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mouse angiogenesis proteome profiling kit  (R&D Systems)


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    Structured Review

    R&D Systems mouse angiogenesis proteome profiling kit
    Mouse Angiogenesis Proteome Profiling Kit, supplied by R&D Systems, used in various techniques. Bioz Stars score: 94/100, based on 191 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/mouse angiogenesis proteome profiling kit/product/R&D Systems
    Average 94 stars, based on 191 article reviews
    mouse angiogenesis proteome profiling kit - by Bioz Stars, 2026-03
    94/100 stars

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    <t>Angiogenesis-related</t> factors in mice with IMQ-induced psoriasis-like inflammation. Mice were treated with IMQ and Veh (IMQ + Veh), IMQ and sCSD (IMQ + sCSD), IMQ and sB (IMQ + sB), or Vaseline for 6 days. ( a ) Images of Proteome Profiler Mouse Angiogenesis Array membranes. A mixture of skin tissue extracts from three mice in each group was used. The mean spot pixel densities that changed by > 30% of the IMQ level are boxed. ( b ) Graph indicates the relative mean spot pixel densities quantified using ImageJ software. ( c ) Relative gene expression levels of MMP-3, SPP1, CXCL12, TIMP-1, and VEGF-A in mouse skin were determined using quantitative PCR. Graphs indicate the mean ± SD of each group (n = 5). One-way analysis of variance (post hoc Holm-Sidak’s test) indicated * P < 0.05 or ** P < 0.01 (IMQ + Veh vs. IMQ + sCSD or IMQ + sB), ^ P < 0.05, ^^^ P < 0.001, or ^^^^ P < 0.0001 (Vase vs. IMQ + Veh), and + P < 0.05, ++ P < 0.01, +++ P < 0.001 (IMQ + sB vs. IMQ + sCSD), respectively.
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    R&D Systems proteome profiler mouse angiogenesis array kit
    Characterization of tEVs isolated from B16F10 cells and proteomic profiling. (a) Nanoparticle analysis of tEVs demonstrates single‐peak distribution within a 100–200 nm range consistent with functional EV subsets such as exosomes and microvesicles. (b) Using high‐resolution imaging flow cytometry (Amnis CellStream) and tetraspanin‐labelled phycoerythrin (PE) anti‐mouse, the EVs marker CD63 was identified in accordance with the forward scatter signal (FCS). (c) Western Blot analysis shows that tEVs are positive for the common melanoma‐tEV markers CD63, Alix, PDL‐1, and TSG101 and negative for B‐actin. (d) cryoEM imaging confirms tEV particles within the range of the nanoparticle analysis (scale bar 100 nm). (e) Histogram profiles for the differential expression of 13 angiogenic factors presence in/on tEVs was screened using <t>Proteome</t> Profiler Arrays, calculating the mean spot pixel densities with standard imaging software. (f) Histogram profiles for the differential expression of four cytokines presence in/on tEVs was screened using Proteome Profiler Arrays, calculating the mean spot pixel densities with standard imaging software. (g) Histogram profiles for the differential expression of 10 angiogenic factors presence in 1 mL of B16F10 supernatant for 3 days, was screened using Proteome Profiler Arrays, calculating the mean spot pixel densities with standard imaging software. (h) Histogram profiles for the differential expression of four cytokines presence in 1 mL of B16F10 supernatant for 3 days, was screened using Proteome Profiler Arrays, calculating the mean spot pixel densities with standard imaging software. The data are shown as means (±SD, n = 2). (e–h) The experiment has been repeated similarly twice.
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    R&D Systems ary015
    Characterization of tEVs isolated from B16F10 cells and proteomic profiling. (a) Nanoparticle analysis of tEVs demonstrates single‐peak distribution within a 100–200 nm range consistent with functional EV subsets such as exosomes and microvesicles. (b) Using high‐resolution imaging flow cytometry (Amnis CellStream) and tetraspanin‐labelled phycoerythrin (PE) anti‐mouse, the EVs marker CD63 was identified in accordance with the forward scatter signal (FCS). (c) Western Blot analysis shows that tEVs are positive for the common melanoma‐tEV markers CD63, Alix, PDL‐1, and TSG101 and negative for B‐actin. (d) cryoEM imaging confirms tEV particles within the range of the nanoparticle analysis (scale bar 100 nm). (e) Histogram profiles for the differential expression of 13 angiogenic factors presence in/on tEVs was screened using <t>Proteome</t> Profiler Arrays, calculating the mean spot pixel densities with standard imaging software. (f) Histogram profiles for the differential expression of four cytokines presence in/on tEVs was screened using Proteome Profiler Arrays, calculating the mean spot pixel densities with standard imaging software. (g) Histogram profiles for the differential expression of 10 angiogenic factors presence in 1 mL of B16F10 supernatant for 3 days, was screened using Proteome Profiler Arrays, calculating the mean spot pixel densities with standard imaging software. (h) Histogram profiles for the differential expression of four cytokines presence in 1 mL of B16F10 supernatant for 3 days, was screened using Proteome Profiler Arrays, calculating the mean spot pixel densities with standard imaging software. The data are shown as means (±SD, n = 2). (e–h) The experiment has been repeated similarly twice.
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    Image Search Results


    Angiogenesis-related factors in mice with IMQ-induced psoriasis-like inflammation. Mice were treated with IMQ and Veh (IMQ + Veh), IMQ and sCSD (IMQ + sCSD), IMQ and sB (IMQ + sB), or Vaseline for 6 days. ( a ) Images of Proteome Profiler Mouse Angiogenesis Array membranes. A mixture of skin tissue extracts from three mice in each group was used. The mean spot pixel densities that changed by > 30% of the IMQ level are boxed. ( b ) Graph indicates the relative mean spot pixel densities quantified using ImageJ software. ( c ) Relative gene expression levels of MMP-3, SPP1, CXCL12, TIMP-1, and VEGF-A in mouse skin were determined using quantitative PCR. Graphs indicate the mean ± SD of each group (n = 5). One-way analysis of variance (post hoc Holm-Sidak’s test) indicated * P < 0.05 or ** P < 0.01 (IMQ + Veh vs. IMQ + sCSD or IMQ + sB), ^ P < 0.05, ^^^ P < 0.001, or ^^^^ P < 0.0001 (Vase vs. IMQ + Veh), and + P < 0.05, ++ P < 0.01, +++ P < 0.001 (IMQ + sB vs. IMQ + sCSD), respectively.

    Journal: Scientific Reports

    Article Title: A water-soluble caveolin-1 peptide inhibits psoriasis-like skin inflammation by suppressing cytokine production and angiogenesis

    doi: 10.1038/s41598-024-71350-1

    Figure Lengend Snippet: Angiogenesis-related factors in mice with IMQ-induced psoriasis-like inflammation. Mice were treated with IMQ and Veh (IMQ + Veh), IMQ and sCSD (IMQ + sCSD), IMQ and sB (IMQ + sB), or Vaseline for 6 days. ( a ) Images of Proteome Profiler Mouse Angiogenesis Array membranes. A mixture of skin tissue extracts from three mice in each group was used. The mean spot pixel densities that changed by > 30% of the IMQ level are boxed. ( b ) Graph indicates the relative mean spot pixel densities quantified using ImageJ software. ( c ) Relative gene expression levels of MMP-3, SPP1, CXCL12, TIMP-1, and VEGF-A in mouse skin were determined using quantitative PCR. Graphs indicate the mean ± SD of each group (n = 5). One-way analysis of variance (post hoc Holm-Sidak’s test) indicated * P < 0.05 or ** P < 0.01 (IMQ + Veh vs. IMQ + sCSD or IMQ + sB), ^ P < 0.05, ^^^ P < 0.001, or ^^^^ P < 0.0001 (Vase vs. IMQ + Veh), and + P < 0.05, ++ P < 0.01, +++ P < 0.001 (IMQ + sB vs. IMQ + sCSD), respectively.

    Article Snippet: Mixed skin tissue extracts from three mice per group (IMQ + Veh, IMQ + sCSD, IMQ + sB, Vaseline) were analyzed using a proteome profiler array (mouse angiogenesis array kit, R&D Systems, Minneapolis, MN, ARY015), allowing the simultaneous assessment of the relative levels of 53 angiogenesis-related proteins.

    Techniques: Software, Expressing, Real-time Polymerase Chain Reaction

    Characterization of tEVs isolated from B16F10 cells and proteomic profiling. (a) Nanoparticle analysis of tEVs demonstrates single‐peak distribution within a 100–200 nm range consistent with functional EV subsets such as exosomes and microvesicles. (b) Using high‐resolution imaging flow cytometry (Amnis CellStream) and tetraspanin‐labelled phycoerythrin (PE) anti‐mouse, the EVs marker CD63 was identified in accordance with the forward scatter signal (FCS). (c) Western Blot analysis shows that tEVs are positive for the common melanoma‐tEV markers CD63, Alix, PDL‐1, and TSG101 and negative for B‐actin. (d) cryoEM imaging confirms tEV particles within the range of the nanoparticle analysis (scale bar 100 nm). (e) Histogram profiles for the differential expression of 13 angiogenic factors presence in/on tEVs was screened using Proteome Profiler Arrays, calculating the mean spot pixel densities with standard imaging software. (f) Histogram profiles for the differential expression of four cytokines presence in/on tEVs was screened using Proteome Profiler Arrays, calculating the mean spot pixel densities with standard imaging software. (g) Histogram profiles for the differential expression of 10 angiogenic factors presence in 1 mL of B16F10 supernatant for 3 days, was screened using Proteome Profiler Arrays, calculating the mean spot pixel densities with standard imaging software. (h) Histogram profiles for the differential expression of four cytokines presence in 1 mL of B16F10 supernatant for 3 days, was screened using Proteome Profiler Arrays, calculating the mean spot pixel densities with standard imaging software. The data are shown as means (±SD, n = 2). (e–h) The experiment has been repeated similarly twice.

    Journal: Journal of Extracellular Vesicles

    Article Title: Extracellular vesicles originating from melanoma cells promote dysregulation in haematopoiesis as a component of cancer immunoediting

    doi: 10.1002/jev2.12471

    Figure Lengend Snippet: Characterization of tEVs isolated from B16F10 cells and proteomic profiling. (a) Nanoparticle analysis of tEVs demonstrates single‐peak distribution within a 100–200 nm range consistent with functional EV subsets such as exosomes and microvesicles. (b) Using high‐resolution imaging flow cytometry (Amnis CellStream) and tetraspanin‐labelled phycoerythrin (PE) anti‐mouse, the EVs marker CD63 was identified in accordance with the forward scatter signal (FCS). (c) Western Blot analysis shows that tEVs are positive for the common melanoma‐tEV markers CD63, Alix, PDL‐1, and TSG101 and negative for B‐actin. (d) cryoEM imaging confirms tEV particles within the range of the nanoparticle analysis (scale bar 100 nm). (e) Histogram profiles for the differential expression of 13 angiogenic factors presence in/on tEVs was screened using Proteome Profiler Arrays, calculating the mean spot pixel densities with standard imaging software. (f) Histogram profiles for the differential expression of four cytokines presence in/on tEVs was screened using Proteome Profiler Arrays, calculating the mean spot pixel densities with standard imaging software. (g) Histogram profiles for the differential expression of 10 angiogenic factors presence in 1 mL of B16F10 supernatant for 3 days, was screened using Proteome Profiler Arrays, calculating the mean spot pixel densities with standard imaging software. (h) Histogram profiles for the differential expression of four cytokines presence in 1 mL of B16F10 supernatant for 3 days, was screened using Proteome Profiler Arrays, calculating the mean spot pixel densities with standard imaging software. The data are shown as means (±SD, n = 2). (e–h) The experiment has been repeated similarly twice.

    Article Snippet: The relative expression levels of 31 proteins associated with mouse angiogenesis and 40 cytokines and chemokine in 1 mL cell culture supernatants and/or 2 × 10 11 tEVs (100 µL) derived from B16F10 cells were visualized using a proteome profiler mouse angiogenesis array kit (R&D Systems, Minneapolis, MN, USA).

    Techniques: Isolation, Functional Assay, Imaging, Flow Cytometry, Marker, Western Blot, Expressing, Software