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sw1222  (CancerTools Org)


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    Structured Review

    CancerTools Org sw1222
    Sw1222, supplied by CancerTools Org, used in various techniques. Bioz Stars score: 99/100, based on 276 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/sw1222/cancertools+org___152434?v=CancerTools+Org
    Average 99 stars, based on 276 article reviews
    sw1222 - by Bioz Stars, 2026-07
    99/100 stars

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    CancerTools Org sw1222
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    CancerTools Org sw1222 cells
    ( A ) Volcano plot of differentially expressed genes identified by RNA-seq from HCT116 cells transfected with siCTRL or siZMAT3 for 72 hr. Significantly differentially expressed genes ( P <0.05) are shown in red. ( B ) GSEA of the top 500 significantly upregulated genes ( p <0.05) upon ZMAT3 knockdown with siRNAs in HCT116 cells identified by RNA-seq. ( C, D ) Venn diagrams showing overlap between the indicated RNA-Seq data sets. A total of 1023 significant upregulated ( C ) and 1042 significant downregulated ( D ) genes were shared between the ZMAT3 -KO/ ZMAT3 -WT and siZMAT3/siCTRL comparisons. ( E ) Top significantly enriched pathways identified by GSEA of the top 500 most significantly upregulated genes ( p <0.05) commonly shared between the ZMAT3 -KO/ ZMAT3 -WT and siZMAT3/siCTRL comparisons RNA-seq datasets. ( F, G ) Immunoblotting of whole-cell lysates from <t>SW1222</t> and HCEC-1CT cells following siRNA-mediated knockdown of ZMAT3 or HKDC1 for 72 hr. GAPDH served as the loading control. ( H, I ) ZMAT3 and HKDC1 mRNA levels in colorectal cancer (CRC) patient samples from the TCGA COAD cohort comparing p53-WT (wild-type) and p53-mutant tumors. ‘N’ denotes the number of samples in each group. Figure 2—figure supplement 1—source data 1. Uncropped immunoblots for . Figure 2—figure supplement 1—source data 2. Uncropped immunoblots for .
    Sw1222 Cells, supplied by CancerTools Org, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/sw1222/pmc12995290-192-16-21?v=CancerTools+Org
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    sw1222 cells - by Bioz Stars, 2026-07
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      Buy from Supplier

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    ( A ) Volcano plot of differentially expressed genes identified by RNA-seq from HCT116 cells transfected with siCTRL or siZMAT3 for 72 hr. Significantly differentially expressed genes ( P <0.05) are shown in red. ( B ) GSEA of the top 500 significantly upregulated genes ( p <0.05) upon ZMAT3 knockdown with siRNAs in HCT116 cells identified by RNA-seq. ( C, D ) Venn diagrams showing overlap between the indicated RNA-Seq data sets. A total of 1023 significant upregulated ( C ) and 1042 significant downregulated ( D ) genes were shared between the ZMAT3 -KO/ ZMAT3 -WT and siZMAT3/siCTRL comparisons. ( E ) Top significantly enriched pathways identified by GSEA of the top 500 most significantly upregulated genes ( p <0.05) commonly shared between the ZMAT3 -KO/ ZMAT3 -WT and siZMAT3/siCTRL comparisons RNA-seq datasets. ( F, G ) Immunoblotting of whole-cell lysates from SW1222 and HCEC-1CT cells following siRNA-mediated knockdown of ZMAT3 or HKDC1 for 72 hr. GAPDH served as the loading control. ( H, I ) ZMAT3 and HKDC1 mRNA levels in colorectal cancer (CRC) patient samples from the TCGA COAD cohort comparing p53-WT (wild-type) and p53-mutant tumors. ‘N’ denotes the number of samples in each group. Figure 2—figure supplement 1—source data 1. Uncropped immunoblots for . Figure 2—figure supplement 1—source data 2. Uncropped immunoblots for .

    Journal: eLife

    Article Title: p53-induced RNA-binding protein ZMAT3 inhibits transcription of a hexokinase to suppress mitochondrial respiration in human cancer cells

    doi: 10.7554/eLife.107538

    Figure Lengend Snippet: ( A ) Volcano plot of differentially expressed genes identified by RNA-seq from HCT116 cells transfected with siCTRL or siZMAT3 for 72 hr. Significantly differentially expressed genes ( P <0.05) are shown in red. ( B ) GSEA of the top 500 significantly upregulated genes ( p <0.05) upon ZMAT3 knockdown with siRNAs in HCT116 cells identified by RNA-seq. ( C, D ) Venn diagrams showing overlap between the indicated RNA-Seq data sets. A total of 1023 significant upregulated ( C ) and 1042 significant downregulated ( D ) genes were shared between the ZMAT3 -KO/ ZMAT3 -WT and siZMAT3/siCTRL comparisons. ( E ) Top significantly enriched pathways identified by GSEA of the top 500 most significantly upregulated genes ( p <0.05) commonly shared between the ZMAT3 -KO/ ZMAT3 -WT and siZMAT3/siCTRL comparisons RNA-seq datasets. ( F, G ) Immunoblotting of whole-cell lysates from SW1222 and HCEC-1CT cells following siRNA-mediated knockdown of ZMAT3 or HKDC1 for 72 hr. GAPDH served as the loading control. ( H, I ) ZMAT3 and HKDC1 mRNA levels in colorectal cancer (CRC) patient samples from the TCGA COAD cohort comparing p53-WT (wild-type) and p53-mutant tumors. ‘N’ denotes the number of samples in each group. Figure 2—figure supplement 1—source data 1. Uncropped immunoblots for . Figure 2—figure supplement 1—source data 2. Uncropped immunoblots for .

    Article Snippet: HCEC-1CT, HepG2, HCT116, and HEK293T cells were purchased from the American Type Culture Collection (ATCC), and SW1222 cells were purchased from https://cancertools.org/ .

    Techniques: RNA Sequencing, Transfection, Knockdown, Western Blot, Control, Mutagenesis