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Jackson Laboratory prdx2 knockout male mice
Study design and overview Experimental design for time course metabolomic profiling of male C57Bl6 wild-type and <t>Prdx2−</t> mice in vivo labeling, Biotin+ and Biotin−bead separation. Blood draws were performed at three different time points (8, 15, and 20 days) for each cohort with targeted metabolomic profiling. The subsequent analyses enable assessment of biochemical aging in vivo and the consequences of loss of Prdx2.
Prdx2 Knockout Male Mice, supplied by Jackson Laboratory, 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
prdx2 knockout male mice - by Bioz Stars, 2026-05
86/100 stars

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1) Product Images from "The loss of peroxiredoxin 2 in mice disrupts the biochemical aging phenotype in erythrocytes"

Article Title: The loss of peroxiredoxin 2 in mice disrupts the biochemical aging phenotype in erythrocytes

Journal: iScience

doi: 10.1016/j.isci.2025.114608

Study design and overview Experimental design for time course metabolomic profiling of male C57Bl6 wild-type and Prdx2− mice in vivo labeling, Biotin+ and Biotin−bead separation. Blood draws were performed at three different time points (8, 15, and 20 days) for each cohort with targeted metabolomic profiling. The subsequent analyses enable assessment of biochemical aging in vivo and the consequences of loss of Prdx2.
Figure Legend Snippet: Study design and overview Experimental design for time course metabolomic profiling of male C57Bl6 wild-type and Prdx2− mice in vivo labeling, Biotin+ and Biotin−bead separation. Blood draws were performed at three different time points (8, 15, and 20 days) for each cohort with targeted metabolomic profiling. The subsequent analyses enable assessment of biochemical aging in vivo and the consequences of loss of Prdx2.

Techniques Used: Metabolomic, In Vivo, Labeling

Unsupervised analysis of intracellular metabolomic profiles Clustering of plasma metabolomics profiles for the entire set of cohorts. (A) Clustering of WT and Prdx2 KO profiles at days 8, 15, or 20. (B) Clustering of the PRdx2 KO/WT ratios at the different time points.
Figure Legend Snippet: Unsupervised analysis of intracellular metabolomic profiles Clustering of plasma metabolomics profiles for the entire set of cohorts. (A) Clustering of WT and Prdx2 KO profiles at days 8, 15, or 20. (B) Clustering of the PRdx2 KO/WT ratios at the different time points.

Techniques Used: Metabolomic, Clinical Proteomics

Volcano plot comparisons between various pairwise experimental groups (A) Comparison of 3- versus 1-week-old RBCs showing similar trends for the WT and Prdx2 KO, particularly with increased ophthalmate and NaMN fold changes and decreased acyl-carnitines, alpha-ketoglutarate, and serotonin. There are notable metabolite differences in the Prdx2 KO mice RBCs that are also noted in other pairwise comparisons (e.g., uridine, inosine, tyrosine, and isoleucine). (B) Comparison of the youngest RBC cell population (day 8, Biotin−) versus the oldest, most heterogeneous RBC population (day 20, Biotin+). Very similar, concordant changes among metabolites are noted for the WT and Prdx2 KO alike. (C) Comparison of Prdx2 KO versus WT RBCs at 8, 15, and 20 days, respectively. These volcano plots highlight some of the genotypic differences in the in vivo aging study. Notable differences include increased intracellular fold changes in arginine, valine, and uridine. Although ophthalmate changes in Prdx2 KO and WT (A and B), quantitative response in the Prdx2 KO is different than the WT.
Figure Legend Snippet: Volcano plot comparisons between various pairwise experimental groups (A) Comparison of 3- versus 1-week-old RBCs showing similar trends for the WT and Prdx2 KO, particularly with increased ophthalmate and NaMN fold changes and decreased acyl-carnitines, alpha-ketoglutarate, and serotonin. There are notable metabolite differences in the Prdx2 KO mice RBCs that are also noted in other pairwise comparisons (e.g., uridine, inosine, tyrosine, and isoleucine). (B) Comparison of the youngest RBC cell population (day 8, Biotin−) versus the oldest, most heterogeneous RBC population (day 20, Biotin+). Very similar, concordant changes among metabolites are noted for the WT and Prdx2 KO alike. (C) Comparison of Prdx2 KO versus WT RBCs at 8, 15, and 20 days, respectively. These volcano plots highlight some of the genotypic differences in the in vivo aging study. Notable differences include increased intracellular fold changes in arginine, valine, and uridine. Although ophthalmate changes in Prdx2 KO and WT (A and B), quantitative response in the Prdx2 KO is different than the WT.

Techniques Used: Comparison, In Vivo

Highlights of metabolite alterations in glycolysis Glycolysis and closely associated sugar metabolite sub-network with select bar charts of significantly altered metabolites for Old (day 20/Biotin+) and Young (day 8/Biotin−) for WT and Prdx2 KO mice. Asterisks and associated bars demarcate significant differences (ANOVA, p < 0.05).
Figure Legend Snippet: Highlights of metabolite alterations in glycolysis Glycolysis and closely associated sugar metabolite sub-network with select bar charts of significantly altered metabolites for Old (day 20/Biotin+) and Young (day 8/Biotin−) for WT and Prdx2 KO mice. Asterisks and associated bars demarcate significant differences (ANOVA, p < 0.05).

Techniques Used:

Glutathione metabolism sub-network The glutathione sub-network with bar charts of select metabolites for Old (day 20/Biotin+) and Young (Day 8/Biotin−) for WT and Prdx2 KO mice. Asterisks and associated bars demarcate significant differences (ANOVA, p < 0.05).
Figure Legend Snippet: Glutathione metabolism sub-network The glutathione sub-network with bar charts of select metabolites for Old (day 20/Biotin+) and Young (Day 8/Biotin−) for WT and Prdx2 KO mice. Asterisks and associated bars demarcate significant differences (ANOVA, p < 0.05).

Techniques Used:

NAD metabolism sub-network Outline of key steps in NAD metabolism with bar charts of select metabolites for Old (day 20/Biotin+) and Young (day 8/Biotin−) for WT and Prdx2 KO mice. Asterisks and associated bars demarcate significant differences (ANOVA, p < 0.05).
Figure Legend Snippet: NAD metabolism sub-network Outline of key steps in NAD metabolism with bar charts of select metabolites for Old (day 20/Biotin+) and Young (day 8/Biotin−) for WT and Prdx2 KO mice. Asterisks and associated bars demarcate significant differences (ANOVA, p < 0.05).

Techniques Used:

Highlights of metabolite alterations in fatty acid and glycerolipid metabolism Outline of the key steps in lipid metabolism with bar charts of select metabolites for Older (day 20/Biotin+) and Younger (day 8/Biotin−) RBC from WT and Prdx2 KO mice. There is more variability and noise in the lipid profiles. A notable exception is GPC, which exhibits among the largest and most significant alterations (consistent with prior work). Choline and carnitine are also notably altered. Asterisks and associated bars demarcate significant differences (ANOVA, p < 0.05).
Figure Legend Snippet: Highlights of metabolite alterations in fatty acid and glycerolipid metabolism Outline of the key steps in lipid metabolism with bar charts of select metabolites for Older (day 20/Biotin+) and Younger (day 8/Biotin−) RBC from WT and Prdx2 KO mice. There is more variability and noise in the lipid profiles. A notable exception is GPC, which exhibits among the largest and most significant alterations (consistent with prior work). Choline and carnitine are also notably altered. Asterisks and associated bars demarcate significant differences (ANOVA, p < 0.05).

Techniques Used:

Metabolomic alterations over time across all groups Four different, general time course trajectories (MI, MD, VI, and XI) have been observed over the entire metabolome, with either monotonic changes or concave versus trajectories with peaks versus nadirs, respectively, occurring at approximately 2 weeks of RBC age. Selected metabolites from different metabolic pathways encapsulating the various patterns of metabolite concentration shifts that occur over time in WT and Prdx2 KO RBC. Red dotted box: glutathione-related metabolites. Blue dotted box: glycolytic metabolites. The dark red and blue lines correspond to Biotin− RBC. The light red and blue lines correspond to Biotin+ RBC. Significant associations (ANOVA, p < 0.05) for same age comparisons (days 8, 15, and 20), respectively, are denoted by ∗ for WT Biotin+ vs. WT Biotin−, ‡ for Prdx2 KO Biotin+ vs. Prdx2 KO Biotin−, • for WT Biotin+ vs. Prdx2 KO Biotin−, and ∧ for WT Biotin− vs. Prdx2 KO Biotin−.
Figure Legend Snippet: Metabolomic alterations over time across all groups Four different, general time course trajectories (MI, MD, VI, and XI) have been observed over the entire metabolome, with either monotonic changes or concave versus trajectories with peaks versus nadirs, respectively, occurring at approximately 2 weeks of RBC age. Selected metabolites from different metabolic pathways encapsulating the various patterns of metabolite concentration shifts that occur over time in WT and Prdx2 KO RBC. Red dotted box: glutathione-related metabolites. Blue dotted box: glycolytic metabolites. The dark red and blue lines correspond to Biotin− RBC. The light red and blue lines correspond to Biotin+ RBC. Significant associations (ANOVA, p < 0.05) for same age comparisons (days 8, 15, and 20), respectively, are denoted by ∗ for WT Biotin+ vs. WT Biotin−, ‡ for Prdx2 KO Biotin+ vs. Prdx2 KO Biotin−, • for WT Biotin+ vs. Prdx2 KO Biotin−, and ∧ for WT Biotin− vs. Prdx2 KO Biotin−.

Techniques Used: Metabolomic, Concentration Assay

Unsupervised analysis of mass action ratios (MARs) Linear discriminant analysis of the MAR in the RBC networks differentiates between the WT and Prdx2 KO as well as the homogeneous (Biotin−) and heterogeneous (Biotin+) aged RBCs.
Figure Legend Snippet: Unsupervised analysis of mass action ratios (MARs) Linear discriminant analysis of the MAR in the RBC networks differentiates between the WT and Prdx2 KO as well as the homogeneous (Biotin−) and heterogeneous (Biotin+) aged RBCs.

Techniques Used:



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Jackson Laboratory prdx2 knockout male mice
Study design and overview Experimental design for time course metabolomic profiling of male C57Bl6 wild-type and <t>Prdx2−</t> mice in vivo labeling, Biotin+ and Biotin−bead separation. Blood draws were performed at three different time points (8, 15, and 20 days) for each cohort with targeted metabolomic profiling. The subsequent analyses enable assessment of biochemical aging in vivo and the consequences of loss of Prdx2.
Prdx2 Knockout Male Mice, supplied by Jackson Laboratory, 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/prdx2 knockout male mice/product/Jackson Laboratory
Average 86 stars, based on 1 article reviews
prdx2 knockout male mice - by Bioz Stars, 2026-05
86/100 stars
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Study design and overview Experimental design for time course metabolomic profiling of male C57Bl6 wild-type and Prdx2− mice in vivo labeling, Biotin+ and Biotin−bead separation. Blood draws were performed at three different time points (8, 15, and 20 days) for each cohort with targeted metabolomic profiling. The subsequent analyses enable assessment of biochemical aging in vivo and the consequences of loss of Prdx2.

Journal: iScience

Article Title: The loss of peroxiredoxin 2 in mice disrupts the biochemical aging phenotype in erythrocytes

doi: 10.1016/j.isci.2025.114608

Figure Lengend Snippet: Study design and overview Experimental design for time course metabolomic profiling of male C57Bl6 wild-type and Prdx2− mice in vivo labeling, Biotin+ and Biotin−bead separation. Blood draws were performed at three different time points (8, 15, and 20 days) for each cohort with targeted metabolomic profiling. The subsequent analyses enable assessment of biochemical aging in vivo and the consequences of loss of Prdx2.

Article Snippet: All animal experiments were performed with C57BL/6J or Prdx2 knockout male mice from The Jackson Laboratory (Bar Harbor, ME).

Techniques: Metabolomic, In Vivo, Labeling

Unsupervised analysis of intracellular metabolomic profiles Clustering of plasma metabolomics profiles for the entire set of cohorts. (A) Clustering of WT and Prdx2 KO profiles at days 8, 15, or 20. (B) Clustering of the PRdx2 KO/WT ratios at the different time points.

Journal: iScience

Article Title: The loss of peroxiredoxin 2 in mice disrupts the biochemical aging phenotype in erythrocytes

doi: 10.1016/j.isci.2025.114608

Figure Lengend Snippet: Unsupervised analysis of intracellular metabolomic profiles Clustering of plasma metabolomics profiles for the entire set of cohorts. (A) Clustering of WT and Prdx2 KO profiles at days 8, 15, or 20. (B) Clustering of the PRdx2 KO/WT ratios at the different time points.

Article Snippet: All animal experiments were performed with C57BL/6J or Prdx2 knockout male mice from The Jackson Laboratory (Bar Harbor, ME).

Techniques: Metabolomic, Clinical Proteomics

Volcano plot comparisons between various pairwise experimental groups (A) Comparison of 3- versus 1-week-old RBCs showing similar trends for the WT and Prdx2 KO, particularly with increased ophthalmate and NaMN fold changes and decreased acyl-carnitines, alpha-ketoglutarate, and serotonin. There are notable metabolite differences in the Prdx2 KO mice RBCs that are also noted in other pairwise comparisons (e.g., uridine, inosine, tyrosine, and isoleucine). (B) Comparison of the youngest RBC cell population (day 8, Biotin−) versus the oldest, most heterogeneous RBC population (day 20, Biotin+). Very similar, concordant changes among metabolites are noted for the WT and Prdx2 KO alike. (C) Comparison of Prdx2 KO versus WT RBCs at 8, 15, and 20 days, respectively. These volcano plots highlight some of the genotypic differences in the in vivo aging study. Notable differences include increased intracellular fold changes in arginine, valine, and uridine. Although ophthalmate changes in Prdx2 KO and WT (A and B), quantitative response in the Prdx2 KO is different than the WT.

Journal: iScience

Article Title: The loss of peroxiredoxin 2 in mice disrupts the biochemical aging phenotype in erythrocytes

doi: 10.1016/j.isci.2025.114608

Figure Lengend Snippet: Volcano plot comparisons between various pairwise experimental groups (A) Comparison of 3- versus 1-week-old RBCs showing similar trends for the WT and Prdx2 KO, particularly with increased ophthalmate and NaMN fold changes and decreased acyl-carnitines, alpha-ketoglutarate, and serotonin. There are notable metabolite differences in the Prdx2 KO mice RBCs that are also noted in other pairwise comparisons (e.g., uridine, inosine, tyrosine, and isoleucine). (B) Comparison of the youngest RBC cell population (day 8, Biotin−) versus the oldest, most heterogeneous RBC population (day 20, Biotin+). Very similar, concordant changes among metabolites are noted for the WT and Prdx2 KO alike. (C) Comparison of Prdx2 KO versus WT RBCs at 8, 15, and 20 days, respectively. These volcano plots highlight some of the genotypic differences in the in vivo aging study. Notable differences include increased intracellular fold changes in arginine, valine, and uridine. Although ophthalmate changes in Prdx2 KO and WT (A and B), quantitative response in the Prdx2 KO is different than the WT.

Article Snippet: All animal experiments were performed with C57BL/6J or Prdx2 knockout male mice from The Jackson Laboratory (Bar Harbor, ME).

Techniques: Comparison, In Vivo

Highlights of metabolite alterations in glycolysis Glycolysis and closely associated sugar metabolite sub-network with select bar charts of significantly altered metabolites for Old (day 20/Biotin+) and Young (day 8/Biotin−) for WT and Prdx2 KO mice. Asterisks and associated bars demarcate significant differences (ANOVA, p < 0.05).

Journal: iScience

Article Title: The loss of peroxiredoxin 2 in mice disrupts the biochemical aging phenotype in erythrocytes

doi: 10.1016/j.isci.2025.114608

Figure Lengend Snippet: Highlights of metabolite alterations in glycolysis Glycolysis and closely associated sugar metabolite sub-network with select bar charts of significantly altered metabolites for Old (day 20/Biotin+) and Young (day 8/Biotin−) for WT and Prdx2 KO mice. Asterisks and associated bars demarcate significant differences (ANOVA, p < 0.05).

Article Snippet: All animal experiments were performed with C57BL/6J or Prdx2 knockout male mice from The Jackson Laboratory (Bar Harbor, ME).

Techniques:

Glutathione metabolism sub-network The glutathione sub-network with bar charts of select metabolites for Old (day 20/Biotin+) and Young (Day 8/Biotin−) for WT and Prdx2 KO mice. Asterisks and associated bars demarcate significant differences (ANOVA, p < 0.05).

Journal: iScience

Article Title: The loss of peroxiredoxin 2 in mice disrupts the biochemical aging phenotype in erythrocytes

doi: 10.1016/j.isci.2025.114608

Figure Lengend Snippet: Glutathione metabolism sub-network The glutathione sub-network with bar charts of select metabolites for Old (day 20/Biotin+) and Young (Day 8/Biotin−) for WT and Prdx2 KO mice. Asterisks and associated bars demarcate significant differences (ANOVA, p < 0.05).

Article Snippet: All animal experiments were performed with C57BL/6J or Prdx2 knockout male mice from The Jackson Laboratory (Bar Harbor, ME).

Techniques:

NAD metabolism sub-network Outline of key steps in NAD metabolism with bar charts of select metabolites for Old (day 20/Biotin+) and Young (day 8/Biotin−) for WT and Prdx2 KO mice. Asterisks and associated bars demarcate significant differences (ANOVA, p < 0.05).

Journal: iScience

Article Title: The loss of peroxiredoxin 2 in mice disrupts the biochemical aging phenotype in erythrocytes

doi: 10.1016/j.isci.2025.114608

Figure Lengend Snippet: NAD metabolism sub-network Outline of key steps in NAD metabolism with bar charts of select metabolites for Old (day 20/Biotin+) and Young (day 8/Biotin−) for WT and Prdx2 KO mice. Asterisks and associated bars demarcate significant differences (ANOVA, p < 0.05).

Article Snippet: All animal experiments were performed with C57BL/6J or Prdx2 knockout male mice from The Jackson Laboratory (Bar Harbor, ME).

Techniques:

Highlights of metabolite alterations in fatty acid and glycerolipid metabolism Outline of the key steps in lipid metabolism with bar charts of select metabolites for Older (day 20/Biotin+) and Younger (day 8/Biotin−) RBC from WT and Prdx2 KO mice. There is more variability and noise in the lipid profiles. A notable exception is GPC, which exhibits among the largest and most significant alterations (consistent with prior work). Choline and carnitine are also notably altered. Asterisks and associated bars demarcate significant differences (ANOVA, p < 0.05).

Journal: iScience

Article Title: The loss of peroxiredoxin 2 in mice disrupts the biochemical aging phenotype in erythrocytes

doi: 10.1016/j.isci.2025.114608

Figure Lengend Snippet: Highlights of metabolite alterations in fatty acid and glycerolipid metabolism Outline of the key steps in lipid metabolism with bar charts of select metabolites for Older (day 20/Biotin+) and Younger (day 8/Biotin−) RBC from WT and Prdx2 KO mice. There is more variability and noise in the lipid profiles. A notable exception is GPC, which exhibits among the largest and most significant alterations (consistent with prior work). Choline and carnitine are also notably altered. Asterisks and associated bars demarcate significant differences (ANOVA, p < 0.05).

Article Snippet: All animal experiments were performed with C57BL/6J or Prdx2 knockout male mice from The Jackson Laboratory (Bar Harbor, ME).

Techniques:

Metabolomic alterations over time across all groups Four different, general time course trajectories (MI, MD, VI, and XI) have been observed over the entire metabolome, with either monotonic changes or concave versus trajectories with peaks versus nadirs, respectively, occurring at approximately 2 weeks of RBC age. Selected metabolites from different metabolic pathways encapsulating the various patterns of metabolite concentration shifts that occur over time in WT and Prdx2 KO RBC. Red dotted box: glutathione-related metabolites. Blue dotted box: glycolytic metabolites. The dark red and blue lines correspond to Biotin− RBC. The light red and blue lines correspond to Biotin+ RBC. Significant associations (ANOVA, p < 0.05) for same age comparisons (days 8, 15, and 20), respectively, are denoted by ∗ for WT Biotin+ vs. WT Biotin−, ‡ for Prdx2 KO Biotin+ vs. Prdx2 KO Biotin−, • for WT Biotin+ vs. Prdx2 KO Biotin−, and ∧ for WT Biotin− vs. Prdx2 KO Biotin−.

Journal: iScience

Article Title: The loss of peroxiredoxin 2 in mice disrupts the biochemical aging phenotype in erythrocytes

doi: 10.1016/j.isci.2025.114608

Figure Lengend Snippet: Metabolomic alterations over time across all groups Four different, general time course trajectories (MI, MD, VI, and XI) have been observed over the entire metabolome, with either monotonic changes or concave versus trajectories with peaks versus nadirs, respectively, occurring at approximately 2 weeks of RBC age. Selected metabolites from different metabolic pathways encapsulating the various patterns of metabolite concentration shifts that occur over time in WT and Prdx2 KO RBC. Red dotted box: glutathione-related metabolites. Blue dotted box: glycolytic metabolites. The dark red and blue lines correspond to Biotin− RBC. The light red and blue lines correspond to Biotin+ RBC. Significant associations (ANOVA, p < 0.05) for same age comparisons (days 8, 15, and 20), respectively, are denoted by ∗ for WT Biotin+ vs. WT Biotin−, ‡ for Prdx2 KO Biotin+ vs. Prdx2 KO Biotin−, • for WT Biotin+ vs. Prdx2 KO Biotin−, and ∧ for WT Biotin− vs. Prdx2 KO Biotin−.

Article Snippet: All animal experiments were performed with C57BL/6J or Prdx2 knockout male mice from The Jackson Laboratory (Bar Harbor, ME).

Techniques: Metabolomic, Concentration Assay

Unsupervised analysis of mass action ratios (MARs) Linear discriminant analysis of the MAR in the RBC networks differentiates between the WT and Prdx2 KO as well as the homogeneous (Biotin−) and heterogeneous (Biotin+) aged RBCs.

Journal: iScience

Article Title: The loss of peroxiredoxin 2 in mice disrupts the biochemical aging phenotype in erythrocytes

doi: 10.1016/j.isci.2025.114608

Figure Lengend Snippet: Unsupervised analysis of mass action ratios (MARs) Linear discriminant analysis of the MAR in the RBC networks differentiates between the WT and Prdx2 KO as well as the homogeneous (Biotin−) and heterogeneous (Biotin+) aged RBCs.

Article Snippet: All animal experiments were performed with C57BL/6J or Prdx2 knockout male mice from The Jackson Laboratory (Bar Harbor, ME).

Techniques: