Journal: Bioactive Materials

Article Title: Biodegradable Mg 2+ -releasing piezoelectric scaffold for segmental bone defect repair

doi: 10.1016/j.bioactmat.2026.02.017

Figure Lengend Snippet: In vitro evaluation of osteogenic differentiation on Mg 2+ -releasing piezoelectric scaffolds. A) ALP staining of BMSCs cultured with WH Gel and PWH Gel (Scale bar: 1 mm). B) ARS staining of BMSCs cultured with WH Gel and PWH Gel (Scale bar: 1 mm). C-F) RT-qPCR results showing the relative mRNA expression of OPN, RUNX2, OCN, and COL-I in BMSCs cultured with cryogels for 7 days and 14 days. CLSM images showing the expression of (G) OPN, (H) RUNX2, (I) OCN, and (J) COL-I in BMSCs co-cultured with WH Gel and PWH Gel (Scale bar: 50 μm). Data are presented as mean ± S.D. (n = 3 independent replicates). ∗P < 0.05; ∗∗P < 0.01; ∗∗∗P < 0.001; ∗∗∗∗P < 0.0001; NS, not significant.

Article Snippet: Immunohistochemical staining was carried out for COL-I (Proteintech, 28083-1-AP, USA).

Techniques: In Vitro, Staining, Cell Culture, Quantitative RT-PCR, Expressing

Journal: Bioactive Materials

Article Title: Biodegradable Mg 2+ -releasing piezoelectric scaffold for segmental bone defect repair

doi: 10.1016/j.bioactmat.2026.02.017

Figure Lengend Snippet: In vivo assessments of large segmental bone defect regeneration using Mg 2+ -releasing piezoelectric scaffold. A-B) Schematic showing the surgical procedure for scaffold implantation in rat radial defects (Scale bar = 1 cm). C) Macroscopic images of the defect site at 6- and 12- weeks post-implantation. D) RUS scores for radial repair. E) 3D micro-CT images of the defects at 6- and 12- weeks post-implantation (Scale bar = 3 mm). F-G) Quantitative micro-CT analysis of BV/TV and trabecular number (Tb.N) in cryogel-treated regions at 6- and 12- weeks post-implantation. H) Representative H&E and Masson's trichrome staining images of defect tissues at 6- and 12-weeks post-implantation (Scale bar: 1 mm). I) Immunohistochemical staining for COL-I (Scale bar: 1 mm). J) Representative immunofluorescence staining of CD31 (Scale bar: 1 mm). Data are expressed as mean ± S.D. (n = 3 independent replicates). Statistical significance was determined as ∗P < 0.05; ∗∗P < 0.01; ∗∗∗P < 0.001; ∗∗∗∗P < 0.0001; NS, not significant.

Article Snippet: Immunohistochemical staining was carried out for COL-I (Proteintech, 28083-1-AP, USA).

Techniques: In Vivo, Micro-CT, Staining, Immunohistochemical staining, Immunofluorescence

Journal: iScience

Article Title: Insufficient erythrocyte-derived S1P: A pathogenic driver and diagnostic biolipid for tumor progression

doi: 10.1016/j.isci.2026.115216

Figure Lengend Snippet: Enhanced tumor growth, immunosuppression, and inhibited angiogenesis in the eSphk1 −/− tumor-bearing mouse model of HNSCC (A) Schematic representation of the experimental strategy used for the mEER tumor-bearing mouse model. (Created with BioRender.com ). (B) Tumor growth profiles of eSphk1 −/− and control mice in the mEER tumor model. ( N = 6 per group, data are presented as mean ± SD. ∗∗ p < 0.01). (C) Representative images of tumors collected from mEER tumor-bearing mice in each group. (D) Tumor weights in mEER tumor-bearing mice of each group. ( N = 6 per group, data are presented as mean ± SD. ∗∗ p < 0.01). (E) RBC SPHK1 activity in different groups at the end of the experiment. ( N = 6 per group, data are presented as mean ± SD. ∗∗ p < 0.01). (F) P50 expression levels in different groups at the end of the experiment. ( N = 6 per group, data are presented as mean ± SD. ∗ p < 0.05). (G) Blood cell counts (RBC, hemoglobin (Hb), WBC and platelets (PLTs)) in different groups at the end of the experiment. Data are presented as mean ± SD ( N = 5 per group, data are presented as mean ± SD). (H) Flow cytometric analysis shows the percentage of immune cells in the tumor tissue of eSphk1 −/− and control mice at the experimental endpoint. ( N = 4:5, data are presented as mean ± SD. ∗ p < 0.05). (I) Representative fluorescent images of immunostaining for CD31, indicating tumor angiogenesis in tumor tissue of eSphk1 −/− and control group mice under mEER tumor-bearing conditions. Green fluorescence indicates CD31 expression on tumor vasculature. ( N = 3 per group, data are presented as mean ± SD. ∗ p < 0.05). (J) The tumor-bearing model in eSphk1 −/− demonstrates that erythrocyte Sphk1 deficiency promotes tumor progression via mechanisms including immune suppression and reduced angiogenesis. (Statistical analysis: Unpaired two-tailed Student’s t test was used for comparisons in panels D–I).

Article Snippet: To assess microvessel density, tumor sections were stained with an anti-CD31 antibody (Proteintech, 28083-1-AP).

Techniques: Control, Activity Assay, Expressing, Immunostaining, Fluorescence, Two Tailed Test

Journal: iScience

Article Title: Insufficient erythrocyte-derived S1P: A pathogenic driver and diagnostic biolipid for tumor progression

doi: 10.1016/j.isci.2026.115216

Figure Lengend Snippet: Mouse breast cancer model validation shows that changes in erythrocyte S1P affect tumor angiogenesis and promote immune suppression, collectively driving tumor progression (A) Schematic representation of the strategy used to establish the orthotopic breast cancer (Py8119) model in mice. (Created with BioRender.com ). (B) Growth profiles of Py8119 tumors in eSphk1 −/− and control mice. ( N = 6 per group, data are presented as mean ± SD. ∗∗∗∗ p < 0.0001). (C) Representative images of tumors collected from Py8119 tumor-bearing mice in each group. ( N = 5 per group). (D) Tumor weights of Py8119 tumor-bearing mice in each group. ( N = 5 per group, data are presented as mean ± SD. ∗∗ p < 0.01). (E) Erythrocyte Sphk1 activities in different experimental groups at the conclusion of the study. ( N = 5 per group, data are presented as mean ± SD. ∗∗ p < 0.01). (F) Flow cytometric analysis shows the percentage of immune cells in tumor tissues of eSphk1 −/− and control mice at the experimental endpoints. ( N = 4 per group, data are presented as mean ± SD. ∗ p < 0.05). (G) Fluorescent immunostaining images of tumor tissue, stained with anti-CD31 to detect tumor angiogenesis. Green fluorescence indicates CD31 expression on tumor vasculature. ( N = 3 per group, data are presented as mean ± SD. ∗∗ p < 0.01).

Article Snippet: To assess microvessel density, tumor sections were stained with an anti-CD31 antibody (Proteintech, 28083-1-AP).

Techniques: Biomarker Discovery, Control, Immunostaining, Staining, Fluorescence, Expressing

Journal: Translational Oncology

Article Title: Sohlh2 inhibited the angiogenesis of hepatocellular carcinoma through the HIF-1α/VEGFA pathway

doi: 10.1016/j.tranon.2026.102718

Figure Lengend Snippet: The downregulation of the HIF-1α/VEGF pathway in Sohlh2-overexpressing HepG2 and Hep3B cells. Immunofluorescence experiments detected the expression of HIF-1α (A-B) and CD31 (C-D) in HepG2 and Hep3B cells. Magnification: 200 ×; Scale bar: 50 μm. Data were presented as the mean ± standard deviation, and differences between groups were analyzed using one-way analysis of variance, N = 3.

Article Snippet: The primary antibodies used in the study included CD31 (28083-1-AP, Proteintech, 1:200, RRID: AB_2881055) and HIF-1α (1:200, AF1009, Affinity, UK, RRID: AB_2835328).

Techniques: Immunofluorescence, Expressing, Standard Deviation

Journal: Translational Oncology

Article Title: Sohlh2 inhibited the angiogenesis of hepatocellular carcinoma through the HIF-1α/VEGFA pathway

doi: 10.1016/j.tranon.2026.102718

Figure Lengend Snippet: Overexpression Sohlh2 inhibited cell proliferation and angiogenesis of HCC through the downregulation of the HIF-1α/VEGF pathway. (A-B) CCK8 assay of HepG2 and Hep3B cells. (C-D) Angiogenesis was evaluated using tube formation assay. Immunofluorescence experiments detected the expression of HIF-1α (E-F) and CD31 (G-H) in HepG2 and Hep3B cells. Western blot was used to determine the HIF-1α and VEGFA proteins in HepG2 (I) and Hep3B (J) cells. The protein bands were analyzed by Image J software. Magnification: 200 ×; Scale bar: 50 μm. Data were presented as the mean ± standard deviation, and differences between groups were analyzed using one-way analysis of variance, N=3.

Article Snippet: The primary antibodies used in the study included CD31 (28083-1-AP, Proteintech, 1:200, RRID: AB_2881055) and HIF-1α (1:200, AF1009, Affinity, UK, RRID: AB_2835328).

Techniques: Over Expression, CCK-8 Assay, Tube Formation Assay, Immunofluorescence, Expressing, Western Blot, Software, Standard Deviation

Journal: Translational Oncology

Article Title: Sohlh2 inhibited the angiogenesis of hepatocellular carcinoma through the HIF-1α/VEGFA pathway

doi: 10.1016/j.tranon.2026.102718

Figure Lengend Snippet: Sohlh2 inhibited the growth of Hep3B tumors in xenograft nude mice. (A) Tumor images. (B) Tumor size. (C) Mice weight. (D) Tumor weight. Immunofluorescence detection of CD31 (E) and HIF-1α (F) expression in tumor tissues. (G) Some proteins (Sohlh2, HIF-1α, VEGFA) in tumor tissues were measured by Western blot. These proteins were quantified by Image J software. Magnification: 200 ×; Scale bar: 50 μm. Data were presented as the mean ± standard deviation, and differences between groups were analyzed using one-way analysis of variance, N = 5.

Article Snippet: The primary antibodies used in the study included CD31 (28083-1-AP, Proteintech, 1:200, RRID: AB_2881055) and HIF-1α (1:200, AF1009, Affinity, UK, RRID: AB_2835328).

Techniques: Immunofluorescence, Expressing, Western Blot, Software, Standard Deviation