Non-small-cell lung carcinoma (NSCLC) is the most common type of lung cancer. Circular RNA ZFR (circZFR) is an identified circular RNA (circRNA) that is correlated with cancer progression. However, the role of circZFR in NSCLC remains unknown. In the present study, we aimed to investigate the function of circZFR in NSCLC and the underlying mechanism. The expression patterns of circZFR were determined using qRT-PCR in NSCLC samples and cell lines. The subcellular distribution of circZFR...

Non-small-cell lung carcinoma (NSCLC) is the most common type of lung cancer. Circular RNA ZFR (circZFR) is an identified circular RNA (circRNA) that is correlated with cancer progression. However, the role of circZFR in NSCLC remains unknown. In the present study, we aimed to investigate the function of circZFR in NSCLC and the underlying mechanism. The expression patterns of circZFR were determined using qRT-PCR in NSCLC samples and cell lines. The subcellular distribution of circZFR...

Background: The immunosuppression and immune dysregulation that follows severe injury includes type 2 immune responses manifested by elevations in interleukin (IL) 4, IL5, and IL13 early after injury. We hypothesized that IL33, an alarmin released early after tissue injury and a known regulator of type 2 immunity, contributes to the early type 2 immune responses after systemic injury. Methods and findings: Blunt trauma patients admitted to the trauma intensive care unit of a level I...

Additional file 4. Differentially metabolic substance data.

Additional file 4. Differentially metabolic substance data.

Additional file 1: Fig. S1. A, B RT-qPCR and Western blot analysis of the expression of CXCR7 at mRNA and protein levels in CRC cells. Fig. S2. Transwell assay was performed in HCT116CXCR7 and SW620CXCR7 cells compared with controls. Migrating cells were quantified. **P < 0.01. ***P < 0.001. Fig. S3. The correlations of CXCR7 (ACKR3) with ZEB1 and SNAI1 were determined in CRC tissues by Gene Expression Profiling Interactive Analysis (GEPIA). Fig. S4. A,...

Additional file 1: Fig. S1. A, B RT-qPCR and Western blot analysis of the expression of CXCR7 at mRNA and protein levels in CRC cells. Fig. S2. Transwell assay was performed in HCT116CXCR7 and SW620CXCR7 cells compared with controls. Migrating cells were quantified. **P < 0.01. ***P < 0.001. Fig. S3. The correlations of CXCR7 (ACKR3) with ZEB1 and SNAI1 were determined in CRC tissues by Gene Expression Profiling Interactive Analysis (GEPIA). Fig. S4. A,...

Additional file 6. Individual data values. Raw data of Fig. 3A,B,F,G,7C and 7I.

Additional file 3: Table S3. GO Gene Ontology analysis of co-expressed protein-coding genes with all candidate lncRNAs.

Additional file 2: Additional Tables 1-5.

Additional file 9: Table S8. Genomic and proteomic data of the predominant Nautiliaceae and Thiomicrorhabdus MAGs used for metabolic modules reconstruction.

Additional file 9: Table S8. Genomic and proteomic data of the predominant Nautiliaceae and Thiomicrorhabdus MAGs used for metabolic modules reconstruction.

Additional file 3: Table S3. Codon-based tests for selection on Pvs230 in China–Myanmar border and Myanmar isolates.

Accumulating evidence has unfolded the significance of extracellular vesicles (EVs) in diseases and cancers. Here, we attempted to discuss the role of cancer-associated fibroblasts (CAFs)-derived EVs containing miR-199a-5p in gastric tumorigenesis. Upregulated miR-199a-5p was first identified in cancer cells. Then, we selected CAFs for isolation of EVs which were co-cultured with AGS cells. We observed successful delivery of miR-199a-5p via CAF-derived EVs. Besides, miR-199a-5p promoted malignant properties of AGS cells. Moreover, miR-199a-5p downregulated FKBP5, leading...

Additional file 1: Table S1. The specific risk score and risk level group for each patient with ESCC.

Additional file 2: Table S2. Median survival times for the high- and low- risk groups ESCC patients of survival curves stratified by these clinical characteristics in the training, testing, and entire sets.

Additional file 4: Table S3.qPCR results of gDNA after DNase treatment. (recording data values of Additional file 1: Fig. S6B).

Additional file 5: Table S4.Normalized abundance of marker genes in each GC cell type. (recording data values of Additional file 1: Fig. S7D).

Additional file 5: Supplemental Table 3. Detailed specification for omnibus and per-feature differential abundance testing models.

Additional file 6: Supplemental Table 4. Per-study and meta-analytically aggregated effect sizes of per-feature differential abundance tests performed.

Additional file 6: Supplemental Table 4. Per-study and meta-analytically aggregated effect sizes of per-feature differential abundance tests performed.

Additional file 7: Supplemental Table 5. Per-study and meta-analytically aggregated effect sizes of tests on per-feature abundance associated with disease phenotypic severity.

Additional file 9: Supplemental Table 7. Consensus loadings for the two identified continuous scores characterizing the IBD gut microbiome population structure.

Additional file 5.

Additional file 1: Table S1. Ferroptosis-related genes.