Long non-coding RNA (lncRNA) ZFAS1 (zinc finger antisense 1) was demonstrated to play critical roles in various cancer progression. However, the functions of ZFAS in cervical cancers (CC) are unclear. Human CC cell lines were used for in vitro experiments. RT-qPCR (Real Time Quantitative PCR) was performed to detect the expression of ZFAS1, microRNA-190a-3p (miR-190a-3p) and Kruppel-like factor 6 (KLF6). Cell proliferation, invasion and migration assays were used to investigate biological behaviors of CC cells...

Additional file 1: Figure S1. Enrichment of differentially expressed genes in lung tissues of neonatal mice with intrauterine inflammation. A Immunofluorescence detection of Pro-SFTPC in the lung tissues of neonatal mice (green, DAPI: blue). C, D GO and KEGG enrichment of the upregulated genes. E, F GO and KEGG enrichment of the downregulated genes.Q-value ≤ 0.05 and fold-change ≥ 2 were used as the thresholds for screening the differentially expressed genes. Data show mean ±...

Additional file 1: Figure S1. Enrichment of differentially expressed genes in lung tissues of neonatal mice with intrauterine inflammation. A Immunofluorescence detection of Pro-SFTPC in the lung tissues of neonatal mice (green, DAPI: blue). C, D GO and KEGG enrichment of the upregulated genes. E, F GO and KEGG enrichment of the downregulated genes.Q-value ≤ 0.05 and fold-change ≥ 2 were used as the thresholds for screening the differentially expressed genes. Data show mean ±...

Additional file 5: Figure S5. The expression of DNA methylation related enzymes in lung tissues and TNF-α-treated MLE-12 cells. A Dnmt1, Dnmt3a, Mbd1, and Tet1 expression analysed using RT-qPCR in lung tissues of neonatal mice. B TNF-α expression analysed using RT-qPCR in lung tissues of neonatal mice. C Dnmt1, Dnmt3a, Mbd1, and Tet1 expression analysed using RT-qPCR in TNF-α-treated MLE-12 cells. D Serpine1 expression analysed using RT-qPCR in TNF-α-treated MLE-12 cells. Data show mean ±...

Additional file 12. Figure S12. Histogram representing the proportion of clusters in each group.

Additional file 13. Figure S13. Bubble plots showing the results of DEG functional enrichment analysis using GO gene sets in T cells, NK cells, and cDCs.

Additional file 14. Figure S14. Reclustering analysis of tumor-infiltrating NK cells. (a) T-distributed stochastic neighbor embedding (t-SNE) plot for NK cells. (b) t-SNE plot for the treatment group-specific distribution of NK cell subclusters. (c) Violin plots showing NK cell subcluster-specific gene profiles. (d) Histogram representing the proportion of NK cells subcluster in each group. (e-f) Violin plots showing the levels of Cd69 and Tnf of NK cell subclusters. (g) Heatmap depicting the results of GSEA...

Additional file 4. Figure S4: The effects of MSA-2 and TGF-β on chemokine production in BMDM. (a-f) Unactivated BMDMs were cultured with MSA-2 for one day, and supernatants were collected for chemokine detection.

Additional file 5: Figure S5. Composition of splenic immune cells and CD4+ T cell subpopulations in healthy Sigirr +/+ mice and Sigirr −/− mice. (A), Frequencies of major immune populations in spleens between Sigirr +/+ mice (n = 5) and Sigirr −/− mice (n = 5). (B), Absolute number and frequency of granulocytes among 2.5 × 105 live CD45+ leukocytes derived from Sigirr +/+ and Sigirr −/−mice. (C), Representative plots of T cells (CD3+ NK1.1−),...

Additional file 7: Figure S7. Ectopic expression of SIGIRR in purified CD4+ T cells after transfection with retrovirus packaged by phoenix helper-free retrovirus producer lines. The expression of SIGIRR (50 kDa) and GFP (27 kDa) in CD4 T-cell lysates was detected by immunoblotting with GAPDH as a loading control.

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: 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 4: Figure S4. TPM1 knockdown exacerbates inflammation in the TREM2−/− mouse retina. A, B Western blot analysis (A) and quantification of TPM1 (B) in the retina of C57BL/6J (WT) and TREM2−/− mice. Data are presented as mean ± SEM and analyzed by unpaired two-tailed Student’s t test (WT vs. TREM2−/−, **p < 0.01). C, D Western blot analysis (C) and quantification of TREM2 (D) in WT mice following LPS and siCTR or siTPM1-1...

Additional file 5: Figure S5. TPM1 knockdown changes transcriptome associated with glial cells in WT mouse retina. A A heatmap showing DEGs associated with microglia and astrocytes in WT mice following treatments with PBS, or with LPS and siTPM1-1 or siCTR. B–G The expression levels of DEGs associated with M1 (B) or M2 microglia (C, D) and with A1 (E) or A2 astrocytes (F, G) in WT mice after treatment with PBS, or with LPS...

Supplemental material, sj-tif-4-npx-10.1177_1934578X221130874 for Cryptotanshinone From Salvia miltiorrhiza Inhibits the Growth of Tumors and Enhances the Efficacy of Chemotherapy in a Gastric Cancer Mouse Model by Wenkai Wu, Yezhi Cao, Ling Cheng, Linghu Wang, Qingsheng Yu, Hui Peng, Fuhai Zhou, Haiwei Liu and Qi Zhang in Natural Product Communications

Additional file 1: Fig S1. The cystic portion’s cyst wall was lined by epithelium of gastric and surrounded by smooth muscle (hematoxylin and eosin [H&E] stain, ×10).

Supplementary Material 1

Supplementary Material 2

Supplementary Material 3

Additional file 1: Figure S1. (A) Differential gene expression between liver cancer and the control tissues in the GSE14520 dataset was analyzed, with the patterns of differential gene expression (adjusted P < 0.05, ∣logFC∣≥ 0.5) being organized into a heat map. (B) Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis of DEGs of tumor samples with normal ones. (C) YAP IHC staining in liver cancer patient samples. Representative YAP-stained images...

Additional file 1: Figure S1. (A) Differential gene expression between liver cancer and the control tissues in the GSE14520 dataset was analyzed, with the patterns of differential gene expression (adjusted P < 0.05, ∣logFC∣≥ 0.5) being organized into a heat map. (B) Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis of DEGs of tumor samples with normal ones. (C) YAP IHC staining in liver cancer patient samples. Representative YAP-stained images...

Additional file 5: Figure S5. Genes in central carbon metabolism pathway of YAP high expression group on KEGG graph rendered by pathview. Gene expression levels are indicated as significantly higher (red), unchanged (gray), or lower (green).

Additional file 7: Figure S7. (A) Volcano plot of RNA-seq data from GEO database with SLC2A1 being marked out. (B) Box plot exhibits the distinct expression of SLC2A1 in the normal and the tumor samples, with the blue box being the representative of the tumor samples and the red box of the normal samples. (C) Kaplan–Meier analysis displaying survival for liver cancer patients stratified by expression levels of SLC2A1 (P = 3.7×10-6). (D) Western blotting...

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.

Supplemental material, sj-tif-7-npx-10.1177_1934578X221130874 for Cryptotanshinone From Salvia miltiorrhiza Inhibits the Growth of Tumors and Enhances the Efficacy of Chemotherapy in a Gastric Cancer Mouse Model by Wenkai Wu, Yezhi Cao, Ling Cheng, Linghu Wang, Qingsheng Yu, Hui Peng, Fuhai Zhou, Haiwei Liu and Qi Zhang in Natural Product Communications