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Journal: Translational Oncology
Article Title: AVIL promotes osteosarcoma progression and cisplatin resistance via ARP2/3-mediated DNA damage repair
doi: 10.1016/j.tranon.2025.102654
Figure Lengend Snippet: AVIL interacts with the ARP2/3 Complex and is associated with DNA damage repair pathways in osteosarcoma cells. (A) The volcano plot of RNA-seq on 143b cells treated with OE CTRL or OE AVIL . (B) GO analysis of the biological process pathways. (C) GSEA of the “GO CC DNA repair complex”. (D) Co-IP shows the interaction among AVIL and ARP3. (E-H) RT-qPCR results for relative expression of BRCA1(E), BRCA2 (F), XRCC4 (G), ATM (H).
Article Snippet: Alpha tubulin polyclonal antibody (No. 14,555–1-AP), AVIL polyclonal antibody (No. 20,956–1-AP), and
Techniques: RNA Sequencing, Co-Immunoprecipitation Assay, Quantitative RT-PCR, Expressing
Journal: Translational Oncology
Article Title: AVIL promotes osteosarcoma progression and cisplatin resistance via ARP2/3-mediated DNA damage repair
doi: 10.1016/j.tranon.2025.102654
Figure Lengend Snippet: AVIL promotes osteosarcoma progression and cisplatin resistance through interaction with the ARP2/3 complex. (A) The wound-healing assay (scale bar: 100 μm). (B) Quantification of wound-healing assay. (C) The half maximal inhibitory concentration (IC50) of cisplatin of 143b cells. (D) The comet assay indicates DNA damage (scale bar: 50 μm). (E) Analysis of phosphorylated H2A histone family member X (γ-H2AX) with 5 μM cisplatin (scale bar: 200 μm). (F) Ratio of γ-H2AX positive cell.
Article Snippet: Alpha tubulin polyclonal antibody (No. 14,555–1-AP), AVIL polyclonal antibody (No. 20,956–1-AP), and
Techniques: Wound Healing Assay, Concentration Assay, Single Cell Gel Electrophoresis
Journal: Medicine
Article Title: Expression of ACTR3 in cervical cancer and impact on immune cell infiltration and prognosis: A comprehensive analysis based on bulk RNA-Seq and single-cell RNA-Seq
doi: 10.1097/MD.0000000000046316
Figure Lengend Snippet: The expression of ACTR3 is notably elevated in various cancers, including CESC. (A) The relationship between the expression levels of ACTR3 and OS in patients with various cancer types was assessed through univariate Cox regression analysis. (B) The radar chart depicts the expression levels of ACTR3 in tumor tissues. (C) A heatmap analysis was conducted to evaluate the correlation between the expression levels of ACTR3 and OS in patients with various cancer types. (D) The expression levels of ACTR3 in various human cancer tissues were analyzed in comparison to those in normal tissues, utilizing data sourced from the TCGA and GTEx databases. GTEx = genotype-tissue expression, OS = overall survival, TCGA = The Cancer Genome Atlas.
Article Snippet: Subsequently, the sections were exposed to primary antibodies, specifically
Techniques: Expressing, Comparison
Journal: Medicine
Article Title: Expression of ACTR3 in cervical cancer and impact on immune cell infiltration and prognosis: A comprehensive analysis based on bulk RNA-Seq and single-cell RNA-Seq
doi: 10.1097/MD.0000000000046316
Figure Lengend Snippet: Expression of ACTR3-related genes and their prognostic significance. (A) A schematic representation illustrating the relationships among ACTR3 and several proteins obtained from the STRING database. (B) The forest plot illustrates the significance of genes associated with ACTR3 in terms of their predictive value. (C) The comparison of mRNA expression levels of ACTR3-related genes was conducted between normal tissues and tumor tissues.
Article Snippet: Subsequently, the sections were exposed to primary antibodies, specifically
Techniques: Expressing, Comparison
Journal: Medicine
Article Title: Expression of ACTR3 in cervical cancer and impact on immune cell infiltration and prognosis: A comprehensive analysis based on bulk RNA-Seq and single-cell RNA-Seq
doi: 10.1097/MD.0000000000046316
Figure Lengend Snippet: Analysis of functional enrichment concerning DEGs predicated on the expression levels of ACTR3. (A–C) The GO enrichment analysis conducted on DEGs associated with ACTR3 identified significant enrichment in various biological processes, cellular components, and molecular functions. (D) An analysis of KEGG pathway enrichment pertaining to ACTR3 in CESC was conducted. (E–F) The grid chart presents the results obtained from the GO and KEGG analyses. CESC = cervical squamous cell carcinoma and endocervical adenocarcinoma, DEGs = differential expressed genes, GO = gene ontology, KEGG = Kyoto Encyclopedia of Genes and Genomes.
Article Snippet: Subsequently, the sections were exposed to primary antibodies, specifically
Techniques: Functional Assay, Expressing
Journal: Medicine
Article Title: Expression of ACTR3 in cervical cancer and impact on immune cell infiltration and prognosis: A comprehensive analysis based on bulk RNA-Seq and single-cell RNA-Seq
doi: 10.1097/MD.0000000000046316
Figure Lengend Snippet: GSEA enrichment analysis of ACTR3. (A) The heat maps illustrate the ten genes that exhibit a positive co-expression relationship with ACTR3. (B) The heat maps illustrate the ten genes that exhibit a negative co-expression relationship with ACTR3. (C) The results obtained from GSEA are illustrated using mountain plots. (D–G) An examination of the functional roles and pathway enrichment related to ACTR3 is provided. GSEA = gene set enrichment analysis.
Article Snippet: Subsequently, the sections were exposed to primary antibodies, specifically
Techniques: Expressing, Functional Assay
Journal: Medicine
Article Title: Expression of ACTR3 in cervical cancer and impact on immune cell infiltration and prognosis: A comprehensive analysis based on bulk RNA-Seq and single-cell RNA-Seq
doi: 10.1097/MD.0000000000046316
Figure Lengend Snippet: The examination of the relationship between the infiltration of immune cells and the expression levels of ACTR3. (A) Spearman correlation analysis was conducted to evaluate the relationship between the infiltration levels of 24 distinct immune cell types and the expression levels of ACTR3. (B–L) A scatter plot illustrating the extent of immune cell infiltration in relation to varying levels of ACTR3 expression. (M) A heatmap depicting the infiltration of immune cells corresponding to different levels of ACTR3 expression.
Article Snippet: Subsequently, the sections were exposed to primary antibodies, specifically
Techniques: Expressing
Journal: Medicine
Article Title: Expression of ACTR3 in cervical cancer and impact on immune cell infiltration and prognosis: A comprehensive analysis based on bulk RNA-Seq and single-cell RNA-Seq
doi: 10.1097/MD.0000000000046316
Figure Lengend Snippet: The influence of ACTR3 expression on prognosis and its diagnostic significance. (A) The relationship between OS and the expression levels of ACTR3 across different clinical subgroups of CESC. (B) Proportion of mortality as risk score values escalated within low and high-risk groups. (C) Time-dependent survival ROC curves were generated to estimate the survival probabilities at 1-, 3-, and 5-yr intervals for patients diagnosed with CESC, utilizing the expression levels of ACTR3 as the predictive variable. (D) A nomogram was constructed to forecast the OS rates at 1, 3, and 5 yr for individuals diagnosed with CESC. CESC = cervical squamous cell carcinoma and endocervical adenocarcinoma, OS = overall survival, ROC = receiver operating characteristic.
Article Snippet: Subsequently, the sections were exposed to primary antibodies, specifically
Techniques: Expressing, Diagnostic Assay, Generated, Construct
Journal: Medicine
Article Title: Expression of ACTR3 in cervical cancer and impact on immune cell infiltration and prognosis: A comprehensive analysis based on bulk RNA-Seq and single-cell RNA-Seq
doi: 10.1097/MD.0000000000046316
Figure Lengend Snippet: Association between ACTR3 expression and clinical features. (A–G) The correlation between ACTR3 expression and multiple clinical parameters – such as the T stage, N stage, M stage, OS events, DSS events, PFI events, and histological type – have been explored. (H–J) Calibration plots were generated to assess the accuracy of predictions for OS at 1-, 3-, and 5-yr intervals. (K) A nomogram has been developed to forecast the 1-, 3-, and 5-yr OS rates in patients diagnosed with CESC. CESC = cervical squamous cell carcinoma and endocervical adenocarcinoma, DSS = disease-specific survival, OS = overall survival, PFI = progression-free interval.
Article Snippet: Subsequently, the sections were exposed to primary antibodies, specifically
Techniques: Expressing, Generated
Journal: Medicine
Article Title: Expression of ACTR3 in cervical cancer and impact on immune cell infiltration and prognosis: A comprehensive analysis based on bulk RNA-Seq and single-cell RNA-Seq
doi: 10.1097/MD.0000000000046316
Figure Lengend Snippet: Analysis of single-cell RNA sequencing data from CESC tissues. (A and B) The bar chart, together with the stacked bar chart, depicts the cellular quantities observed in both the control group and the tumor group. (C and D) The allocation of various cell types among the control and tumor groups. (E) The PCA, t-SNE, and UMAP techniques were employed to visualize the 18 unique cellular clusters. (F, G) The clusters received further annotation through the use of designated marker genes. (H) The UMAP visualization illustrates the expression levels of ACTR3 distributed among various cell clusters. (I) Violin plots illustrating the expression levels of ACTR3 across all recognized cell types. (J) The expression of ACTR3 across all recognized cell types. CESC = cervical squamous cell carcinoma and endocervical adenocarcinoma.
Article Snippet: Subsequently, the sections were exposed to primary antibodies, specifically
Techniques: RNA Sequencing, Control, Marker, Expressing
Journal: Medicine
Article Title: Expression of ACTR3 in cervical cancer and impact on immune cell infiltration and prognosis: A comprehensive analysis based on bulk RNA-Seq and single-cell RNA-Seq
doi: 10.1097/MD.0000000000046316
Figure Lengend Snippet: Validation of ACTR3 expression in clinical specimens from patients diagnosed with CESC. (A) The protein expression levels of ACTR3, KI67, and CK7 were found to be significantly higher in CESC compared to those in normal tissue samples. (B) Statistical analysis of ACTR3, KI67, and CK7 positive cells. CESC = cervical squamous cell carcinoma and endocervical adenocarcinoma.
Article Snippet: Subsequently, the sections were exposed to primary antibodies, specifically
Techniques: Biomarker Discovery, Expressing
Journal: bioRxiv
Article Title: Brush border intermicrovillar adhesion limits bacteria attachment to the small intestine brush border
doi: 10.1101/2025.11.25.690363
Figure Lengend Snippet: (A) Single confocal plane at the villus surface of Cdhr2 Δepi mouse ileum whole mount tissue stained with DAPI (DNA). Boxed areas enlarged (zooms 1-3) with additional stains DAPI (DNA), phalloidin (F-actin), EPS8, and F-actin/EPS8 overlay. Adherent bacteria marked with a transparent overlay (yellow, single bacteria; blue, filaments). White arrowheads highlight EPS8 localization in enterocytes (zoom 1). Teardrop-shaped bacteria indicated by black arrowheads (zooms 1-2). (B) Cdhr2 Δepi mouse ileum frozen tissue section stained with DAPI (DNA), deconvolved, AI segmented to isolate and differentially contrast bacterial DNA and viewed as a maxIP (depth 12.6 µm). The bacteria channel is z-depth color-coded; closer bacteria purple/magenta, deeper bacteria yellow/white, z-depth color-code at right. DNA from cell nuclei (cyan/blue). Boxed areas enlarged below (zooms 1-3) with the box color indicating the z-depth of the zoom images. (B, zoom 1) IRTKS localization in the enterocyte brush border. (B, zooms 2-3) highlights adherent bacteria. Column 1 is the main image panel enlarged (maxIP, depth 12.6 µm). Subsequent columns 2-4 show additional stains phalloidin (F-actin), IRTKS, and F-actin/IRTKS overlay as a maxIP (depth 0.3 µm). White boxed areas within zoom images (columns 2-4) are contrast enhanced and shown as insets (upper left) with bacteria localization indicated by ovals (yellow, single bacteria; blue, filaments). (C-E) Single confocal planes at the villus surface of Cdhr2 Δepi mouse ileum whole mount tissue stained with DAPI (DNA). Boxed areas (zooms 1-2) enlarged at right. DAPI (DNA) and phalloidin (F-actin) are shown in all sets plus Villin (VIL1, C), F-actin/VIL1 (C), Espin (ESPN, D), and Arp3 (ACRT3, E). (C, zoom 1), black arrowheads indicate a filamentous attachment with eccentric VIL1 localization. (F) Cdhr2 Δepi mouse ileum paraffin tissue section stained for DAPI (DNA) and actin, deconvolved, and viewed as a maxIP (depth 10.4 µm). A z-depth color-code is applied to each channel, scales lower right. DNA AI segmented to isolate bacteria, cell nuclei are not displayed. Boxed areas enlarged at right (zooms 1-3). Column 1, bacteria/actin maxIP (depth 10.4 µm) enlarged from the main panel. Column 2, intensity color-coded SFB FISH (SFB) maxIP (depth 10.4 µm), intensity scale at right). Boxed areas in zoom 1 further enlarged in zoom 4. Z-depth indicated by box color, based on the main panel bacteria z-depth color-code. (F, zoom 4) Single confocal plane of surface bacteria with additional stains; DAPI (DNA) without AI segmentation, SFB FISH (SFB) intensity color-coded, actin/EPS8 overlay, and actin/EPS8 plus DNA overlay. White arrowheads indicate SFB FISH negative bacteria. (G) SEM images of Cdhr2 Δepi mouse terminal ileum. Boxed areas enlarged in zooms 1-4 to highlight adherent bacteria (yellow, single bacteria; blue, filaments). (G, zooms 1, 3) single bacteria. (G, zooms 2, 4), filamentous bacteria with elongated microvilli at the base. Scale bars: 20 µm (A-F, main panels), (B, F) z-depth color-code tick marks at 1 µm intervals, 5 µm (A-F zooms 1-3), 2.9 µm (B, zoom 1-3, insets), 1 µm (F, zoom 4), 10 µm (G, main panel), 2 µm (G, zooms 1-4).
Article Snippet: The following antibodies and dilutions were used for whole mount staining: anti-EPS8 (mouse BD Transduction Laboratories #610144), 1:400; anti-Villin (rabbit, Santa Cruz #sc-28283), 1:50; anti-ESPN (rabbit, Sigma-Aldrich #HPA028674), 1:500;
Techniques: Staining, Bacteria