5,308 Works

Additional file 1 of Facile approach for surfactant-free synthesis of Au@ginsenoside Rh2 nanoparticles and researches on anticancer activity

Hua Yao, Xupeng Mu, Zhenhong Wei, Xiuying Li, Liya Wu, Yongri Jin, Xuwen Li, Jing Li & Jinlan Jiang
Additional file 1: Characterization of Au@ginsenoside Rh2 NPs and results of cell uptake and cell proliferation.

m6A-immune-related lncRNA prognostic signature for predicting immune landscape and prognosis of bladder cancer

Zi-Hao Feng, Yan-Ping Liang, Jun-Jie Cen, Hao-Hua Yao, Hai-Shan Lin, Jia-Ying Li, Hui Liang, Zhu Wang, Qiong Deng, Jia-Zheng Cao, Yong Huang, Jin-Huan Wei, Jun-Hang Luo, Wei Chen & Zhen-Hua Chen
Abstract Background N6-methyladenosine (m6A) related long noncoding RNAs (lncRNAs) may have prognostic value in bladder cancer for their key role in tumorigenesis and innate immunity. Methods Bladder cancer transcriptome data and the corresponding clinical data were acquired from the Cancer Genome Atlas (TCGA) database. The m6A-immune-related lncRNAs were identified using univariate Cox regression analysis and Pearson correlation analysis. A risk model was established using least absolute shrinkage and selection operator (LASSO) Cox regression analyses, and...

Additional file 1 of m6A-immune-related lncRNA prognostic signature for predicting immune landscape and prognosis of bladder cancer

Zi-Hao Feng, Yan-Ping Liang, Jun-Jie Cen, Hao-Hua Yao, Hai-Shan Lin, Jia-Ying Li, Hui Liang, Zhu Wang, Qiong Deng, Jia-Zheng Cao, Yong Huang, Jin-Huan Wei, Jun-Hang Luo, Wei Chen & Zhen-Hua Chen
Additional file 1: Figure S1. OS, PFS, and DSS Kaplan–Meier plots of 11 lncRNAs cutting off by their median expression, respectively. Figure S2. Chord diagram showing the genomic location and correlation of 11 lncRNAs and 21 m6A regulators. Red links indicate positively correlated, while bule link indicate negatively correlated. Figure S3. ROC analysis of the risk model. Left-top panel shows the accuracy of risk score model predicting OS, PFS and DSS. The other three panels...

Additional file 5 of MED12 mutation as a potential predictive biomarker for immune checkpoint inhibitors in pan-cancer

Yong Zhou, Yuan Tan, Qin Zhang, Qianqian Duan & Jun Chen
Additional file 5: Table S1. Detailed clinical information of the five WES cohorts and the MSKCC cohort.

MED12 mutation as a potential predictive biomarker for immune checkpoint inhibitors in pan-cancer

Yong Zhou, Yuan Tan, Qin Zhang, Qianqian Duan & Jun Chen
Abstract Immune checkpoint inhibitors (ICIs) therapy elicits admirable anti-tumor responses across many types of cancer. Growing evidence point to a link to Mediator complex subunit 12 (MED12) and DNA damage repair (DDR) and TGF-β signing, while the clinical data on the association of MED12 and ICIs response are lacking. In this study, clinical and whole-exome sequencing (WES) data from published studies were merged as a WES cohort to explore the association between MED12 mutation (MED12-Mut)...

Additional file 4 of MED12 mutation as a potential predictive biomarker for immune checkpoint inhibitors in pan-cancer

Yong Zhou, Yuan Tan, Qin Zhang, Qianqian Duan & Jun Chen
Additional file 4: Materials and methods

sj-docx-1-jcc-10.1177_00220221221132810 – Supplemental material for Unsociability and Psychological and School Adjustment in Chinese Children: The Moderating Effects of Peer Group Cultural Orientations

Siman Zhao, Mengting Liu, Xinyin Chen, Dan Li, Junsheng Liu & Shihong Liu
Supplemental material, sj-docx-1-jcc-10.1177_00220221221132810 for Unsociability and Psychological and School Adjustment in Chinese Children: The Moderating Effects of Peer Group Cultural Orientations by Siman Zhao, Mengting Liu, Xinyin Chen, Dan Li, Junsheng Liu and Shihong Liu in Journal of Cross-Cultural Psychology

Unsociability and Psychological and School Adjustment in Chinese Children: The Moderating Effects of Peer Group Cultural Orientations

Siman Zhao, Mengting Liu, Xinyin Chen, Dan Li, Junsheng Liu & Shihong Liu
This study examined the moderating effects of cultural orientations of peer groups on the relations between unsociability and psychological and school adjustment in Chinese children. Participants included 1,092 students (527 boys, M age = 12.21 years) in the sixth grade in elementary schools. Data on individualistic and collectivistic cultural orientations, unsociability, and adjustment were obtained from multiple sources including peer nominations, teacher ratings, self-reports, and school records. Using the Social Cognitive Map method, 193 peer...

Unsociability and Psychological and School Adjustment in Chinese Children: The Moderating Effects of Peer Group Cultural Orientations

Siman Zhao, Mengting Liu, Xinyin Chen, Dan Li, Junsheng Liu & Shihong Liu
This study examined the moderating effects of cultural orientations of peer groups on the relations between unsociability and psychological and school adjustment in Chinese children. Participants included 1,092 students (527 boys, M age = 12.21 years) in the sixth grade in elementary schools. Data on individualistic and collectivistic cultural orientations, unsociability, and adjustment were obtained from multiple sources including peer nominations, teacher ratings, self-reports, and school records. Using the Social Cognitive Map method, 193 peer...

Identification of potential differentially methylated gene-related biomarkers in endometriosis

Guangmei Zhang, Xinyan Jiang, Jing Wang, Tian Liang, Yanan He & Jixin Li
Supplementary figure 1-3 Supplementary table 1-3

Additional file 6 of Scoring model based on the signature of non-m6A-related neoantigen-coding lncRNAs assists in immune microenvironment analysis and TCR-neoantigen pair selection in gliomas

Wenbo Zhao, Yibo Wu, Feihu Zhao, Zhiyi Xue, Wenyu Liu, Zenxin Cao, Zhimin Zhao, Bin Huang, Mingzhi Han & Xingang Li
Additional file 6: Fig. S6. The details in different cell clusters in scSeq datasets. A, B The expression of marker genes for annotation in different clusters in GSE84465 (A) and CGGA (B) dataset. C, D The expression of highly characteristic marker genes in different clusters in GSE84465 (C) and CGGA (D) dataset. E, F The pseudotime analyses of GSE84465 (E) and CGGA (F) datasets. Higher pseudotime index suggested a more downstream location of cells. G,...

Additional file 7 of Scoring model based on the signature of non-m6A-related neoantigen-coding lncRNAs assists in immune microenvironment analysis and TCR-neoantigen pair selection in gliomas

Wenbo Zhao, Yibo Wu, Feihu Zhao, Zhiyi Xue, Wenyu Liu, Zenxin Cao, Zhimin Zhao, Bin Huang, Mingzhi Han & Xingang Li
Additional file 7: Fig. S7. The details of immune landscape in CGGA325 and CGGA693 datasets. A, B Correlations between Stromal score, ESTIMATE score, Immune score, tumor purity and NAS in CGGA325 (A) and CGGA693 (B). C, D Infiltration ratio of all immunocytes in low and high NAS groups of CGGA325 analyzed by CIBERSORT (C). Infiltration ratio of Treg, CD8+ T cells, T helper and activated NK cells were manifested (D). E, F Infiltration ratio of...

Additional file 6 of Scoring model based on the signature of non-m6A-related neoantigen-coding lncRNAs assists in immune microenvironment analysis and TCR-neoantigen pair selection in gliomas

Wenbo Zhao, Yibo Wu, Feihu Zhao, Zhiyi Xue, Wenyu Liu, Zenxin Cao, Zhimin Zhao, Bin Huang, Mingzhi Han & Xingang Li
Additional file 6: Fig. S6. The details in different cell clusters in scSeq datasets. A, B The expression of marker genes for annotation in different clusters in GSE84465 (A) and CGGA (B) dataset. C, D The expression of highly characteristic marker genes in different clusters in GSE84465 (C) and CGGA (D) dataset. E, F The pseudotime analyses of GSE84465 (E) and CGGA (F) datasets. Higher pseudotime index suggested a more downstream location of cells. G,...

Additional file 5 of Scoring model based on the signature of non-m6A-related neoantigen-coding lncRNAs assists in immune microenvironment analysis and TCR-neoantigen pair selection in gliomas

Wenbo Zhao, Yibo Wu, Feihu Zhao, Zhiyi Xue, Wenyu Liu, Zenxin Cao, Zhimin Zhao, Bin Huang, Mingzhi Han & Xingang Li
Additional file 5: Fig. S5. Construction of cluster model based on m6A-related lncRNAs. A Left, consensus matrices of the TCGA samples, showing consensus matrices with k =2-5. Right, the cluster-consensus value for k = 2-9. The subcolumns indicate cluster-consensus values of different clusters under different k value. B PCA plot showing the distribution of cluter1 and cluster2 samples. C The p value of survival analysis and hazard ratio of 13 prognosis-related neoantigen coding lncRNAs. D...

Scoring model based on the signature of non-m6A-related neoantigen-coding lncRNAs assists in immune microenvironment analysis and TCR-neoantigen pair selection in gliomas

Wenbo Zhao, Yibo Wu, Feihu Zhao, Zhiyi Xue, Wenyu Liu, Zenxin Cao, Zhimin Zhao, Bin Huang, Mingzhi Han & Xingang Li
Abstract Background Small peptides encoded by long non-coding RNAs (lncRNAs) have attracted attention for their various functions. Recent studies indicate that these small peptides participate in immune responses and antigen presentation. However, the significance of RNA modifications remains unclear. Methods Thirteen non-m6A-related neoantigen-coding lncRNAs were selected for analysis from the TransLnc database. Next, a neoantigen activation score (NAS) model was established based on the characteristics of the lncRNAs. Machine learning was employed to expand the...

Additional file 13 of Scoring model based on the signature of non-m6A-related neoantigen-coding lncRNAs assists in immune microenvironment analysis and TCR-neoantigen pair selection in gliomas

Wenbo Zhao, Yibo Wu, Feihu Zhao, Zhiyi Xue, Wenyu Liu, Zenxin Cao, Zhimin Zhao, Bin Huang, Mingzhi Han & Xingang Li
Additional file 13: Table S2. DEGs identified for m6A-related NAS model construction.

Additional file 12 of Scoring model based on the signature of non-m6A-related neoantigen-coding lncRNAs assists in immune microenvironment analysis and TCR-neoantigen pair selection in gliomas

Wenbo Zhao, Yibo Wu, Feihu Zhao, Zhiyi Xue, Wenyu Liu, Zenxin Cao, Zhimin Zhao, Bin Huang, Mingzhi Han & Xingang Li
Additional file 12: Table S1. DEGs identified for non-m6A-related NAS model construction.

Additional file 2 of Scoring model based on the signature of non-m6A-related neoantigen-coding lncRNAs assists in immune microenvironment analysis and TCR-neoantigen pair selection in gliomas

Wenbo Zhao, Yibo Wu, Feihu Zhao, Zhiyi Xue, Wenyu Liu, Zenxin Cao, Zhimin Zhao, Bin Huang, Mingzhi Han & Xingang Li
Additional file 2: Fig. S2. Construction procedures of cluster model with non-m6A-related lncRNAs. A Left, consensus matrices of the TCGA samples, showing consensus matrices with k =2-5. Right, the cluster-consensus value for k = 2-9. The subcolumns indicate cluster-consensus values of different clusters under different k value. B PCA plot showing the distribution of cluter1 and cluster2 samples. C, D Expression of non-m6A regulators in CGGA325 (C) and CGA693 (D) datasets illustrated by heatmaps based...

Preparation of a novel monoclonal antibody against active components of PHA-L from Phaseolus vulgaris and its functional characteristics

Peipei Wang, Junmei Hu, Jiaqi Duan, Shitong Min, Congliang Chen, Yue Zhu, Yan Pan, Yitian Wang, Dapeng Wei & Xia Wang
Abstract Background Leukocyte phytohemagglutinin (PHA-L), derived from the L4 tetramer of PHA, has been frequently employed as a mitogen to induce T lymphocyte proliferation in vitro. The biological application of PHA-L in cancer diagnosis and treatment has gained traction in recent years. However, it has been noted that PHA-L obtained using traditional procedures has a massive amount of impurities or toxic components, which interfere with the activity of PHA-L. Preparation of a monoclonal antibody against...

Preparation of a novel monoclonal antibody against active components of PHA-L from Phaseolus vulgaris and its functional characteristics

Peipei Wang, Junmei Hu, Jiaqi Duan, Shitong Min, Congliang Chen, Yue Zhu, Yan Pan, Yitian Wang, Dapeng Wei & Xia Wang
Abstract Background Leukocyte phytohemagglutinin (PHA-L), derived from the L4 tetramer of PHA, has been frequently employed as a mitogen to induce T lymphocyte proliferation in vitro. The biological application of PHA-L in cancer diagnosis and treatment has gained traction in recent years. However, it has been noted that PHA-L obtained using traditional procedures has a massive amount of impurities or toxic components, which interfere with the activity of PHA-L. Preparation of a monoclonal antibody against...

Additional file 5 of One day versus two days of hepatic arterial infusion with oxaliplatin and fluorouracil for patients with unresectable hepatocellular carcinoma

Zhicheng Lai, Yexing Huang, Dongsheng Wen, Xuanjia Lin, Anna Kan, Qijiong Li, Wei Wei, Minshan Chen, Li Xu, Minke He & Ming Shi
Additional file 5: Figure S3. Forest plot of factors associated with OS (A) and PFS (B) in PSM cohort treated with HAIC 1d versus HAIC 2d. PSM, propensity score matching.

Ambient air pollution associated with incidence and dynamic progression of type 2 diabetes: a trajectory analysis of a population-based cohort

Yinglin Wu, Shiyu Zhang, Samantha E. Qian, Miao Cai, Haitao Li, Chongjian Wang, Hongtao Zou, Lan Chen, Michael G. Vaughn, Stephen Edward McMillin & Hualiang Lin
Abstract Background Though the association between air pollution and incident type 2 diabetes (T2D) has been well documented, evidence on the association with development of subsequent diabetes complications and post-diabetes mortality is scarce. We investigate whether air pollution is associated with different progressions and outcomes of T2D. Methods Based on the UK Biobank, 398,993 participants free of diabetes and diabetes-related events at recruitment were included in this analysis. Exposures to particulate matter with a diameter...

Additional file 1 of Ambient air pollution associated with incidence and dynamic progression of type 2 diabetes: a trajectory analysis of a population-based cohort

Yinglin Wu, Shiyu Zhang, Samantha E. Qian, Miao Cai, Haitao Li, Chongjian Wang, Hongtao Zou, Lan Chen, Michael G. Vaughn, Stephen Edward McMillin & Hualiang Lin
Additional file 1: Details of outcomes. Table S1. The UDI, definition and measurements of covariates. Table S2. Characteristics of the participants included or excluded in the study. Table S3. Distributions of the annual average exposures among 398,993 participants. Table S4. Associations between air pollution and risk of cause-specific mortality. Table S5. Results of 2-pollutant models. Table S6. Results of sensitivity analyses in the model including traffic noise (n = 393,515). Table S7. Results of sensitivity...

Additional file 3 of SIRPα antibody combined with oncolytic virus OH2 protects against tumours by activating innate immunity and reprogramming the tumour immune microenvironment

Defeng Kong, Zhenrong Yang, Guoliang Li, Quanyou Wu, Zhaoru Gu, Duo Wan, Qi Zhang, Xiaoli Zhang, Shujun Cheng, Binlei Liu, Kaitai Zhang & Wen Zhang
Additional file 3: Figure S1. Cell proliferation assay results. Cell proliferation assay results of Raw264.7 cell lines treated with OH2 MOI=1 (red), OH2 MOI=0.5 (blue) and untreated (black) group by CCK8 assay in 72 hours. Figure S2. OH2 lysates induce RAW264.7 polarization and phagocytosis in vitro. A. Demonstration of the analysis of the phagocytosis by flow cytometry. B. Cell proliferation assay results of CT26, MC38 and 4T-1 cell lines treated with lysate (red), CFS (blue),...

SIRPα antibody combined with oncolytic virus OH2 protects against tumours by activating innate immunity and reprogramming the tumour immune microenvironment

Defeng Kong, Zhenrong Yang, Guoliang Li, Quanyou Wu, Zhaoru Gu, Duo Wan, Qi Zhang, Xiaoli Zhang, Shujun Cheng, Binlei Liu, Kaitai Zhang & Wen Zhang
Abstract Background The combination of oncolytic viruses (OVs) with immune checkpoint blockades is a research hotspot and has shown good efficacy. Here, we present the first attempt to combine oncolytic herpes simplex virus 2 (OH2) with an anti-SIRPα antibody as an antitumour treatment. Our results provide unique insight into the combination of innate immunity with OV. Methods We verified the polarization and activation of OH2 in RAW264.7 cells in vitro. Subsequently, we evaluated the antitumour...

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