Additional file 14: Figure S5. c-Myc is ubiquitinated substrate of β-TrCP. A. The expression of β-TrCP was examined in CNE2 and 5-8F cells after overexpression or knockdown of circPVT1 using western blotting.B. The β-TrCP binding proteins were identified in CNE2 cells by immunoprecipitation followed by LC-MS/MS.C. The interaction of c-Myc and β-TrCP was predicted by Molecular Docking ( http://hdock.phys.hust.edu.cn/ ). The blue part is the WD40 repeat domain of β-TrCP.D. The expression of c-Myc was...

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

Additional file 6: Figure S3. The petP and petE plasmids expression in E. coil by SDS-PAGE analysis of whole cell (WC), supernatant (S), and protein marker (M).

Additional file 7: Figure S4. Yields of saturated mutants of three amino acid residues of Cv-ωTA converting cinnamaldehyde to cinnamylamine. (A) The production of cinnamylamine in saturated mutants of at the Phe22 site after adding cinnamaldehyde. (B) The production of cinnamylamine in saturated mutants of at the Tyr168 site after adding cinnamaldehyde. (C) The production of cinnamylamine in saturated mutants of at the Ala231 site after adding cinnamaldehyde. The mutant with the highest cinnamylamine production...

Additional file 7: Figure S4. Yields of saturated mutants of three amino acid residues of Cv-ωTA converting cinnamaldehyde to cinnamylamine. (A) The production of cinnamylamine in saturated mutants of at the Phe22 site after adding cinnamaldehyde. (B) The production of cinnamylamine in saturated mutants of at the Tyr168 site after adding cinnamaldehyde. (C) The production of cinnamylamine in saturated mutants of at the Ala231 site after adding cinnamaldehyde. The mutant with the highest cinnamylamine production...

Additional file 6: Figure S6. Forest plot for withdrawals due to adverse events in ADA and control groups

Additional file 2: Fig. S2. The effects of hypoxia on AB2.2 mESC differentiation performed with a high-serum differentiation medium. The differentiation in the high-serum differentiation medium was non-lineage-prone. In the differentiation performed with the high-serum medium, the expressions of (A) mesendoderm markers (T, Eomes, Mesp1, and Gsc) and (B) ectoderm markers (Pax6 and Nestin) were downregulated and upregulated by hypoxia, respectively. *, significant (P<0.05).

Additional file 5: Fig. S5. The Wnt/β-Catenin pathway was affected by hypoxia. (A) The expression of canonical Wnts (Wnt3 and Wnt8a) and (B) Wnt/β-Catenin pathway downstream targets (Sp5 and Cdx1) was downregulated by hypoxia in AB2.2 mESCs undergoing differentiation. (C) The expression of canonical Wnts (Wnt3 and Wnt8a) and (D) Wnt/β-Catenin pathway downstream targets (Sp5 and Cdx1) was downregulated by hypoxia in R1 mESCs undergoing differentiation. (E-G) Expression of nuclear β-Catenin was significantly repressed, while...

Additional file 7: Fig. S7. The supplementary data of the effects of Hif-1α on the mesendoderm differentiation and Wnt/β-Catenin pathway. (A) The expression patterns of Egln1 in the differentiating AB2.2 mESCs under normoxia and hypoxia. (B) Doxycycline (Dox)-inducible overexpression of oxygen-resistant Hif-1α was verified by western blotting analysis. A Myc tag was added to the C-terminus of Hif-1α. (C) The mRNA expression of mesendoderm markers (T, Eomes, Mesp1, and Gsc) in AB2.2 mESCs with or...

Additional file 8: Fig. S8. The supplementary analyses performed on the RNA-seq data of normoxia, hypoxia, control, and Hif-1α overexpression groups. The volcano plot showed the differentially expressed genes (DEGs) in (A) Hif-1α-OE_vs_Con and (B) HvsN_shHif-1α. |Log2(Fold Change)|>1 and adjusted P-value<0.05 were used as the cutoff criteria. (C) The GO terms of the DEGs upregulated by Hif-1α overexpression. GSEA of (D) apoptosis and (E) cell of AB2.2 mESCs on differentiation day 4 under hypoxia versus...

Additional file 1: Supplemental Figure 1. Determining the optimal cutoff value of LND for predicting cancer-specific survival using x tile software. (A) Bar graph representing population distribution; (B) Kaplan–Meier survival curves divided by LND cutoff; (C) relative risk analysis among subgroups divided by cutoff value of LND.

The fitted trees for evolutionary analyses using MEME, SLAC, FUBAR method

Additional file 2: Fig. S1. A Schematic diagram of the genomic locus of CEBPA-DT (www.ncbi.nlm.nih.gov/). B The protein-coding potential of CEBPA-DT predicted by Open reading frame (ORF) Finder software prediction ( https://www.ncbi.nlm.nih.gov/orffinder/ ). C The protein-coding potential of CEBPA-DT predicted by Coding-Potential Assessment Tool ( wlcb.oit.uci.edu/cpat/ ).

Additional file 6: Fig. S5. A-B The expression levels of DDR2 were measured by western blot and RT-qPCR in indicated HCCLM9 and SNU-449 cells transfected with negative control siRNA or siRNAs targeting DDR2. C-D Cell migration capacity of indicated HCCLM9 and SNU-449 cells were measured by scratch wound-healing assays. Scale bar, 100μm. E-F Cell migration and invasion capacity of indicated HCCLM9 and SNU-449 cells were measured by transwell migration and matrigel invasion assays. Scale bar,...

Additional file 7: Fig. S6. A-B Scratch wound-healing assays showed cell migration capacity of indicated Hep3B and Huh7 cells stably transfected with lentivirus of shDDR2 vectors and control/ CEBPA-DT overexpressing vectors. Scale bar, 100μm. C-D Transwell migration and matrigel invasion assays showed cell migration and invasion capacity of indicated Hep3B and Huh7 cells stably transfected with lentivirus of shDDR2 vectors and control/ CEBPA-DT overexpressing vectors. Scale bar, 100μm. E Representative images (fluorescence) of lung metastatic...

The fitted trees for evolutionary analyses using MEME, SLAC, FUBAR method

Supplemental material, sj-tif-1-tct-10.1177_15330338221123634 for Ixazomib Combined With Autologous Stem Cell Transplantation for POEMS Syndrome: A Case Report and Meta-Analysis by Ji Ma, Xiaoyue Wang, Hui Lu, Zhihao Liang and Liang Wang in Technology in Cancer Research & Treatment

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.

Supplementary Material 3

Supplementary Material 3

Additional file 2: Fig. S2. Correlation between biventricular global strain and age assessed by Medis. Linear regressions with the 95% prediction band for LV global radial strain (GRS) (a), global circumferential strain (GCS) (b), global longitudinal strain (GLS) (c), and RV free wall- global longitudinal strain (RVFW-GLS) (d).

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 2: Fig. S2. (A) The comparison of immune infiltration levels between high-risk and low-risk groups in L_cancer patients, based on CIBERSORT. (B) The Stromal Score difference, Immune Score difference, ESTIMATE Score difference, and tumor purity difference between high-risk and low-risk groups in L_cancer patients. (C) The immune checkpoint-related gene expression levels in high-risk and low-risk groups in L_cancer patients. (D) The tumor mutation burden difference between high-risk and low-risk groups in L_cancer patients....