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rabbit anti mouse il 1β antibody  (Proteintech)


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    Structured Review

    Proteintech rabbit anti mouse il 1β antibody
    Rabbit Anti Mouse Il 1β Antibody, supplied by Proteintech, used in various techniques. Bioz Stars score: 96/100, based on 2005 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/rabbit anti mouse il 1β antibody/product/Proteintech
    Average 96 stars, based on 2005 article reviews
    rabbit anti mouse il 1β antibody - by Bioz Stars, 2026-02
    96/100 stars

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    Fig. 1. Twenty-four-hour urine protein levels in each group over 12 weeks. Data are presented as the means ± standard deviations. CTL: control; IFM: inflammation; ADR: Adriamycin-induced nephrosis; AWI: Adriamycin-induced nephrosis with inflammation. n = 8 per group; *P < 0.05 vs. the control; ▲P < 0.05 vs. the AWI group at the same time point.
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    Fig. 1. Twenty-four-hour urine protein levels in each group over 12 weeks. Data are presented as the means ± standard deviations. CTL: control; IFM: inflammation; ADR: Adriamycin-induced nephrosis; AWI: Adriamycin-induced nephrosis with inflammation. n = 8 per group; *P < 0.05 vs. the control; ▲P < 0.05 vs. the AWI group at the same time point.
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    ( A ) Graphic illustration of the workflow to profile age-associated metabolites in brain tissue, liver tissue and serum from mice at different ages using LC-MS. Age-associated metabolites were screened by Kruskal-Wallis test ( P < 0.05) and Spearman correlation ( P < 0.05). w, weeks; m / z , mass/charge ratio. ( B ) Pathway enrichment analyses of age-associated metabolites from mouse brain, liver, and serum (hypergeometric test, *** P < 0.001, ** P < 0.01, and * P < 0.05). TCA, tricarboxylic acid. ( C ) Age-associated metabolites were screened by Kruskal-Wallis test ( P < 0.05) and Spearman correlation ( P < 0.05). Red dots (brain, n = 26; liver, n = 46; serum, n = 21) and blue dots (brain, n = 49; liver, n = 60; serum, n = 59) represent metabolites that were increased and decreased over the age, respectively. Black dots represent unchanged metabolites. ( D ) Venn diagram for the overlap of age-associated metabolites in mouse brain, liver, and serum obtained from (C). ( E ) The spearman factors of seven common age-associated metabolites in mouse brain, liver, and serum datasets. Red and blue bars represent metabolites that were increased and decreased over the age, respectively. n = 3. Three dots for each metabolite represent their Spearman factors with age obtained from mouse brain, liver, and serum datasets, respectively. ( F ) Relative abundances of citrulline in mouse brain, liver, and serum at different ages. Bars represent means ± SEM. n = 8 to 10; all numbers are biologically independent samples. *** P < 0.001, ** P < 0.01, and * P < 0.05; n.s., not significant (two-tailed Student’s t test).
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    ( A ) Graphic illustration of the workflow to profile age-associated metabolites in brain tissue, liver tissue and serum from mice at different ages using LC-MS. Age-associated metabolites were screened by Kruskal-Wallis test ( P < 0.05) and Spearman correlation ( P < 0.05). w, weeks; m / z , mass/charge ratio. ( B ) Pathway enrichment analyses of age-associated metabolites from mouse brain, liver, and serum (hypergeometric test, *** P < 0.001, ** P < 0.01, and * P < 0.05). TCA, tricarboxylic acid. ( C ) Age-associated metabolites were screened by Kruskal-Wallis test ( P < 0.05) and Spearman correlation ( P < 0.05). Red dots (brain, n = 26; liver, n = 46; serum, n = 21) and blue dots (brain, n = 49; liver, n = 60; serum, n = 59) represent metabolites that were increased and decreased over the age, respectively. Black dots represent unchanged metabolites. ( D ) Venn diagram for the overlap of age-associated metabolites in mouse brain, liver, and serum obtained from (C). ( E ) The spearman factors of seven common age-associated metabolites in mouse brain, liver, and serum datasets. Red and blue bars represent metabolites that were increased and decreased over the age, respectively. n = 3. Three dots for each metabolite represent their Spearman factors with age obtained from mouse brain, liver, and serum datasets, respectively. ( F ) Relative abundances of citrulline in mouse brain, liver, and serum at different ages. Bars represent means ± SEM. n = 8 to 10; all numbers are biologically independent samples. *** P < 0.001, ** P < 0.01, and * P < 0.05; n.s., not significant (two-tailed Student’s t test).
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    Reagents and tools table
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    Image Search Results


    Fig. 1. Twenty-four-hour urine protein levels in each group over 12 weeks. Data are presented as the means ± standard deviations. CTL: control; IFM: inflammation; ADR: Adriamycin-induced nephrosis; AWI: Adriamycin-induced nephrosis with inflammation. n = 8 per group; *P < 0.05 vs. the control; ▲P < 0.05 vs. the AWI group at the same time point.

    Journal: Scientific reports

    Article Title: Systemic inflammation accelerates the development of focal segmental glomerulosclerosis in a mouse model of adriamycin induced nephrosis.

    doi: 10.1038/s41598-025-96125-0

    Figure Lengend Snippet: Fig. 1. Twenty-four-hour urine protein levels in each group over 12 weeks. Data are presented as the means ± standard deviations. CTL: control; IFM: inflammation; ADR: Adriamycin-induced nephrosis; AWI: Adriamycin-induced nephrosis with inflammation. n = 8 per group; *P < 0.05 vs. the control; ▲P < 0.05 vs. the AWI group at the same time point.

    Article Snippet: Sections were then incubated with 0.3% H2O2 in methanol for 15 min to block endogenous peroxidase and exposed to either a rabbit anti-mouse IL-1β antibody (dilution 1:100; sc-7884, Santa Cruz Biotechnology, USA) or a rabbit anti-mouse TGF-β1 antibody (dilution 1:100; sc-146, Santa Cruz Biotechnology) overnight at 4 °C.

    Techniques: Control

    Fig. 7. Renal mRNA expression of transforming growth factor-β1 (TGF-β1) and interleukin-1 beta (IL-1β) at 4, 8, and 12 weeks as determined by real-time PCR. The expression levels were normalized to those of the housekeeping gene β-actin. CTL: control, IFM: inflammation, ADR: Adriamycin-induced nephrosis, AWI: Adriamycin-induced nephrosis with inflammation. Data are presented as the means ± standard errors. n = 8 per group; *P < 0.05 vs. control; ▲P < 0.05 vs. AWI at the same time point.

    Journal: Scientific reports

    Article Title: Systemic inflammation accelerates the development of focal segmental glomerulosclerosis in a mouse model of adriamycin induced nephrosis.

    doi: 10.1038/s41598-025-96125-0

    Figure Lengend Snippet: Fig. 7. Renal mRNA expression of transforming growth factor-β1 (TGF-β1) and interleukin-1 beta (IL-1β) at 4, 8, and 12 weeks as determined by real-time PCR. The expression levels were normalized to those of the housekeeping gene β-actin. CTL: control, IFM: inflammation, ADR: Adriamycin-induced nephrosis, AWI: Adriamycin-induced nephrosis with inflammation. Data are presented as the means ± standard errors. n = 8 per group; *P < 0.05 vs. control; ▲P < 0.05 vs. AWI at the same time point.

    Article Snippet: Sections were then incubated with 0.3% H2O2 in methanol for 15 min to block endogenous peroxidase and exposed to either a rabbit anti-mouse IL-1β antibody (dilution 1:100; sc-7884, Santa Cruz Biotechnology, USA) or a rabbit anti-mouse TGF-β1 antibody (dilution 1:100; sc-146, Santa Cruz Biotechnology) overnight at 4 °C.

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

    Fig. 9. Immunostaining for IL-1β in the CTL group (a, b, c), IFM group (d, e, f), ADR group (g, h, i), and AWI group (j, k, l) at 4, 8, and 12 weeks, respectively, after Adriamycin injection. Scale bars = 50 μm.

    Journal: Scientific reports

    Article Title: Systemic inflammation accelerates the development of focal segmental glomerulosclerosis in a mouse model of adriamycin induced nephrosis.

    doi: 10.1038/s41598-025-96125-0

    Figure Lengend Snippet: Fig. 9. Immunostaining for IL-1β in the CTL group (a, b, c), IFM group (d, e, f), ADR group (g, h, i), and AWI group (j, k, l) at 4, 8, and 12 weeks, respectively, after Adriamycin injection. Scale bars = 50 μm.

    Article Snippet: Sections were then incubated with 0.3% H2O2 in methanol for 15 min to block endogenous peroxidase and exposed to either a rabbit anti-mouse IL-1β antibody (dilution 1:100; sc-7884, Santa Cruz Biotechnology, USA) or a rabbit anti-mouse TGF-β1 antibody (dilution 1:100; sc-146, Santa Cruz Biotechnology) overnight at 4 °C.

    Techniques: Immunostaining, Injection

    ( A ) Graphic illustration of the workflow to profile age-associated metabolites in brain tissue, liver tissue and serum from mice at different ages using LC-MS. Age-associated metabolites were screened by Kruskal-Wallis test ( P < 0.05) and Spearman correlation ( P < 0.05). w, weeks; m / z , mass/charge ratio. ( B ) Pathway enrichment analyses of age-associated metabolites from mouse brain, liver, and serum (hypergeometric test, *** P < 0.001, ** P < 0.01, and * P < 0.05). TCA, tricarboxylic acid. ( C ) Age-associated metabolites were screened by Kruskal-Wallis test ( P < 0.05) and Spearman correlation ( P < 0.05). Red dots (brain, n = 26; liver, n = 46; serum, n = 21) and blue dots (brain, n = 49; liver, n = 60; serum, n = 59) represent metabolites that were increased and decreased over the age, respectively. Black dots represent unchanged metabolites. ( D ) Venn diagram for the overlap of age-associated metabolites in mouse brain, liver, and serum obtained from (C). ( E ) The spearman factors of seven common age-associated metabolites in mouse brain, liver, and serum datasets. Red and blue bars represent metabolites that were increased and decreased over the age, respectively. n = 3. Three dots for each metabolite represent their Spearman factors with age obtained from mouse brain, liver, and serum datasets, respectively. ( F ) Relative abundances of citrulline in mouse brain, liver, and serum at different ages. Bars represent means ± SEM. n = 8 to 10; all numbers are biologically independent samples. *** P < 0.001, ** P < 0.01, and * P < 0.05; n.s., not significant (two-tailed Student’s t test).

    Journal: Science Advances

    Article Title: Citrulline regulates macrophage metabolism and inflammation to counter aging in mice

    doi: 10.1126/sciadv.ads4957

    Figure Lengend Snippet: ( A ) Graphic illustration of the workflow to profile age-associated metabolites in brain tissue, liver tissue and serum from mice at different ages using LC-MS. Age-associated metabolites were screened by Kruskal-Wallis test ( P < 0.05) and Spearman correlation ( P < 0.05). w, weeks; m / z , mass/charge ratio. ( B ) Pathway enrichment analyses of age-associated metabolites from mouse brain, liver, and serum (hypergeometric test, *** P < 0.001, ** P < 0.01, and * P < 0.05). TCA, tricarboxylic acid. ( C ) Age-associated metabolites were screened by Kruskal-Wallis test ( P < 0.05) and Spearman correlation ( P < 0.05). Red dots (brain, n = 26; liver, n = 46; serum, n = 21) and blue dots (brain, n = 49; liver, n = 60; serum, n = 59) represent metabolites that were increased and decreased over the age, respectively. Black dots represent unchanged metabolites. ( D ) Venn diagram for the overlap of age-associated metabolites in mouse brain, liver, and serum obtained from (C). ( E ) The spearman factors of seven common age-associated metabolites in mouse brain, liver, and serum datasets. Red and blue bars represent metabolites that were increased and decreased over the age, respectively. n = 3. Three dots for each metabolite represent their Spearman factors with age obtained from mouse brain, liver, and serum datasets, respectively. ( F ) Relative abundances of citrulline in mouse brain, liver, and serum at different ages. Bars represent means ± SEM. n = 8 to 10; all numbers are biologically independent samples. *** P < 0.001, ** P < 0.01, and * P < 0.05; n.s., not significant (two-tailed Student’s t test).

    Article Snippet: The following primary antibodies were used: mouse β-actin (Proteintech, #66009-1-Ig), rabbit p-S6(Ser 240/244 ) [Cell Signaling Technology (CST), #5364S], rabbit HIF-1α (CST, #36169T), rabbit p16 (Abcam, #ab211542), rabbit p21 (Abcam, ab188224), mouse Iba1 (Abcam, #ab283342), mouse γH2AX (CST, #80312), rabbit p-mTOR(Ser 2448 ) (Proteintech, #67778-1-lg), mouse mTOR (Proteintech, #66888-1-lg), rabbit 4EBP1 (Proteintech, #60246-1-lg), rabbit p-4EBP1(Thr 37/46 ) (CST, #2855T), rabbit p70(S6K) (Proteintech, #14485-1-AP), rabbit p-p70(S6K)(Thr 389 ) (CST, #9234T), rabbit TNFα (Proteintech, #17590-1-AP), and rabbit IL-1β (CST, 12242S).

    Techniques: Liquid Chromatography with Mass Spectroscopy, Two Tailed Test

    ( A ) The long-term supplementation scheme of young and aged mice (male) with drinking water only or drinking waters containing citrulline (1 g/kg of body weight of mice) for about 9 weeks (6 and 72 weeks old, male). n = 8. ( B ) Recorded body weights of young and aged mice (male) supplemented with water or citrulline over 9 weeks. n = 8. ( C ) Weights of spleen and liver organs in young and aged mice (male) supplemented with water or citrulline over 9 weeks. n = 6 to 8. ( D to F ) Real-time polymerase chain reaction (PCR) analyses of senescence-associated secretory phenotype genes, including Tnf , Il6 , and Il1b in mouse brain (D), liver (E) and primary BMDMs (F). n = 5 to 6. ( G and H ) Representative immunofluorescence images of γH2AX (G) and P21 (H) levels in brain tissues of young and aged mice (male) supplemented with water or citrulline over 9 weeks. The microglia in the brain were stained with anti-IBA1 antibody (green), and the nuclei were stained with DAPI (blue). Scale bars, 50 μm. ( I and J ) The averaged density of positive cells in images from (G) and (H). n = 3; each point represents the mean densities of three images in each sample. Bars represent means ± SEM. *** P < 0.001, ** P < 0.01, and * P < 0.05 (two-tailed Student’s t test).

    Journal: Science Advances

    Article Title: Citrulline regulates macrophage metabolism and inflammation to counter aging in mice

    doi: 10.1126/sciadv.ads4957

    Figure Lengend Snippet: ( A ) The long-term supplementation scheme of young and aged mice (male) with drinking water only or drinking waters containing citrulline (1 g/kg of body weight of mice) for about 9 weeks (6 and 72 weeks old, male). n = 8. ( B ) Recorded body weights of young and aged mice (male) supplemented with water or citrulline over 9 weeks. n = 8. ( C ) Weights of spleen and liver organs in young and aged mice (male) supplemented with water or citrulline over 9 weeks. n = 6 to 8. ( D to F ) Real-time polymerase chain reaction (PCR) analyses of senescence-associated secretory phenotype genes, including Tnf , Il6 , and Il1b in mouse brain (D), liver (E) and primary BMDMs (F). n = 5 to 6. ( G and H ) Representative immunofluorescence images of γH2AX (G) and P21 (H) levels in brain tissues of young and aged mice (male) supplemented with water or citrulline over 9 weeks. The microglia in the brain were stained with anti-IBA1 antibody (green), and the nuclei were stained with DAPI (blue). Scale bars, 50 μm. ( I and J ) The averaged density of positive cells in images from (G) and (H). n = 3; each point represents the mean densities of three images in each sample. Bars represent means ± SEM. *** P < 0.001, ** P < 0.01, and * P < 0.05 (two-tailed Student’s t test).

    Article Snippet: The following primary antibodies were used: mouse β-actin (Proteintech, #66009-1-Ig), rabbit p-S6(Ser 240/244 ) [Cell Signaling Technology (CST), #5364S], rabbit HIF-1α (CST, #36169T), rabbit p16 (Abcam, #ab211542), rabbit p21 (Abcam, ab188224), mouse Iba1 (Abcam, #ab283342), mouse γH2AX (CST, #80312), rabbit p-mTOR(Ser 2448 ) (Proteintech, #67778-1-lg), mouse mTOR (Proteintech, #66888-1-lg), rabbit 4EBP1 (Proteintech, #60246-1-lg), rabbit p-4EBP1(Thr 37/46 ) (CST, #2855T), rabbit p70(S6K) (Proteintech, #14485-1-AP), rabbit p-p70(S6K)(Thr 389 ) (CST, #9234T), rabbit TNFα (Proteintech, #17590-1-AP), and rabbit IL-1β (CST, 12242S).

    Techniques: Real-time Polymerase Chain Reaction, Immunofluorescence, Staining, Two Tailed Test

    ( A ) Tnf , Il6 , and Il1b levels in iBMDMs responding to citrulline (4.5 hours) and LPS (100 ng/ml for 4 hours). n = 12, three samples with four technical replicates. ( B ) TNFα and IL-6 levels in iBMDM culture medium responding to citrulline (4.5 hours) and LPS (100 ng/ml for 4 hours). n = 5 to 8. ( C ) The scheme of mice administrated for 7 days. ( D and E ) Mouse survival after LPS challenge using log-rank (Mantel-Cox) test. ( F ) Citrulline levels in mice treated with citrulline and LPS (20 mg/kg). n = 8. ( G ) Tnf , Il6 , and Il1b levels in mouse liver treated with citrulline and LPS (20 mg/kg). n = 5 to 8. ( H ) TNFα, IL-6, and IL-1β levels in mouse serum treated with citrulline and LPS (20 mg/kg). n = 8 to 16. ( I ) Graphical illustration of BMDM generation and citrulline levels in BMDMs treated with LPS (100 ng/ml for 12 hours). n = 5 or 8. ( J ) Tnf , Il6 , and Il1b levels in BMDMs responding to citrulline (500 μM for 12.5 hours) and LPS (100 ng/ml for 12 hours). n = 3 to 4. ( K ) Quantifications of SA-β-Gal activities in BMDMs responding to citrulline (500 μM for 12.5 hours) and/or LPS (100 ng/ml for 12 hours). n = 3. ( L ) Graphical illustration of human macrophages from PBMCs. ( M ) TNF , IL1B , and IL6 levels responding to citrulline (500 μM for 12.5 hours) and LPS (100 ng/ml for 12 hours) in human macrophages. n = 6 to 8. Bars represent means ± SEM. *** P < 0.001, ** P < 0.01, and * P < 0.05 (two-tailed Student’s t test).

    Journal: Science Advances

    Article Title: Citrulline regulates macrophage metabolism and inflammation to counter aging in mice

    doi: 10.1126/sciadv.ads4957

    Figure Lengend Snippet: ( A ) Tnf , Il6 , and Il1b levels in iBMDMs responding to citrulline (4.5 hours) and LPS (100 ng/ml for 4 hours). n = 12, three samples with four technical replicates. ( B ) TNFα and IL-6 levels in iBMDM culture medium responding to citrulline (4.5 hours) and LPS (100 ng/ml for 4 hours). n = 5 to 8. ( C ) The scheme of mice administrated for 7 days. ( D and E ) Mouse survival after LPS challenge using log-rank (Mantel-Cox) test. ( F ) Citrulline levels in mice treated with citrulline and LPS (20 mg/kg). n = 8. ( G ) Tnf , Il6 , and Il1b levels in mouse liver treated with citrulline and LPS (20 mg/kg). n = 5 to 8. ( H ) TNFα, IL-6, and IL-1β levels in mouse serum treated with citrulline and LPS (20 mg/kg). n = 8 to 16. ( I ) Graphical illustration of BMDM generation and citrulline levels in BMDMs treated with LPS (100 ng/ml for 12 hours). n = 5 or 8. ( J ) Tnf , Il6 , and Il1b levels in BMDMs responding to citrulline (500 μM for 12.5 hours) and LPS (100 ng/ml for 12 hours). n = 3 to 4. ( K ) Quantifications of SA-β-Gal activities in BMDMs responding to citrulline (500 μM for 12.5 hours) and/or LPS (100 ng/ml for 12 hours). n = 3. ( L ) Graphical illustration of human macrophages from PBMCs. ( M ) TNF , IL1B , and IL6 levels responding to citrulline (500 μM for 12.5 hours) and LPS (100 ng/ml for 12 hours) in human macrophages. n = 6 to 8. Bars represent means ± SEM. *** P < 0.001, ** P < 0.01, and * P < 0.05 (two-tailed Student’s t test).

    Article Snippet: The following primary antibodies were used: mouse β-actin (Proteintech, #66009-1-Ig), rabbit p-S6(Ser 240/244 ) [Cell Signaling Technology (CST), #5364S], rabbit HIF-1α (CST, #36169T), rabbit p16 (Abcam, #ab211542), rabbit p21 (Abcam, ab188224), mouse Iba1 (Abcam, #ab283342), mouse γH2AX (CST, #80312), rabbit p-mTOR(Ser 2448 ) (Proteintech, #67778-1-lg), mouse mTOR (Proteintech, #66888-1-lg), rabbit 4EBP1 (Proteintech, #60246-1-lg), rabbit p-4EBP1(Thr 37/46 ) (CST, #2855T), rabbit p70(S6K) (Proteintech, #14485-1-AP), rabbit p-p70(S6K)(Thr 389 ) (CST, #9234T), rabbit TNFα (Proteintech, #17590-1-AP), and rabbit IL-1β (CST, 12242S).

    Techniques: Two Tailed Test

    Reagents and tools table

    Journal: EMBO Molecular Medicine

    Article Title: Navigating from cellular phenotypic screen to clinical candidate: selective targeting of the NLRP3 inflammasome

    doi: 10.1038/s44321-024-00181-4

    Figure Lengend Snippet: Reagents and tools table

    Article Snippet: Rabbit anti-mouse IL-1β , Genetex , GTX74034.

    Techniques: Knock-Out, Expressing, Recombinant, Plasmid Preparation, Enzyme-linked Immunosorbent Assay, Western Blot, Software, Microscopy

    Reagents and tools table

    Journal: EMBO Molecular Medicine

    Article Title: Navigating from cellular phenotypic screen to clinical candidate: selective targeting of the NLRP3 inflammasome

    doi: 10.1038/s44321-024-00181-4

    Figure Lengend Snippet: Reagents and tools table

    Article Snippet: Rabbit anti-mouse IL-1β , Genetex , GTX74034.

    Techniques: Knock-Out, Expressing, Recombinant, Plasmid Preparation, Enzyme-linked Immunosorbent Assay, Western Blot, Software, Microscopy