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  1. Article: Topological effect of an intramolecular split G-quadruplex on thioflavin T binding and fluorescence light-up.

    Lv, Mengmeng / Ren, Jiangtao / Wang, Erkang

    Chemical science

    2024  Volume 15, Issue 12, Page(s) 4519–4528

    Abstract: In this work, the topological effect on binding interaction between a G-quadruplex and thioflavin T (ThT) ligand was systematically investigated on a platform of an intramolecular split G-quadruplex (Intra-SG). Distinct fluorescence changes from ThT were ...

    Abstract In this work, the topological effect on binding interaction between a G-quadruplex and thioflavin T (ThT) ligand was systematically investigated on a platform of an intramolecular split G-quadruplex (Intra-SG). Distinct fluorescence changes from ThT were presented in the presence of distinct split modes of Intra-SG structures and an intriguing phenomenon of target-induced fluorescence light-up occurred for split modes 2 : 10, 5 : 7 and 8 : 4. It was validated that hybridization between the Intra-SG spacer and target did not unfold the G-quadruplex, but facilitated the ThT binding. Moreover, the 3' guanine-rich fragment of Intra-SG was very susceptible to topology variation produced by the bound target strand. Additionally, a bioanalytical method was developed for ultrasensitive gene detection, confirming the utility of the ThT/Intra-SG complex as a universal signal transducer. It is believed that the results and disclosed rules will inspire researchers to develop many new DNA-based signal transducers in the future.
    Language English
    Publishing date 2024-02-09
    Publishing country England
    Document type Journal Article
    ZDB-ID 2559110-1
    ISSN 2041-6539 ; 2041-6520
    ISSN (online) 2041-6539
    ISSN 2041-6520
    DOI 10.1039/d3sc06862e
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  2. Article ; Online: New Three-Dimensional Supramolecular Framework: Crystal Structure and Photocatalytic Property.

    Li, Jing / Ren, Hongjiang / Li, Jiangtao

    Journal of fluorescence

    2023  Volume 34, Issue 1, Page(s) 333–339

    Abstract: In this work, benzimidazole (Hbim) and Cu(II) ions ligands were chosen as building blocks to produce a novel Cu(II) compound (CP) based on { ... ...

    Abstract In this work, benzimidazole (Hbim) and Cu(II) ions ligands were chosen as building blocks to produce a novel Cu(II) compound (CP) based on {Cu
    Language English
    Publishing date 2023-05-30
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 2016892-5
    ISSN 1573-4994 ; 1053-0509
    ISSN (online) 1573-4994
    ISSN 1053-0509
    DOI 10.1007/s10895-023-03282-4
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  3. Article ; Online: Potential Application Values of Two Multicoloured Coordination Compounds as Multicolor Luminescent Materials.

    Li, Jing / Ren, Hongjiang / Li, Jiangtao / Wang, Liuchang

    Journal of fluorescence

    2023  

    Abstract: Two Co(II)-based coordination compounds, namely {[Co(apc) ...

    Abstract Two Co(II)-based coordination compounds, namely {[Co(apc)
    Language English
    Publishing date 2023-10-03
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 2016892-5
    ISSN 1573-4994 ; 1053-0509
    ISSN (online) 1573-4994
    ISSN 1053-0509
    DOI 10.1007/s10895-023-03450-6
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  4. Article ; Online: Application Values of Two Cu(II) Schiff Base Coordination Complexes on Blue Fluorescent Materials.

    Li, Jing / Ren, Hongjiang / Li, Jiangtao

    Journal of fluorescence

    2023  

    Abstract: Two Schiff base binuclear Cu(II) compounds, [ ... ...

    Abstract Two Schiff base binuclear Cu(II) compounds, [Cu
    Language English
    Publishing date 2023-09-11
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 2016892-5
    ISSN 1573-4994 ; 1053-0509
    ISSN (online) 1573-4994
    ISSN 1053-0509
    DOI 10.1007/s10895-023-03423-9
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  5. Article ; Online: Synthesis and Fluorescent Characteristics Study of Two Novel Co(II) Complexes.

    Li, Jing / Ren, Hongjiang / Li, Jiangtao / Wang, Liuchang

    Journal of fluorescence

    2023  

    Abstract: In this work, two novel mixed-ligand CPs that has a compositions of [ ... ...

    Abstract In this work, two novel mixed-ligand CPs that has a compositions of [Co
    Language English
    Publishing date 2023-10-31
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 2016892-5
    ISSN 1573-4994 ; 1053-0509
    ISSN (online) 1573-4994
    ISSN 1053-0509
    DOI 10.1007/s10895-023-03488-6
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  6. Article ; Online: Recent Advances in the Preparation and Application of DNA-Encoded Metal Nanoclusters

    Fang Yin / Jiangtao Ren / Erkang Wang

    Chemistry, Vol 5, Iss 4, Pp 2418-

    2023  Volume 2440

    Abstract: DNA as an intriguing organic ligand has been widely employed for synthesizing metal nanoclusters and engineering their properties. This review aims to present recent progress on DNA-encoded metal (Ag, Cu, Au, Ag/Pt, Cu/Ag, etc.) nanoclusters (DNA-MNCs), ... ...

    Abstract DNA as an intriguing organic ligand has been widely employed for synthesizing metal nanoclusters and engineering their properties. This review aims to present recent progress on DNA-encoded metal (Ag, Cu, Au, Ag/Pt, Cu/Ag, etc.) nanoclusters (DNA-MNCs), focusing on their applications in the fields of analysis, logic operation, and therapy based on properties including fluorescence, electrochemiluminescence (ECL), and antibacterial and catalytic activity, and summarizes the attractive features of the latest research. The key points are briefly described as follows. (1) Analytical systems have been constructed based on fluorescence regulation, and nuclease-assisted and enzyme-free amplification strategies have been extensively adopted with fluorescent DNA-MNCs for amplified analysis. (2) DNA-MNCs may play more than one role (emitter, quencher, or catalyst) in ECL-based analytical systems. (3) Apart from antibacterial activity, DNA-MNCs also possess apparent catalytic capability, such as enzyme-like activity (i.e., nanozymes), which has been applied in colorimetric systems. (4) Reversibly regulating the catalytic activity of DNA-MNCs has been attained with DNA systems. It is believed that through in-depth investigation of the relationship between atomic structure and property, more novel DNA-MNCs will be explored and applied in the future.
    Keywords DNA ; metal nanoclusters ; fluorescence ; catalytic activity ; bioanalysis ; antibacterial ; Chemistry ; QD1-999
    Subject code 612
    Language English
    Publishing date 2023-11-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article ; Online: A new 3D supramolecular Cu(ii) framework

    Li Jing / Ren Hongjiang / Li Jiangtao / Wang Liuchang

    Open Chemistry, Vol 21, Iss 1, Pp 121860-

    Crystal structure and photocatalytic characteristics

    2023  Volume 16

    Abstract: Reported here is a new Cu(ii) compound with the formula of {Cu4(μ 2-Cl)6(μ 4-O)(4-NH2-py)4}n (1, 4-NH2-py = 4-amino-pyridine). The analysis of X-ray diffraction shows that the complex 1 indicates a 0D separated skeleton with {Cu4(μ 2-Cl)6(μ 4-O)} ... ...

    Abstract Reported here is a new Cu(ii) compound with the formula of {Cu4(μ 2-Cl)6(μ 4-O)(4-NH2-py)4}n (1, 4-NH2-py = 4-amino-pyridine). The analysis of X-ray diffraction shows that the complex 1 indicates a 0D separated skeleton with {Cu4(μ 2-Cl)6(μ 4-O)} tetranuclear cluster. The interactions of H-bond between the amino groups and μ 2-Cl anions from adjacent 0D cluster further extended this 0D cluster into a 3D supramolecular framework. In addition, this compound has excellent photocatalytic activities for the degradation of methyl blue under UV radiation. The cyclic testing results indicate that complex 1 exhibits good recyclability, as it can be repeated for as many as five cycles with no noticeable loss of performance, revealing its potential application in pollutant degradation within the environmental field.
    Keywords cu(ii) compound ; tetranuclear cluster ; supramolecular framework ; photocatalysis ; Chemistry ; QD1-999
    Subject code 540
    Language English
    Publishing date 2023-10-01T00:00:00Z
    Publisher De Gruyter
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Book ; Online: Road Disease Detection based on Latent Domain Background Feature Separation and Suppression

    Zheng, Juwu / Ren, Jiangtao

    2023  

    Abstract: Road disease detection is challenging due to the the small proportion of road damage in target region and the diverse background,which introduce lots of domain information.Besides, disease categories have high similarity,makes the detection more ... ...

    Abstract Road disease detection is challenging due to the the small proportion of road damage in target region and the diverse background,which introduce lots of domain information.Besides, disease categories have high similarity,makes the detection more difficult. In this paper, we propose a new LDBFSS(Latent Domain Background Feature Separation and Suppression) network which could perform background information separation and suppression without domain supervision and contrastive enhancement of object features.We combine our LDBFSS network with YOLOv5 model to enhance disease features for better road disease detection. As the components of LDBFSS network, we first design a latent domain discovery module and a domain adversarial learning module to obtain pseudo domain labels through unsupervised method, guiding domain discriminator and model to train adversarially to suppress background information. In addition, we introduce a contrastive learning module and design k-instance contrastive loss, optimize the disease feature representation by increasing the inter-class distance and reducing the intra-class distance for object features. We conducted experiments on two road disease detection datasets, GRDDC and CNRDD, and compared with other models,which show an increase of nearly 4% on GRDDC dataset compared with optimal model, and an increase of 4.6% on CNRDD dataset. Experimental results prove the effectiveness and superiority of our model.
    Keywords Computer Science - Computer Vision and Pattern Recognition
    Subject code 006
    Publishing date 2023-09-14
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Book ; Online: Multi Self-supervised Pre-fine-tuned Transformer Fusion for Better Intelligent Transportation Detection

    Zheng, Juwu / Ren, Jiangtao

    2023  

    Abstract: Intelligent transportation system combines advanced information technology to provide intelligent services such as monitoring, detection, and early warning for modern transportation. Intelligent transportation detection is the cornerstone of many ... ...

    Abstract Intelligent transportation system combines advanced information technology to provide intelligent services such as monitoring, detection, and early warning for modern transportation. Intelligent transportation detection is the cornerstone of many intelligent traffic services by identifying task targets through object detection methods. However existing detection methods in intelligent transportation are limited by two aspects. First, there is a difference between the model knowledge pre-trained on large-scale datasets and the knowledge required for target task. Second, most detection models follow the pattern of single-source learning, which limits the learning ability. To address these problems, we propose a Multi Self-supervised Pre-fine-tuned Transformer Fusion (MSPTF) network, consisting of two steps: unsupervised pre-fine-tune domain knowledge learning and multi-model fusion target task learning. In the first step, we introduced self-supervised learning methods into transformer model pre-fine-tune which could reduce data costs and alleviate the knowledge gap between pre-trained model and target task. In the second step, we take feature information differences between different model architectures and different pre-fine-tune tasks into account and propose Multi-model Semantic Consistency Cross-attention Fusion (MSCCF) network to combine different transformer model features by considering channel semantic consistency and feature vector semantic consistency, which obtain more complete and proper fusion features for detection task. We experimented the proposed method on vehicle recognition dataset and road disease detection dataset and achieved 1.1%, 5.5%, 4.2% improvement compared with baseline and 0.7%, 1.8%, 1.7% compared with sota, which proved the effectiveness of our method.
    Keywords Computer Science - Computer Vision and Pattern Recognition
    Subject code 004 ; 006
    Publishing date 2023-10-17
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Article ; Online: Dual-signal readout sensing of ATP content in single dental pulp stem cells during differentiation via functionalized glass nanopipettes.

    Guo, Wenting / Wang, Yong / Qi, Guohua / Wang, Jiafeng / Ren, Jiangtao / Jin, Yongdong / Wang, Erkang

    Analytica chimica acta

    2024  Volume 1293, Page(s) 342200

    Abstract: Adenosine triphosphate (ATP) is regarded as the "energy currency" in living cells, so real-time quantification of content variation of intracellular ATP is highly desired for understanding some important physiological processes. Due to its single- ... ...

    Abstract Adenosine triphosphate (ATP) is regarded as the "energy currency" in living cells, so real-time quantification of content variation of intracellular ATP is highly desired for understanding some important physiological processes. Due to its single-molecule readout ability, nanopipette sensing has emerged as a powerful technique for molecular sensing. In this study, based on the effect of targeting-aptamer binding on ionic current, and fluorescence resonance energy transfer (FRET), we reported a dual-signal readout nanopipette sensing system for monitoring ATP content variation at the subcellular level. In the presence of ATP, the complementary DNA-modified gold nanoparticles (cDNAs-AuNPs) were released from the inner wall of the nanopipette, which leads to sensitive response variations in ionic current rectification and fluorescence intensity. The developed nanopipette sensor was capable of detecting ATP in single cells, and the fluctuation of ATP content in the differentiation of dental pulp stem cells (DPSCs) was further quantified with this method. The study provides a more reliable nanopipette sensing platform due to the introduction of fluorescence readout signals. Significantly, the study of energy fluctuation during cell differentiation from the perspective of energy metabolism is helpful for differentiation regulation and cell therapy.
    MeSH term(s) Adenosine Triphosphate/chemistry ; Gold/chemistry ; Dental Pulp ; Metal Nanoparticles/chemistry ; Cell Differentiation ; Stem Cells
    Chemical Substances Adenosine Triphosphate (8L70Q75FXE) ; Gold (7440-57-5)
    Language English
    Publishing date 2024-01-11
    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.2024.342200
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