Automated Author ProfileLiu, Qing
Liu, Qing
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 69.4 (sum of 96 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
No description available
Authors
- Liu, Qing
No description available
Authors
- Liu, Qing
Research HypothesisThe study hypothesized that herb-derived compounds from Radix Salviae Decoction (RSD) could modulate cell death of vascular smooth muscle cells (VSMC) through specific mechanisms. Specifically, it was hypothesized that these compounds might influence various forms of cell death, including pyroptosis, autophagy, and apoptosis, thereby affecting the function and survival of VSMC.Data Description and CollectionThe data was collected through a combination of network pharmacological analysis and in vitro experiments. The network pharmacological analysis involved identifying targets for three compounds from RSD (Tanshinone ⅡA (DST), Santalol (TXC), and Bornyl ester (LNZ)) and three types of cell death (pyroptosis, autophagy, and apoptosis) using literature and databases. A protein-protein interaction network was constructed using String, followed by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses to explore pathways affecting vascular smooth muscle cell death.In vitro experiments were conducted on VSMC in serum-free medium (SFM) conditions. The effects of RSD-derived compounds on cell death were assessed using various methods, including measuring mRNA levels of specific genes (GSDMD, GSDME, IL-1β, ATG12), determining the LC3-II/I ratio, and using flow cytometry to assess early apoptotic cells. Additionally, the levels of cytokines (IL-6 and TNF-α) were measured, and the activity of cell signaling pathways (PI3K-AKT and NF-κB) was evaluated.Data InterpretationThe data showed that treatment with RSD-derived compounds significantly promoted pyroptosis of VSMC, as evidenced by increased mRNA levels of GSDMD and GSDME, as well as increased IL-1β mRNA levels. These compounds also inhibited autophagy by reducing ATG12 expression and decreasing the LC3-II/I ratio. Furthermore, they decreased the proportion of early apoptotic cells and notably inhibited the production of IL-6 and TNF-α. In terms of cell signaling, the compounds suppressed the PI3K-AKT pathway while activating the NF-κB signaling pathway.Notable FindingsThe notable findings include the identification of key proteins (CASP8, CASP3, TP53, JUN, and BAX) that play central roles in the protein interaction networks related to cell death modulation by RSD-derived compounds. These proteins are involved in various pathways affecting VSMC death, suggesting potential therapeutic targets for cardiovascular diseases.
Authors
- Liu, Qing
Research HypothesisThe study hypothesized that herb-derived compounds from Radix Salviae Decoction (RSD) could modulate cell death of vascular smooth muscle cells (VSMC) through specific mechanisms. Specifically, it was hypothesized that these compounds might influence various forms of cell death, including pyroptosis, autophagy, and apoptosis, thereby affecting the function and survival of VSMC.Data Description and CollectionThe data was collected through a combination of network pharmacological analysis and in vitro experiments. The network pharmacological analysis involved identifying targets for three compounds from RSD (Tanshinone ⅡA (DST), Santalol (TXC), and Bornyl ester (LNZ)) and three types of cell death (pyroptosis, autophagy, and apoptosis) using literature and databases. A protein-protein interaction network was constructed using String, followed by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses to explore pathways affecting vascular smooth muscle cell death.In vitro experiments were conducted on VSMC in serum-free medium (SFM) conditions. The effects of RSD-derived compounds on cell death were assessed using various methods, including measuring mRNA levels of specific genes (GSDMD, GSDME, IL-1β, ATG12), determining the LC3-II/I ratio, and using flow cytometry to assess early apoptotic cells. Additionally, the levels of cytokines (IL-6 and TNF-α) were measured, and the activity of cell signaling pathways (PI3K-AKT and NF-κB) was evaluated.Data InterpretationThe data showed that treatment with RSD-derived compounds significantly promoted pyroptosis of VSMC, as evidenced by increased mRNA levels of GSDMD and GSDME, as well as increased IL-1β mRNA levels. These compounds also inhibited autophagy by reducing ATG12 expression and decreasing the LC3-II/I ratio. Furthermore, they decreased the proportion of early apoptotic cells and notably inhibited the production of IL-6 and TNF-α. In terms of cell signaling, the compounds suppressed the PI3K-AKT pathway while activating the NF-κB signaling pathway.Notable FindingsThe notable findings include the identification of key proteins (CASP8, CASP3, TP53, JUN, and BAX) that play central roles in the protein interaction networks related to cell death modulation by RSD-derived compounds. These proteins are involved in various pathways affecting VSMC death, suggesting potential therapeutic targets for cardiovascular diseases.
Authors
- Liu, Qing
This dataset contains the digitized treatments in Plazi based on the original journal article Deng, Yu, Liu, Qing, Wang, Xuming, Li, Binbin V., Wang, Jing, Liu, Shuang, Liao, Rui, Liu, Shaoying, Chen, Shunde (2025): Molecular phylogeny and taxonomy of the Sicista concolor group (Mammalia, Rodentia, Sicistidae) with the description of a new species. Zoosystematics and Evolution 101 (3): 1197-1211, DOI: 10.3897/zse.101.155510
Authors
- Deng, Yu ;
- Liu, Qing ;
- Xuming Wang ;
- Binbin V. Li ;
- Wang, Jing ;
- Liu, Shuang ;
- Liao, Rui ;
- Shaoying Liu ;
- Shunde Chen
This dataset contains the digitized treatments in Plazi based on the original journal article Liu, Qing, Tan, Zhixiang, Xing, Jichun (2025): Two scale insect species (Hemiptera: Coccomorpha) associated with Chinese sweetgum in China, with description of a new species of Paraputo Laing, 1929 (Pseudococcidae). Zootaxa 5590 (1): 133-140, DOI: 10.11646/zootaxa.5590.1.8, URL: https://doi.org/10.11646/zootaxa.5590.1.8
Authors
- Liu, Qing ;
- Zhixiang Tan ;
- Jichun Xing
Not applicable
Authors
- Liu, Qing
This is for the quantitative research investigating consumer purchase intention for Dunhuang Cultural Product.
Authors
- Liu, Qing
This dataset contains the digitized treatments in Plazi based on the original journal article Liu, Qing, Su, Jie, Shi, Fuming (2024): Contribution to the genus Nicephora Bolívar, 1900 (Orthoptera: Tettigoniidae: Meconematinae) with one new species from Yunnan, China. Zootaxa 5512 (3): 445-450, DOI: 10.11646/zootaxa.5512.3.8, URL: http://dx.doi.org/10.11646/zootaxa.5512.3.8
Authors
- Liu, Qing ;
- Su, Jie ;
- Fuming Shi