p erk1 2  (Cell Signaling Technology Inc)


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    Cell Signaling Technology Inc p erk1 2
    P Erk1 2, supplied by Cell Signaling Technology Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    p erk1 2  (Cell Signaling Technology Inc)


    Bioz Manufacturer Symbol Cell Signaling Technology Inc manufactures this product  
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    Cell Signaling Technology Inc p erk1 2
    P Erk1 2, supplied by Cell Signaling Technology Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    Average 86 stars, based on 1 article reviews
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    p erk1 2  (Cell Signaling Technology Inc)


    Bioz Manufacturer Symbol Cell Signaling Technology Inc manufactures this product  
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    Cell Signaling Technology Inc p erk1 2
    P Erk1 2, supplied by Cell Signaling Technology Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    p erk1 2  (Cell Signaling Technology Inc)


    Bioz Manufacturer Symbol Cell Signaling Technology Inc manufactures this product  
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    Cell Signaling Technology Inc p erk1 2
    P Erk1 2, supplied by Cell Signaling Technology Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    Average 86 stars, based on 1 article reviews
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    p erk1 2  (Cell Signaling Technology Inc)


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    Cell Signaling Technology Inc p erk1 2
    P Erk1 2, supplied by Cell Signaling Technology Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    anti p erk1 2  (Cell Signaling Technology Inc)


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    Cell Signaling Technology Inc anti p erk1 2
    Anti P Erk1 2, supplied by Cell Signaling Technology Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    p erk1 2  (Cell Signaling Technology Inc)


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    Cell Signaling Technology Inc p erk1 2
    IGF2 deficiency regulated the transcription of senescence, inflammation and mitochondrial function. RNA-Seq was performed in the liver tissues of IGF2 f/f + d -gal and IGF2 f/f Cre + d -gal mice (n = 3 per group). A Volcano plot showing DEGs and labeling top 20 DEGs. The red and blue dots indicated upregulated and downregulated genes, respectively. GO analysis of the upregulated DEGs ( B ) and downregulated DEGs ( C ). A heatmap showed genes associated senescence and inflammatory ( D ), mitochondrial oxidative phosphorylation and ATP metabolic process ( E ). GSEA and pathway enrichment analysis of pathways related to mitochondrial gene expression ( F ), oxidative phosphorylation ( G ), and ATP metabolic process ( H ). I Western blotting analysis for the protein levels of AKT, <t>p-AKT,</t> <t>ERK1/2,</t> p-ERK1/2, p38 and p-p38 (n = 5–7 per group). The quantitative data are presented. Data are shown as means ± SEM. One-way ANOVA was used for comparison among multiple groups. * P < 0.05, ** P < 0.01, *** P < 0.001
    P Erk1 2, supplied by Cell Signaling Technology Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    1) Product Images from "IGF2 deficiency promotes liver aging through mitochondrial dysfunction and upregulated CEBPB signaling in d -galactose-induced aging mice"

    Article Title: IGF2 deficiency promotes liver aging through mitochondrial dysfunction and upregulated CEBPB signaling in d -galactose-induced aging mice

    Journal: Molecular Medicine

    doi: 10.1186/s10020-023-00752-0

    IGF2 deficiency regulated the transcription of senescence, inflammation and mitochondrial function. RNA-Seq was performed in the liver tissues of IGF2 f/f + d -gal and IGF2 f/f Cre + d -gal mice (n = 3 per group). A Volcano plot showing DEGs and labeling top 20 DEGs. The red and blue dots indicated upregulated and downregulated genes, respectively. GO analysis of the upregulated DEGs ( B ) and downregulated DEGs ( C ). A heatmap showed genes associated senescence and inflammatory ( D ), mitochondrial oxidative phosphorylation and ATP metabolic process ( E ). GSEA and pathway enrichment analysis of pathways related to mitochondrial gene expression ( F ), oxidative phosphorylation ( G ), and ATP metabolic process ( H ). I Western blotting analysis for the protein levels of AKT, p-AKT, ERK1/2, p-ERK1/2, p38 and p-p38 (n = 5–7 per group). The quantitative data are presented. Data are shown as means ± SEM. One-way ANOVA was used for comparison among multiple groups. * P < 0.05, ** P < 0.01, *** P < 0.001
    Figure Legend Snippet: IGF2 deficiency regulated the transcription of senescence, inflammation and mitochondrial function. RNA-Seq was performed in the liver tissues of IGF2 f/f + d -gal and IGF2 f/f Cre + d -gal mice (n = 3 per group). A Volcano plot showing DEGs and labeling top 20 DEGs. The red and blue dots indicated upregulated and downregulated genes, respectively. GO analysis of the upregulated DEGs ( B ) and downregulated DEGs ( C ). A heatmap showed genes associated senescence and inflammatory ( D ), mitochondrial oxidative phosphorylation and ATP metabolic process ( E ). GSEA and pathway enrichment analysis of pathways related to mitochondrial gene expression ( F ), oxidative phosphorylation ( G ), and ATP metabolic process ( H ). I Western blotting analysis for the protein levels of AKT, p-AKT, ERK1/2, p-ERK1/2, p38 and p-p38 (n = 5–7 per group). The quantitative data are presented. Data are shown as means ± SEM. One-way ANOVA was used for comparison among multiple groups. * P < 0.05, ** P < 0.01, *** P < 0.001

    Techniques Used: RNA Sequencing Assay, Labeling, Expressing, Western Blot, Comparison

    IGF2 deficiency promotes liver aging through mitochondrial dysfunction and upregulated CEBPB signaling. Schematic model: A during natural aging, the protein level of IGF2 is significantly decreased in the aged livers of old mice. B IGF2 deficiency in the liver leads to mitochondrial dysfunction, which leads to oxidative stress and cellular damage. Subsequently, oxidative stress and cellular damage are likely to activate ERK1/2 pathway and further upregulate CEBPB signaling, leading to senescence phenotypes and senescence-associated secretory phenotypes
    Figure Legend Snippet: IGF2 deficiency promotes liver aging through mitochondrial dysfunction and upregulated CEBPB signaling. Schematic model: A during natural aging, the protein level of IGF2 is significantly decreased in the aged livers of old mice. B IGF2 deficiency in the liver leads to mitochondrial dysfunction, which leads to oxidative stress and cellular damage. Subsequently, oxidative stress and cellular damage are likely to activate ERK1/2 pathway and further upregulate CEBPB signaling, leading to senescence phenotypes and senescence-associated secretory phenotypes

    Techniques Used:

    p erk1 2  (Cell Signaling Technology Inc)


    Bioz Manufacturer Symbol Cell Signaling Technology Inc manufactures this product  
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    Cell Signaling Technology Inc p erk1 2
    P Erk1 2, supplied by Cell Signaling Technology Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/p erk1 2/product/Cell Signaling Technology Inc
    Average 86 stars, based on 1 article reviews
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    p erk1 2  (Cell Signaling Technology Inc)


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    Cell Signaling Technology Inc p erk1 2
    a mRNA (left panel) and protein (right panel) levels of representative senescence markers (p53, p21 Waf1 , and p16 INK4A ) in young, mid-old, and old cells are shown. b Relative distances represented as VST using count data from young, mid-old, and old samples are shown ( n = 2, each). c GSEA using the “FRIDMAN: senescence up” gene set in old vs . young (left panel), old vs . mid-old (middle panel), and mid-old vs . young cells (right panel) (adjp = 0.0029, 0.016, and 0.53, respectively). d NES calculated from GSEA using gene sets representing fibroblast functions are presented. The gene sets include “CYCLE” representing self-replicative ability, “ECM” representing ECM productive ability, “TISSUE” representing tissue regeneration ability, and “INFLAM” representing inflammation-regulating ability. Used gene sets and related statistics for this analysis can be found in Supplementary Data . e , f GSEA of old vs . young, old vs . mid-old, and mid-old vs . young using the “HALLMARK: inflammatory response” gene set is shown (adjp = 0.0075, 0.0087 for ( e ), and 0.31 for ( f ), respectively). g GSEA of mid-old vs . young using the “REACTOME: interleukin 1 signaling pathway” gene set is shown (adjp = 0.018). h NES calculated from GSEA using gene sets representing the inflammatory pathway are shown. Used gene sets and related statistics in this analysis can be found in Supplementary Data . i The mRNA levels of multiple inflammatory pathways related genes and SAA1 protein level were analyzed by real time PCR and ELISA analysis. j A list of analyzed genes that act as anti-inflammatory chemokines and cytokines used in this study is shown (left panel). The mRNA levels of the listed genes are shown (middle panel). ELISA analysis of SLIT2 in young, mid-old, and old cells (right lower panel). k A schematic image illustrating the characteristics of young, mid-old, and old cells with representative gene expression. l GSEA using the “GOBP: nuclear transport” gene set in mid-old vs . young (left panel), old vs. young (middle panel) and old vs . mid-old (right panel) cells is shown (adjp = 0.085, 0.046, and 0.042, respectively). m The mRNA expression of nuclear transport-related genes in RNA-seq (upper panel). The figures in the box represent FPKM counts. S1-6 represents the subunits of the importin α. Real-time PCR results of nuclear transport-related genes are shown (lower panel). <t>n</t> <t>Erk1/2</t> phosphorylation and nuclear translocation were analyzed after serum stimulation for 30 min (upper panel). Quantification of the number of cells with p-Erk1/2 nuclear translocation (lower left panel). p-Erk1/2 level was analyzed by western blot (lower right panel). o Investigation of p-Erk1/2 translocation dynamics. Schematic illustration of Erk1/2-KTR-mClover system and kinetic parameters (left upper and left lower). Young ( n = 4), mid-old ( n = 6), and old ( n = 3) cells were assessed with the system, respectively. Three independent experiments were repeated. Representative images of Erk1/2-KTR-mClover translocation (right upper). Erk1/2-KTR-mClover translocation C/N curves for each cell type (middle). Cells were starved for 24 h with serum free media prior to experiments. Fluorescent images were acquired every 15 sec for 30 min after serum stimulation. Comparison of translocation kinetic parameters between cell types (lower panel). The p value in ( a ), ( i ), ( j ), and ( m – o ) was calculated using the one-tailed Mann–Whitney U -test. The p values in ( c – h ), and ( i ) are obtained using GSEA statistics in ‘fgsea’ package. ES enrichment score, NES normalized enrichment score, adjp = adjusted p value. The graph in ( a ), ( i ), ( j ), and ( m – o ) was represented as mean ± SD. A thousand times of permutations were performed for adjustment in ( c – h ) and ( l ).
    P Erk1 2, supplied by Cell Signaling Technology Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/p erk1 2/product/Cell Signaling Technology Inc
    Average 86 stars, based on 1 article reviews
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    p erk1 2 - by Bioz Stars, 2023-12
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    1) Product Images from "Mid-old cells are a potential target for anti-aging interventions in the elderly"

    Article Title: Mid-old cells are a potential target for anti-aging interventions in the elderly

    Journal: Nature Communications

    doi: 10.1038/s41467-023-43491-w

    a mRNA (left panel) and protein (right panel) levels of representative senescence markers (p53, p21 Waf1 , and p16 INK4A ) in young, mid-old, and old cells are shown. b Relative distances represented as VST using count data from young, mid-old, and old samples are shown ( n = 2, each). c GSEA using the “FRIDMAN: senescence up” gene set in old vs . young (left panel), old vs . mid-old (middle panel), and mid-old vs . young cells (right panel) (adjp = 0.0029, 0.016, and 0.53, respectively). d NES calculated from GSEA using gene sets representing fibroblast functions are presented. The gene sets include “CYCLE” representing self-replicative ability, “ECM” representing ECM productive ability, “TISSUE” representing tissue regeneration ability, and “INFLAM” representing inflammation-regulating ability. Used gene sets and related statistics for this analysis can be found in Supplementary Data . e , f GSEA of old vs . young, old vs . mid-old, and mid-old vs . young using the “HALLMARK: inflammatory response” gene set is shown (adjp = 0.0075, 0.0087 for ( e ), and 0.31 for ( f ), respectively). g GSEA of mid-old vs . young using the “REACTOME: interleukin 1 signaling pathway” gene set is shown (adjp = 0.018). h NES calculated from GSEA using gene sets representing the inflammatory pathway are shown. Used gene sets and related statistics in this analysis can be found in Supplementary Data . i The mRNA levels of multiple inflammatory pathways related genes and SAA1 protein level were analyzed by real time PCR and ELISA analysis. j A list of analyzed genes that act as anti-inflammatory chemokines and cytokines used in this study is shown (left panel). The mRNA levels of the listed genes are shown (middle panel). ELISA analysis of SLIT2 in young, mid-old, and old cells (right lower panel). k A schematic image illustrating the characteristics of young, mid-old, and old cells with representative gene expression. l GSEA using the “GOBP: nuclear transport” gene set in mid-old vs . young (left panel), old vs. young (middle panel) and old vs . mid-old (right panel) cells is shown (adjp = 0.085, 0.046, and 0.042, respectively). m The mRNA expression of nuclear transport-related genes in RNA-seq (upper panel). The figures in the box represent FPKM counts. S1-6 represents the subunits of the importin α. Real-time PCR results of nuclear transport-related genes are shown (lower panel). n Erk1/2 phosphorylation and nuclear translocation were analyzed after serum stimulation for 30 min (upper panel). Quantification of the number of cells with p-Erk1/2 nuclear translocation (lower left panel). p-Erk1/2 level was analyzed by western blot (lower right panel). o Investigation of p-Erk1/2 translocation dynamics. Schematic illustration of Erk1/2-KTR-mClover system and kinetic parameters (left upper and left lower). Young ( n = 4), mid-old ( n = 6), and old ( n = 3) cells were assessed with the system, respectively. Three independent experiments were repeated. Representative images of Erk1/2-KTR-mClover translocation (right upper). Erk1/2-KTR-mClover translocation C/N curves for each cell type (middle). Cells were starved for 24 h with serum free media prior to experiments. Fluorescent images were acquired every 15 sec for 30 min after serum stimulation. Comparison of translocation kinetic parameters between cell types (lower panel). The p value in ( a ), ( i ), ( j ), and ( m – o ) was calculated using the one-tailed Mann–Whitney U -test. The p values in ( c – h ), and ( i ) are obtained using GSEA statistics in ‘fgsea’ package. ES enrichment score, NES normalized enrichment score, adjp = adjusted p value. The graph in ( a ), ( i ), ( j ), and ( m – o ) was represented as mean ± SD. A thousand times of permutations were performed for adjustment in ( c – h ) and ( l ).
    Figure Legend Snippet: a mRNA (left panel) and protein (right panel) levels of representative senescence markers (p53, p21 Waf1 , and p16 INK4A ) in young, mid-old, and old cells are shown. b Relative distances represented as VST using count data from young, mid-old, and old samples are shown ( n = 2, each). c GSEA using the “FRIDMAN: senescence up” gene set in old vs . young (left panel), old vs . mid-old (middle panel), and mid-old vs . young cells (right panel) (adjp = 0.0029, 0.016, and 0.53, respectively). d NES calculated from GSEA using gene sets representing fibroblast functions are presented. The gene sets include “CYCLE” representing self-replicative ability, “ECM” representing ECM productive ability, “TISSUE” representing tissue regeneration ability, and “INFLAM” representing inflammation-regulating ability. Used gene sets and related statistics for this analysis can be found in Supplementary Data . e , f GSEA of old vs . young, old vs . mid-old, and mid-old vs . young using the “HALLMARK: inflammatory response” gene set is shown (adjp = 0.0075, 0.0087 for ( e ), and 0.31 for ( f ), respectively). g GSEA of mid-old vs . young using the “REACTOME: interleukin 1 signaling pathway” gene set is shown (adjp = 0.018). h NES calculated from GSEA using gene sets representing the inflammatory pathway are shown. Used gene sets and related statistics in this analysis can be found in Supplementary Data . i The mRNA levels of multiple inflammatory pathways related genes and SAA1 protein level were analyzed by real time PCR and ELISA analysis. j A list of analyzed genes that act as anti-inflammatory chemokines and cytokines used in this study is shown (left panel). The mRNA levels of the listed genes are shown (middle panel). ELISA analysis of SLIT2 in young, mid-old, and old cells (right lower panel). k A schematic image illustrating the characteristics of young, mid-old, and old cells with representative gene expression. l GSEA using the “GOBP: nuclear transport” gene set in mid-old vs . young (left panel), old vs. young (middle panel) and old vs . mid-old (right panel) cells is shown (adjp = 0.085, 0.046, and 0.042, respectively). m The mRNA expression of nuclear transport-related genes in RNA-seq (upper panel). The figures in the box represent FPKM counts. S1-6 represents the subunits of the importin α. Real-time PCR results of nuclear transport-related genes are shown (lower panel). n Erk1/2 phosphorylation and nuclear translocation were analyzed after serum stimulation for 30 min (upper panel). Quantification of the number of cells with p-Erk1/2 nuclear translocation (lower left panel). p-Erk1/2 level was analyzed by western blot (lower right panel). o Investigation of p-Erk1/2 translocation dynamics. Schematic illustration of Erk1/2-KTR-mClover system and kinetic parameters (left upper and left lower). Young ( n = 4), mid-old ( n = 6), and old ( n = 3) cells were assessed with the system, respectively. Three independent experiments were repeated. Representative images of Erk1/2-KTR-mClover translocation (right upper). Erk1/2-KTR-mClover translocation C/N curves for each cell type (middle). Cells were starved for 24 h with serum free media prior to experiments. Fluorescent images were acquired every 15 sec for 30 min after serum stimulation. Comparison of translocation kinetic parameters between cell types (lower panel). The p value in ( a ), ( i ), ( j ), and ( m – o ) was calculated using the one-tailed Mann–Whitney U -test. The p values in ( c – h ), and ( i ) are obtained using GSEA statistics in ‘fgsea’ package. ES enrichment score, NES normalized enrichment score, adjp = adjusted p value. The graph in ( a ), ( i ), ( j ), and ( m – o ) was represented as mean ± SD. A thousand times of permutations were performed for adjustment in ( c – h ) and ( l ).

    Techniques Used: Real-time Polymerase Chain Reaction, Enzyme-linked Immunosorbent Assay, Expressing, RNA Sequencing Assay, Translocation Assay, Western Blot, Comparison, One-tailed Test, MANN-WHITNEY

    p erk1 2  (Cell Signaling Technology Inc)


    Bioz Manufacturer Symbol Cell Signaling Technology Inc manufactures this product  
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    Cell Signaling Technology Inc p erk1 2
    P Erk1 2, supplied by Cell Signaling Technology Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    Average 86 stars, based on 1 article reviews
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