISSN (online) 1873-4324
    ISSN 0003-2670
    DOI 10.1016/j.aca.2024.342290
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  4. Article ; Online: Peroxisome-based metabolic engineering for biomanufacturing and agriculture.

    Song, Shuyan / Ye, Cuifang / Jin, Yijun / Dai, Huaxin / Hu, Jianping / Lian, Jiazhang / Pan, Ronghui

    Trends in biotechnology

    2024  

    Abstract: Subcellular compartmentalization of metabolic pathways plays a crucial role in metabolic engineering. The peroxisome has emerged as a highly valuable and promising compartment for organelle engineering, particularly in the fields of biological ... ...

    Abstract Subcellular compartmentalization of metabolic pathways plays a crucial role in metabolic engineering. The peroxisome has emerged as a highly valuable and promising compartment for organelle engineering, particularly in the fields of biological manufacturing and agriculture. In this review, we summarize the remarkable achievements in peroxisome engineering in yeast, the industrially popular biomanufacturing chassis host, to produce various biocompounds. We also review progress in plant peroxisome engineering, a field that has already exhibited high potential in both biomanufacturing and agriculture. Moreover, we outline various experimentally validated strategies to improve the efficiency of engineered pathways in peroxisomes, as well as prospects of peroxisome engineering.
    Language English
    Publishing date 2024-02-28
    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.2024.02.005
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  5. Article ; Online: Adaptive visual detection of industrial product defects

    Haigang Zhang / Dong Wang / Zhibin Chen / Ronghui Pan

    PeerJ Computer Science, Vol 9, p e

    2023  Volume 1264

    Abstract: Visual inspection of the appearance defects on industrial products has always been a research hotspot pursued by industry and academia. Due to the lack of samples in the industrial defect dataset and the serious class imbalance, deep learning technology ... ...

    Abstract Visual inspection of the appearance defects on industrial products has always been a research hotspot pursued by industry and academia. Due to the lack of samples in the industrial defect dataset and the serious class imbalance, deep learning technology cannot be directly applied to industrial defect visual inspection to meet the real application needs. Transfer learning is a good choice to deal with insufficient samples. However, cross-dataset bias is unavoidable during simple knowledge transfer. We noticed that the appearance defects of industrial products are similar, and most defects can be classified as stains or texture jumps, which provides a research basis for building a universal and adaptive industrial defect detection model. In this article, based on the idea of model-agnostic meta-learning (MAML), we propose an adaptive industrial defect detection model through learning from multiple known industrial defect datasets and then transfer it to the novel anomaly detection tasks. In addition, the Siamese network is used to extract differential features to minimize the influence of defect types on model generalization, and can also highlight defect features and improve model detection performance. At the same time, we add a coordinate attention mechanism to the model, which realizes the feature enhancement of the region of interest in terms of two coordinate dimensions. In the simulation experiments, we construct and publish a visual defect dataset of injection molded bottle cups, termed BC defects, which can complement existing industrial defect visual data benchmarks. Simulation results based on BC defects dataset and other public datasets have demonstrated the effectiveness of the proposed general visual detection model for industrial defects. The dataset and code are available at https://github.com/zhg-SZPT/MeDetection.
    Keywords Model-agnostic meta-learning ; Industrial visual inspection ; Convolutional neural network ; Electronic computers. Computer science ; QA75.5-76.95
    Subject code 006
    Language English
    Publishing date 2023-03-01T00:00:00Z
    Publisher PeerJ Inc.
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Article ; Online: Protein ubiquitination in plant peroxisomes.

    Akhter, Delara / Zhang, Yuchan / Hu, Jianping / Pan, Ronghui

    Journal of integrative plant biology

    2023  Volume 65, Issue 2, Page(s) 371–380

    Abstract: Protein ubiquitination regulates diverse cellular processes in eukaryotic organisms, from growth and development to stress response. Proteins subjected to ubiquitination can be found in virtually all subcellular locations and organelles, including ... ...

    Abstract Protein ubiquitination regulates diverse cellular processes in eukaryotic organisms, from growth and development to stress response. Proteins subjected to ubiquitination can be found in virtually all subcellular locations and organelles, including peroxisomes, single-membrane and highly dynamic organelles ubiquitous in eukaryotes. Peroxisomes contain metabolic functions essential to plants and animals such as lipid catabolism, detoxification of reactive oxygen species (ROS), biosynthesis of vital hormones and cofactors, and photorespiration. Plant peroxisomes possess a complex proteome with functions varying among different tissue types and developmental stages, and during plant response to distinct environmental cues. However, how these diverse functions are regulated at the post-translational level is poorly understood, especially in plants. In this review, we summarized current knowledge of the involvement of protein ubiquitination in peroxisome protein import, remodeling, pexophagy, and metabolism, focusing on plants, and referencing discoveries from other eukaryotic systems when relevant. Based on previous ubiquitinomics studies, we compiled a list of 56 ubiquitinated Arabidopsis peroxisomal proteins whose functions are associated with all the major plant peroxisomal metabolic pathways. This discovery suggests a broad impact of protein ubiquitination on plant peroxisome functions, therefore substantiating the need to investigate this significant regulatory mechanism in peroxisomes at more depths.
    MeSH term(s) Animals ; Peroxisomes/metabolism ; Ubiquitination ; Plants/metabolism ; Arabidopsis/metabolism ; Arabidopsis Proteins/metabolism
    Chemical Substances Arabidopsis Proteins
    Language English
    Publishing date 2023-01-01
    Publishing country China (Republic : 1949- )
    Document type Journal Article ; Review
    ZDB-ID 2130095-1
    ISSN 1744-7909 ; 1672-9072
    ISSN (online) 1744-7909
    ISSN 1672-9072
    DOI 10.1111/jipb.13346
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  7. Article ; Online: Adaptive visual detection of industrial product defects.

    Zhang, Haigang / Wang, Dong / Chen, Zhibin / Pan, Ronghui

    PeerJ. Computer science

    2023  Volume 9, Page(s) e1264

    Abstract: Visual inspection of the appearance defects on industrial products has always been a research hotspot pursued by industry and academia. Due to the lack of samples in the industrial defect dataset and the serious class imbalance, deep learning technology ... ...

    Abstract Visual inspection of the appearance defects on industrial products has always been a research hotspot pursued by industry and academia. Due to the lack of samples in the industrial defect dataset and the serious class imbalance, deep learning technology cannot be directly applied to industrial defect visual inspection to meet the real application needs. Transfer learning is a good choice to deal with insufficient samples. However, cross-dataset bias is unavoidable during simple knowledge transfer. We noticed that the appearance defects of industrial products are similar, and most defects can be classified as stains or texture jumps, which provides a research basis for building a universal and adaptive industrial defect detection model. In this article, based on the idea of model-agnostic meta-learning (MAML), we propose an adaptive industrial defect detection model through learning from multiple known industrial defect datasets and then transfer it to the novel anomaly detection tasks. In addition, the Siamese network is used to extract differential features to minimize the influence of defect types on model generalization, and can also highlight defect features and improve model detection performance. At the same time, we add a coordinate attention mechanism to the model, which realizes the feature enhancement of the region of interest in terms of two coordinate dimensions. In the simulation experiments, we construct and publish a visual defect dataset of injection molded bottle cups, termed BC defects, which can complement existing industrial defect visual data benchmarks. Simulation results based on BC defects dataset and other public datasets have demonstrated the effectiveness of the proposed general visual detection model for industrial defects. The dataset and code are available at https://github.com/zhg-SZPT/MeDetection.
    Language English
    Publishing date 2023-03-15
    Publishing country United States
    Document type Journal Article
    ISSN 2376-5992
    ISSN (online) 2376-5992
    DOI 10.7717/peerj-cs.1264
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  8. Article ; Online: Protein ubiquitination in plant peroxisomes

    Akhter, Delara / Zhang, Yuchan / Hu, Jianping / Pan, Ronghui

    Journal of Integrative Plant Biology. 2023 Feb., v. 65, no. 2 p.371-380

    2023  

    Abstract: Protein ubiquitination regulates diverse cellular processes in eukaryotic organisms, from growth and development to stress response. Proteins subjected to ubiquitination can be found in virtually all subcellular locations and organelles, including ... ...

    Abstract Protein ubiquitination regulates diverse cellular processes in eukaryotic organisms, from growth and development to stress response. Proteins subjected to ubiquitination can be found in virtually all subcellular locations and organelles, including peroxisomes, single‐membrane and highly dynamic organelles ubiquitous in eukaryotes. Peroxisomes contain metabolic functions essential to plants and animals such as lipid catabolism, detoxification of reactive oxygen species (ROS), biosynthesis of vital hormones and cofactors, and photorespiration. Plant peroxisomes possess a complex proteome with functions varying among different tissue types and developmental stages, and during plant response to distinct environmental cues. However, how these diverse functions are regulated at the post‐translational level is poorly understood, especially in plants. In this review, we summarized current knowledge of the involvement of protein ubiquitination in peroxisome protein import, remodeling, pexophagy, and metabolism, focusing on plants, and referencing discoveries from other eukaryotic systems when relevant. Based on previous ubiquitinomics studies, we compiled a list of 56 ubiquitinated Arabidopsis peroxisomal proteins whose functions are associated with all the major plant peroxisomal metabolic pathways. This discovery suggests a broad impact of protein ubiquitination on plant peroxisome functions, therefore substantiating the need to investigate this significant regulatory mechanism in peroxisomes at more depths.
    Keywords Arabidopsis ; biosynthesis ; eukaryotic cells ; growth and development ; lipid metabolism ; macroautophagy ; peroxisomes ; photorespiration ; plant response ; protein transport ; proteome ; reactive oxygen species ; stress response ; ubiquitination
    Language English
    Dates of publication 2023-02
    Size p. 371-380.
    Publishing place John Wiley & Sons, Ltd
    Document type Article ; Online
    Note REVIEW
    ZDB-ID 2130095-1
    ISSN 1744-7909 ; 1672-9072
    ISSN (online) 1744-7909
    ISSN 1672-9072
    DOI 10.1111/jipb.13346
    Database NAL-Catalogue (AGRICOLA)

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  9. Article ; Online: Inhibitory Effect of Nano-targeted Micelle Administration Combined with in Vitro Radiotherapy on Glioma Based on Nuclear Magnetic Resonance Technology.

    Jin, Ronghui / Xu, Yingping / Jiang, Pan

    Cellular and molecular biology (Noisy-le-Grand, France)

    2022  Volume 68, Issue 7, Page(s) 171–176

    Abstract: Glioma is a malignant tumor originating from the central nervous system. Glioma is the incidence rate of the central nervous system in adults. Nanotechnology has been widely used in drug delivery in vivo, achieving targeted drug delivery through surface ... ...

    Abstract Glioma is a malignant tumor originating from the central nervous system. Glioma is the incidence rate of the central nervous system in adults. Nanotechnology has been widely used in drug delivery in vivo, achieving targeted drug delivery through surface modification. At the same time, the samples measured by NMR have no bias to all compounds, and there is no need for specific internal standards for quantification. Therefore, based on the use of nuclear magnetic resonance technology, this paper analyzed the inhibitory effect of nano-targeted micelles combined with in vitro radiotherapy on glioma. The results show that the coupling constants of β - CH3 of Ala and β - CH3 of Lac are close. It is difficult to distinguish the spectral lines of Ala and Lae by 1.5T NMR. DHA-PLys(s-s)P can efficiently deliver drugs across BBB and into brain parenchymal cells to release drugs. Due to its increased stability in the systemic circulation, DHA-PLys(s-s)P can help to improve drug delivery efficiency. The DNA damage of U87 and U251 cells was more serious than that of C6 cells. There was a positive correlation between DNA damage and Cho/Cr ratio, indicating that nano-targeted micelles combined with in vitro radiotherapy have an inhibitory effect on glioma.
    Language English
    Publishing date 2022-07-31
    Publishing country France
    Document type Journal Article
    ZDB-ID 1161779-2
    ISSN 1165-158X ; 0145-5680
    ISSN (online) 1165-158X
    ISSN 0145-5680
    DOI 10.14715/cmb/2022.68.7.28
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    In stock of ZB MED Cologne/Königswinter

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  10. Article ; Online: Author Correction: A genomic catalogue of soil microbiomes boosts mining of biodiversity and genetic resources.

    Ma, Bin / Lu, Caiyu / Wang, Yiling / Yu, Jingwen / Zhao, Kankan / Xue, Ran / Ren, Hao / Lv, Xiaofei / Pan, Ronghui / Zhang, Jiabao / Zhu, Yongguan / Xu, Jianming

    Nature communications

    2023  Volume 14, Issue 1, Page(s) 8079

    Language English
    Publishing date 2023-12-06
    Publishing country England
    Document type Published Erratum
    ZDB-ID 2553671-0
    ISSN 2041-1723 ; 2041-1723
    ISSN (online) 2041-1723
    ISSN 2041-1723
    DOI 10.1038/s41467-023-44072-7
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