Staphylococcus aureus (S. aureus), especially methicillin-resistant Staphylococcus aureus (MRSA), is a major cause of pneumonia, resulting in severe morbidity and mortality in adults and children. Sortase A (SrtA), which mediates the anchoring of cell surface proteins in the cell wall, is an important virulence factor of S. aureus. Here, we found that salvianolic acid A (Sal A), which is a natural product that does not affect the growth of S. aureus, could inhibit SrtA activity...

Staphylococcus aureus (S. aureus), especially methicillin-resistant Staphylococcus aureus (MRSA), is a major cause of pneumonia, resulting in severe morbidity and mortality in adults and children. Sortase A (SrtA), which mediates the anchoring of cell surface proteins in the cell wall, is an important virulence factor of S. aureus. Here, we found that salvianolic acid A (Sal A), which is a natural product that does not affect the growth of S. aureus, could inhibit SrtA activity...

To identify the association between the kinetics of viral load and clinical outcome in severe coronavirus disease 2019 (COVID-19) patients, a retrospective study was performed by involved 188 hospitalized severe COVID-19 patients in the LOTUS China trial. Among the collected 578 paired throat swab (TS) and anal swab (AS) samples, viral RNA was detected in 193 (33.4%) TS and 121 (20.9%) AS. A higher viral RNA load was found in TS than that of AS,...

The dysregulated circular RNAs (circRNAs) are linked to progression and chemoresistance in colorectal cancer (CRC). However, the role of circRNA protein tyrosine kinase 2 (circPTK2) in CRC progression and chemoresistance is uncertain. The circPTK2, microRNA (miR)-136-5p, m6A ‘reader’ protein YTH domain family protein 1 (YTHDF1), β-catenin and cyclin D1 abundances were examined via quantitative reverse transcription PCR or Western blotting. The progression was investigated by cell counting kit-8 (CCK-8), colony formation, transwell and xenograft analysis....

Additional file 2: Supplementary Fig. 2. The representative images of Fig. 4D (A), 4E (B), 4F (C), 4G (D) and 4H (E).

TableS1. Clinical data of ovarian cancer patients from TCGA and ICGC.
TableS2.Identified DNA driver methylation (DNAme) in TCGA, ICGC and GSE146556.
TableS3. The correlation between DNAme and corresponding mRNA expression in TCGA, ICGC and GSE146556. TableS4.Analysis of pathway enrichment (KEGG) and Gene Ontology (GO) of DNAme-associated mRNA in TCGA.
TableS5. Univariate Cox regression analysis of DNAme-associated mRNA. (P < 0.05)
TableS6. Analysis of pathway enrichment (KEGG) and Gene Ontology (GO) of...

Additional file 6. Infiltration of gene expression, overall survival, mutation profile and the comparison of tumor infiltration levels in m6A-related genes with different somatic copy number alterations for LUAD and LUSC in TIMER2.0.

Additional file 7. Infiltration of gene expression, overall survival, mutation profile and the comparison of tumor infiltration levels in m6A-related genes with different somatic copy number alterations for LUAD and LUSC in TIMER2.0.

Additional file 8. The heatmap of correlation between the immune characteristics and the four hub DEMGs in LUAD and LUSC from TISID.

Additional file 10. Overall survival analysis of HPA and validation of gene expressions of 4 hub DEMGs from GSCALite.

Additional file 1. The workflow and study design of the analysis steps.

Additional file 2. Summary of the LC mutation information and the 10 DEMGs mutation information as well as CNV analysis of m6A-related genes in LC (GSCALite).

Additional file 3. The cluster of LC cancer based on m6A-related genes.

Additional file 3. The cluster of LC cancer based on m6A-related genes.

Additional file 3: Figure S1. (A, D, G) The heat map of 10 prognostic DEOSG expressions in the train (A), testing (D), and entire sets (G), respectively. (B, E, H) The comparison of 10 prognostic DEOSG expressions between high- and low-risk groups in the training (B), testing (E), and entire sets (H), respectively. (C, F, I) The correlations among 10 prognostic DEOSG between high- and low-risk groups in the training (C), testing (F), and entire...

Additional file 6: Figure S2. The Kaplan‑Meier curve of the nine hub genes in predict patients overall survival.

Additional file 8: Figure S4. The overexpression of MYOCD indicated better overall survival in (A) breast cancer, (B) ovarian cancer and (C) lung cancer. Contracting survival outcomes can be observed in (D) gastric cancer. Data from KM-plotter.

Additional file 1: Figure S1. Tumor-infiltrating immune cells in different risk subgroups. A The abundance of 21 immune cells between high- and low-risk groups. B Differences in fractions of tumor-infiltrating immune cells between two risk subgroups.

Additional file 1: Figure S1. Tumor-infiltrating immune cells in different risk subgroups. A The abundance of 21 immune cells between high- and low-risk groups. B Differences in fractions of tumor-infiltrating immune cells between two risk subgroups.

Additional file 2: Figure S2. The diagnostic values of 9 eRNAs for THCA patients.

Additional file 3: Fig. S2. A The expression levels of CEBPA-DT in different hepatoma cell lines measured by RT-qPCR. B Subcellular location of CEBPA-DT in indicated Huh7 cells examined by subcellular RNA fractionations and RT-qPCR analysis, β-actin and U3 were used as cytoplasmic and nuclear endogenous control, respectively. C The expression levels of CEBPA-DT in HCCLM9 and SNU-449 cells transfected with control siRNA or siRNA against CEBPA-DT. D qPCR quantification of the expression levels of...

Additional file 8: Fig. S7. A-B Subgroup analyses showed prognostic value of CEBPA-DT for overall survival (top) and recurrence-free survival (bottom) in HCC patients with differential features.

Additional file 8: Fig. S7. A-B Subgroup analyses showed prognostic value of CEBPA-DT for overall survival (top) and recurrence-free survival (bottom) in HCC patients with differential features.

Low meat performance is the defect of Small Tail Han sheep. Intramuscular fat affects meat quality and largely determined by adipogenesis. In previous study, miR136 was showed one of differentially expressed microRNAs between preadipocytes and mature adipocytes of Small Tail Han sheep but its role in adipogenesis is still not elucidated. Here, we investigated the effect of miR136 on adipogenesis and the underlying mechanism. qPCR data showed that miR136 level increased with preadipocytes proliferation while...

Additional file 2: Fig. S2. The number and rough ratio of incidence, prevalence, death and dalys in men and women worlwide from 1990 TO 2019.