Automated Author Profile

Wang, Jiaxing

Current S-Index

14.1

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

0.6

Average Dataset Index per dataset

Total Datasets

24

Total datasets for this author

Average FAIR Score

58.2%

Average FAIR Score per dataset

Total Citations

18

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Gypenosides ameliorate heat stress-induced inflammatory injury in the bursa of Fabricius of broilers by activating the NF-κB signaling pathway

Data Description and InterpretationExperimental Subjects and DesignThis study selected a total of 200 broilers at 28 days of age, randomly divided into five groups (40 broilers per group), with the specific groupings as follows:CON (Control Group): Basal diet + Normal temperature (24 ± 1 ℃)HS (Heat Stress Group): Basal diet + High temperature (33 ± 1 ℃, 8 hours per day)HSLGP (Low-Dose Gypenoside Group): Basal diet + 200 mg/kg GP + High temperatureHSMGP (Medium-Dose Gypenoside Group): Basal diet + 300 mg/kg GP + High temperatureHSHGP (High-Dose Gypenoside Group): Basal diet + 450 mg/kg GP + High temperatureData Content and Collection MethodThe data were derived from qPCR and Western Blot detection results of the bursa of Fabricius tissues from each group. Three samples were randomly selected from each group for analysis (reduced from the original plan of 8 samples to 3 for simplification).qPCR Data: The expression levels of genes related to inflammation and antioxidant defense (HO-1, ikba, nrf2, p65) were detected.WB Data: The expression levels of corresponding proteins (HO-1, IKBA, NRF2, P65) were measured.Significant FindingsGene Expression:Compared with the CON group, p65 gene expression was significantly elevated in the HS group, indicating that heat stress activated the NF-κB inflammatory pathway.After GP supplementation (in HSLGP, HSMGP, and HSHGP groups), p65 expression was downregulated, while antioxidant genes such as nrf2 were upregulated, with the most pronounced effect observed in the HSHGP group.Protein Expression:The WB results were consistent with the qPCR trends. P65 protein levels were elevated in the HS group and decreased after GP supplementation, while antioxidant proteins such as HO-1 showed increased expression.Data InterpretationInflammation Regulation: GP alleviates heat stress-induced inflammatory responses by inhibiting p65 expression and blocking the NF-κB pathway.Antioxidant Effects: GP activates the Nrf2 pathway, promoting the expression of antioxidant proteins such as HO-1 and enhancing cellular defense against oxidative damage.Dose-Dependent Effects: High-dose GP (HSHGP) demonstrated the best regulatory effects on gene and protein expression, suggesting that GP's anti-inflammatory and antioxidant actions may exhibit dose dependency.

Authors

  • Miao, Jiajun ;
  • Zhang, Xueqi ;
  • Wang, Jiaxing ;
  • Li, Jungang ;
  • Yang, Qi ;
  • Ding, Jinxue ;
  • He, Shaojun
0 Citations0 Mentions69% FAIR0.4 Dataset Index
10.17632/wg6cdhcwmn.12026

Gypenosides ameliorate heat stress-induced inflammatory injury in the bursa of Fabricius of broilers by activating the NF-κB signaling pathway

Data Description and InterpretationExperimental Subjects and DesignThis study selected a total of 200 broilers at 28 days of age, randomly divided into five groups (40 broilers per group), with the specific groupings as follows:CON (Control Group): Basal diet + Normal temperature (24 ± 1 ℃)HS (Heat Stress Group): Basal diet + High temperature (33 ± 1 ℃, 8 hours per day)HSLGP (Low-Dose Gypenoside Group): Basal diet + 200 mg/kg GP + High temperatureHSMGP (Medium-Dose Gypenoside Group): Basal diet + 300 mg/kg GP + High temperatureHSHGP (High-Dose Gypenoside Group): Basal diet + 450 mg/kg GP + High temperatureData Content and Collection MethodThe data were derived from qPCR and Western Blot detection results of the bursa of Fabricius tissues from each group. Three samples were randomly selected from each group for analysis (reduced from the original plan of 8 samples to 3 for simplification).qPCR Data: The expression levels of genes related to inflammation and antioxidant defense (HO-1, ikba, nrf2, p65) were detected.WB Data: The expression levels of corresponding proteins (HO-1, IKBA, NRF2, P65) were measured.Significant FindingsGene Expression:Compared with the CON group, p65 gene expression was significantly elevated in the HS group, indicating that heat stress activated the NF-κB inflammatory pathway.After GP supplementation (in HSLGP, HSMGP, and HSHGP groups), p65 expression was downregulated, while antioxidant genes such as nrf2 were upregulated, with the most pronounced effect observed in the HSHGP group.Protein Expression:The WB results were consistent with the qPCR trends. P65 protein levels were elevated in the HS group and decreased after GP supplementation, while antioxidant proteins such as HO-1 showed increased expression.Data InterpretationInflammation Regulation: GP alleviates heat stress-induced inflammatory responses by inhibiting p65 expression and blocking the NF-κB pathway.Antioxidant Effects: GP activates the Nrf2 pathway, promoting the expression of antioxidant proteins such as HO-1 and enhancing cellular defense against oxidative damage.Dose-Dependent Effects: High-dose GP (HSHGP) demonstrated the best regulatory effects on gene and protein expression, suggesting that GP's anti-inflammatory and antioxidant actions may exhibit dose dependency.

Authors

  • Miao, Jiajun ;
  • Zhang, Xueqi ;
  • Wang, Jiaxing ;
  • Li, Jungang ;
  • Yang, Qi ;
  • Ding, Jinxue ;
  • He, Shaojun
0 Citations0 Mentions69% FAIR0.4 Dataset Index
10.17632/wg6cdhcwmn2026

CCDC 2360963: Experimental Crystal Structure Determination

An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.

Authors

  • Lu, Zixiu ;
  • Zhang, Chen ;
  • Liang, Qile ;
  • Mei, Xuming ;
  • Duan, Chunhui ;
  • Wang, Jiaxing
1 Citation0 Mentions50% FAIR0.7 Dataset Index
10.5517/ccdc.csd.cc2k7s3q2025

CCDC 2360962: Experimental Crystal Structure Determination

An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.

Authors

  • Lu, Zixiu ;
  • Zhang, Chen ;
  • Liang, Qile ;
  • Mei, Xuming ;
  • Duan, Chunhui ;
  • Wang, Jiaxing
1 Citation0 Mentions50% FAIR0.7 Dataset Index
10.5517/ccdc.csd.cc2k7s2p2025

CCDC 2360961: Experimental Crystal Structure Determination

An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.

Authors

  • Lu, Zixiu ;
  • Zhang, Chen ;
  • Liang, Qile ;
  • Mei, Xuming ;
  • Duan, Chunhui ;
  • Wang, Jiaxing
1 Citation0 Mentions15% FAIR0.4 Dataset Index
10.5517/ccdc.csd.cc2k7s1n2025

CCDC 2513137: Experimental Crystal Structure Determination

An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.

Authors

  • Wang, Jiaxing ;
  • Cerda, Benjamin Barrios ;
  • Aristilde, Ludmilla
1 Citation0 Mentions54% FAIR0.7 Dataset Index
10.5517/ccdc.csd.cc2qc3y52025

CCDC 2469075: Experimental Crystal Structure Determination

An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.

Authors

  • Wang, Jiaxing ;
  • Yuan, Yong ;
  • Zhu, Xin
1 Citation0 Mentions54% FAIR0.7 Dataset Index
10.5517/ccdc.csd.cc2nw8lf2025

CCDC 2360964: Experimental Crystal Structure Determination

An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.

Authors

  • Lu, Zixiu ;
  • Zhang, Chen ;
  • Liang, Qile ;
  • Mei, Xuming ;
  • Duan, Chunhui ;
  • Wang, Jiaxing
1 Citation0 Mentions50% FAIR0.7 Dataset Index
10.5517/ccdc.csd.cc2k7s4r2025

CCDC 2323895: Experimental Crystal Structure Determination

An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.

Authors

  • Lu, Zixiu ;
  • Duan, Chunhui ;
  • Wang, Jiaxing
1 Citation0 Mentions50% FAIR0.6 Dataset Index
10.5517/ccdc.csd.cc2j06c42024

PSL_3DSensor

Introduction This is the repository for the paper "Polarization Structured Light 3D Depth Image Sensor for Scenes with Reflective Surfaces". It includes the data and codes that support the findings of this study. # Requirements The whole project is based on MATLAB. The version is R2022a and the needed Toolboxes are Computer Vision Toolbox and Curve Fitting Toolbox. In the visualization, you also need the CloudCompare. # Notes It is better to check the results according to the order of the paper, i.e., - Experiment 1 Seeing through the reflective surface (Fig.4 and Fig. S5-S8) - Supplementary Movie 1 - Experiment 2 Seeing against the reflective noise (Fig. 5 and Fig. S9-S13) - Experiment 3 Reflective surface detection and completion in 8 scenes (Fig. 2, Fig. 6 and Fig. S14) - Experiment 3 Completion error analysis (Fig. 7) - Supplementary 10 Pointcloud fusion of fish tank scene (Fig. S17) - Supplementary 11 Detection and completion in scene with glass and mirror (Fig. S18) - Supplementary 12 Comparison with ToF on detection and completion of reflective surfaces (Fig S19) Inside each experiment, there are also readme files for guidance.

Authors

  • Huang, Xuanlun ;
  • Wu, Chenyang ;
  • Xu, Xiaolan ;
  • Wang, Baishun ;
  • Zhang, Sui ;
  • Shen, Chihchiang ;
  • Yu, Chiennan ;
  • Wang, Jiaxing ;
  • Chi, Nan ;
  • Yu, Shaohua ;
  • Chang-Hasnain, Connie J.
0 Citations0 Mentions85% FAIR0.5 Dataset Index
10.6084/m9.figshare.23722416.v12023