Journal: Molecular Therapy Oncology

Article Title: Engineered Salmonella -mediated c-di-AMP delivery activates STING to remodel the tumor microenvironment

doi: 10.1016/j.omton.2026.201185

Figure Lengend Snippet: Effect of SL disA therapy on T cells and macrophage from tumor samples (A, B) Flow Cytometry analysis of CD3 and CD8 surface markers(A) and CD3 + CD8 + cells statistical graph (B). (C, D) Flow cytometry analysis of CD3 and CD4 surface markers (C) and CD3 + CD4 + cells statistical graph (D). (E, F) Flow cytometry analysis of F4/80 and CD86 surface markers (E) and F4/80 + CD86 + cells statistical graph (F). Data are expressed as mean ± SEM, n = 3. ∗ p < 0.05, ∗∗ p < 0.01, ∗∗∗ p < 0.001, ∗∗∗∗ p < 0.0001, one-way ANOVA with Tukey’s multiple comparisons tests.

Article Snippet: The following antibodies were used: FITC anti-mouse F4/80 (clone CI: A3-1), APC anti-mouse CD86 (clone GL-1), FITC anti-mouse CD3 (clone 17A2), APC anti-mouse CD4 (clone GK1.5), and APC anti-mouse CD8 (clone YTS-169), all purchased from Elabscience Biotechnology Co., Ltd.

Techniques: Flow Cytometry

Journal: iScience

Article Title: Circadian disruption exacerbates MASH by reducing Akkermansia muciniphila via the FXR-CYP7A1-bile acid axis

doi: 10.1016/j.isci.2026.115397

Figure Lengend Snippet: Circadian disruption promotes inflammation, lipid accumulation, and fibrosis in MASH mice (A) The relative mRNA expression of lipid-metabolism-related genes ( Srebp , Fasn , and Acaca ), inflammation-related genes ( Cxcl2 , Ccl2 , and Nos2 ), and fibrosis-related genes ( Col3a1 , Col4a1 , and α-Sma ) in MASH with or without circadian disruption, n = 6. (B) Flow cytometry analysis of the abundance of macrophages (CD11b + F4/80 + ), M1 cells (CD86 + CD206 − ), and M2 cells (CD86 − CD206 + ) in the liver in each group, n = 6. (C) Comparison of M1/M2 polarization in the liver in each group by CD86/CD206 detected by immunohistochemistry. Scale bars: 100 μm (10×). (D) Serum IL-6, IL-1β, and TNF-α in each group, n = 6. (E) The relative expression level of the oxidative stress indicator ROS, the content of GSH, and the relative mRNA expression level of Hif-1α related to them in each group, n = 6. (F) The total number of genes detected by liver transcriptomics, as well as the number of genes that are relatively upregulated and downregulated in the two groups. (G) NMDS plot of the main components of liver transcriptomics in each group, n = 4. (H) Reactome analysis results (barplot) of liver transcriptomics in the two groups. (I) Reactome analysis results (dotplot) of liver transcriptomics in the two groups. Data are expressed as mean ± SD ( n = 4–6), ∗ p < 0.05, ∗∗ p < 0.01, ∗∗∗ p < 0.001, ∗∗∗∗ p < 0.0001, compared with the MASH group. p values were calculated using unpaired t test. Srebp , sterol regulatory element-binding protein; Fasn , fatty acid synthase; Acaca , acetyl-CoA carboxylase; Cxcl2 , chemokine (C–X–C motif) ligand 2; Ccl2 , chemokine (C–C motif) ligand 2; Nos2 , nitric oxide synthase 2; Col3a1 , collagen alpha-1 (III) chain; Col4a1 , collagen alpha-1 (IV) chain; α-Sma , α-smooth muscle actin; M1, M1 polarization of macrophages; M2, M2 polarization of macrophages; CD11b, marker of mouse macrophages; F4/80, marker of mouse macrophages; CD86, marker of M1 polarization of mouse macrophages; CD206, marker of M2 polarization of mouse macrophages; IL-6, interleukin-6; IL-1β, interleukin-1 beta; TNF-α, tumor necrosis factor-alpha; ROS, reactive oxygen species; GSH, glutathione; Hif-1α , hypoxia inducible factor-1 alpha; NMDS, non-metric multidimensional scaling.

Article Snippet: Rabbit anti-CD86 antibody , Cell Signaling Technology , Cat# 91882; RRID: AB_2797422.

Techniques: Disruption, Expressing, Flow Cytometry, Comparison, Immunohistochemistry, Transcriptomics, Binding Assay, Marker