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  1. Article ; Online: BreedingAIDB: a database integrating crop genome-to-phenotype paired data with machine learning tools applicable in breeding.

    Shen, Zijie / Shen, Enhui / Yang, Kun / Fan, Zuoqian / Zhu, Qian-Hao / Fan, Longjiang / Ye, Chu-Yu

    Plant communications

    2024  , Page(s) 100894

    Language English
    Publishing date 2024-04-02
    Publishing country China
    Document type Journal Article
    ISSN 2590-3462
    ISSN (online) 2590-3462
    DOI 10.1016/j.xplc.2024.100894
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  2. Article ; Online: Characterizing Carbon Emissions and the Associations with Socio-Economic Development in Chinese Cities.

    Shen, Zijie / Xin, Liguo

    International journal of environmental research and public health

    2022  Volume 19, Issue 21

    Abstract: Reducing carbon emissions in cities is crucial for addressing climate change, while the city-level emissions of different compositions and their relationships with socio-economic features remain largely unknown in China. Here, we explored the city-level ... ...

    Abstract Reducing carbon emissions in cities is crucial for addressing climate change, while the city-level emissions of different compositions and their relationships with socio-economic features remain largely unknown in China. Here, we explored the city-level emission pattern from the industrial, transportation, and household sectors and the emission intensity, as well as their associations with socio-economic features in China, using the up-to-date (2020) CO
    MeSH term(s) Economic Development ; Cities ; Carbon/analysis ; Carbon Dioxide/analysis ; China
    Chemical Substances Carbon (7440-44-0) ; Carbon Dioxide (142M471B3J)
    Language English
    Publishing date 2022-10-23
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2175195-X
    ISSN 1660-4601 ; 1661-7827
    ISSN (online) 1660-4601
    ISSN 1661-7827
    DOI 10.3390/ijerph192113786
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  3. Article ; Online: Inhibition of the chromatin remodeling factor NURF rescued sterility by a clinic variant of NuRD.

    Shen, Zijie / Guo, Zhengyang / Ou, Guangshuo / Li, Wei

    Molecular biology of the cell

    2023  Volume 35, Issue 1, Page(s) ar13

    Abstract: The nucleosome remodeling and deacetylase (NuRD) complex is essential for gene expression and cell fate determination, and missense mutations of NuRD caused neurodevelopmental diseases. However, the molecular pathogenesis of clinic NuRD variants is ... ...

    Abstract The nucleosome remodeling and deacetylase (NuRD) complex is essential for gene expression and cell fate determination, and missense mutations of NuRD caused neurodevelopmental diseases. However, the molecular pathogenesis of clinic NuRD variants is unknown. Here, we introduced a clinic CHD3 (L915F) variant into
    MeSH term(s) Animals ; Female ; Nucleosomes ; Chromatin Assembly and Disassembly ; Transcription Factors/genetics ; Transcription Factors/metabolism ; Chromatin ; Mi-2 Nucleosome Remodeling and Deacetylase Complex/genetics ; Mi-2 Nucleosome Remodeling and Deacetylase Complex/metabolism ; Drosophila Proteins/metabolism ; Caenorhabditis elegans/metabolism ; Infertility
    Chemical Substances Nucleosomes ; Transcription Factors ; Chromatin ; Mi-2 Nucleosome Remodeling and Deacetylase Complex (EC 3.5.1.98) ; Drosophila Proteins
    Language English
    Publishing date 2023-11-08
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1098979-1
    ISSN 1939-4586 ; 1059-1524
    ISSN (online) 1939-4586
    ISSN 1059-1524
    DOI 10.1091/mbc.E23-05-0197
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    In stock of ZB MED Cologne/Königswinter

    Zs.A 2853: Show issues Location:
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  4. Article ; Online: Characterizing Carbon Emissions and the Associations with Socio-Economic Development in Chinese Cities

    Zijie Shen / Liguo Xin

    International Journal of Environmental Research and Public Health, Vol 19, Iss 13786, p

    2022  Volume 13786

    Abstract: Reducing carbon emissions in cities is crucial for addressing climate change, while the city-level emissions of different compositions and their relationships with socio-economic features remain largely unknown in China. Here, we explored the city-level ... ...

    Abstract Reducing carbon emissions in cities is crucial for addressing climate change, while the city-level emissions of different compositions and their relationships with socio-economic features remain largely unknown in China. Here, we explored the city-level emission pattern from the industrial, transportation, and household sectors and the emission intensity, as well as their associations with socio-economic features in China, using the up-to-date (2020) CO 2 emissions based on 0.1° grid (10 × 10 km) emission data. The results show that: (1) CO 2 emissions from the industrial sector were considerably dominant (78%), followed by indirect (10%), transportation (8%), and household (2%) emissions on the national scale; (2) combining total emissions with emission intensity, high emission–high intensity cities, which are the most noteworthy regions, were concentrated in the North, while low emission–low intensity types mainly occurred in the South-West; (3) cities with a higher GDP tend to emit more CO 2 , while higher-income cities tend to emit less CO 2 , especially from the household sector. Cities with a developed economy, as indicated by GDP and income, would have low emissions per GDP, representing a high emission efficiency. Reducing the proportion of the secondary sector of the economy could significantly decrease CO 2 emissions, especially for industrial cities. Therefore, the carbon reduction policy in China should focus on the industrial cities in the North with high emission–high intensity performance. Increasing the income and proportion of the tertiary industry and encouraging compact cities can effectively reduce the total emissions during the economic development and urbanization process.
    Keywords carbon emissions ; city ; socio-economic features ; Medicine ; R
    Subject code 336
    Language English
    Publishing date 2022-10-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article: Correction: Zhang et al. The Stressing State Features of a Bottom Frame Structure Revealed from the Shaking Table Strain Data.

    Zhang, Lingxin / Li, Rui / Shen, Zijie / Liu, Bai / Kong, Jianhui / Zhou, Guangchun

    Materials (Basel, Switzerland)

    2023  Volume 17, Issue 1

    Abstract: In the original publication [ ... ]. ...

    Abstract In the original publication [...].
    Language English
    Publishing date 2023-12-28
    Publishing country Switzerland
    Document type Published Erratum
    ZDB-ID 2487261-1
    ISSN 1996-1944
    ISSN 1996-1944
    DOI 10.3390/ma17010169
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  6. Article: First report of anthracnose caused by

    Ding, Junjie / Shen, Hongbo / Yao, Liangliang / Gao, Xuedong / Zhang, Maoming / Wang, Zijie / Li, Yonggang / Yang, Xiaohe

    Plant disease

    2023  

    Abstract: Hypericum ... ...

    Abstract Hypericum chinensis
    Language English
    Publishing date 2023-11-30
    Publishing country United States
    Document type Journal Article
    ZDB-ID 754182-x
    ISSN 0191-2917
    ISSN 0191-2917
    DOI 10.1094/PDIS-08-23-1496-PDN
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    In stock of ZB MED Bonn / Germany

    Z 2043: Show issues

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  7. Article: Research on the General Failure Law of a CTRC Column by Modeling FEM Output Data.

    Shen, Zijie / Liu, Bai / Zhou, Guangchun

    Materials (Basel, Switzerland)

    2022  Volume 15, Issue 17

    Abstract: In this paper, a finite element model (FEM) is developed based on a set of circular steel tube reinforced concrete (CTRC) columns with axial compression and eccentric compression tests. The stressing state characteristics of the FEM are modeled in the ... ...

    Abstract In this paper, a finite element model (FEM) is developed based on a set of circular steel tube reinforced concrete (CTRC) columns with axial compression and eccentric compression tests. The stressing state characteristics of the FEM are modeled in the form of characteristic pairs (mode-characteristic parameters) based on the structural stressing state theory and the proposed correlation modeling method. The slope increasing criterion is applied to the correlation characteristic parameter curve to obtain the characteristic point Q where the CTRC stressing state undergoes a qualitative change, and the characteristic point Q is defined as the new failure load point of the CTRC column. By selecting the element strain energy density at different locations of the FEM for correlation stressing state modeling and dividing the correlation stressing state sub-modes (concrete, steel tube, vertical reinforcement, and stirrup reinforcement), the structural stressing state theory and the rationality of the proposed correlation stressing state modeling method are verified. In addition, the certainty and reasonableness of the failure load points of the CTRC columns are revealed and verified.
    Language English
    Publishing date 2022-09-01
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2487261-1
    ISSN 1996-1944
    ISSN 1996-1944
    DOI 10.3390/ma15176058
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  8. Article ; Online: Stressing State Analysis of SRC Column with Modeling Test and Finite Element Model Data

    Zijie Shen / Bai Liu / Guangchun Zhou

    Applied Sciences, Vol 12, Iss 8866, p

    2022  Volume 8866

    Abstract: This paper reveals the failure characteristic points of the spiral reinforced column during the damage process by modeling and analyzing the stressing state of the column with the test and finite element output data. At the same time, the structural ... ...

    Abstract This paper reveals the failure characteristic points of the spiral reinforced column during the damage process by modeling and analyzing the stressing state of the column with the test and finite element output data. At the same time, the structural stressing state theory and the correlation modeling analysis method’s applicability to spiral reinforced concrete columns are verified. First, a finite element model was established based on the literature’s spiral reinforced concrete column tests. Then, correlation modeling was performed on the test strain data to obtain correlation characteristic pairs (mode-characteristic parameters), and stressing state modeling was performed on the internal energy and element strain energy data from the finite element model to obtain stressing state characteristic pairs. The slope increment criterion is applied to the obtained stressing state characteristic parameter curves to reveal the characteristic point Q, defined as the failure starting point. The reasonableness of the failure starting point is further verified by observing the cloud diagram of the finite element model in the vicinity of the characteristic point Q. In general, the correlation modeling method proposed in this paper can provide a new reference for structural stressing state analysis. In addition, the failure starting point of spiral reinforced concrete columns revealed in this paper can be used as a design reference.
    Keywords SRC column ; finite element model ; correlation modeling method ; structural stressing state theory ; characteristic pair ; characteristic points ; Technology ; T ; Engineering (General). Civil engineering (General) ; TA1-2040 ; Biology (General) ; QH301-705.5 ; Physics ; QC1-999 ; Chemistry ; QD1-999
    Subject code 690
    Language English
    Publishing date 2022-09-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Article ; Online: Netrin-1 and RGMa: Novel Regulators of Atherosclerosis-Related Diseases.

    Yuan, Xiaofan / Shen, Guanru / Xiao, Hongmei / Wang, Zijie / Ma, Yue / Qin, Xinyue

    Cardiovascular drugs and therapy

    2023  

    Abstract: Backgrounds: Neuronal guidance proteins (NGPs) have been demonstrated to guide the elongation of neuronal axonal growth cones in the developing central nervous system. Non-neuronal functions of NGPs have also been described, especially in relation to ... ...

    Abstract Backgrounds: Neuronal guidance proteins (NGPs) have been demonstrated to guide the elongation of neuronal axonal growth cones in the developing central nervous system. Non-neuronal functions of NGPs have also been described, especially in relation to atherosclerosis.
    Findings: Netrin-1 and repulsive guidance molecule a (RGMa) are NGPs that have been shown to regulate endothelial cell adhesion and angiogenesis, macrophage migration and apoptosis, smooth muscle cells (SMCs) phenotypic dedifferentiation and mobility, chemokine activities, and inflammatory responses during atherosclerosis initiation and progression.
    Purposes: However, mechanistic studies have generated controversy about the specific role of Netrin-1 in atherosclerosis due to the diversity of its structure, receptors and cell sources, and the actions of RGMa in atherosclerosis have not been reported in previous reviews. Therefore, the current work reviews the evidence for roles of Netrin-1 and RGMa in the initiation and progression of atherosclerosis and discusses potential therapeutic targets in the future.
    Language English
    Publishing date 2023-07-13
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 639068-7
    ISSN 1573-7241 ; 0920-3206
    ISSN (online) 1573-7241
    ISSN 0920-3206
    DOI 10.1007/s10557-023-07478-5
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    In stock of ZB MED Cologne/Königswinter

    Zs.B 3057: Show issues Location:
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  10. Article ; Online: Basic polar and hydrophobic properties are the main characteristics that affect the binding of transcription factors to methylation sites.

    Shen, Zijie / Zou, Quan

    Bioinformatics (Oxford, England)

    2020  Volume 36, Issue 15, Page(s) 4263–4268

    Abstract: Motivation: Methylation and transcription factors (TFs) are part of the mechanisms regulating gene expression. However, the numerous mechanisms regulating the interactions between methylation and TFs remain unknown. We employ machine-learning techniques ...

    Abstract Motivation: Methylation and transcription factors (TFs) are part of the mechanisms regulating gene expression. However, the numerous mechanisms regulating the interactions between methylation and TFs remain unknown. We employ machine-learning techniques to discover the characteristics of TFs that bind to methylation sites.
    Results: The classical machine-learning analysis process focuses on improving the performance of the analysis method. Conversely, we focus on the functional properties of the TF sequences. We obtain the principal properties of TFs, namely, the basic polar and hydrophobic Ile amino acids affecting the interaction between TFs and methylated DNA. The recall of the positive instances is 0.878 when their basic polar value is >0.1743. Both basic polar and hydrophobic Ile amino acids distinguish 74% of TFs bound to methylation sites. Therefore, we infer that basic polar amino acids affect the interactions of TFs with methylation sites. Based on our results, the role of the hydrophobic Ile residue is consistent with that described in previous studies, and the basic polar amino acids may also be a key factor modulating the interactions between TFs and methylation.
    Supplementary information: Supplementary data are available at Bioinformatics online.
    MeSH term(s) Base Sequence ; Binding Sites ; Methylation ; Protein Binding ; Transcription Factors/genetics ; Transcription Factors/metabolism
    Chemical Substances Transcription Factors
    Language English
    Publishing date 2020-02-28
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 1422668-6
    ISSN 1367-4811 ; 1367-4803
    ISSN (online) 1367-4811
    ISSN 1367-4803
    DOI 10.1093/bioinformatics/btaa492
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