770 Works
Additional file 8 of Combination of oral STING agonist MSA-2 and anti-TGF-β/PD-L1 bispecific antibody YM101: a novel immune cocktail therapy for non-inflamed tumors
Ming Yi, Mengke Niu, Yuze Wu, Hong Ge, Dechao Jiao, Shuangli Zhu, Jing Zhang, Yongxiang Yan, Pengfei Zhou, Qian Chu & Kongming Wu
Additional file 8. Figure S8: MSA-2 combined with YM101 therapy promoted immunity-associated gene expression in B16 model. The heatmaps showing the change folds of genes constituting immune signatures.
Additional file 9 of Combination of oral STING agonist MSA-2 and anti-TGF-β/PD-L1 bispecific antibody YM101: a novel immune cocktail therapy for non-inflamed tumors
Ming Yi, Mengke Niu, Yuze Wu, Hong Ge, Dechao Jiao, Shuangli Zhu, Jing Zhang, Yongxiang Yan, Pengfei Zhou, Qian Chu & Kongming Wu
Additional file 9. Figure S9: The effect of the combination therapy on proliferation and apoptosis markers in B16 and EMT-6 model. (a) Tunel staining in B16 model. (b) Ki67 staining in B16 model. (c) Tunel staining in EMT-6 model. (d) Ki67 staining in EMT-6 model. (e) PCNA staining in EMT-6 model.
Additional file 4 of Loss of endothelial EMCN drives tumor lung metastasis through the premetastatic niche
Guoxin Zhang, Mengyuan Li, Dandan Zhou, Xingjiu Yang, Wenlong Zhang & Ran Gao
Additional file 4: Figure S4. The combination of anti-TGF-β antibody with DAPT synergistically suppresses tumor growth and metastasis. (A) and (B) Grayscale values of NICD and EMCN were quantified by ImageJ. (C) Representative Ki67 staining images of tumor sections from each group are shown from WT mice by IHC. (D) Representative photographs were obtained from the lungs of LLC-injected WT mice treated with vehicle, DAPT alone, anti-TGF-β antibody alone, or a combination of anti-TGF-β antibody...
Additional file 2 of The role of proteoglycan form of DMP1 in cranial repair
Yang Liu, Pingping Niu, Mengqi Zhou & Hui Xue
Additional file 2.
Additional file 3 of The role of proteoglycan form of DMP1 in cranial repair
Yang Liu, Pingping Niu, Mengqi Zhou & Hui Xue
Additional file 3.
Additional file 2 of Integrated assessment of the clinical and biological value of ferroptosis-related genes in multiple myeloma
Bibo Fu, Ruonan Shao, Huizhong Wang, Guanjun Chen, Shenrui Bai & Hua Wang
Additional file 2: Figure S1. Differential expression of the 11 genes between normal and MM tissues in the (A) GSE6477 and the (B) GSE118985 datasets.
Additional file 4 of Integrated assessment of the clinical and biological value of ferroptosis-related genes in multiple myeloma
Bibo Fu, Ruonan Shao, Huizhong Wang, Guanjun Chen, Shenrui Bai & Hua Wang
Additional file 4: Figure S3. The relationship between clinical characteristics and risk scores in the training cohort.
Additional file 4 of Integrated assessment of the clinical and biological value of ferroptosis-related genes in multiple myeloma
Bibo Fu, Ruonan Shao, Huizhong Wang, Guanjun Chen, Shenrui Bai & Hua Wang
Additional file 4: Figure S3. The relationship between clinical characteristics and risk scores in the training cohort.
Additional file 5 of Integrated assessment of the clinical and biological value of ferroptosis-related genes in multiple myeloma
Bibo Fu, Ruonan Shao, Huizhong Wang, Guanjun Chen, Shenrui Bai & Hua Wang
Additional file 5: Figure S4. Changes in RAS signaling pathway (A and B) and intracellular ATP level (C and D) after drug(s) treatment by invitro experiments.
Additional file 4 of Proteomic profiling of circulating plasma exosomes reveals novel biomarkers of Alzheimer’s disease
Huimin Cai, Yana Pang, Qi Wang, Wei Qin, Cuibai Wei, Ying Li, Tingting Li, Fangyu Li, Qigeng Wang, Yan Li, Yiping Wei & Longfei Jia
Additional file 4: Figures S3. KEGG pathway enrichment analysis of the 12 differentially expressed proteins.
Additional file 3 of Proteomic profiling of circulating plasma exosomes reveals novel biomarkers of Alzheimer’s disease
Huimin Cai, Yana Pang, Qi Wang, Wei Qin, Cuibai Wei, Ying Li, Tingting Li, Fangyu Li, Qigeng Wang, Yan Li, Yiping Wei & Longfei Jia
Additional file 3: Figures S2. GO enrichment analysis of the 12 differentially expressed proteins.
Additional file 2 of NLRP3 inflammasome regulates astrocyte transformation in brain injury induced by chronic intermittent hypoxia
Ningning She, Yewen Shi, Yani Feng, Lina Ma, Yuqi Yuan, Yitong Zhang, Zine Cao, Xi Chen, Bingjie Zhao, Haiqin Liu & Xiaoyong Ren
Additional file 2: Figure S2. Raw western blots of GFAP (a), C3d (b), S100a10(c) and β-actin (d) in Figure 4b 12% Gel, 0.45 µm PVDF membrane.
Additional file 5 of NLRP3 inflammasome regulates astrocyte transformation in brain injury induced by chronic intermittent hypoxia
Ningning She, Yewen Shi, Yani Feng, Lina Ma, Yuqi Yuan, Yitong Zhang, Zine Cao, Xi Chen, Bingjie Zhao, Haiqin Liu & Xiaoyong Ren
Additional file 5: Figure S5. Raw western blots of GFAP(a), C3d (b), S100a10(c) and β-actin (d) in Figure 7c 12%Gel, 0.45 µm PVDF membrane.
Additional file 5 of Inhibition of platelet activation suppresses reactive enteric glia and mitigates intestinal barrier dysfunction during sepsis
Bo Cheng, Mengyu Du, Shuxuan He, Lan Yang, Xi Wang, Hui Gao, Haiqing Chang, Wei Gao, Yan Li, Qiang Wang & Yansong Li
Additional file 5: Fig. S5. Effect of cilostazol treatment on cardiac function after CLP. a Representative M-mode images of the four different groups. b-e Quantitative analysis of LVEF (b), LVFS (c), LVEDD (d), and LVESD (e) in each group (n = 6). These data indicate no significant difference.
Additional file 6 of Inhibition of platelet activation suppresses reactive enteric glia and mitigates intestinal barrier dysfunction during sepsis
Bo Cheng, Mengyu Du, Shuxuan He, Lan Yang, Xi Wang, Hui Gao, Haiqing Chang, Wei Gao, Yan Li, Qiang Wang & Yansong Li
Additional file 6: Fig. S6. Single-cell sequencing analysis of adult mice intestine. a Dotplot for highest specificity gene markers of cell clusters. Dot size represents the percentage of cells expressing the denoted gene, and the color represents average normalized expression level within the denoted cluster. b The expression of GFAP in different cell clusters by analysis of the Uniform Manifold Approximation and Projection (UMAP). c Different cell subpopulation of the GSE156905 dataset derived from the...
Additional file 1 of Identification of tumor-associated antigens and immune subtypes of lower-grade glioma and glioblastoma for mRNA vaccine development
Zhi-liang Wang, Ruo-yu Huang, Bo Han, Fan Wu, Zhi-yan Sun, Guan-zhang Li, Wei Zhang, Zheng Zhao & Xing Liu
Additional file 1: Supplementary Figure 1.
Additional file 2 of Identification of tumor-associated antigens and immune subtypes of lower-grade glioma and glioblastoma for mRNA vaccine development
Zhi-liang Wang, Ruo-yu Huang, Bo Han, Fan Wu, Zhi-yan Sun, Guan-zhang Li, Wei Zhang, Zheng Zhao & Xing Liu
Additional file 2: Supplementary Figure 2.
Additional file 3 of Identification of tumor-associated antigens and immune subtypes of lower-grade glioma and glioblastoma for mRNA vaccine development
Zhi-liang Wang, Ruo-yu Huang, Bo Han, Fan Wu, Zhi-yan Sun, Guan-zhang Li, Wei Zhang, Zheng Zhao & Xing Liu
Additional file 3: Supplementary Figure 3.
Additional file 1 of Matrix Gla protein (MGP), GATA3, and TRPS1: a novel diagnostic panel to determine breast origin
Tian Du, Lu Pan, Chengyou Zheng, Keming Chen, Yuanzhong Yang, Jiewei Chen, Xue Chao, Mei Li, Jiabin Lu, Rongzhen Luo, Jinhui Zhang, Yu Wu, Jiehua He, Dongping Jiang & Peng Sun
Additional file 1: Fig. S1. The mRNA levels of candidate genes in different molecular subtypes of breast cancer. ER/PR+ (ER/PR+ and HER−, n = 685), HER2+ (n = 168), and TNBC (n = 177). TCGA BRCA ER, PR, and HER2 status were retrieved from Thennavan et al. [21].
Additional file 6 of Study on the prognosis, immune and drug resistance of m6A-related genes in lung cancer
Yang Yang, Zhouyao Qian, Mingyang Feng, Weiting Liao, Qiuji Wu, Feng Wen & Qiu Li
Additional file 6. Infiltration of gene expression, overall survival, mutation profile and the comparison of tumor infiltration levels in m6A-related genes with different somatic copy number alterations for LUAD and LUSC in TIMER2.0.
Additional file 7 of Study on the prognosis, immune and drug resistance of m6A-related genes in lung cancer
Yang Yang, Zhouyao Qian, Mingyang Feng, Weiting Liao, Qiuji Wu, Feng Wen & Qiu Li
Additional file 7. Infiltration of gene expression, overall survival, mutation profile and the comparison of tumor infiltration levels in m6A-related genes with different somatic copy number alterations for LUAD and LUSC in TIMER2.0.
Additional file 8 of Study on the prognosis, immune and drug resistance of m6A-related genes in lung cancer
Yang Yang, Zhouyao Qian, Mingyang Feng, Weiting Liao, Qiuji Wu, Feng Wen & Qiu Li
Additional file 8. The heatmap of correlation between the immune characteristics and the four hub DEMGs in LUAD and LUSC from TISID.
Additional file 10 of Study on the prognosis, immune and drug resistance of m6A-related genes in lung cancer
Yang Yang, Zhouyao Qian, Mingyang Feng, Weiting Liao, Qiuji Wu, Feng Wen & Qiu Li
Additional file 10. Overall survival analysis of HPA and validation of gene expressions of 4 hub DEMGs from GSCALite.
Additional file 1 of Study on the prognosis, immune and drug resistance of m6A-related genes in lung cancer
Yang Yang, Zhouyao Qian, Mingyang Feng, Weiting Liao, Qiuji Wu, Feng Wen & Qiu Li
Additional file 1. The workflow and study design of the analysis steps.
Additional file 2 of Study on the prognosis, immune and drug resistance of m6A-related genes in lung cancer
Yang Yang, Zhouyao Qian, Mingyang Feng, Weiting Liao, Qiuji Wu, Feng Wen & Qiu Li
Additional file 2. Summary of the LC mutation information and the 10 DEMGs mutation information as well as CNV analysis of m6A-related genes in LC (GSCALite).
Affiliations
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Sun Yat-sen University770
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Chinese Academy of Medical Sciences & Peking Union Medical College520
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Fudan University484
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Zhejiang University468
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Sichuan University463
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Shanghai Jiao Tong University449
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Huazhong University of Science and Technology427
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Capital Medical University397
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Chinese Academy of Sciences370
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Nanjing Medical University359