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primary human aortic ecs  (PromoCell)


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    PromoCell primary human aortic ecs
    Primary Human Aortic Ecs, supplied by PromoCell, used in various techniques. Bioz Stars score: 96/100, based on 233 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/primary human aortic ecs/product/PromoCell
    Average 96 stars, based on 233 article reviews
    primary human aortic ecs - by Bioz Stars, 2026-03
    96/100 stars

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    Proteomics in <t>HAECs</t> with MerTK gene knockout or control. ( A ) MerTK expression in HAECs incubated with <t>apoptotic</t> <t>Jurkat</t> cells for 1 h. ( B ) Immunochemical staining for MerTK expression in the aortic arch from WT mice. ( C ) Efferocytosis of apoptotic Jurkat cells by HAECs after 1 h of co-incubation. P < Apoptotic Jurkat cells were labeled with green PKH67 (Sigma) and HAECs were labeled with red PKH26 (Sigma). Green cells are apoptotic Jurkat cells that were not engulfed by HAECs. Green/red small round cells are apoptotic Jurkat cells that were engulfed by HAECs. Large red cells are HAECs. (D) Volcano plot illustration in MerTK KO vs. control. Relative protein abundance (log2) plotted against significance level (-log10 P-value), showing significantly (p < 0.05) downregulated (blue), upregulated (red) or non-differentially expressed proteins (grey). (E) Graphic summarization for pathways in MerTK KO vs. control. (F) MerTK KO activates apoptosis signaling. (G) Canonical pathway analysis in MerTK KO vs. control. Color depends on z-score. Blue signifies negative value; orange signifies positive value; and grey signifies no activity pattern. Size is proportional to the number of genes that overlap the pathway. (H) Machine learning analysis for activated or inhibited disease pathways. (I–K) IPA prediction shows that MerTK KO activates premature aging, kidney failure and heart failure. Proteomics data were analyzed by IPA. Data were analyzed with GraphPad Prism 9.4.1 and shown as the mean ± SD (n = 3–5). P < 0.05 was considered statistically significant. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
    Primary Human Aortic Ecs Haecs, supplied by ATCC, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    Average 96 stars, based on 1 article reviews
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    primary human aortic ecs  (PromoCell)
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    PromoCell primary human aortic ecs
    Proteomics in <t>HAECs</t> with MerTK gene knockout or control. ( A ) MerTK expression in HAECs incubated with <t>apoptotic</t> <t>Jurkat</t> cells for 1 h. ( B ) Immunochemical staining for MerTK expression in the aortic arch from WT mice. ( C ) Efferocytosis of apoptotic Jurkat cells by HAECs after 1 h of co-incubation. P < Apoptotic Jurkat cells were labeled with green PKH67 (Sigma) and HAECs were labeled with red PKH26 (Sigma). Green cells are apoptotic Jurkat cells that were not engulfed by HAECs. Green/red small round cells are apoptotic Jurkat cells that were engulfed by HAECs. Large red cells are HAECs. (D) Volcano plot illustration in MerTK KO vs. control. Relative protein abundance (log2) plotted against significance level (-log10 P-value), showing significantly (p < 0.05) downregulated (blue), upregulated (red) or non-differentially expressed proteins (grey). (E) Graphic summarization for pathways in MerTK KO vs. control. (F) MerTK KO activates apoptosis signaling. (G) Canonical pathway analysis in MerTK KO vs. control. Color depends on z-score. Blue signifies negative value; orange signifies positive value; and grey signifies no activity pattern. Size is proportional to the number of genes that overlap the pathway. (H) Machine learning analysis for activated or inhibited disease pathways. (I–K) IPA prediction shows that MerTK KO activates premature aging, kidney failure and heart failure. Proteomics data were analyzed by IPA. Data were analyzed with GraphPad Prism 9.4.1 and shown as the mean ± SD (n = 3–5). P < 0.05 was considered statistically significant. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
    Primary Human Aortic Ecs, supplied by PromoCell, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/primary human aortic ecs/product/PromoCell
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    primary human aortic ecs - by Bioz Stars, 2026-03
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    Proteomics in <t>HAECs</t> with MerTK gene knockout or control. ( A ) MerTK expression in HAECs incubated with <t>apoptotic</t> <t>Jurkat</t> cells for 1 h. ( B ) Immunochemical staining for MerTK expression in the aortic arch from WT mice. ( C ) Efferocytosis of apoptotic Jurkat cells by HAECs after 1 h of co-incubation. P < Apoptotic Jurkat cells were labeled with green PKH67 (Sigma) and HAECs were labeled with red PKH26 (Sigma). Green cells are apoptotic Jurkat cells that were not engulfed by HAECs. Green/red small round cells are apoptotic Jurkat cells that were engulfed by HAECs. Large red cells are HAECs. (D) Volcano plot illustration in MerTK KO vs. control. Relative protein abundance (log2) plotted against significance level (-log10 P-value), showing significantly (p < 0.05) downregulated (blue), upregulated (red) or non-differentially expressed proteins (grey). (E) Graphic summarization for pathways in MerTK KO vs. control. (F) MerTK KO activates apoptosis signaling. (G) Canonical pathway analysis in MerTK KO vs. control. Color depends on z-score. Blue signifies negative value; orange signifies positive value; and grey signifies no activity pattern. Size is proportional to the number of genes that overlap the pathway. (H) Machine learning analysis for activated or inhibited disease pathways. (I–K) IPA prediction shows that MerTK KO activates premature aging, kidney failure and heart failure. Proteomics data were analyzed by IPA. Data were analyzed with GraphPad Prism 9.4.1 and shown as the mean ± SD (n = 3–5). P < 0.05 was considered statistically significant. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
    Primary Human Aortic Ecs, supplied by Lonza, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    Proteomics in <t>HAECs</t> with MerTK gene knockout or control. ( A ) MerTK expression in HAECs incubated with <t>apoptotic</t> <t>Jurkat</t> cells for 1 h. ( B ) Immunochemical staining for MerTK expression in the aortic arch from WT mice. ( C ) Efferocytosis of apoptotic Jurkat cells by HAECs after 1 h of co-incubation. P < Apoptotic Jurkat cells were labeled with green PKH67 (Sigma) and HAECs were labeled with red PKH26 (Sigma). Green cells are apoptotic Jurkat cells that were not engulfed by HAECs. Green/red small round cells are apoptotic Jurkat cells that were engulfed by HAECs. Large red cells are HAECs. (D) Volcano plot illustration in MerTK KO vs. control. Relative protein abundance (log2) plotted against significance level (-log10 P-value), showing significantly (p < 0.05) downregulated (blue), upregulated (red) or non-differentially expressed proteins (grey). (E) Graphic summarization for pathways in MerTK KO vs. control. (F) MerTK KO activates apoptosis signaling. (G) Canonical pathway analysis in MerTK KO vs. control. Color depends on z-score. Blue signifies negative value; orange signifies positive value; and grey signifies no activity pattern. Size is proportional to the number of genes that overlap the pathway. (H) Machine learning analysis for activated or inhibited disease pathways. (I–K) IPA prediction shows that MerTK KO activates premature aging, kidney failure and heart failure. Proteomics data were analyzed by IPA. Data were analyzed with GraphPad Prism 9.4.1 and shown as the mean ± SD (n = 3–5). P < 0.05 was considered statistically significant. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
    Primary Human Aortic Ecs And Smcs, supplied by Lonza, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    Proteomics in <t>HAECs</t> with MerTK gene knockout or control. ( A ) MerTK expression in HAECs incubated with <t>apoptotic</t> <t>Jurkat</t> cells for 1 h. ( B ) Immunochemical staining for MerTK expression in the aortic arch from WT mice. ( C ) Efferocytosis of apoptotic Jurkat cells by HAECs after 1 h of co-incubation. P < Apoptotic Jurkat cells were labeled with green PKH67 (Sigma) and HAECs were labeled with red PKH26 (Sigma). Green cells are apoptotic Jurkat cells that were not engulfed by HAECs. Green/red small round cells are apoptotic Jurkat cells that were engulfed by HAECs. Large red cells are HAECs. (D) Volcano plot illustration in MerTK KO vs. control. Relative protein abundance (log2) plotted against significance level (-log10 P-value), showing significantly (p < 0.05) downregulated (blue), upregulated (red) or non-differentially expressed proteins (grey). (E) Graphic summarization for pathways in MerTK KO vs. control. (F) MerTK KO activates apoptosis signaling. (G) Canonical pathway analysis in MerTK KO vs. control. Color depends on z-score. Blue signifies negative value; orange signifies positive value; and grey signifies no activity pattern. Size is proportional to the number of genes that overlap the pathway. (H) Machine learning analysis for activated or inhibited disease pathways. (I–K) IPA prediction shows that MerTK KO activates premature aging, kidney failure and heart failure. Proteomics data were analyzed by IPA. Data were analyzed with GraphPad Prism 9.4.1 and shown as the mean ± SD (n = 3–5). P < 0.05 was considered statistically significant. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
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    Proteomics in <t>HAECs</t> with MerTK gene knockout or control. ( A ) MerTK expression in HAECs incubated with <t>apoptotic</t> <t>Jurkat</t> cells for 1 h. ( B ) Immunochemical staining for MerTK expression in the aortic arch from WT mice. ( C ) Efferocytosis of apoptotic Jurkat cells by HAECs after 1 h of co-incubation. P < Apoptotic Jurkat cells were labeled with green PKH67 (Sigma) and HAECs were labeled with red PKH26 (Sigma). Green cells are apoptotic Jurkat cells that were not engulfed by HAECs. Green/red small round cells are apoptotic Jurkat cells that were engulfed by HAECs. Large red cells are HAECs. (D) Volcano plot illustration in MerTK KO vs. control. Relative protein abundance (log2) plotted against significance level (-log10 P-value), showing significantly (p < 0.05) downregulated (blue), upregulated (red) or non-differentially expressed proteins (grey). (E) Graphic summarization for pathways in MerTK KO vs. control. (F) MerTK KO activates apoptosis signaling. (G) Canonical pathway analysis in MerTK KO vs. control. Color depends on z-score. Blue signifies negative value; orange signifies positive value; and grey signifies no activity pattern. Size is proportional to the number of genes that overlap the pathway. (H) Machine learning analysis for activated or inhibited disease pathways. (I–K) IPA prediction shows that MerTK KO activates premature aging, kidney failure and heart failure. Proteomics data were analyzed by IPA. Data were analyzed with GraphPad Prism 9.4.1 and shown as the mean ± SD (n = 3–5). P < 0.05 was considered statistically significant. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
    Aortic Ecs, supplied by ATCC, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/aortic ecs/product/ATCC
    Average 96 stars, based on 1 article reviews
    aortic ecs - by Bioz Stars, 2026-03
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    Proteomics in HAECs with MerTK gene knockout or control. ( A ) MerTK expression in HAECs incubated with apoptotic Jurkat cells for 1 h. ( B ) Immunochemical staining for MerTK expression in the aortic arch from WT mice. ( C ) Efferocytosis of apoptotic Jurkat cells by HAECs after 1 h of co-incubation. P < Apoptotic Jurkat cells were labeled with green PKH67 (Sigma) and HAECs were labeled with red PKH26 (Sigma). Green cells are apoptotic Jurkat cells that were not engulfed by HAECs. Green/red small round cells are apoptotic Jurkat cells that were engulfed by HAECs. Large red cells are HAECs. (D) Volcano plot illustration in MerTK KO vs. control. Relative protein abundance (log2) plotted against significance level (-log10 P-value), showing significantly (p < 0.05) downregulated (blue), upregulated (red) or non-differentially expressed proteins (grey). (E) Graphic summarization for pathways in MerTK KO vs. control. (F) MerTK KO activates apoptosis signaling. (G) Canonical pathway analysis in MerTK KO vs. control. Color depends on z-score. Blue signifies negative value; orange signifies positive value; and grey signifies no activity pattern. Size is proportional to the number of genes that overlap the pathway. (H) Machine learning analysis for activated or inhibited disease pathways. (I–K) IPA prediction shows that MerTK KO activates premature aging, kidney failure and heart failure. Proteomics data were analyzed by IPA. Data were analyzed with GraphPad Prism 9.4.1 and shown as the mean ± SD (n = 3–5). P < 0.05 was considered statistically significant. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)

    Journal: Redox Biology

    Article Title: Big data analytics for MerTK genomics reveals its double-edged sword functions in human diseases

    doi: 10.1016/j.redox.2024.103061

    Figure Lengend Snippet: Proteomics in HAECs with MerTK gene knockout or control. ( A ) MerTK expression in HAECs incubated with apoptotic Jurkat cells for 1 h. ( B ) Immunochemical staining for MerTK expression in the aortic arch from WT mice. ( C ) Efferocytosis of apoptotic Jurkat cells by HAECs after 1 h of co-incubation. P < Apoptotic Jurkat cells were labeled with green PKH67 (Sigma) and HAECs were labeled with red PKH26 (Sigma). Green cells are apoptotic Jurkat cells that were not engulfed by HAECs. Green/red small round cells are apoptotic Jurkat cells that were engulfed by HAECs. Large red cells are HAECs. (D) Volcano plot illustration in MerTK KO vs. control. Relative protein abundance (log2) plotted against significance level (-log10 P-value), showing significantly (p < 0.05) downregulated (blue), upregulated (red) or non-differentially expressed proteins (grey). (E) Graphic summarization for pathways in MerTK KO vs. control. (F) MerTK KO activates apoptosis signaling. (G) Canonical pathway analysis in MerTK KO vs. control. Color depends on z-score. Blue signifies negative value; orange signifies positive value; and grey signifies no activity pattern. Size is proportional to the number of genes that overlap the pathway. (H) Machine learning analysis for activated or inhibited disease pathways. (I–K) IPA prediction shows that MerTK KO activates premature aging, kidney failure and heart failure. Proteomics data were analyzed by IPA. Data were analyzed with GraphPad Prism 9.4.1 and shown as the mean ± SD (n = 3–5). P < 0.05 was considered statistically significant. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)

    Article Snippet: Primary human aortic ECs (HAECs) and the human Jurkat cell line were purchased from ATCC (Manassas, VA, USA).

    Techniques: Gene Knockout, Control, Expressing, Incubation, Staining, Labeling, Quantitative Proteomics, Activity Assay