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NSJ Bioreagents mmp14 antibody
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Novus Biologicals mmp14 elisa kit
( A ) UMAP plot showing annotated cell clusters. Major cell types are labeled and color-coded, including epithelial, immune, endothelial, and stromal populations. MMP expression was determined in 32 different cell types. ( B ) UMAP plots showing the expression of selected MMP genes (MMP10, 11, 15, 16, 17, 20, 21, 23, 24, 25, 27, 28) in single cells from mouse lung tissue (filtered air group, n = 9). Expression is color-coded by log-normalized expression levels, with darker shades indicating higher expression. ( C – E ) qRT-PCR data showing mRNA expression levels of Mmp1a, Mmp1b, Mmp2, Mmp3, Mmp9, Mmp12, Mmp13, <t>Mmp14,</t> and Mmp19 in pmLF, IMΦ or AMΦ (WT and Trpml1 −/− ). ( F ) qRT-PCR data showing mRNA expression levels of Timp1, Timp2, Timp3, Timp4 in pmLF and IMΦ (WT and Trpml1 −/− ). In all figures, each single dot corresponds to one biologically independent sample. Data were mean ± SEM. Statistical analysis for qRT-PCR data were performed with multiple t -test, corrected for multiple comparisons using the Holm–Šídák method. ( G – J ) Western Blot analysis of different MMPs in pmLF isolated from WT and Trpml1 −/− mice. Graphs show quantification of each MMP band normalized to ß-actin. Each single dot corresponds to cells isolated from one mouse. Data were mean ± SEM. Student’s t -test, unpaired, two-tailed. .
Mmp14 Elisa Kit, supplied by Novus Biologicals, used in various techniques. Bioz Stars score: 94/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Novus Biologicals mmp14 elisa
( A ) UMAP plot showing annotated cell clusters. Major cell types are labeled and color-coded, including epithelial, immune, endothelial, and stromal populations. MMP expression was determined in 32 different cell types. ( B ) UMAP plots showing the expression of selected MMP genes (MMP10, 11, 15, 16, 17, 20, 21, 23, 24, 25, 27, 28) in single cells from mouse lung tissue (filtered air group, n = 9). Expression is color-coded by log-normalized expression levels, with darker shades indicating higher expression. ( C – E ) qRT-PCR data showing mRNA expression levels of Mmp1a, Mmp1b, Mmp2, Mmp3, Mmp9, Mmp12, Mmp13, <t>Mmp14,</t> and Mmp19 in pmLF, IMΦ or AMΦ (WT and Trpml1 −/− ). ( F ) qRT-PCR data showing mRNA expression levels of Timp1, Timp2, Timp3, Timp4 in pmLF and IMΦ (WT and Trpml1 −/− ). In all figures, each single dot corresponds to one biologically independent sample. Data were mean ± SEM. Statistical analysis for qRT-PCR data were performed with multiple t -test, corrected for multiple comparisons using the Holm–Šídák method. ( G – J ) Western Blot analysis of different MMPs in pmLF isolated from WT and Trpml1 −/− mice. Graphs show quantification of each MMP band normalized to ß-actin. Each single dot corresponds to cells isolated from one mouse. Data were mean ± SEM. Student’s t -test, unpaired, two-tailed. .
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Proteintech mmp14
( A ) UMAP plot showing annotated cell clusters. Major cell types are labeled and color-coded, including epithelial, immune, endothelial, and stromal populations. MMP expression was determined in 32 different cell types. ( B ) UMAP plots showing the expression of selected MMP genes (MMP10, 11, 15, 16, 17, 20, 21, 23, 24, 25, 27, 28) in single cells from mouse lung tissue (filtered air group, n = 9). Expression is color-coded by log-normalized expression levels, with darker shades indicating higher expression. ( C – E ) qRT-PCR data showing mRNA expression levels of Mmp1a, Mmp1b, Mmp2, Mmp3, Mmp9, Mmp12, Mmp13, <t>Mmp14,</t> and Mmp19 in pmLF, IMΦ or AMΦ (WT and Trpml1 −/− ). ( F ) qRT-PCR data showing mRNA expression levels of Timp1, Timp2, Timp3, Timp4 in pmLF and IMΦ (WT and Trpml1 −/− ). In all figures, each single dot corresponds to one biologically independent sample. Data were mean ± SEM. Statistical analysis for qRT-PCR data were performed with multiple t -test, corrected for multiple comparisons using the Holm–Šídák method. ( G – J ) Western Blot analysis of different MMPs in pmLF isolated from WT and Trpml1 −/− mice. Graphs show quantification of each MMP band normalized to ß-actin. Each single dot corresponds to cells isolated from one mouse. Data were mean ± SEM. Student’s t -test, unpaired, two-tailed. .
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Molecular Dynamics Inc ssd25 mmp14 complex
Gibbs Free Energy Landscapes of Ligand–Receptor Complexes from Molecular Dynamics Simulations ( A ) Gibbs free energy landscape of the SSD28–Mmp14 complex; ( B ) Gibbs free energy landscape of the SSD43–Mmp14 complex; ( C ) Gibbs free energy landscape of <t>the</t> <t>SSD25–Mmp14</t> complex; ( D ) Gibbs free energy landscape of the SSD28–Ctnnb1 complex; ( E ) Gibbs free energy landscape of the SSD43–Ctnnb1 complex; ( F ) Gibbs free energy landscape of the SSD14–Ctnnb1 complex.
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Molecular Dynamics Inc ssd43 mmp14 complex
Gibbs Free Energy Landscapes of Ligand–Receptor Complexes from Molecular Dynamics Simulations ( A ) Gibbs free energy landscape of the SSD28–Mmp14 complex; ( B ) Gibbs free energy landscape of <t>the</t> <t>SSD43–Mmp14</t> complex; ( C ) Gibbs free energy landscape of the SSD25–Mmp14 complex; ( D ) Gibbs free energy landscape of the SSD28–Ctnnb1 complex; ( E ) Gibbs free energy landscape of the SSD43–Ctnnb1 complex; ( F ) Gibbs free energy landscape of the SSD14–Ctnnb1 complex.
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Molecular Dynamics Inc ssd28 mmp14 complex
Gibbs Free Energy Landscapes of Ligand–Receptor Complexes from Molecular Dynamics Simulations ( A ) Gibbs free energy landscape of <t>the</t> <t>SSD28–Mmp14</t> complex; ( B ) Gibbs free energy landscape of the SSD43–Mmp14 complex; ( C ) Gibbs free energy landscape of the SSD25–Mmp14 complex; ( D ) Gibbs free energy landscape of the SSD28–Ctnnb1 complex; ( E ) Gibbs free energy landscape of the SSD43–Ctnnb1 complex; ( F ) Gibbs free energy landscape of the SSD14–Ctnnb1 complex.
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( A ) UMAP plot showing annotated cell clusters. Major cell types are labeled and color-coded, including epithelial, immune, endothelial, and stromal populations. MMP expression was determined in 32 different cell types. ( B ) UMAP plots showing the expression of selected MMP genes (MMP10, 11, 15, 16, 17, 20, 21, 23, 24, 25, 27, 28) in single cells from mouse lung tissue (filtered air group, n = 9). Expression is color-coded by log-normalized expression levels, with darker shades indicating higher expression. ( C – E ) qRT-PCR data showing mRNA expression levels of Mmp1a, Mmp1b, Mmp2, Mmp3, Mmp9, Mmp12, Mmp13, Mmp14, and Mmp19 in pmLF, IMΦ or AMΦ (WT and Trpml1 −/− ). ( F ) qRT-PCR data showing mRNA expression levels of Timp1, Timp2, Timp3, Timp4 in pmLF and IMΦ (WT and Trpml1 −/− ). In all figures, each single dot corresponds to one biologically independent sample. Data were mean ± SEM. Statistical analysis for qRT-PCR data were performed with multiple t -test, corrected for multiple comparisons using the Holm–Šídák method. ( G – J ) Western Blot analysis of different MMPs in pmLF isolated from WT and Trpml1 −/− mice. Graphs show quantification of each MMP band normalized to ß-actin. Each single dot corresponds to cells isolated from one mouse. Data were mean ± SEM. Student’s t -test, unpaired, two-tailed. .

Journal: The EMBO Journal

Article Title: TRPML1 suppresses pulmonary fibrosis by limiting collagen and elastin deposition

doi: 10.1038/s44318-026-00712-4

Figure Lengend Snippet: ( A ) UMAP plot showing annotated cell clusters. Major cell types are labeled and color-coded, including epithelial, immune, endothelial, and stromal populations. MMP expression was determined in 32 different cell types. ( B ) UMAP plots showing the expression of selected MMP genes (MMP10, 11, 15, 16, 17, 20, 21, 23, 24, 25, 27, 28) in single cells from mouse lung tissue (filtered air group, n = 9). Expression is color-coded by log-normalized expression levels, with darker shades indicating higher expression. ( C – E ) qRT-PCR data showing mRNA expression levels of Mmp1a, Mmp1b, Mmp2, Mmp3, Mmp9, Mmp12, Mmp13, Mmp14, and Mmp19 in pmLF, IMΦ or AMΦ (WT and Trpml1 −/− ). ( F ) qRT-PCR data showing mRNA expression levels of Timp1, Timp2, Timp3, Timp4 in pmLF and IMΦ (WT and Trpml1 −/− ). In all figures, each single dot corresponds to one biologically independent sample. Data were mean ± SEM. Statistical analysis for qRT-PCR data were performed with multiple t -test, corrected for multiple comparisons using the Holm–Šídák method. ( G – J ) Western Blot analysis of different MMPs in pmLF isolated from WT and Trpml1 −/− mice. Graphs show quantification of each MMP band normalized to ß-actin. Each single dot corresponds to cells isolated from one mouse. Data were mean ± SEM. Student’s t -test, unpaired, two-tailed. .

Article Snippet: MMP14 ELISA kit , Novus biologicals , NBP3-06941.

Techniques: Labeling, Expressing, Quantitative RT-PCR, Western Blot, Isolation, Two Tailed Test

( A ) UMAP plot showing annotated cell clusters. Major cell types are labeled and color-coded, including epithelial, immune, endothelial, and stromal populations. MMP expression was determined in 32 different cell types. ( B ) UMAP plots showing the expression of selected MMP genes (MMP10, 11, 15, 16, 17, 20, 21, 23, 24, 25, 27, 28) in single cells from mouse lung tissue (filtered air group, n = 9). Expression is color-coded by log-normalized expression levels, with darker shades indicating higher expression. ( C – E ) qRT-PCR data showing mRNA expression levels of Mmp1a, Mmp1b, Mmp2, Mmp3, Mmp9, Mmp12, Mmp13, Mmp14, and Mmp19 in pmLF, IMΦ or AMΦ (WT and Trpml1 −/− ). ( F ) qRT-PCR data showing mRNA expression levels of Timp1, Timp2, Timp3, Timp4 in pmLF and IMΦ (WT and Trpml1 −/− ). In all figures, each single dot corresponds to one biologically independent sample. Data were mean ± SEM. Statistical analysis for qRT-PCR data were performed with multiple t -test, corrected for multiple comparisons using the Holm–Šídák method. ( G – J ) Western Blot analysis of different MMPs in pmLF isolated from WT and Trpml1 −/− mice. Graphs show quantification of each MMP band normalized to ß-actin. Each single dot corresponds to cells isolated from one mouse. Data were mean ± SEM. Student’s t -test, unpaired, two-tailed. .

Journal: The EMBO Journal

Article Title: TRPML1 suppresses pulmonary fibrosis by limiting collagen and elastin deposition

doi: 10.1038/s44318-026-00712-4

Figure Lengend Snippet: ( A ) UMAP plot showing annotated cell clusters. Major cell types are labeled and color-coded, including epithelial, immune, endothelial, and stromal populations. MMP expression was determined in 32 different cell types. ( B ) UMAP plots showing the expression of selected MMP genes (MMP10, 11, 15, 16, 17, 20, 21, 23, 24, 25, 27, 28) in single cells from mouse lung tissue (filtered air group, n = 9). Expression is color-coded by log-normalized expression levels, with darker shades indicating higher expression. ( C – E ) qRT-PCR data showing mRNA expression levels of Mmp1a, Mmp1b, Mmp2, Mmp3, Mmp9, Mmp12, Mmp13, Mmp14, and Mmp19 in pmLF, IMΦ or AMΦ (WT and Trpml1 −/− ). ( F ) qRT-PCR data showing mRNA expression levels of Timp1, Timp2, Timp3, Timp4 in pmLF and IMΦ (WT and Trpml1 −/− ). In all figures, each single dot corresponds to one biologically independent sample. Data were mean ± SEM. Statistical analysis for qRT-PCR data were performed with multiple t -test, corrected for multiple comparisons using the Holm–Šídák method. ( G – J ) Western Blot analysis of different MMPs in pmLF isolated from WT and Trpml1 −/− mice. Graphs show quantification of each MMP band normalized to ß-actin. Each single dot corresponds to cells isolated from one mouse. Data were mean ± SEM. Student’s t -test, unpaired, two-tailed. .

Article Snippet: The following ELISAs were used for the experiments: SP-A ELISA (NBP2-76693, Novus biologicals), Cathepsin K ELISA (NBP3-00426, Novus biologicals), TIMP1 ELISA (ab196265, Abcam), TIMP2 ELISA (ab227893, Abcam), MMP1 ELISA (NBP3-06885, Novus biologicals and ABIN6963621, Antibodies online), MMP2 ELISA (ab254516, Abcam), MMP3 ELISA (ab100731), MMP8 ELISA (ab206982, Abcam), MMP9 ELISA (MMPT90, R&D systems), MMP12 ELISA (ab213878, Abcam), MMP13 ELISA (NBP3-06930, Novus biologicals), MMP14 ELISA (NBP3-06941, Novus biologicals and ABIN6957687, Antibodies online), MMP19 ELISA (NBP3-06941, Novus biologicals), IL-17A ELISA (ab199081, Abcam), DESMOSINE ELISA (CSB-E14196m, Cusabio).

Techniques: Labeling, Expressing, Quantitative RT-PCR, Western Blot, Isolation, Two Tailed Test

Gibbs Free Energy Landscapes of Ligand–Receptor Complexes from Molecular Dynamics Simulations ( A ) Gibbs free energy landscape of the SSD28–Mmp14 complex; ( B ) Gibbs free energy landscape of the SSD43–Mmp14 complex; ( C ) Gibbs free energy landscape of the SSD25–Mmp14 complex; ( D ) Gibbs free energy landscape of the SSD28–Ctnnb1 complex; ( E ) Gibbs free energy landscape of the SSD43–Ctnnb1 complex; ( F ) Gibbs free energy landscape of the SSD14–Ctnnb1 complex.

Journal: International Journal of General Medicine

Article Title: Exploring the Mechanisms of the Traditional Herbal Formula Sanshen Dan Against Myocardial Ischemia-Reperfusion Injury: An Integrated Strategy Combining Serum Pharmacochemistry, Network Pharmacology, and Molecular Docking

doi: 10.2147/IJGM.S577525

Figure Lengend Snippet: Gibbs Free Energy Landscapes of Ligand–Receptor Complexes from Molecular Dynamics Simulations ( A ) Gibbs free energy landscape of the SSD28–Mmp14 complex; ( B ) Gibbs free energy landscape of the SSD43–Mmp14 complex; ( C ) Gibbs free energy landscape of the SSD25–Mmp14 complex; ( D ) Gibbs free energy landscape of the SSD28–Ctnnb1 complex; ( E ) Gibbs free energy landscape of the SSD43–Ctnnb1 complex; ( F ) Gibbs free energy landscape of the SSD14–Ctnnb1 complex.

Article Snippet: Figure 6 Gibbs Free Energy Landscapes of Ligand–Receptor Complexes from Molecular Dynamics Simulations ( A ) Gibbs free energy landscape of the SSD28–Mmp14 complex; ( B ) Gibbs free energy landscape of the SSD43–Mmp14 complex; ( C ) Gibbs free energy landscape of the SSD25–Mmp14 complex; ( D ) Gibbs free energy landscape of the SSD28–Ctnnb1 complex; ( E ) Gibbs free energy landscape of the SSD43–Ctnnb1 complex; ( F ) Gibbs free energy landscape of the SSD14–Ctnnb1 complex.

Techniques:

Gibbs Free Energy Landscapes of Ligand–Receptor Complexes from Molecular Dynamics Simulations ( A ) Gibbs free energy landscape of the SSD28–Mmp14 complex; ( B ) Gibbs free energy landscape of the SSD43–Mmp14 complex; ( C ) Gibbs free energy landscape of the SSD25–Mmp14 complex; ( D ) Gibbs free energy landscape of the SSD28–Ctnnb1 complex; ( E ) Gibbs free energy landscape of the SSD43–Ctnnb1 complex; ( F ) Gibbs free energy landscape of the SSD14–Ctnnb1 complex.

Journal: International Journal of General Medicine

Article Title: Exploring the Mechanisms of the Traditional Herbal Formula Sanshen Dan Against Myocardial Ischemia-Reperfusion Injury: An Integrated Strategy Combining Serum Pharmacochemistry, Network Pharmacology, and Molecular Docking

doi: 10.2147/IJGM.S577525

Figure Lengend Snippet: Gibbs Free Energy Landscapes of Ligand–Receptor Complexes from Molecular Dynamics Simulations ( A ) Gibbs free energy landscape of the SSD28–Mmp14 complex; ( B ) Gibbs free energy landscape of the SSD43–Mmp14 complex; ( C ) Gibbs free energy landscape of the SSD25–Mmp14 complex; ( D ) Gibbs free energy landscape of the SSD28–Ctnnb1 complex; ( E ) Gibbs free energy landscape of the SSD43–Ctnnb1 complex; ( F ) Gibbs free energy landscape of the SSD14–Ctnnb1 complex.

Article Snippet: Figure 6 Gibbs Free Energy Landscapes of Ligand–Receptor Complexes from Molecular Dynamics Simulations ( A ) Gibbs free energy landscape of the SSD28–Mmp14 complex; ( B ) Gibbs free energy landscape of the SSD43–Mmp14 complex; ( C ) Gibbs free energy landscape of the SSD25–Mmp14 complex; ( D ) Gibbs free energy landscape of the SSD28–Ctnnb1 complex; ( E ) Gibbs free energy landscape of the SSD43–Ctnnb1 complex; ( F ) Gibbs free energy landscape of the SSD14–Ctnnb1 complex.

Techniques:

Gibbs Free Energy Landscapes of Ligand–Receptor Complexes from Molecular Dynamics Simulations ( A ) Gibbs free energy landscape of the SSD28–Mmp14 complex; ( B ) Gibbs free energy landscape of the SSD43–Mmp14 complex; ( C ) Gibbs free energy landscape of the SSD25–Mmp14 complex; ( D ) Gibbs free energy landscape of the SSD28–Ctnnb1 complex; ( E ) Gibbs free energy landscape of the SSD43–Ctnnb1 complex; ( F ) Gibbs free energy landscape of the SSD14–Ctnnb1 complex.

Journal: International Journal of General Medicine

Article Title: Exploring the Mechanisms of the Traditional Herbal Formula Sanshen Dan Against Myocardial Ischemia-Reperfusion Injury: An Integrated Strategy Combining Serum Pharmacochemistry, Network Pharmacology, and Molecular Docking

doi: 10.2147/IJGM.S577525

Figure Lengend Snippet: Gibbs Free Energy Landscapes of Ligand–Receptor Complexes from Molecular Dynamics Simulations ( A ) Gibbs free energy landscape of the SSD28–Mmp14 complex; ( B ) Gibbs free energy landscape of the SSD43–Mmp14 complex; ( C ) Gibbs free energy landscape of the SSD25–Mmp14 complex; ( D ) Gibbs free energy landscape of the SSD28–Ctnnb1 complex; ( E ) Gibbs free energy landscape of the SSD43–Ctnnb1 complex; ( F ) Gibbs free energy landscape of the SSD14–Ctnnb1 complex.

Article Snippet: Figure 6 Gibbs Free Energy Landscapes of Ligand–Receptor Complexes from Molecular Dynamics Simulations ( A ) Gibbs free energy landscape of the SSD28–Mmp14 complex; ( B ) Gibbs free energy landscape of the SSD43–Mmp14 complex; ( C ) Gibbs free energy landscape of the SSD25–Mmp14 complex; ( D ) Gibbs free energy landscape of the SSD28–Ctnnb1 complex; ( E ) Gibbs free energy landscape of the SSD43–Ctnnb1 complex; ( F ) Gibbs free energy landscape of the SSD14–Ctnnb1 complex.

Techniques: