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rabbit polyclonal anti-ciap2 h-85  (Santa Cruz Biotechnology)


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    Santa Cruz Biotechnology rabbit polyclonal anti-ciap2 h-85
    Rabbit Polyclonal Anti Ciap2 H 85, supplied by Santa Cruz Biotechnology, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/polyclonal+rabbit+anti+ciap2+antibody/pmc01665446-57-5-13?v=Santa+Cruz+Biotechnology
    Average 90 stars, based on 1 article reviews
    rabbit polyclonal anti-ciap2 h-85 - by Bioz Stars, 2026-08
    90/100 stars

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    Histograms showing cIAP1, <t>cIAP2</t> and Survivin transactivation (QPCR analysis) in SH-SY5Y and IMR-32 cells exposed to 2Gy with or without EF24 treatment, transfected with RelA siRNA or treated with TNFR1 Ab and exposed to 2Gy. The ΔΔ ct values were calculated by normalizing the gene expression levels to internal housekeeping gene ( β-actin ), compared between groups, and the relative expression level was expressed as a fold change over mock-IR cells. Groups were compared using ANOVA with Tukey’s Post-hoc correction.
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    Image Search Results


    (A) Differences in the number of clinicopathological variables between high and low NI groups; (B–F) differential expression of BIRC3 in clinicopathological variables (such as Grade, Stage, TMN); (G–M) differential expression of BIRC3 in clinicopathological variables in GEO test datasets; (N) line chart for the relative expression of BIRC3 in ccRCC tissues ( n = 15) and normal tissues ( n = 15); (O) bar plot for the relative expression of BIRC3 in ccRCC cell lines and normal HK2 cell line. Biological replicates. Error bars represent one SD from the mean.

    Journal: PeerJ

    Article Title: Identification and validation of prognostic and tumor microenvironment characteristics of necroptosis index and BIRC3 in clear cell renal cell carcinoma

    doi: 10.7717/peerj.16643

    Figure Lengend Snippet: (A) Differences in the number of clinicopathological variables between high and low NI groups; (B–F) differential expression of BIRC3 in clinicopathological variables (such as Grade, Stage, TMN); (G–M) differential expression of BIRC3 in clinicopathological variables in GEO test datasets; (N) line chart for the relative expression of BIRC3 in ccRCC tissues ( n = 15) and normal tissues ( n = 15); (O) bar plot for the relative expression of BIRC3 in ccRCC cell lines and normal HK2 cell line. Biological replicates. Error bars represent one SD from the mean.

    Article Snippet: The primary antibodies used in this study were as follows: rabbit polyclonal BIRC3 (24304-1-AP; Proteintech, Wuhan, China) and mouse monoclonal GAPDH (60004-1-Ig; Proteintech, Wuhan, China).

    Techniques: Quantitative Proteomics, Expressing

    (A) Differences in MDSC, Macrophage and Regulatory.T.cell between high and low BIRC3 groups, error bars represent the mean; (B) scatter plot revealing the correlation of BIRC3 and immune cells (Regulatory.T.cell Macrophage and MDSC); (C) differences in PDCD1, CTLA4 and CD274 between high and low BIRC3 groups, error bars represent the mean; (D) scatter plot revealing the correlation of BIRC3 and immune checkpoints (CD274, CTLA4 and PDCD1); (E) differences in TME scores between high and low BIRC3 groups, error bars represent one SD from the mean; (F) gene set enrichment analysis of BIRC3; (G) the volcano map showed the drugs associated with BIRC3. Red represented positive correlation; blue represented negative correlation.

    Journal: PeerJ

    Article Title: Identification and validation of prognostic and tumor microenvironment characteristics of necroptosis index and BIRC3 in clear cell renal cell carcinoma

    doi: 10.7717/peerj.16643

    Figure Lengend Snippet: (A) Differences in MDSC, Macrophage and Regulatory.T.cell between high and low BIRC3 groups, error bars represent the mean; (B) scatter plot revealing the correlation of BIRC3 and immune cells (Regulatory.T.cell Macrophage and MDSC); (C) differences in PDCD1, CTLA4 and CD274 between high and low BIRC3 groups, error bars represent the mean; (D) scatter plot revealing the correlation of BIRC3 and immune checkpoints (CD274, CTLA4 and PDCD1); (E) differences in TME scores between high and low BIRC3 groups, error bars represent one SD from the mean; (F) gene set enrichment analysis of BIRC3; (G) the volcano map showed the drugs associated with BIRC3. Red represented positive correlation; blue represented negative correlation.

    Article Snippet: The primary antibodies used in this study were as follows: rabbit polyclonal BIRC3 (24304-1-AP; Proteintech, Wuhan, China) and mouse monoclonal GAPDH (60004-1-Ig; Proteintech, Wuhan, China).

    Techniques:

    (A–F) The expression of BIRC3 was downregulated in A498 and 786-O cells, as determined by RT-qPCR and Western blot; (G and H) BIRC3-knockdown suppressed ccRCC cell proliferation in A498 and 786-O cells; (I and J) BIRC3-knockdown suppressed ccRCC cell metastasis in A498 and 786-O cells. * P < 0.05, ** P < 0.01, *** P < 0.001; (K and L) wound healing assay was used to detect the effect of BIRC3-knockdown on ccRCC cell migration. Cell migration ability was represented by the wound gap distance in microscopic field at the time points of 0 and 24 h. (Biological replicates).

    Journal: PeerJ

    Article Title: Identification and validation of prognostic and tumor microenvironment characteristics of necroptosis index and BIRC3 in clear cell renal cell carcinoma

    doi: 10.7717/peerj.16643

    Figure Lengend Snippet: (A–F) The expression of BIRC3 was downregulated in A498 and 786-O cells, as determined by RT-qPCR and Western blot; (G and H) BIRC3-knockdown suppressed ccRCC cell proliferation in A498 and 786-O cells; (I and J) BIRC3-knockdown suppressed ccRCC cell metastasis in A498 and 786-O cells. * P < 0.05, ** P < 0.01, *** P < 0.001; (K and L) wound healing assay was used to detect the effect of BIRC3-knockdown on ccRCC cell migration. Cell migration ability was represented by the wound gap distance in microscopic field at the time points of 0 and 24 h. (Biological replicates).

    Article Snippet: The primary antibodies used in this study were as follows: rabbit polyclonal BIRC3 (24304-1-AP; Proteintech, Wuhan, China) and mouse monoclonal GAPDH (60004-1-Ig; Proteintech, Wuhan, China).

    Techniques: Expressing, Quantitative RT-PCR, Western Blot, Knockdown, Wound Healing Assay, Migration

    (A) “Harmony” and UMAP algorithm to remove batch effects and gathered a total of 26 clusters; (B) single-cell RNA-seq illustrated the distribution of necroptosis index by “AddModuleScore” algorithm in ccRCC; (C and D) necroptosis index wa s significantly up-regulated in ccRCC tumors tissues compared with normal samples both in all cells and tumor cells; (E and F) Single-cell RNA-seq illustrated the distribution of BIRC3 by “AddModuleScore” algorithm in ccRCC and normal tissues; (G and H) BIRC3 was significantly up-regulated in ccRCC tumors tissues compared with normal samples both in all cells and tumor cells; (I) the cell proportion among different patients and correlations of BIRC3 expression level.

    Journal: PeerJ

    Article Title: Identification and validation of prognostic and tumor microenvironment characteristics of necroptosis index and BIRC3 in clear cell renal cell carcinoma

    doi: 10.7717/peerj.16643

    Figure Lengend Snippet: (A) “Harmony” and UMAP algorithm to remove batch effects and gathered a total of 26 clusters; (B) single-cell RNA-seq illustrated the distribution of necroptosis index by “AddModuleScore” algorithm in ccRCC; (C and D) necroptosis index wa s significantly up-regulated in ccRCC tumors tissues compared with normal samples both in all cells and tumor cells; (E and F) Single-cell RNA-seq illustrated the distribution of BIRC3 by “AddModuleScore” algorithm in ccRCC and normal tissues; (G and H) BIRC3 was significantly up-regulated in ccRCC tumors tissues compared with normal samples both in all cells and tumor cells; (I) the cell proportion among different patients and correlations of BIRC3 expression level.

    Article Snippet: The primary antibodies used in this study were as follows: rabbit polyclonal BIRC3 (24304-1-AP; Proteintech, Wuhan, China) and mouse monoclonal GAPDH (60004-1-Ig; Proteintech, Wuhan, China).

    Techniques: RNA Sequencing, Expressing

    Histograms showing cIAP1, cIAP2 and Survivin transactivation (QPCR analysis) in SH-SY5Y and IMR-32 cells exposed to 2Gy with or without EF24 treatment, transfected with RelA siRNA or treated with TNFR1 Ab and exposed to 2Gy. The ΔΔ ct values were calculated by normalizing the gene expression levels to internal housekeeping gene ( β-actin ), compared between groups, and the relative expression level was expressed as a fold change over mock-IR cells. Groups were compared using ANOVA with Tukey’s Post-hoc correction.

    Journal: PLoS ONE

    Article Title: Novel Synthetic Monoketone Transmute Radiation-Triggered NFκB-Dependent TNFα Cross-Signaling Feedback Maintained NFκB and Favors Neuroblastoma Regression

    doi: 10.1371/journal.pone.0072464

    Figure Lengend Snippet: Histograms showing cIAP1, cIAP2 and Survivin transactivation (QPCR analysis) in SH-SY5Y and IMR-32 cells exposed to 2Gy with or without EF24 treatment, transfected with RelA siRNA or treated with TNFR1 Ab and exposed to 2Gy. The ΔΔ ct values were calculated by normalizing the gene expression levels to internal housekeeping gene ( β-actin ), compared between groups, and the relative expression level was expressed as a fold change over mock-IR cells. Groups were compared using ANOVA with Tukey’s Post-hoc correction.

    Article Snippet: For this study, the protein transferred membranes were incubated with rabbit polyclonal anti-cIAP1, cIAP2, Survivin or mouse polyclonal anti-pIκBα antibody (Santa Cruz).

    Techniques: Transfection, Gene Expression, Expressing