Additional file 6.

Additional file 10: Figure S10. A.443654 inhibits the cell proliferation of PAAD. (A) Cell viability of PANC-1 cell line treated with DMSO and 50 nM A.443654, respectively. *P < 0.05, **P < 0.01 by a two-tailed unpaired t-test. (B) Colony formation assay of PANC-1 cells treated with DMSO and 50 nM A.443654, respectively. **P < 0.01 by a two-tailed unpaired t-test. (C) Edu assay of PANC-1 cells treated with DMSO and 50 nM A.443654, respectively....

Additional file 1: Figure S1. Functional enrichment analyses of gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG). (A) Bubble graph for GO enrichment (the bigger bubble means the more genes enriched, and the increasing depth of red means the differences were more obvious; q-value: the adjusted p-value). (B) KEGG enrichment analysis of differentially expressed genes.

Additional file 3: Figure S3. Risk model independent prognostic analysis. (A) Univariate independent prognosis Cox regression analysis of risk score and indicated clinical characteristics. (B) Multivariate independent prognosis Cox regression analysis of risk score and indicated clinical characteristics.

Additional file 6: Figure S6. The correlation of immune infiltrating cells with risk scores was determined in the training set. (A) Boxplots represent the level of different types of immune infiltrating cells in high- and low- risk group. (B-F) the correlation between the risk score and immune infiltrating cells was further examined by Spearman correlation analysis. *p < 0.05, ***p < 0.001.

Additional file 9: Figure S9. Overexpression GSDMC promotes cell proliferation and invasion in PAAD. (A)PANC-1 (left panel) and CFPAC-1 (right panel) cells were subjected to immunoblotting as indicated. (B, C) Cell growth of PANC-1 cells (B) and CFPAC-1 cells (C) were measured by CCK-8 assay. *P < 0.05, **P < 0.01 by two-way ANOVA. (D, F) Clone formation of PANC-1 cells (D) and CFPAC-1 cells (F) were measured as indicated ***P < 0.001 by a...

Additional file 11. Figure S11. Heatmap showing cluster-specific gene profiles. (a) Macrophage-specific gene profiles. (b) Neutrophil-specific gene profiles. (c) T cell-specific gene profiles. (d) NK cell-specific gene profiles. (e) B cell-specific gene profiles. (f) Monocyte-specific gene profiles. (g) cDC-specific gene profiles. (h) pDC-specific gene profiles. (i) Mast-specific gene profiles.

Additional file 3. Figure S3: The effects of MSA-2 and TGF-β on M1-like or M2-like macrophage markers. (a-c) Unactivated BMDMs were cultured with MSA-2 for one day and cells were collected for CD80, I-A/I-E, and CD206 detection. (d-g) Unactivated BMDMs were treated with MSA-2 and TGF-β1 for one day, and cells were harvested for CD80, CD86, H2-Kd, and CD206 detection.

Additional file 3. Figure S3: The effects of MSA-2 and TGF-β on M1-like or M2-like macrophage markers. (a-c) Unactivated BMDMs were cultured with MSA-2 for one day and cells were collected for CD80, I-A/I-E, and CD206 detection. (d-g) Unactivated BMDMs were treated with MSA-2 and TGF-β1 for one day, and cells were harvested for CD80, CD86, H2-Kd, and CD206 detection.

Additional file 1: Figure S1. The figure file shows the proceeding of soft tissue reconstruction in more detail.

Additional file 1. Multiplanar reconstruction of MRI using FS PD-TSE sequence of Case 1.

Additional file 11: Fig. S5. Speculation of the subpopulation source of the parental allele at all 14,397 segregating genes by comparing the allele frequencies of Q9311B and WSSM in 772 Geng and 1,174 Xian accessions from 3 K-RG.

Additional file 2: Figure S2. Schematic representation of the sequences of the dual luciferase reporter gene vectors for the 4 miRNAs.

Additional file 3: Figure S3. HE (scale bar = 200 μm) and Masson (scale bar = 50 μm) staining in the rat calvarial defect model (n = 6).

Supplementary Material 3

Additional file 2: Fig. S2. KEGG enrichment of differential expressed genes in septic patients compared with healthy person. a The volcano plot was constructed using the fold change values and P-adjust. Red dots indicate upregulated genes; blue dots indicate downregulated genes. b The heatmap of the differential gene expression, where different colors represent trends of gene expression in different tissues. c, d The enriched KEGG signaling pathways were selected to demonstrate the primary biological actions...

Additional file 1: Supplementary Figure 1. MMP-13 levels in the medium of IL-1β-induced C28/I2 cells detected by ELISA.

Additional file 6: Figure 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...

Supplementary Material 3

Additional file 1. Fig. S1: Low doses of SI-2 exhibit better tumor-suppressive activity than high doses of SI-2. A Reduction in luciferase activity in E0771 tumors in B6 albino mice by SI-2 (2.5 mg/kg and 5 mg/kg) treatment compared with vehicle treatment. Quantification of luciferase activity in the E0771 breast tumors shown in Panel A. B–D. Numbers of CD4+ T cells (B), CD8+ T cells (C), and CD56+ NK cells (D) in E0771 breast tumors...

Additional file 4: Supplementary Fig. 3. The web calculator for the prediction model of massive hemorrhage in trauma. Input the test results of heart rate, pulse pressure, base excess and hemoglobin, and select whether the patient has displaced pelvic fracture and positive CT scan or FAST. Then click the “CALCULATE” button, and the web calculator will automatically calculate and obtain the risk probability of massive hemorrhage. The range is 1–100%. The higher the value, the...

Supplemental material, sj-tif-2-cll-10.1177_09636897221139103 for Low-Dose Anti-Thymocyte Globulin Plus Low-Dose Posttransplant Cyclophosphamide as an Effective Regimen for Prophylaxis of Graft Versus Host Disease After Haploidentical Peripheral Blood Stem Cell Transplantation With Maternal/Collateral Related Donors by Ting Li, Qiaomei He, Jun Yang, Yu Cai, Chongmei Huang, Xiaowei Xu, Huiying Qiu, Jiahua Niu, Kun Zhou, Yin Zhang, Xinxin Xia, Yu Wei, Chang Shen, Xueying Ding, Yin Tong, Liping Wan and Xianmin Song in Cell Transplantation

Additional file 10: Supplementary Figure S10. Spearman correlation coefficient between 22 immune cells was calculated for CESC (A), OV (B), UCEC (C), and UCS D. Red bubbles indicate positive correlations and blue bubbles indicate negative correlations. The numbers in the bubbles represent the correlation coefficients.

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 1: Supplementary Figure 1. Forest plot of subgroup analysis for OS on type of therapy.