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quantikine elisa kit (R&D Systems)

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R&D Systems quantikine elisa kit
Quantikine Elisa Kit, supplied by R&D Systems, used in various techniques. Bioz Stars score: 93/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/quantikine elisa kit/product/R&D Systems
Average 93 stars, based on 1 article reviews

quantikine elisa kit - by Bioz Stars, 2026-04

93/100 stars

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Protein profiling of the serum from APP/PS1 mice and MPTP-induced mice for disease model animals was obtained by performing proteome array analysis. (A) Images of array spots on the membrane are proteome array for immune blot, including 111 cytokine, chemokine, and growth factor types. The red rectangle indicates <t>RBP4</t> and CXCL10 showing expression levels in the APP/PS1 and MPTP-induced mice. Magnifying indicates an enlarged image of RBP4 and CXCL10 in the square below each image. Array spots were analyzed according to the manufacturer’s instructions. (B) Quantifying RBP4 and CXCL10 levels in control and disease model animals from serum. Data are mean ± standard error of the mean (SEM). * , p < 0.05; ** , p < 0.01; *** , p < 0.001 vs. control by a Student’s two-tailed t-test. AD: Alzheimer’s disease; PD: Parkinson’s disease.

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( A and B ) Lv-Atf3 , Atf3 M−/− , or control mice were fed a WD. After 20 weeks, HSCs from the mice were isolated and relative mRNA levels of genes involved in fibrogenesis were determined by qRT-PCR ( n = 3 per group). ( C and D ) Hepatic macrophages from Atf3 fl/fl or Atf3 M−/− mice (fed a chow diet) were isolated, and total RNA was extracted for RNA-seq ( n = 3). Some biological processes were regulated by Atf3 (C). The heatmap shows that some cytokines were up-regulated or down-regulated by Atf3 (D). ( E ) mRNA levels. ( F ) Protein levels. ( G and H ) Atf3 fl/fl or Atf3 M−/− mice were fed a WD. After 12 weeks, liver macrophages were isolated and cultured for 24 hours. Then, the media were collected and cocultured with freshly isolated hepatocytes (G) or HSCs (H) in the presence of <t>anti-Rbp4</t> (10 mg/ml). After 12 hours, relative mRNA levels of genes involved in fibrogenesis were determined. ( I and J ) Liver macrophages from C57BL/6J mice were isolated and then infected with Lv-Gfp or Lv-Atf3 for 24 hours. The mRNA or protein levels of Rbp4 were measured. ( K and L ) Lv-Gfp or Lv-Atf3 liver macrophages were cultured for 24 hours. The media were collected and cocultured with primary hepatocytes (K) or mouse HSCs (L) in the presence of <t>recombinant</t> mouse Rbp4 protein or vehicle (5 μg/ml). The mRNA levels of hepatocytes or HSCs were determined. ( M and N ) Primary hepatocytes or mouse HSCs were infected with lentiviruses expressing shRNA against scramble sequences (Lv-shScr) or Stra6 (Lv-shStra6) for 24 hours and then incubated with recombinant mouse Rbp4 protein or vehicle (5 μg/ml). The mRNA levels of hepatocytes (M) or HSCs (N) were measured. * P < 0.05; ** P < 0.01. NS, not significant.

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Journal: Frontiers in Veterinary Science

Article Title: Advancing the early detection of canine cognitive dysfunction syndrome with machine learning-enhanced blood-based biomarkers

doi: 10.3389/fvets.2024.1390296

Figure Lengend Snippet: Protein profiling of the serum from APP/PS1 mice and MPTP-induced mice for disease model animals was obtained by performing proteome array analysis. (A) Images of array spots on the membrane are proteome array for immune blot, including 111 cytokine, chemokine, and growth factor types. The red rectangle indicates RBP4 and CXCL10 showing expression levels in the APP/PS1 and MPTP-induced mice. Magnifying indicates an enlarged image of RBP4 and CXCL10 in the square below each image. Array spots were analyzed according to the manufacturer’s instructions. (B) Quantifying RBP4 and CXCL10 levels in control and disease model animals from serum. Data are mean ± standard error of the mean (SEM). * , p < 0.05; ** , p < 0.01; *** , p < 0.001 vs. control by a Student’s two-tailed t-test. AD: Alzheimer’s disease; PD: Parkinson’s disease.

Article Snippet: The following antibodies were used: monoclonal mouse anti-RBP4 antibody (orb751184, Biorbyt, Berkeley, CA, United States); polyclonal rabbit anti-CXCL10 antibody (abx104024, Abbexa, Cambridge, United Kingdom); polyclonal rabbit anti-NOX4 antibody (NB110-58849, Novusbio, Centennial, CO, United States); polyclonal rabbit anti-transferrin antibody (NBP1-97472, Novusbio, Centennial, CO, United States); peroxidase labeled horse anti-mouse IgG (H + L) (7076P2, Cell Signaling Technology, Danvers, MA, United States); peroxidase labeled goat anti-rabbit IgG (H + L) (PI-1000, Vector Laboratories, Burlingame, CA, United States).

Techniques: Membrane, Expressing, Control, Two Tailed Test

RBP4, CXCL10, and NOX4 protein levels in dogs of normal and CCDS groups. (A) Representative immunoblot analysis of RBP4, CXCL10, and NOX4 expression in CCDS groups compared to normal groups. (B) Quantifying RBP4, CXCL10, and NOX4 levels in normal and CCDS groups from plasma. Data are mean ± SEM. * , p < 0.05 vs. normal by a Student’s two-tailed t -test.

Journal: Frontiers in Veterinary Science

Article Title: Advancing the early detection of canine cognitive dysfunction syndrome with machine learning-enhanced blood-based biomarkers

doi: 10.3389/fvets.2024.1390296

Figure Lengend Snippet: RBP4, CXCL10, and NOX4 protein levels in dogs of normal and CCDS groups. (A) Representative immunoblot analysis of RBP4, CXCL10, and NOX4 expression in CCDS groups compared to normal groups. (B) Quantifying RBP4, CXCL10, and NOX4 levels in normal and CCDS groups from plasma. Data are mean ± SEM. * , p < 0.05 vs. normal by a Student’s two-tailed t -test.

Techniques: Western Blot, Expressing, Clinical Proteomics, Two Tailed Test

RBP4, CXCL10, and NOX4 levels were measured in the plasma from animal groups diagnosed with mild cognitive impairment (MCI) and severe cognitive impairment (SCI) based on CCDR scores. CCDS represents a group inclusive of both MCI and SCI, separated by a dotted line. (A) The bar graphs represent the quantification of RBP4, CXCL10, and NOX4 ELISA levels in each group. Data are mean ± SEM. (B) Representative violin plot graphs of the distribution of biomarker levels in each group. The dot in the graph revealed the distribution of individual samples, and the lines in the violin shape represent quartiles and medians. * , p < 0.05; ** , p < 0.01; *** , p < 0.001; **** , p < 0.0001 vs. each group by a one-way ANOVA. ### , p < 0.001; #### , p < 0.0001 vs. normal by a Student’s two-tailed t -test.

Journal: Frontiers in Veterinary Science

Article Title: Advancing the early detection of canine cognitive dysfunction syndrome with machine learning-enhanced blood-based biomarkers

doi: 10.3389/fvets.2024.1390296

Figure Lengend Snippet: RBP4, CXCL10, and NOX4 levels were measured in the plasma from animal groups diagnosed with mild cognitive impairment (MCI) and severe cognitive impairment (SCI) based on CCDR scores. CCDS represents a group inclusive of both MCI and SCI, separated by a dotted line. (A) The bar graphs represent the quantification of RBP4, CXCL10, and NOX4 ELISA levels in each group. Data are mean ± SEM. (B) Representative violin plot graphs of the distribution of biomarker levels in each group. The dot in the graph revealed the distribution of individual samples, and the lines in the violin shape represent quartiles and medians. * , p < 0.05; ** , p < 0.01; *** , p < 0.001; **** , p < 0.0001 vs. each group by a one-way ANOVA. ### , p < 0.001; #### , p < 0.0001 vs. normal by a Student’s two-tailed t -test.

Techniques: Clinical Proteomics, Enzyme-linked Immunosorbent Assay, Biomarker Discovery, Two Tailed Test

The correlation heatmap manifested the correlation between five variables: RBP4, CXCL10, NOX4, CCDR, and age. The color of each cell indicates a high correlation in red and a low correlation in blue, with the darker color indicating the strength of the correlation.

Journal: Frontiers in Veterinary Science

Article Title: Advancing the early detection of canine cognitive dysfunction syndrome with machine learning-enhanced blood-based biomarkers

doi: 10.3389/fvets.2024.1390296

Figure Lengend Snippet: The correlation heatmap manifested the correlation between five variables: RBP4, CXCL10, NOX4, CCDR, and age. The color of each cell indicates a high correlation in red and a low correlation in blue, with the darker color indicating the strength of the correlation.

Techniques:

Machine learning results summary for the normal and MCI.

Journal: Frontiers in Veterinary Science

Article Title: Advancing the early detection of canine cognitive dysfunction syndrome with machine learning-enhanced blood-based biomarkers

doi: 10.3389/fvets.2024.1390296

Figure Lengend Snippet: Machine learning results summary for the normal and MCI.

Techniques:

ROC curve graph between each group obtained through machine learning. (A) ROC curve for the combination of RBP4 and NOX4 between normal and MCI using the SVM algorithm. AUC is shown as 0.83. (B) ROC curve for the combination of RBP4, CXCL10, and NOX4 between normal and SCI using the Extra Tree algorithm. AUC is shown as 0.78. (C) ROC curve for the combination of RBP4 and NOX4 between normal and CCDS using the SVM algorithm. AUC is shown as 0.75.

Journal: Frontiers in Veterinary Science

Article Title: Advancing the early detection of canine cognitive dysfunction syndrome with machine learning-enhanced blood-based biomarkers

doi: 10.3389/fvets.2024.1390296

Figure Lengend Snippet: ROC curve graph between each group obtained through machine learning. (A) ROC curve for the combination of RBP4 and NOX4 between normal and MCI using the SVM algorithm. AUC is shown as 0.83. (B) ROC curve for the combination of RBP4, CXCL10, and NOX4 between normal and SCI using the Extra Tree algorithm. AUC is shown as 0.78. (C) ROC curve for the combination of RBP4 and NOX4 between normal and CCDS using the SVM algorithm. AUC is shown as 0.75.

Techniques:

Machine learning results summary for the normal and SCI.

Journal: Frontiers in Veterinary Science

Article Title: Advancing the early detection of canine cognitive dysfunction syndrome with machine learning-enhanced blood-based biomarkers

doi: 10.3389/fvets.2024.1390296

Figure Lengend Snippet: Machine learning results summary for the normal and SCI.

Techniques:

Machine learning results summary for the normal and CCDS.

Journal: Frontiers in Veterinary Science

Article Title: Advancing the early detection of canine cognitive dysfunction syndrome with machine learning-enhanced blood-based biomarkers

doi: 10.3389/fvets.2024.1390296

Figure Lengend Snippet: Machine learning results summary for the normal and CCDS.

Techniques:

Journal: Science Advances

Article Title: Atf3-mediated metabolic reprogramming in hepatic macrophage orchestrates metabolic dysfunction–associated steatohepatitis

doi: 10.1126/sciadv.ado3141

Figure Lengend Snippet: ( A and B ) Lv-Atf3 , Atf3 M−/− , or control mice were fed a WD. After 20 weeks, HSCs from the mice were isolated and relative mRNA levels of genes involved in fibrogenesis were determined by qRT-PCR ( n = 3 per group). ( C and D ) Hepatic macrophages from Atf3 fl/fl or Atf3 M−/− mice (fed a chow diet) were isolated, and total RNA was extracted for RNA-seq ( n = 3). Some biological processes were regulated by Atf3 (C). The heatmap shows that some cytokines were up-regulated or down-regulated by Atf3 (D). ( E ) mRNA levels. ( F ) Protein levels. ( G and H ) Atf3 fl/fl or Atf3 M−/− mice were fed a WD. After 12 weeks, liver macrophages were isolated and cultured for 24 hours. Then, the media were collected and cocultured with freshly isolated hepatocytes (G) or HSCs (H) in the presence of anti-Rbp4 (10 mg/ml). After 12 hours, relative mRNA levels of genes involved in fibrogenesis were determined. ( I and J ) Liver macrophages from C57BL/6J mice were isolated and then infected with Lv-Gfp or Lv-Atf3 for 24 hours. The mRNA or protein levels of Rbp4 were measured. ( K and L ) Lv-Gfp or Lv-Atf3 liver macrophages were cultured for 24 hours. The media were collected and cocultured with primary hepatocytes (K) or mouse HSCs (L) in the presence of recombinant mouse Rbp4 protein or vehicle (5 μg/ml). The mRNA levels of hepatocytes or HSCs were determined. ( M and N ) Primary hepatocytes or mouse HSCs were infected with lentiviruses expressing shRNA against scramble sequences (Lv-shScr) or Stra6 (Lv-shStra6) for 24 hours and then incubated with recombinant mouse Rbp4 protein or vehicle (5 μg/ml). The mRNA levels of hepatocytes (M) or HSCs (N) were measured. * P < 0.05; ** P < 0.01. NS, not significant.

Article Snippet: Recombinant mouse Rbp4 protein (catalog no. 3476-LC-050) and recombinant mouse FGF-21 protein (catalog no. 8409-FG-025/CF) were purchased from R&D Systems.

Techniques: Control, Isolation, Quantitative RT-PCR, RNA Sequencing Assay, Cell Culture, Infection, Recombinant, Expressing, shRNA, Incubation

( A to H ) Hepatic macrophages from Rbp4 M−/− mice were isolated and then infected with Lv-Gfp or Lv-Atf3 for 24 hours. The macrophages were transplanted into C57BL/6J male mice and then fed a WD for 18 weeks ( n = 6 per group). (A) Hepatic macrophage Atf3 protein levels. (B) Body weight and liver weight. (C) Plasma ALT/AST. (D) Hepatic lipid levels. (E) Hepatic FFA levels. (F) Hepatic hydroxyproline levels. (G) Representative liver section images stained by Oil Red O or picrosirius red. (H) Hepatic mRNA levels. ( I ) C57BL/6J mice were fed chow diet or WD fed for 8 or 16 weeks. Hepatic macrophages were isolated, and Rbp4 protein levels were determined. ( J ) Plasma Rbp4 protein levels of Lv-Atf3 mice or Atf3 M−/− mice were measured. ( K to S ) Atf3 M−/− mice were fed a WD for 13 weeks, and the mice were intraperitoneally (i.p.) injected with 100 μg of anti-Rbp4 antibodies (per mouse) or vehicle once every 6 days for 30 days ( n = 6 per group). The experimental procedures are illustrated in (K). The levels of hepatic lipids (L), FFAs (M), hydroxyproline (N), and plasma ALT/AST were analyzed. (O) Representative liver section images stained by H&E or picrosirius red. (P) MASH score. (Q) Fibrotic area. (R) Plasma ALT/AST. (S) Hepatic mRNA levels. ( T ) Simplified model depicting the role of hepatic macrophage Atf3 in regulation of MASH in mice. * P < 0.05; ** P < 0.01.

Journal: Science Advances

Article Title: Atf3-mediated metabolic reprogramming in hepatic macrophage orchestrates metabolic dysfunction–associated steatohepatitis

doi: 10.1126/sciadv.ado3141

Figure Lengend Snippet: ( A to H ) Hepatic macrophages from Rbp4 M−/− mice were isolated and then infected with Lv-Gfp or Lv-Atf3 for 24 hours. The macrophages were transplanted into C57BL/6J male mice and then fed a WD for 18 weeks ( n = 6 per group). (A) Hepatic macrophage Atf3 protein levels. (B) Body weight and liver weight. (C) Plasma ALT/AST. (D) Hepatic lipid levels. (E) Hepatic FFA levels. (F) Hepatic hydroxyproline levels. (G) Representative liver section images stained by Oil Red O or picrosirius red. (H) Hepatic mRNA levels. ( I ) C57BL/6J mice were fed chow diet or WD fed for 8 or 16 weeks. Hepatic macrophages were isolated, and Rbp4 protein levels were determined. ( J ) Plasma Rbp4 protein levels of Lv-Atf3 mice or Atf3 M−/− mice were measured. ( K to S ) Atf3 M−/− mice were fed a WD for 13 weeks, and the mice were intraperitoneally (i.p.) injected with 100 μg of anti-Rbp4 antibodies (per mouse) or vehicle once every 6 days for 30 days ( n = 6 per group). The experimental procedures are illustrated in (K). The levels of hepatic lipids (L), FFAs (M), hydroxyproline (N), and plasma ALT/AST were analyzed. (O) Representative liver section images stained by H&E or picrosirius red. (P) MASH score. (Q) Fibrotic area. (R) Plasma ALT/AST. (S) Hepatic mRNA levels. ( T ) Simplified model depicting the role of hepatic macrophage Atf3 in regulation of MASH in mice. * P < 0.05; ** P < 0.01.

Article Snippet: Recombinant mouse Rbp4 protein (catalog no. 3476-LC-050) and recombinant mouse FGF-21 protein (catalog no. 8409-FG-025/CF) were purchased from R&D Systems.

Techniques: Isolation, Infection, Staining, Injection