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mmp3  (Elabscience Biotechnology)


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    Structured Review

    Elabscience Biotechnology mmp3
    Integrated network pharmacology and molecular docking analysis of candidate compounds and targets. ( A ) A Venn diagram illustrates the intersection of differentially expressed genes from the GSE178557 dataset with disease-related genes from GeneCards and drug-target genes from DrugBank. ( B ) The PPI network of overlapping targets was generated to visualize functional associations. Central nodes (red) indicate core hub genes identified based on degree centrality and connectivity. ( C ) A Sankey diagram correlates specific target genes ( left ) with their respective enriched KEGG biological pathways ( right ). Connectivity indicates involvement in signaling cascades such as the AGE-RAGE, TGF-beta, and IL-17 signaling pathways. ( D ) Representative 3D docking poses demonstrate the binding orientations and intermolecular interactions between active compounds (bavachinin, hederagenin, and myricanone) and primary protein targets (FN1, <t>MMP3,</t> and TGF-β). ( E ) A heatmap displays the molecular docking scores (binding energy, kcal/mol) for the interaction between candidate compounds and hub targets. Color intensity and numerical values represent the predicted binding stability.
    Mmp3, supplied by Elabscience Biotechnology, used in various techniques. Bioz Stars score: 94/100, based on 6 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/mmp3/product/Elabscience Biotechnology
    Average 94 stars, based on 6 article reviews
    mmp3 - by Bioz Stars, 2026-06
    94/100 stars

    Images

    1) Product Images from "Biluo Qianyuan Formula Ameliorates Post-Traumatic Osteoarthritis by Suppressing FN1-Mediated Synovial Inflammation and Restoring Joint Homeostasis"

    Article Title: Biluo Qianyuan Formula Ameliorates Post-Traumatic Osteoarthritis by Suppressing FN1-Mediated Synovial Inflammation and Restoring Joint Homeostasis

    Journal: Pharmaceuticals

    doi: 10.3390/ph19030500

    Integrated network pharmacology and molecular docking analysis of candidate compounds and targets. ( A ) A Venn diagram illustrates the intersection of differentially expressed genes from the GSE178557 dataset with disease-related genes from GeneCards and drug-target genes from DrugBank. ( B ) The PPI network of overlapping targets was generated to visualize functional associations. Central nodes (red) indicate core hub genes identified based on degree centrality and connectivity. ( C ) A Sankey diagram correlates specific target genes ( left ) with their respective enriched KEGG biological pathways ( right ). Connectivity indicates involvement in signaling cascades such as the AGE-RAGE, TGF-beta, and IL-17 signaling pathways. ( D ) Representative 3D docking poses demonstrate the binding orientations and intermolecular interactions between active compounds (bavachinin, hederagenin, and myricanone) and primary protein targets (FN1, MMP3, and TGF-β). ( E ) A heatmap displays the molecular docking scores (binding energy, kcal/mol) for the interaction between candidate compounds and hub targets. Color intensity and numerical values represent the predicted binding stability.
    Figure Legend Snippet: Integrated network pharmacology and molecular docking analysis of candidate compounds and targets. ( A ) A Venn diagram illustrates the intersection of differentially expressed genes from the GSE178557 dataset with disease-related genes from GeneCards and drug-target genes from DrugBank. ( B ) The PPI network of overlapping targets was generated to visualize functional associations. Central nodes (red) indicate core hub genes identified based on degree centrality and connectivity. ( C ) A Sankey diagram correlates specific target genes ( left ) with their respective enriched KEGG biological pathways ( right ). Connectivity indicates involvement in signaling cascades such as the AGE-RAGE, TGF-beta, and IL-17 signaling pathways. ( D ) Representative 3D docking poses demonstrate the binding orientations and intermolecular interactions between active compounds (bavachinin, hederagenin, and myricanone) and primary protein targets (FN1, MMP3, and TGF-β). ( E ) A heatmap displays the molecular docking scores (binding energy, kcal/mol) for the interaction between candidate compounds and hub targets. Color intensity and numerical values represent the predicted binding stability.

    Techniques Used: Generated, Functional Assay, Protein-Protein interactions, Binding Assay

    BLQYF attenuates systemic inflammation and FN1-associated responses in PTOA. ( A ) Serum levels of MMP3, TGF-β, and FN1 in sham, PTOA, and PTOA mice treated with BLQYF or celecoxib. ( B ) Representative morphology and vimentin immunofluorescence staining of primary fibroblast-like synoviocytes (FLSs) isolated from synovial tissues of patients with post-traumatic osteoarthritis. Nuclei were counterstained with DAPI. Scale bar = 20 μm. ( C ) qRT–PCR analysis of MMP3 , TGF-β , and FN1 mRNA expression in FLSs from PTOA patients and mesenchymal stem cells (MSCs) from non-osteoarthritic hip arthroplasty donors. ( D ) CCK-8 assay showing MSC viability following BLQYF treatment (0–80 ng/mL, 24 h). ( E ) qRT–PCR analysis of MMP3 , TGF-β , and FN1 expression in FLSs following FN1 knockdown and BLQYF treatment (5, 10, 20 ng/mL, 24 h). Data were presented as mean ± SEM. Statistical significance was determined by one-way ANOVA with appropriate post hoc tests. p < 0.05, p < 0.01, p < 0.001.
    Figure Legend Snippet: BLQYF attenuates systemic inflammation and FN1-associated responses in PTOA. ( A ) Serum levels of MMP3, TGF-β, and FN1 in sham, PTOA, and PTOA mice treated with BLQYF or celecoxib. ( B ) Representative morphology and vimentin immunofluorescence staining of primary fibroblast-like synoviocytes (FLSs) isolated from synovial tissues of patients with post-traumatic osteoarthritis. Nuclei were counterstained with DAPI. Scale bar = 20 μm. ( C ) qRT–PCR analysis of MMP3 , TGF-β , and FN1 mRNA expression in FLSs from PTOA patients and mesenchymal stem cells (MSCs) from non-osteoarthritic hip arthroplasty donors. ( D ) CCK-8 assay showing MSC viability following BLQYF treatment (0–80 ng/mL, 24 h). ( E ) qRT–PCR analysis of MMP3 , TGF-β , and FN1 expression in FLSs following FN1 knockdown and BLQYF treatment (5, 10, 20 ng/mL, 24 h). Data were presented as mean ± SEM. Statistical significance was determined by one-way ANOVA with appropriate post hoc tests. p < 0.05, p < 0.01, p < 0.001.

    Techniques Used: Immunofluorescence, Staining, Isolation, Quantitative RT-PCR, Expressing, CCK-8 Assay, Knockdown



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    Hsa_circ_0101645 accelerating the IVDD process in vivo . A: Diagram of the animal procedure for this study. B: Grouping information for this section. C: Representative X-rays of each group of rats. Statistical graph demonstrating the disc height index (DHI) changes for L4/5 in each group of rats (N = 6) (One-way ANOVA test with Tukey's multiple comparisons test). D: HE staining exhibiting pathological changes of CEP, NP, and AP in IVD in each group of rats (N = 6). Scale bar: 500 μm. E: EdU staining was used to detect cell proliferation in IVD tissues of rats (N = 6) (One-way ANOVA test with Tukey's multiple comparisons test). Scale bar: 50 μm. F: TUNEL (white light) staining exhibiting TUNEL-positive cells in IVD tissues of rats (N = 6) (One-way ANOVA test with Tukey's multiple comparisons test). Scale bar: 50 μm. G: The effect of hsa_circ_0101645 on the protein levels of Collagen Ⅱ, <t>Aggrecan,</t> <t>MMP-3</t> and MMP-13 in IVD was observed by IHC staining (N = 6) (One-way ANOVA test with Tukey's multiple comparisons test). Scale bar: 100 μm. H-I: The expression of hsa_circ_0101645 (H) and miR-1304-5p (I) in each group of IVD tissues (N = 6) (One-way ANOVA test with Tukey's multiple comparisons test). J-K: Changes in expression of apoptosis ( J; Caspase 3, Bcl-2 and Bax) and autophagy markers ( K; LC3B, Beclin and P62) in IVD tissues (N = 3) (One-way ANOVA test with Tukey's multiple comparisons test or Kruskal-Wallis test with Dunn's multiple comparisons test). ∗ indicates P < 0.05.
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    Elabscience Biotechnology mmp3
    Integrated network pharmacology and molecular docking analysis of candidate compounds and targets. ( A ) A Venn diagram illustrates the intersection of differentially expressed genes from the GSE178557 dataset with disease-related genes from GeneCards and drug-target genes from DrugBank. ( B ) The PPI network of overlapping targets was generated to visualize functional associations. Central nodes (red) indicate core hub genes identified based on degree centrality and connectivity. ( C ) A Sankey diagram correlates specific target genes ( left ) with their respective enriched KEGG biological pathways ( right ). Connectivity indicates involvement in signaling cascades such as the AGE-RAGE, TGF-beta, and IL-17 signaling pathways. ( D ) Representative 3D docking poses demonstrate the binding orientations and intermolecular interactions between active compounds (bavachinin, hederagenin, and myricanone) and primary protein targets (FN1, <t>MMP3,</t> and TGF-β). ( E ) A heatmap displays the molecular docking scores (binding energy, kcal/mol) for the interaction between candidate compounds and hub targets. Color intensity and numerical values represent the predicted binding stability.
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    Image Search Results


    Synthesis and Characterization of ROS-Responsive Hydrogel D-EVs@Gel. (A) Schematic illustration of ROS-responsive smart hydrogel fabrication process (B) Photographs demonstrating the thermosensitive sol-gel transition of D-EVs@Gel ROS formulation. (C) Degradation curve of blank Gel and D-EVs@Gel ROS under collagenase. (D) Confocal microscopy illustrating the spatial distribution of PHK26-labeled EVs (red) within D-EVs@Gel ROS . (E) Representative SEM images of Gel and D-EVs@Gel ROS . (F) Particle Size Distribution Chart for Gel and D-EVs@Gel ROS . (G) Solubility characteristics of Gel and D-EVs@Gel ROS in PBS during a duration of 48 h. (H) Rheological measurements for Gel and D-EVs@Gel ROS hydrogel under alternating high (20 %) and low (0.1 %) shear. (I) Compression test of Gel and D-EVs@Gel ROS . (J) Cumulative release profile of EVs from D-EVs@Gel incubated with PBS containing different H 2 O 2 concentrations or not. (K) Cumulative release profile of EVs from D-EVs@Gel ROS incubated with PBS containing MMP3/MMP13 or not. (L) Live/dead cytofluorograms, and (M) quantitative assessment of the cytotoxicity of Gel and D-EVs@Gel ROS .

    Journal: Bioactive Materials

    Article Title: Microenvironment-educated MSC-EVs loaded injectable smart hydrogel for targeting senescent nucleus pulposus cells and inhibiting ferroptosis against intervertebral disc degeneration

    doi: 10.1016/j.bioactmat.2026.02.030

    Figure Lengend Snippet: Synthesis and Characterization of ROS-Responsive Hydrogel D-EVs@Gel. (A) Schematic illustration of ROS-responsive smart hydrogel fabrication process (B) Photographs demonstrating the thermosensitive sol-gel transition of D-EVs@Gel ROS formulation. (C) Degradation curve of blank Gel and D-EVs@Gel ROS under collagenase. (D) Confocal microscopy illustrating the spatial distribution of PHK26-labeled EVs (red) within D-EVs@Gel ROS . (E) Representative SEM images of Gel and D-EVs@Gel ROS . (F) Particle Size Distribution Chart for Gel and D-EVs@Gel ROS . (G) Solubility characteristics of Gel and D-EVs@Gel ROS in PBS during a duration of 48 h. (H) Rheological measurements for Gel and D-EVs@Gel ROS hydrogel under alternating high (20 %) and low (0.1 %) shear. (I) Compression test of Gel and D-EVs@Gel ROS . (J) Cumulative release profile of EVs from D-EVs@Gel incubated with PBS containing different H 2 O 2 concentrations or not. (K) Cumulative release profile of EVs from D-EVs@Gel ROS incubated with PBS containing MMP3/MMP13 or not. (L) Live/dead cytofluorograms, and (M) quantitative assessment of the cytotoxicity of Gel and D-EVs@Gel ROS .

    Article Snippet: After blocked with 5% non-fat milk for 2 h at room temperature, the membranes were incubated with primary antibodies against GAPDH (1:5000, 104941-AP, Proteintech), TSG101 (1:1000, DF8427, Affinity), CD9 (1:1000, AF5139, Affinity), CD63 (1:2000, 25682-1-AP, Proteintech), Calnexin (1:5000, 10427-2-AP, Proteintech), GM130 (1:20000, 11308-1-AP, Proteintech), CXCR3 (1:5000, 26756-1-AP, Proteintech), CXCL10 (1:2000, 10937-1-AP, Proteintech), MMP3 (1:2000, 17873-1-AP, Proteintech), ADAMTS5 (DF13268, Affinity), P16 (AF5484, Affinity), P21 (10355-1-AP, Proteintech), GPX4 (1:1000, 381958, Zen-bio), SLC7A11 (1:1000, 26864-1-AP, Proteintech), ACSL4 (1:5000, 22401-1-AP, Proteintech) and Tubulin (1:10000, T40103 , Abmart) overnight at 4 °C.

    Techniques: Formulation, Confocal Microscopy, Labeling, Solubility, Shear, Incubation

    Hsa_circ_0101645 accelerating the IVDD process in vivo . A: Diagram of the animal procedure for this study. B: Grouping information for this section. C: Representative X-rays of each group of rats. Statistical graph demonstrating the disc height index (DHI) changes for L4/5 in each group of rats (N = 6) (One-way ANOVA test with Tukey's multiple comparisons test). D: HE staining exhibiting pathological changes of CEP, NP, and AP in IVD in each group of rats (N = 6). Scale bar: 500 μm. E: EdU staining was used to detect cell proliferation in IVD tissues of rats (N = 6) (One-way ANOVA test with Tukey's multiple comparisons test). Scale bar: 50 μm. F: TUNEL (white light) staining exhibiting TUNEL-positive cells in IVD tissues of rats (N = 6) (One-way ANOVA test with Tukey's multiple comparisons test). Scale bar: 50 μm. G: The effect of hsa_circ_0101645 on the protein levels of Collagen Ⅱ, Aggrecan, MMP-3 and MMP-13 in IVD was observed by IHC staining (N = 6) (One-way ANOVA test with Tukey's multiple comparisons test). Scale bar: 100 μm. H-I: The expression of hsa_circ_0101645 (H) and miR-1304-5p (I) in each group of IVD tissues (N = 6) (One-way ANOVA test with Tukey's multiple comparisons test). J-K: Changes in expression of apoptosis ( J; Caspase 3, Bcl-2 and Bax) and autophagy markers ( K; LC3B, Beclin and P62) in IVD tissues (N = 3) (One-way ANOVA test with Tukey's multiple comparisons test or Kruskal-Wallis test with Dunn's multiple comparisons test). ∗ indicates P < 0.05.

    Journal: Non-coding RNA Research

    Article Title: Hsa_circ_0101645 contributes to excessive autophagy and apoptosis in intervertebral disc degeneration by acting as a miR-1304-5p sponge modulating BNIP3 expression

    doi: 10.1016/j.ncrna.2025.11.007

    Figure Lengend Snippet: Hsa_circ_0101645 accelerating the IVDD process in vivo . A: Diagram of the animal procedure for this study. B: Grouping information for this section. C: Representative X-rays of each group of rats. Statistical graph demonstrating the disc height index (DHI) changes for L4/5 in each group of rats (N = 6) (One-way ANOVA test with Tukey's multiple comparisons test). D: HE staining exhibiting pathological changes of CEP, NP, and AP in IVD in each group of rats (N = 6). Scale bar: 500 μm. E: EdU staining was used to detect cell proliferation in IVD tissues of rats (N = 6) (One-way ANOVA test with Tukey's multiple comparisons test). Scale bar: 50 μm. F: TUNEL (white light) staining exhibiting TUNEL-positive cells in IVD tissues of rats (N = 6) (One-way ANOVA test with Tukey's multiple comparisons test). Scale bar: 50 μm. G: The effect of hsa_circ_0101645 on the protein levels of Collagen Ⅱ, Aggrecan, MMP-3 and MMP-13 in IVD was observed by IHC staining (N = 6) (One-way ANOVA test with Tukey's multiple comparisons test). Scale bar: 100 μm. H-I: The expression of hsa_circ_0101645 (H) and miR-1304-5p (I) in each group of IVD tissues (N = 6) (One-way ANOVA test with Tukey's multiple comparisons test). J-K: Changes in expression of apoptosis ( J; Caspase 3, Bcl-2 and Bax) and autophagy markers ( K; LC3B, Beclin and P62) in IVD tissues (N = 3) (One-way ANOVA test with Tukey's multiple comparisons test or Kruskal-Wallis test with Dunn's multiple comparisons test). ∗ indicates P < 0.05.

    Article Snippet: Sections were then incubated with primary antibodies against Collagen II (28459-1-AP; 1:200; Proteintech, USA), Aggrecan (13880-1-AP; 1:100; Proteintech), MMP-3 (17873-1-AP; 1:200; Proteintech), and MMP-13 (18165-1-AP; 1:100; Proteintech), followed by the corresponding secondary antibodies.

    Techniques: In Vivo, Staining, TUNEL Assay, Immunohistochemistry, Expressing

    Integrated network pharmacology and molecular docking analysis of candidate compounds and targets. ( A ) A Venn diagram illustrates the intersection of differentially expressed genes from the GSE178557 dataset with disease-related genes from GeneCards and drug-target genes from DrugBank. ( B ) The PPI network of overlapping targets was generated to visualize functional associations. Central nodes (red) indicate core hub genes identified based on degree centrality and connectivity. ( C ) A Sankey diagram correlates specific target genes ( left ) with their respective enriched KEGG biological pathways ( right ). Connectivity indicates involvement in signaling cascades such as the AGE-RAGE, TGF-beta, and IL-17 signaling pathways. ( D ) Representative 3D docking poses demonstrate the binding orientations and intermolecular interactions between active compounds (bavachinin, hederagenin, and myricanone) and primary protein targets (FN1, MMP3, and TGF-β). ( E ) A heatmap displays the molecular docking scores (binding energy, kcal/mol) for the interaction between candidate compounds and hub targets. Color intensity and numerical values represent the predicted binding stability.

    Journal: Pharmaceuticals

    Article Title: Biluo Qianyuan Formula Ameliorates Post-Traumatic Osteoarthritis by Suppressing FN1-Mediated Synovial Inflammation and Restoring Joint Homeostasis

    doi: 10.3390/ph19030500

    Figure Lengend Snippet: Integrated network pharmacology and molecular docking analysis of candidate compounds and targets. ( A ) A Venn diagram illustrates the intersection of differentially expressed genes from the GSE178557 dataset with disease-related genes from GeneCards and drug-target genes from DrugBank. ( B ) The PPI network of overlapping targets was generated to visualize functional associations. Central nodes (red) indicate core hub genes identified based on degree centrality and connectivity. ( C ) A Sankey diagram correlates specific target genes ( left ) with their respective enriched KEGG biological pathways ( right ). Connectivity indicates involvement in signaling cascades such as the AGE-RAGE, TGF-beta, and IL-17 signaling pathways. ( D ) Representative 3D docking poses demonstrate the binding orientations and intermolecular interactions between active compounds (bavachinin, hederagenin, and myricanone) and primary protein targets (FN1, MMP3, and TGF-β). ( E ) A heatmap displays the molecular docking scores (binding energy, kcal/mol) for the interaction between candidate compounds and hub targets. Color intensity and numerical values represent the predicted binding stability.

    Article Snippet: The serum concentrations of MMP3 (Cat# E-EL-M0626, Elabscience Biotechnology Co., Ltd., Wuhan, China), TGF-β (Cat# E-EL-M0051, Elabscience Biotechnology Co., Ltd., Wuhan, China), and FN1 (Cat# KE00039, Elabscience Biotechnology Co., Ltd., Wuhan, China) were quantified by ELISA using commercial kits according to the manufacturers’ instructions.

    Techniques: Generated, Functional Assay, Protein-Protein interactions, Binding Assay

    BLQYF attenuates systemic inflammation and FN1-associated responses in PTOA. ( A ) Serum levels of MMP3, TGF-β, and FN1 in sham, PTOA, and PTOA mice treated with BLQYF or celecoxib. ( B ) Representative morphology and vimentin immunofluorescence staining of primary fibroblast-like synoviocytes (FLSs) isolated from synovial tissues of patients with post-traumatic osteoarthritis. Nuclei were counterstained with DAPI. Scale bar = 20 μm. ( C ) qRT–PCR analysis of MMP3 , TGF-β , and FN1 mRNA expression in FLSs from PTOA patients and mesenchymal stem cells (MSCs) from non-osteoarthritic hip arthroplasty donors. ( D ) CCK-8 assay showing MSC viability following BLQYF treatment (0–80 ng/mL, 24 h). ( E ) qRT–PCR analysis of MMP3 , TGF-β , and FN1 expression in FLSs following FN1 knockdown and BLQYF treatment (5, 10, 20 ng/mL, 24 h). Data were presented as mean ± SEM. Statistical significance was determined by one-way ANOVA with appropriate post hoc tests. p < 0.05, p < 0.01, p < 0.001.

    Journal: Pharmaceuticals

    Article Title: Biluo Qianyuan Formula Ameliorates Post-Traumatic Osteoarthritis by Suppressing FN1-Mediated Synovial Inflammation and Restoring Joint Homeostasis

    doi: 10.3390/ph19030500

    Figure Lengend Snippet: BLQYF attenuates systemic inflammation and FN1-associated responses in PTOA. ( A ) Serum levels of MMP3, TGF-β, and FN1 in sham, PTOA, and PTOA mice treated with BLQYF or celecoxib. ( B ) Representative morphology and vimentin immunofluorescence staining of primary fibroblast-like synoviocytes (FLSs) isolated from synovial tissues of patients with post-traumatic osteoarthritis. Nuclei were counterstained with DAPI. Scale bar = 20 μm. ( C ) qRT–PCR analysis of MMP3 , TGF-β , and FN1 mRNA expression in FLSs from PTOA patients and mesenchymal stem cells (MSCs) from non-osteoarthritic hip arthroplasty donors. ( D ) CCK-8 assay showing MSC viability following BLQYF treatment (0–80 ng/mL, 24 h). ( E ) qRT–PCR analysis of MMP3 , TGF-β , and FN1 expression in FLSs following FN1 knockdown and BLQYF treatment (5, 10, 20 ng/mL, 24 h). Data were presented as mean ± SEM. Statistical significance was determined by one-way ANOVA with appropriate post hoc tests. p < 0.05, p < 0.01, p < 0.001.

    Article Snippet: The serum concentrations of MMP3 (Cat# E-EL-M0626, Elabscience Biotechnology Co., Ltd., Wuhan, China), TGF-β (Cat# E-EL-M0051, Elabscience Biotechnology Co., Ltd., Wuhan, China), and FN1 (Cat# KE00039, Elabscience Biotechnology Co., Ltd., Wuhan, China) were quantified by ELISA using commercial kits according to the manufacturers’ instructions.

    Techniques: Immunofluorescence, Staining, Isolation, Quantitative RT-PCR, Expressing, CCK-8 Assay, Knockdown