1,296 Works

Utilizing network pharmacological analysis to investigate the key targets and mechanisms of kaempferol against oxaliplatin-induced neurotoxicity

Hongxing Wang, Jing Quan, Youming Deng, Jie Chen, Ke Zhang & Zhan Qu
This study investigated the pharmacological mechanism of kaempferol in the treatment of oxaliplatin-induced neuropathic pain by network pharmacological method and cells experiment. The kaempferol and disease target genes were obtained from several databases, including TCMSP, SwissTargetPrediction, GeneCards, and CTD. Then, the common target genes of drugs and diseases were obtained using Venny online tools. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) functional analyses were carried out to obtain the enriched molecular...

Protective effect and mechanism of low P50 haemoglobin oxygen carrier on isolated rat heart

Wentao Zhou, Shen Li, Shasha Hao, Honghui Zhang, Tao Li, Wanjing Li, Jiaxin Liu, Hong Wang & Chengmin Yang
The protection of the isolated heart is very important in heart transplantation surgery, meanwhile, the ischaemia/reperfusion (I/R) of the isolated heart is the main cause of its damage. A timely supply of oxygen can significantly improve the prevention of myocardial ischaemia, however, the cardioprotective solution does not have an oxygen supply function. Haemoglobin Based on Oxygen Carriers (HBOCs) is a kind of nano-oxygen drug, which can effectively and timely supply oxygen to hypoxic organs and...

The Cauchy Combination Test under Arbitrary Dependence Structures

Mingya Long, Zhengbang Li, Wei Zhang & Qizhai Li
Combining individual p-values to perform an overall test is often encountered in statistical applications. The Cauchy combination test (CCT) (Journal of the American Statistical Association, 2020, 115, 393–402) is a powerful and computationally efficient approach to integrate individual p-values under arbitrary dependence structures for sparse signals. We revisit this test to additionally show that (i) the tail probability of the CCT can be approximated just as well when more relaxed assumptions are imposed on individual...

Platelet–Lymphocyte Ratio, Neutrophil–Lymphocyte Ratio and Their Dynamic Changes with Type 2 Diabetes Mellitus: A Cohort Study in China

Canjia Zhang, Huan Chen, Shangxin Cui, Yeli Lin, Yongqiang Liang, Ping Zhao, Changyi Wang, Shan Xu, Xiaolin Peng, Hongen Chen, Li Wang, Dan Zhao, Ming Zhang, Dongsheng Hu, Yanmei Lou & Fulan Hu
This study aimed at investigating the relationships between Platelet-Lymphocyte ratio (PLR) and Neutrophil–Lymphocyte ratio (NLR) and their dynamic changes (∆PLR, ∆NLR) with type 2 diabetes mellitus (T2DM) in a Chinese cohort study. This study recruited 41,439 individuals who were diagnosed without T2DM at first health examination and completed at least one follow-up. The relationships between NLR, PLR, ∆PLR, ∆NLR and T2DM risk were analyzed using the Cox regression model with corresponding Hazard Ratios (HRs) and...

Additional file 3 of Functional analysis revealed the involvement of ZmABCB15 in resistance to rice black-streaked dwarf virus infection

Runqing Yue, Qi Sun, Jianguo Ding, Wenlan Li, Wencai Li, Meng Zhao, Shouping Lu, Tingru Zeng, Hua Zhang, Suxian Zhao, Shuanggui Tie & Zhaodong Meng
Additional file 3: Table S2. The CDSs of ZmABCB family.

Additional file 4 of Functional analysis revealed the involvement of ZmABCB15 in resistance to rice black-streaked dwarf virus infection

Runqing Yue, Qi Sun, Jianguo Ding, Wenlan Li, Wencai Li, Meng Zhao, Shouping Lu, Tingru Zeng, Hua Zhang, Suxian Zhao, Shuanggui Tie & Zhaodong Meng
Additional file 4: Table S3. The primer sequences for the qRT-PCR.

Additional file 4 of Combining QTL mapping and RNA-Seq Unravels candidate genes for Alfalfa (Medicago sativa L.) leaf development

Xueqian Jiang, Xijiang Yang, Fan Zhang, Tianhui Yang, Changfu Yang, Fei He, Ting Gao, Chuan Wang, Qingchuan Yang, Zhen Wang & Junmei Kang
Additional file 4: Table S2. List of 2,443 leaf-specific genes.

Additional file 5 of Combining QTL mapping and RNA-Seq Unravels candidate genes for Alfalfa (Medicago sativa L.) leaf development

Xueqian Jiang, Xijiang Yang, Fan Zhang, Tianhui Yang, Changfu Yang, Fei He, Ting Gao, Chuan Wang, Qingchuan Yang, Zhen Wang & Junmei Kang
Additional file 5: Table S3. List of 2,061 up-regulated genes (‘sativa’ Vs ‘falcata’).

Additional file 7 of Activation function 1 of progesterone receptor is required for progesterone antagonism of oestrogen action in the uterus

Shi Hao Lee, Chew Leng Lim, Wei Shen, Samuel Ming Xuan Tan, Amanda Rui En Woo, Yeannie H. Y. Yap, Caitlyn Ang Su Sian, Wilson Wen Bin Goh, Wei-Ping Yu, Li Li & Valerie C. L. Lin
Additional file 7. G2M_checkpoint and E2F_Targets are not in the Top 20 gene sets enriched in EBP group vs Ctrl.

Additional file 8 of Activation function 1 of progesterone receptor is required for progesterone antagonism of oestrogen action in the uterus

Shi Hao Lee, Chew Leng Lim, Wei Shen, Samuel Ming Xuan Tan, Amanda Rui En Woo, Yeannie H. Y. Yap, Caitlyn Ang Su Sian, Wilson Wen Bin Goh, Wei-Ping Yu, Li Li & Valerie C. L. Lin
Additional file 8. 31 genes significantly regulated between EBP and EB.

Additional file 9 of Activation function 1 of progesterone receptor is required for progesterone antagonism of oestrogen action in the uterus

Shi Hao Lee, Chew Leng Lim, Wei Shen, Samuel Ming Xuan Tan, Amanda Rui En Woo, Yeannie H. Y. Yap, Caitlyn Ang Su Sian, Wilson Wen Bin Goh, Wei-Ping Yu, Li Li & Valerie C. L. Lin
Additional file 9. 386 EB-regulated genes also regulated by progesterone compared between EB and EBP.

Additional file 8 of Activation function 1 of progesterone receptor is required for progesterone antagonism of oestrogen action in the uterus

Shi Hao Lee, Chew Leng Lim, Wei Shen, Samuel Ming Xuan Tan, Amanda Rui En Woo, Yeannie H. Y. Yap, Caitlyn Ang Su Sian, Wilson Wen Bin Goh, Wei-Ping Yu, Li Li & Valerie C. L. Lin
Additional file 8. 31 genes significantly regulated between EBP and EB.

Additional file 1 of TIMM8A is associated with dysfunction of immune cell in BRCA and UCEC for predicting anti-PD-L1 therapy efficacy

Xiaoyu Zhu, Zile Yuan, Sheng Cheng, Hongyi Wang, Yuxuan Liao, Dawei Zhou & Zhiqiang Wu
Additional file 1. Raw measurements of survival time of UCEC patients and their TIMM8A expression levels. The raw data showed that the prognosis of the high expression group (FPKM value higher than 2.15) was poorer than the low expression group (FPKM value lower than 2.15).

Additional file 22 of Pan-cancer analysis of cuproptosis regulation patterns and identification of mTOR-target responder in clear cell renal cell carcinoma

Shichao Long, Ya Wang, Yuqiao Chen, Tianshu Fang, Yuanbing Yao & Kai Fu
Additional file 22: Table S9. Pathway enrichment of CEScore in pan-cancer.

Additional file 25 of Pan-cancer analysis of cuproptosis regulation patterns and identification of mTOR-target responder in clear cell renal cell carcinoma

Shichao Long, Ya Wang, Yuqiao Chen, Tianshu Fang, Yuanbing Yao & Kai Fu
Additional file 25: Table S12. CRP genes and each coefficient.

Data from \" Chemical Origin of Temperature-Dependent Phase Transition and Conductivity in Hydroxyapatite\"

Dingguo Xu & Jing Wang
This dataset contains data relates to the publication " Chemical Origin of Temperature-Dependent Phase Transition and Conductivity in Hydroxyapatite", by Wang et al., 2022. In this work, we use deep potential molecular dynamics simulation to study Temperature-Dependent Phase Transition and Conductivity in Hydroxyapatite. The deep neural network potential is trained on DFT calculations. This dataset contains the deep potential models and the DFT training data reported in the publication, the input files of vasp, lammps,...

Additional file 1 of Whole-exome sequencing analysis identifies distinct mutational profile and novel prognostic biomarkers in primary gastrointestinal diffuse large B-cell lymphoma

Shan-Shan Li, Xiao-Hui Zhai, Hai-Ling Liu, Ting-Zhi Liu, Tai-Yuan Cao, Dong-Mei Chen, Le-Xin Xiao, Xiao-Qin Gan, Ke Cheng, Wan-Jia Hong, Yan Huang, Yi-Fan Lian & Jian Xiao
Additional file 1: Table S1. Clinicopathological information of 53 pGI-DLBCL patients.

Additional file 1 of Whole-exome sequencing analysis identifies distinct mutational profile and novel prognostic biomarkers in primary gastrointestinal diffuse large B-cell lymphoma

Shan-Shan Li, Xiao-Hui Zhai, Hai-Ling Liu, Ting-Zhi Liu, Tai-Yuan Cao, Dong-Mei Chen, Le-Xin Xiao, Xiao-Qin Gan, Ke Cheng, Wan-Jia Hong, Yan Huang, Yi-Fan Lian & Jian Xiao
Additional file 1: Table S1. Clinicopathological information of 53 pGI-DLBCL patients.

Additional file 5 of Whole-exome sequencing analysis identifies distinct mutational profile and novel prognostic biomarkers in primary gastrointestinal diffuse large B-cell lymphoma

Shan-Shan Li, Xiao-Hui Zhai, Hai-Ling Liu, Ting-Zhi Liu, Tai-Yuan Cao, Dong-Mei Chen, Le-Xin Xiao, Xiao-Qin Gan, Ke Cheng, Wan-Jia Hong, Yan Huang, Yi-Fan Lian & Jian Xiao
Additional file 5: Table S5. Summary of IGLL5 and LRP1B mutations in pGI-DLBCL.

Additional file 10 of Mapping of Candidate Genes in Response to Low Nitrogen in Rice Seedlings

Jia Li, Wei Xin, Weiping Wang, Shijiao Zhao, Lu Xu, Xingdong Jiang, Yuxuan Duan, Hongliang Zheng, Luomiao Yang, Hualong Liu, Yan Jia, Detang Zou & Jingguo Wang
Additional file 10: Table S9. Sequences of primers used in this study.

Additional file 3 of Mapping of Candidate Genes in Response to Low Nitrogen in Rice Seedlings

Jia Li, Wei Xin, Weiping Wang, Shijiao Zhao, Lu Xu, Xingdong Jiang, Yuxuan Duan, Hongliang Zheng, Luomiao Yang, Hualong Liu, Yan Jia, Detang Zou & Jingguo Wang
Additional file 3: Table S2. Phenotype analysis of natural populations.

Additional file 3 of Mapping of Candidate Genes in Response to Low Nitrogen in Rice Seedlings

Jia Li, Wei Xin, Weiping Wang, Shijiao Zhao, Lu Xu, Xingdong Jiang, Yuxuan Duan, Hongliang Zheng, Luomiao Yang, Hualong Liu, Yan Jia, Detang Zou & Jingguo Wang
Additional file 3: Table S2. Phenotype analysis of natural populations.

Additional file 5 of Mapping of Candidate Genes in Response to Low Nitrogen in Rice Seedlings

Jia Li, Wei Xin, Weiping Wang, Shijiao Zhao, Lu Xu, Xingdong Jiang, Yuxuan Duan, Hongliang Zheng, Luomiao Yang, Hualong Liu, Yan Jia, Detang Zou & Jingguo Wang
Additional file 5: Table S4. Annotation and haplotype analysis of associated genes.

Additional file 2 of Cross-watershed distribution pattern challenging the elimination of Oncomelania hupensis, the intermediate host of Schistosoma japonica, in Sichuan province, China

Shen Chen, Ding Lu, Lei Duan, Ben Ma, Chao Lv, Yin-long Li, Shen-ning Lu, Lan-hua Li, Liang Xu, Zi-song Wu, Shang Xia, Jing Xu, Yang Liu & Shan Lv
Additional file 2: Dataset S1. The 130 unique cox1 haplotypes of Oncomelania hupensis from this study including two outgroups

Additional file 1 of Functional analysis revealed the involvement of ZmABCB15 in resistance to rice black-streaked dwarf virus infection

Runqing Yue, Qi Sun, Jianguo Ding, Wenlan Li, Wencai Li, Meng Zhao, Shouping Lu, Tingru Zeng, Hua Zhang, Suxian Zhao, Shuanggui Tie & Zhaodong Meng
Additional file 1: Table S1. The disease rates of the five varieties after inoculating RBSDV.

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