Journal: Biology Direct

Article Title: hsa_circ_0020093 suppresses ovarian cancer progression by modulating LRPPRC activity and miR-107/LATS2 signaling

doi: 10.1186/s13062-024-00520-y

Figure Lengend Snippet: hsa_circ_0020093 acts as miR-107 sponge to regulate LATS2 expression. A AGO2 RIP assay was executed in SKOV3 cells. B Venn diagram of the predicted target miRNAs of hsa_circ_0020093 identified from GSE47481, TargetScan, RegRNA and Starbase. C Differential expression of overlapped miRNAs across normal and high-grade serous ovarian cancer (HGSOC) samples in GSE47841. D Schematic illustration of hsa_circ_0020093-WT and hsa_circ_0020093-MUT luciferase reporter vectors. E-F The relative luciferase activities were detected in 293 T cells after co-transfection with hsa_circ_0020093-WT or hsa_circ_0020093-MUT and mimics or miRNC, respectively. G Venn diagram of the predicted target genes of miR-107 identified from RNA-seq data and three tools (TargetScan, miRTarbase, miRDB). H RT-qPCR detection of the expression of upregulated mRNAs in hsa_circ_0020093-overexpressed OC cells. I Western blot analysis of LATS2 protein level after hsa_circ_0020093 overexpression in OC cells. J Western blot analysis of LATS2 protein level after co-transfection of hsa_circ_0020093 or control and miR-107 or miRNC, respectively, in OC cells. P values were calculated by two-tailed Student’s t test. ns, not significant; * P < 0.05; ** P < 0.01; *** P < 0.001

Article Snippet: The miRNA microarray dataset GSE47841 was applied to analyze differentially expressed miRNAs between OC tissues and normal ovary tissues using dbDEMC database ( https://www.biosino.org/dbDEMC/index ).

Techniques: Expressing, Quantitative Proteomics, Luciferase, Cotransfection, RNA Sequencing, Quantitative RT-PCR, Western Blot, Over Expression, Control, Two Tailed Test

Journal: BMC Cancer

Article Title: Landscape of cancer associated EpCAM mutations: molecular modeling, predictive insights and impact on patient survival

doi: 10.1186/s12885-025-14455-8

Figure Lengend Snippet: EpCAM expression is predominantly observed in epithelial cells and related tissues. A - B , RNA and protein expression levels of EpCAM, based on data from Protein Atlas ( www.proteinatlas.org ), and GTEx Portal ( https://gtexportal.org/ ) are shown, with expression ranked from high to low. C EpCAM expression is elevated in tumor tissues compared to normal tissues, as analyzed using two independent tumor-normal paired datasets: GSE18842 and HSE1007. D Analysis of EpCAM expression across different stages of NSCLC and in relation to EGFR, KRAS, and ALK oncogenic alterations. Microarray datasets GSE43580 and GSE31210 were normalized and visualized using GraphPad. These results highlight that EpCAM expression is largely confined to normal epithelial tissues, including the gastrointestinal tract, thyroid, kidney, pancreas, breast, and lung, and is significantly upregulated in cancer tissues

Article Snippet: Microarray datasets GSE43580 and GSE31210 were normalized and visualized using GraphPad.

Techniques: Expressing, Microarray