44 Works

Additional file 1 of Mucosal-associated invariant T cells predict increased acute graft-versus-host-disease incidence in patients receiving allogeneic hematopoietic stem cell transplantation

Zhao Wang, Sudong Zhang, Xiaoyu Zhang, Li Liu, Lukun Zhou, Yuyan Shen, Rongli Zhang, Yi He, Donglin Yang, Erlie Jiang, Xiaoming Feng, Jiaxi Zhou, Tao Cheng, Mingzhe Han & Sizhou Feng
Additional file 1: Other immune cell populations besides MAIT cells in grafts on aGVHD development.

Additional file 1 of Mucosal-associated invariant T cells predict increased acute graft-versus-host-disease incidence in patients receiving allogeneic hematopoietic stem cell transplantation

Zhao Wang, Sudong Zhang, Xiaoyu Zhang, Li Liu, Lukun Zhou, Yuyan Shen, Rongli Zhang, Yi He, Donglin Yang, Erlie Jiang, Xiaoming Feng, Jiaxi Zhou, Tao Cheng, Mingzhe Han & Sizhou Feng
Additional file 1: Other immune cell populations besides MAIT cells in grafts on aGVHD development.

Additional file 1 of RETRACTED ARTICLE: Linc00152 promotes malignant progression of glioma stem cells by regulating miR-103a-3p/FEZF1/CDC25A pathway

Mingjun Yu, Yixue Xue, Jian Zheng, Xiaobai Liu, Hai Yu, Libo Liu, Zhen Li & Yunhui Liu
Isolation and identification of GSCs. A. a, c: Cells grew into spheres in serum-free medium. b, d: Spheres generated again from a single cell. B. Individual undifferentiated GSCs-87 and GSCs-251 stained for Nestin (green) and CD133 (red) by immunofluorescence analysis. C. Cell spheres were differentiated and then stained for GFAP (green) and β-tubulin III (red) by immunofluorescence analysis. Nuclei (blue) were labeled with DAPI. Images are representative of independent experiments (n = 5). Scale bars...

Additional file 11 of A comprehensive pan-cancer analysis of necroptosis molecules in four gynecologic cancers

Jianfeng Zheng, Xintong Cai, Yu Zhang, Huihui Wang, Li Liu, Fengling Tang, Linying Liu & Yang Sun
Additional file 11: Supplementary Figure S11. Expression of immune checkpoints in the low and high-risk groups for CESC (A), OV (B), UCEC (C), and UCS D. ∗P<0.05; ∗∗P<0.01; ∗∗∗P<0.001; ns: not significant. The blue bars represent the low-risk group and the red bars represent the high-risk group.

Additional file 9 of A comprehensive pan-cancer analysis of necroptosis molecules in four gynecologic cancers

Jianfeng Zheng, Xintong Cai, Yu Zhang, Huihui Wang, Li Liu, Fengling Tang, Linying Liu & Yang Sun
Additional file 9: Supplementary Figure S9. The waterfall plot of somatic mutation features established with risk scores. A-B The waterfall plot of somatic mutation in CESC for high-risk group (A) and low-risk group B. C-D The waterfall plot of somatic mutation in OV for high-risk group (C) and low-risk group D. E-F The waterfall plot of somatic mutation in UCEC for high-risk g©p (E) and low-risk group F. G-H The waterfall plot of somatic mutation...

Additional file 6 of A comprehensive pan-cancer analysis of necroptosis molecules in four gynecologic cancers

Jianfeng Zheng, Xintong Cai, Yu Zhang, Huihui Wang, Li Liu, Fengling Tang, Linying Liu & Yang Sun
Additional file 6: Supplementary Figure S6. Expression values of NRGs in prognostic signature of OV. A-D Expression values of NRGs in TCGA for BACH2 (A), MLKL (B), MYC (C), MYCN (D), and SIRT2 (E). F-J Expression values of NRGs in our cohort for BACH2 (F), MLKL (I), MYC (G), MYCN (H), and SIRT2 (J).

Additional file 8 of A comprehensive pan-cancer analysis of necroptosis molecules in four gynecologic cancers

Jianfeng Zheng, Xintong Cai, Yu Zhang, Huihui Wang, Li Liu, Fengling Tang, Linying Liu & Yang Sun
Additional file 8: Supplementary Figure S8. The Nomogram model based on risk model and clinical features for GCs. A-B The Nomogram (A) and calibration curve (B) for CESC. C-D The Nomogram (C) and calibration curve (D) for OV. (E-F) The Nomo©m (E) and calibration curve (F) for UCEC. G-H The Nomogram (G) and calibration curve (H) for UCS.

Additional file 4 of A comprehensive pan-cancer analysis of necroptosis molecules in four gynecologic cancers

Jianfeng Zheng, Xintong Cai, Yu Zhang, Huihui Wang, Li Liu, Fengling Tang, Linying Liu & Yang Sun
Additional file 4: Supplementary Figure S4. Statistical analysis of the number of differential NRGs and prognostic NRGs of the four GCs. Red bars show up-regulated NRGs in cancer tissue. The green bars show NRGs that are downregulated in cancer tissue. The blue bars show the sum of the differential NRGs. Yellow bars indicate prognostic NRGs.

Additional file 12 of Carbohydrates and ginsenosides in shenmai injection jointly improve hematopoietic function during chemotherapy-induced myelosuppression in mice

Shiyu Zhang, Yinxiao Mi, Tingting Ye, Xiaoyan Lu, Li Liu, Jing Qian & Xiaohui Fan
Additional file 12: Figure S4. Representative immunohistochemical staining images for GSTT1 in bone marrows of Control, Model, S+Rg, S, and Rg groups.

Additional file 3 of Carbohydrates and ginsenosides in shenmai injection jointly improve hematopoietic function during chemotherapy-induced myelosuppression in mice

Shiyu Zhang, Yinxiao Mi, Tingting Ye, Xiaoyan Lu, Li Liu, Jing Qian & Xiaohui Fan
Additional file 3: Figure S3. BMNC count in each group. Cells were isolated on Day 10 (n = 6 for Control group, n = 3 for Model group, n = 8 for SMI group, n = 6 for S+Rg group, n = 6 for S group and n = 7 for Rg group). The results are expressed as the means ± SEM. ##p < 0.01, compared with Control group; *p < 0.05, **p < 0.01,...

Non-small-cell lung cancer patients harboring TP53/KRAS co-mutation could benefit from a PD-L1 inhibitor Supplementary Figure 2

Chenyue Zhang, Kai Wang, Jiamao Lin & Haiyong Wang
Non-small-cell lung cancer patients harboring TP53/KRAS co-mutation could benefit from a PD-L1 inhibitor Supplementary Figure 2

Additional file 2 of Carbohydrates and ginsenosides in shenmai injection jointly improve hematopoietic function during chemotherapy-induced myelosuppression in mice

Shiyu Zhang, Yinxiao Mi, Tingting Ye, Xiaoyan Lu, Li Liu, Jing Qian & Xiaohui Fan
Additional file 2: Figure S2. HPLC analysis of carbohydrates in SMI (Lot No. 1907018).

Additional file 3 of A comprehensive pan-cancer analysis of necroptosis molecules in four gynecologic cancers

Jianfeng Zheng, Xintong Cai, Yu Zhang, Huihui Wang, Li Liu, Fengling Tang, Linying Liu & Yang Sun
Additional file 3: Supplementary Figure S3. The survival curves of necroptosis-score. A-D Kaplan–Meier curve was used to analyze the survival rate of CESC (A), OV (B), UCEC (C), and UCS (D) patients with high or low necroptosis-score. Black curves indicate low necroptosis-score and red curves indicate high necroptosis-score.

Additional file 4 of A comprehensive pan-cancer analysis of necroptosis molecules in four gynecologic cancers

Jianfeng Zheng, Xintong Cai, Yu Zhang, Huihui Wang, Li Liu, Fengling Tang, Linying Liu & Yang Sun
Additional file 4: Supplementary Figure S4. Statistical analysis of the number of differential NRGs and prognostic NRGs of the four GCs. Red bars show up-regulated NRGs in cancer tissue. The green bars show NRGs that are downregulated in cancer tissue. The blue bars show the sum of the differential NRGs. Yellow bars indicate prognostic NRGs.

Non-small-cell lung cancer patients harboring TP53/KRAS co-mutation could benefit from a PD-L1 inhibitor Supplementary Figure 2

Chenyue Zhang, Kai Wang, Jiamao Lin & Haiyong Wang
Non-small-cell lung cancer patients harboring TP53/KRAS co-mutation could benefit from a PD-L1 inhibitor Supplementary Figure 2

Additional file 12 of Carbohydrates and ginsenosides in shenmai injection jointly improve hematopoietic function during chemotherapy-induced myelosuppression in mice

Shiyu Zhang, Yinxiao Mi, Tingting Ye, Xiaoyan Lu, Li Liu, Jing Qian & Xiaohui Fan
Additional file 12: Figure S4. Representative immunohistochemical staining images for GSTT1 in bone marrows of Control, Model, S+Rg, S, and Rg groups.

Additional file 1 of Carbohydrates and ginsenosides in shenmai injection jointly improve hematopoietic function during chemotherapy-induced myelosuppression in mice

Shiyu Zhang, Yinxiao Mi, Tingting Ye, Xiaoyan Lu, Li Liu, Jing Qian & Xiaohui Fan
Additional file 1: Figure S1. HPLC analysis of SMI from different batches. (A) HPLC analysis of SMI (Lot No. 1907018). (B) HPLC analysis of SMI (Lot No. 1907229). (C) HPLC analysis of SMI (Lot No. 1907277).

Additional file 12 of A comprehensive pan-cancer analysis of necroptosis molecules in four gynecologic cancers

Jianfeng Zheng, Xintong Cai, Yu Zhang, Huihui Wang, Li Liu, Fengling Tang, Linying Liu & Yang Sun
Additional file12: Supplementary Figure S12. Spearman correlation between NRGs expression level and IC50 level of drugs. A Bubble chart for CESC. B Bubble chart for OV. C Bubble chart for UCEC. D Bubble chart for UCS. The bubble color indicates the degree of correlation index. The bubble size indicates the P-value. The correlation with P<0.05 & |Cor|>0.3 were retained to produce the figure.

Additional file 6 of A comprehensive pan-cancer analysis of necroptosis molecules in four gynecologic cancers

Jianfeng Zheng, Xintong Cai, Yu Zhang, Huihui Wang, Li Liu, Fengling Tang, Linying Liu & Yang Sun
Additional file 6: Supplementary Figure S6. Expression values of NRGs in prognostic signature of OV. A-D Expression values of NRGs in TCGA for BACH2 (A), MLKL (B), MYC (C), MYCN (D), and SIRT2 (E). F-J Expression values of NRGs in our cohort for BACH2 (F), MLKL (I), MYC (G), MYCN (H), and SIRT2 (J).

Additional file 2 of A comprehensive pan-cancer analysis of necroptosis molecules in four gynecologic cancers

Jianfeng Zheng, Xintong Cai, Yu Zhang, Huihui Wang, Li Liu, Fengling Tang, Linying Liu & Yang Sun
Additional file 2: Supplementary Figure S2. Correlation analysis of the 76 NRGs for CESC (A), OV (B), UCEC (C), and UCS D. Red indicates a positive correlation; blue indicates a negative correlation.

Additional file 7 of A comprehensive pan-cancer analysis of necroptosis molecules in four gynecologic cancers

Jianfeng Zheng, Xintong Cai, Yu Zhang, Huihui Wang, Li Liu, Fengling Tang, Linying Liu & Yang Sun
Additional file 7: Supplementary Figure S7. Clinical value of risk score by independent prognostic analysis. A-H The Univariate Cox regression analysis and Multivariate Cox regression analysis for CESC (A-B), OV (C-D), UCEC (E-F), and UCS G-H.

Additional file 2 of A comprehensive pan-cancer analysis of necroptosis molecules in four gynecologic cancers

Jianfeng Zheng, Xintong Cai, Yu Zhang, Huihui Wang, Li Liu, Fengling Tang, Linying Liu & Yang Sun
Additional file 2: Supplementary Figure S2. Correlation analysis of the 76 NRGs for CESC (A), OV (B), UCEC (C), and UCS D. Red indicates a positive correlation; blue indicates a negative correlation.

Additional file 1 of Linc00152 promotes malignant progression of glioma stem cells by regulating miR-103a-3p/FEZF1/CDC25A pathway

Mingjun Yu, Yixue Xue, Jian Zheng, Xiaobai Liu, Hai Yu, Libo Liu, Zhen Li & Yunhui Liu
Isolation and identification of GSCs. A. a, c: Cells grew into spheres in serum-free medium. b, d: Spheres generated again from a single cell. B. Individual undifferentiated GSCs-87 and GSCs-251 stained for Nestin (green) and CD133 (red) by immunofluorescence analysis. C. Cell spheres were differentiated and then stained for GFAP (green) and β-tubulin III (red) by immunofluorescence analysis. Nuclei (blue) were labeled with DAPI. Images are representative of independent experiments (n = 5). Scale bars...

Additional file 2 of Carbohydrates and ginsenosides in shenmai injection jointly improve hematopoietic function during chemotherapy-induced myelosuppression in mice

Shiyu Zhang, Yinxiao Mi, Tingting Ye, Xiaoyan Lu, Li Liu, Jing Qian & Xiaohui Fan
Additional file 2: Figure S2. HPLC analysis of carbohydrates in SMI (Lot No. 1907018).

Additional file 7 of A comprehensive pan-cancer analysis of necroptosis molecules in four gynecologic cancers

Jianfeng Zheng, Xintong Cai, Yu Zhang, Huihui Wang, Li Liu, Fengling Tang, Linying Liu & Yang Sun
Additional file 7: Supplementary Figure S7. Clinical value of risk score by independent prognostic analysis. A-H The Univariate Cox regression analysis and Multivariate Cox regression analysis for CESC (A-B), OV (C-D), UCEC (E-F), and UCS G-H.

Registration Year

  • 2022
    44

Resource Types

  • Image
    44

Affiliations

  • Huazhong University of Science and Technology
    42
  • Fudan University
    42
  • Xinjiang Medical University
    42
  • University of Iowa
    37
  • Zhejiang University
    36
  • Air Force Medical University
    36
  • Kunming Medical University
    35
  • North West Agriculture and Forestry University
    34
  • Sun Yat-sen University
    34
  • Central South University
    34