2,197 Works

Additional file 1 of Activation of primary hepatic stellate cells and liver fibrosis induced by targeting TGF-β1/Smad signaling in schistosomiasis in mice

Ping Huang, Huihui Ma, Yun Cao, Tingzheng Zhan, Tingting Zhang, Xinyi Wang, Yanan Zhang, Jing Xu & Chaoming Xia
Additional file 1: Figure S1. The isolation, identification, and culture of primary HSCs in S. japonicum-infected mice. (a–c) Cell autofluorescence was observed under an inverted fluorescence microscope at a light wavelength of 328 nm. (d–f) The expression of GFAP in primary HSCs in S. japonicum-infected mice was examined by immunocytochemical staining. (g–i) The growth status of primary HSCs in culture for 0, 5, and 7 days.

Additional file 2 of QTL mapping and candidate gene analysis for yield and grain weight/size in Tartary buckwheat

Ruiyuan Li, Zhengfeng Chen, Ran Zheng, Qingfu Chen, Jiao Deng, Hongyou Li, Juan Huang, Chenggang Liang & Taoxiong Shi
Additional file 2: Figure S1. Violin plot of five grain-related traits in the ‘Xiaomiqiao × Jinqiaomai 2’ RILs population in four environments. GY, grain yield; TGW,1000-grain weight; GL, grain length; GW, grain width; L/W, grain length-width ratio. The shape of each violin indicates the probability density of the trait.

Additional file 3 of Echocardiographic reference ranges for noninvasive left ventricular 18-segment myocardial work index and work efficiency in a healthy Asian population

Jian Wu, Xinyi Huang, Kunhui Huang, Yiruo Tang, Qiumei Gao, Xu Chen, Bo Jing, Xinyu Wang, Biqin Lin & Maolong Su
Additional file 3: Supplement Figure 3. Individual values of left ventricular 18-segment myocardial work efficiency according to sex and age categories. Horizontal lines represent median values. *P value < 0.05 between sexes. #P value < 0.05 between age subgroups.

Additional file 7 of Echocardiographic reference ranges for noninvasive left ventricular 18-segment myocardial work index and work efficiency in a healthy Asian population

Jian Wu, Xinyi Huang, Kunhui Huang, Yiruo Tang, Qiumei Gao, Xu Chen, Bo Jing, Xinyu Wang, Biqin Lin & Maolong Su
Additional file 7: Supplement Figure 7. The Bland–Altman analysis for assessing inter-observer variability of myocardial work index of eighteen segments.

Additional file 8 of Echocardiographic reference ranges for noninvasive left ventricular 18-segment myocardial work index and work efficiency in a healthy Asian population

Jian Wu, Xinyi Huang, Kunhui Huang, Yiruo Tang, Qiumei Gao, Xu Chen, Bo Jing, Xinyu Wang, Biqin Lin & Maolong Su
Additional file 8: Supplement Figure 8. The Bland–Altman analysis for assessing inter-observer variability of myocardial work efficiency of eighteen segments.

Additional file 17 of Intense endoplasmic reticulum stress (ERS) / IRE1α enhanced Oxaliplatin efficacy by decreased ABCC10 in colorectal cancer cells

Xiaohui Liu, Bo Wu, Hong Chen, Haimei Sun, Xiaoxia Guo, Tingyi Sun, Deshan Zhou & Shu Yang
Additional file 17: Fig. S15. Original data: Uncropped western blot images of Fig. 6a.

Additional file 18 of Intense endoplasmic reticulum stress (ERS) / IRE1α enhanced Oxaliplatin efficacy by decreased ABCC10 in colorectal cancer cells

Xiaohui Liu, Bo Wu, Hong Chen, Haimei Sun, Xiaoxia Guo, Tingyi Sun, Deshan Zhou & Shu Yang
Additional file 18: Fig. S16. Original data: Uncropped western blot images of Fig. 6b. The framed regions of the blots in Fig. S9~S16 are used in the manuscript. Since the blots were cut prior to hybridisation with antibodies, the provided uncropped images are not of full length.

Additional file 13 of Intense endoplasmic reticulum stress (ERS) / IRE1α enhanced Oxaliplatin efficacy by decreased ABCC10 in colorectal cancer cells

Xiaohui Liu, Bo Wu, Hong Chen, Haimei Sun, Xiaoxia Guo, Tingyi Sun, Deshan Zhou & Shu Yang
Additional file 13: Fig. S11. Original data: Uncropped western blot images of Fig. 3b.

Additional file 1 of Mutations in the MET tyrosine kinase domain and resistance to tyrosine kinase inhibitors in non-small-cell lung cancer

Yu Yao, Huaping Yang, Bo Zhu, Song Wang, Jiaohui Pang, Xiaoying Wu, Yang Xu, Junli Zhang, Jinfeng Zhang, Qiuxiang Ou, Hui Tian & Zheng Zhao
Additional file 1: Figure S1. Mechanism of MET activation. a MET is the receptor of hepatocyte growth factor (HGF). The α and β chains encompass the remainder of the extracellular domain, the juxtamembrane domain, and the kinase domain. The intracellular part of MET contains a juxtamembrane region responsible for signal regulation and receptor degradation, a catalytic region with enzyme activity, and a C-terminal region acting as a docking site for adaptor proteins. b The binding...

Additional file 2 of Crosstalk between 5-methylcytosine and N6-methyladenosine machinery defines disease progression, therapeutic response and pharmacogenomic landscape in hepatocellular carcinoma

Yu Tian, Haijuan Xiao, Yanhui Yang, Pingping Zhang, Jiahui Yuan, Wei Zhang, Lijie Chen, Yibao Fan, Jinze Zhang, Huan Cheng, Tingwei Deng, Lin Yang, Weiwei Wang, Guoyong Chen, Peiqin Wang, Peng Gong, Xing Niu & Xianbin Zhang
Additional file 2: Supplementary figure 2. Landscape of the methylation levels of 5mC/m6A regulators across pan-cancer. (A, B) Correlations of methylation and mRNA expression of 5mC/m6A regulators. (C, D) Differential methylation of 5mC/m6A regulators between tumor and paired normal tissues in each cancer type. (E, F) Survival differences between high and low methylation of 5mC/m6A regulators in each cancer type, reflecting survival affected by methylation.

Additional file 5 of Crosstalk between 5-methylcytosine and N6-methyladenosine machinery defines disease progression, therapeutic response and pharmacogenomic landscape in hepatocellular carcinoma

Yu Tian, Haijuan Xiao, Yanhui Yang, Pingping Zhang, Jiahui Yuan, Wei Zhang, Lijie Chen, Yibao Fan, Jinze Zhang, Huan Cheng, Tingwei Deng, Lin Yang, Weiwei Wang, Guoyong Chen, Peiqin Wang, Peng Gong, Xing Niu & Xianbin Zhang
Additional file 5: Supplementary figure 5. Prognostic value of 5mC/m6A regulators. (A) Heatmap showing the univariate cox regression analysis of 5mC/m6A regulators with OS across pan-cancer. (B) Forest plot for the univariate cox regression analysis of 5mC/m6A regulators with HCC patients’ OS.

Additional file 4 of Echocardiographic reference ranges for noninvasive left ventricular 18-segment myocardial work index and work efficiency in a healthy Asian population

Jian Wu, Xinyi Huang, Kunhui Huang, Yiruo Tang, Qiumei Gao, Xu Chen, Bo Jing, Xinyu Wang, Biqin Lin & Maolong Su
Additional file 4: Supplement Figure 4. Individual values of left ventricular 6-wall and 3-level average myocardial work efficiency according to sex and age categories. Horizontal lines represent median values. *P value < 0.05 between sexes. #P value < 0.05 between age subgroups.

Additional file 4 of Cuproptosis regulatory genes greatly contribute to clinical assessments of hepatocellular carcinoma

Changwei Ke, Shejiao Dai, Fangshi Xu, Jia Yuan, Shuting Fan, Yang Chen, Longbao Yang & Yong Li
Additional file 4: Supplementary figure 4. The infiltration levels of 21 immune cells in each HCC sample. HCC, hepatocellular carcinoma

Additional file 7 of Acetyltransferase NAT10 regulates the Wnt/β-catenin signaling pathway to promote colorectal cancer progression via ac4C acetylation of KIF23 mRNA

Chi Jin, Tuo Wang, Dongsheng Zhang, Peng Yang, Chuan Zhang, Wen Peng, Kangpeng Jin, Lu Wang, Jiahui Zhou, Chaofan Peng, Yuqian Tan, Jiangzhou Ji, Zhihao Chen, Qingyang Sun, Sheng Yang, Junwei Tang, Yifei Feng & Yueming Sun
Additional file 7: Figure S2. Knockdown of NAT10 inhibits the proliferation, migration and invasion of DLD-1 cells in vitro. A. Transfection efficiency of NAT10 in DLD-1 cells, detected by qRT-PCR, WB, and dot blot. B-D. CCK-8, colony formation, and EdU assays were performed to detect the proliferation of DLD-1 cells. E. The distribution of the cell cycle was detected by flow cytometry in DLD-1 cells. F. Cells were treated with the serum-free medium for 36...

Additional file 7 of Acetyltransferase NAT10 regulates the Wnt/β-catenin signaling pathway to promote colorectal cancer progression via ac4C acetylation of KIF23 mRNA

Chi Jin, Tuo Wang, Dongsheng Zhang, Peng Yang, Chuan Zhang, Wen Peng, Kangpeng Jin, Lu Wang, Jiahui Zhou, Chaofan Peng, Yuqian Tan, Jiangzhou Ji, Zhihao Chen, Qingyang Sun, Sheng Yang, Junwei Tang, Yifei Feng & Yueming Sun
Additional file 7: Figure S2. Knockdown of NAT10 inhibits the proliferation, migration and invasion of DLD-1 cells in vitro. A. Transfection efficiency of NAT10 in DLD-1 cells, detected by qRT-PCR, WB, and dot blot. B-D. CCK-8, colony formation, and EdU assays were performed to detect the proliferation of DLD-1 cells. E. The distribution of the cell cycle was detected by flow cytometry in DLD-1 cells. F. Cells were treated with the serum-free medium for 36...

Additional file 8 of Acetyltransferase NAT10 regulates the Wnt/β-catenin signaling pathway to promote colorectal cancer progression via ac4C acetylation of KIF23 mRNA

Chi Jin, Tuo Wang, Dongsheng Zhang, Peng Yang, Chuan Zhang, Wen Peng, Kangpeng Jin, Lu Wang, Jiahui Zhou, Chaofan Peng, Yuqian Tan, Jiangzhou Ji, Zhihao Chen, Qingyang Sun, Sheng Yang, Junwei Tang, Yifei Feng & Yueming Sun
Additional file 8: Figure S3. Knockdown of NAT10 suppresses the tumor growth and metastasis of DLD-1 cells in vivo. A. Representative images of subcutaneous xenograft tumors (n = 5 for each group). The tumor volumes were measured every 5 days and the tumor weights were analyzed. B. HE and IHC staining of xenograft tumors. The expression of Ki67 was detected by IHC. C. Representative images and analysis of luminescence intensity in metastasis models (n =...

Additional file 7 of Crosstalk between 5-methylcytosine and N6-methyladenosine machinery defines disease progression, therapeutic response and pharmacogenomic landscape in hepatocellular carcinoma

Yu Tian, Haijuan Xiao, Yanhui Yang, Pingping Zhang, Jiahui Yuan, Wei Zhang, Lijie Chen, Yibao Fan, Jinze Zhang, Huan Cheng, Tingwei Deng, Lin Yang, Weiwei Wang, Guoyong Chen, Peiqin Wang, Peng Gong, Xing Niu & Xianbin Zhang
Additional file 7: Supplementary figure 7. Subgroup analysis of HCC patients stratified by distinct clinicopathological factors. Kaplan-Meier curves of OS between high and low EME HCC patients in each subgroup of (A, B) age ≥65 and <65, (C, D) female and male, (E, F) G1-2 and G3-4, (G, H) stage I-II and stage III-IV, (I, J) T1-2 and T3-4, and (K, L) HBV infection and non-infection.

Additional file 1 of Thrombospondin-2 promotes the proliferation and migration of glioma cells and contributes to the progression of glioma

Tian-Lan Huang, Yi-Wen Mei, Yang Li, Xin Chen, Si-Xun Yu, Yong-Qin Kuang & Hai-Feng Shu
Additional file 1: Supplementary Fig. 1. Expression and prognosis of TSPs in glioma.

Additional file 1 of Thrombospondin-2 promotes the proliferation and migration of glioma cells and contributes to the progression of glioma

Tian-Lan Huang, Yi-Wen Mei, Yang Li, Xin Chen, Si-Xun Yu, Yong-Qin Kuang & Hai-Feng Shu
Additional file 1: Supplementary Fig. 1. Expression and prognosis of TSPs in glioma.

Additional file 2 of Thrombospondin-2 promotes the proliferation and migration of glioma cells and contributes to the progression of glioma

Tian-Lan Huang, Yi-Wen Mei, Yang Li, Xin Chen, Si-Xun Yu, Yong-Qin Kuang & Hai-Feng Shu
Additional file 2: Supplementary Fig. 2. Analysis of the Spearman correlation coefficients between the expression of TSP2 protein and the age of patients.

Additional file 3 of Thrombospondin-2 promotes the proliferation and migration of glioma cells and contributes to the progression of glioma

Tian-Lan Huang, Yi-Wen Mei, Yang Li, Xin Chen, Si-Xun Yu, Yong-Qin Kuang & Hai-Feng Shu
Additional file 3: Supplementary Fig. 3. The source of the TSP2 protein in surgical specimens.

Additional file 10 of Acetyltransferase NAT10 regulates the Wnt/β-catenin signaling pathway to promote colorectal cancer progression via ac4C acetylation of KIF23 mRNA

Chi Jin, Tuo Wang, Dongsheng Zhang, Peng Yang, Chuan Zhang, Wen Peng, Kangpeng Jin, Lu Wang, Jiahui Zhou, Chaofan Peng, Yuqian Tan, Jiangzhou Ji, Zhihao Chen, Qingyang Sun, Sheng Yang, Junwei Tang, Yifei Feng & Yueming Sun
Additional file 10: Figure S5. NAT10 mediates the mRNA degradation of KIF23 in an ac4C-dependent way. A. Correlation analysis between the mRNA levels of NAT10 and KIF23 according to the TCGA or GEO datasets. B. KIF23 staining of the TMA. The expression of KIF23 was analyzed by IHC. C. Correlation analysis between the protein levels of NAT10 and KIF23 in the TMA. D. NAT10 RIP followed by qPCR in DLD-1 cells. E. acRIP followed by...

Additional file 11 of Acetyltransferase NAT10 regulates the Wnt/β-catenin signaling pathway to promote colorectal cancer progression via ac4C acetylation of KIF23 mRNA

Chi Jin, Tuo Wang, Dongsheng Zhang, Peng Yang, Chuan Zhang, Wen Peng, Kangpeng Jin, Lu Wang, Jiahui Zhou, Chaofan Peng, Yuqian Tan, Jiangzhou Ji, Zhihao Chen, Qingyang Sun, Sheng Yang, Junwei Tang, Yifei Feng & Yueming Sun
Additional file 11: Figure S6. The NAT10/KIF23 axis regulates CRC cells by activating the Wnt/β-catenin pathway. A. GSEA analysis of NAT10 in TCGA and GEO dataset. B. β-catenin staining of the TMA. The expression of β-catenin was analyzed by IHC. C. The expression of GSK-3β, phosphorylated GSK-3β and β-catenin were determined by WB upon NAT10 knockdown in DLD-1 cells. D. The level of β-catenin in the cell nucleus and cytoplasm was determined by WB in...

Additional file 4 of Thrombospondin-2 promotes the proliferation and migration of glioma cells and contributes to the progression of glioma

Tian-Lan Huang, Yi-Wen Mei, Yang Li, Xin Chen, Si-Xun Yu, Yong-Qin Kuang & Hai-Feng Shu
Additional file 4: Supplementary Fig. 4. Effects of different concentrations of TSP2 protein on the proliferation of U251 cells.

Additional file 9 of Tumor stemness score to estimate epithelial-to-mesenchymal transition (EMT) and cancer stem cells (CSCs) characterization and to predict the prognosis and immunotherapy response in bladder urothelial carcinoma

Yanlong Zhang, Xin Zhang, Xuefeng Huang, Xiaomeng Tang, Menghan Zhang, Ziyi Li, Xiaopeng Hu, Min Zhang, Xi Wang & Yong Yan
Additional file 9: Figure 9. Kaplan–Meier curves of DSS for high and low TS score patients in 21 types of cancer. Log-rank test, p < 0.05.

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