b6 129p2 nos2 tm1lau j (Jackson Laboratory)
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0.4 AND NO-specific effect >0.5); NO-dependent downregulation (blue; WT stimulation effect < −0.4 AND NO-specific effect < −0.5); NO-independent response (yellow; |WT stimulation effect| > 0.4 AND |iNOS KO stimulation effect| > 0.4 AND |NO-specific effect| < 0.5); under thresholds (grey; not meeting criteria above). " width="250" height="auto" />B6 129p2 Nos2 Tm1lau J, 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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1) Product Images from "Multi-omic analysis reveals nitric oxide dependent remodeling in classically activated macrophages and identifies negative regulation mediated by AKR1A1"
Article Title: Multi-omic analysis reveals nitric oxide dependent remodeling in classically activated macrophages and identifies negative regulation mediated by AKR1A1
Journal: Redox Biology
doi: 10.1016/j.redox.2026.104181
0.4 AND NO-specific effect >0.5); NO-dependent downregulation (blue; WT stimulation effect < −0.4 AND NO-specific effect < −0.5); NO-independent response (yellow; |WT stimulation effect| > 0.4 AND |iNOS KO stimulation effect| > 0.4 AND |NO-specific effect| < 0.5); under thresholds (grey; not meeting criteria above). " title="... Nitrite concentrations in media of wild-type (WT) or iNOS knockout (KO) BMDM with or without LPS/IFNγ stimulation ..." property="contentUrl" width="100%" height="100%"/>
Figure Legend Snippet: Global proteomic profiling reveals NO•-dependent remodeling in classically activated macrophages (A) Nitrite concentrations in media of wild-type (WT) or iNOS knockout (KO) BMDM with or without LPS/IFNγ stimulation for 48 h, and with or without 200 μM DETA-NONOate treatment. Data represents mean ± standard deviation, n = 3 biological replicates. Statistical analysis by one-way ANOVA with Tukey's post hoc test for multiple comparisons with p-value reported; ns indicates not significant. (B) Principal component analysis (PCA) of all proteins. PC1 and PC2 shown with 95% confidence ellipses. (C – D) Pathway enrichment analysis (Mouse WikiPathway 2024 via Enrichr) for PC2-negative (C) and PC2-positive (D) contributors. (E) Heatmap showing Z-score normalized expression of all proteins across condition (individual replicates designated by "_1″ through "_4″ suffix). Hierarchical clustering based on Pearson correlation distance (Ward.D2 linkage). Color scale: blue (low) and red (high) expression relative to mean. Rows categorized by response pattern: NO-dependent upregulation (red; WT stimulation effect >0.4 AND NO-specific effect >0.5); NO-dependent downregulation (blue; WT stimulation effect < −0.4 AND NO-specific effect < −0.5); NO-independent response (yellow; |WT stimulation effect| > 0.4 AND |iNOS KO stimulation effect| > 0.4 AND |NO-specific effect| < 0.5); under thresholds (grey; not meeting criteria above).
Techniques Used: Knock-Out, Standard Deviation, Expressing
Figure Legend Snippet: The effect of NO• in transcriptomic remodeling and its role in mediating major proteomic changes. (A) Left : Cross-omic correlation analysis comparing iNOS-dependent proteomic and transcriptomic changes (log 2 fold change: stimulated iNOS KO versus stimulated WT) in RAW264.7 cells for genes with corresponding protein measurements (n = 5001). Points colored by concordance category based on statistical significance: protein only (blue), RNA only (orange), both significant with opposite direction (yellow), both significant with concordant effect (green), or neither (grey). Linear regression with 95% confidence interval (shaded region). Doughnut chart shows category distribution (%) with counts in each category. Right : Pathway enrichment analysis (Mouse WikiPathway 2024 via Enrichr) for each of the category. (B–C) Cross-omic correlation for PCA-defined NO-regulated protein subsets. (B) PC2-negative contributors. Points colored by pathway membership based on enrichment analysis: ETC/OXPHOS (red), Cell Cycle/IL-17A signaling (blue), or other pathways (grey). All pathway-annotated genes are labeled. (C) PC2-positive contributors. Points colored by pathway membership: Oxidative Stress/Glutathione metabolism (orange) or other pathways (grey). All pathway-annotated genes are labeled. Linear regression with 95% confidence interval shown (shaded region) for B–C. (D – E) Transcription factor pathway enrichment analysis (D: ChEA 2022; E: ENCODE and ChEA Consensus) using Enrichr among PC2-positive contributors from C.
Techniques Used: Labeling
Figure Legend Snippet: NO• drives complex-specific remodeling of the electron transport chain (A) Cross-model proteomic correlation for ETC/OXPHOS proteins comparing iNOS-dependent changes (log 2 fold change: stimulated iNOS knockout (KO) versus stimulated wildtype (WT)) between BMDM (x-axis) and RAW264.7 cells (y-axis). Dots represent 68 proteins defined by KEGG OXPHOS pathway that are quantified in both models, color coded by ETC Complex assignment; V-ATPase subunits (vacuolar/lysosomal) shown separately from mitochondrial Complex V (F-type ATP synthase). Linear regression with 95% confidence interval (shaded region). (B) Cross-omic correlation for ETC/OXPHOS proteins comparing iNOS-dependent transcriptomic (x-axis) and proteomic (y-axis) changes in RAW264.7 cells (n = 69 genes with measurements in both datasets). Points colored by ETC complex as in (A). Linear regression with 95% confidence interval shown. (C – G) Heatmaps showing changes in each of the ETC complexes: (C) Complex I, (D) Complex II, (E) Complex III, (F) Complex IV, (G) Complex V, across eight experimental conditions: unstimulated (unstim) or stimulated (stim) with LPS/IFNγ for 48 h (stim) in WT or iNOS KO genotypes; ± DETA-NONOate (DETA). Colors represent row-wise Z-score normalized protein abundance (blue = decreased, red = increased relative to row mean). Rows (proteins) clustered by Pearson correlation; columns ordered by experimental condition. n = 4 biological replicates per condition (individual replicates designated by “_1” through “_4” suffix). (H) . Normalized oxygen consumption rate (OCR) of BMDM across experimental conditions as described in C-G. Data represent mean ± standard deviation, n = 3 biological replicates. Statistical analysis by one-way ANOVA with Tukey's post hoc test for multiple comparisons with p-value reported; ns indicates not significant.
Techniques Used: Knock-Out, Quantitative Proteomics, Standard Deviation
Figure Legend Snippet: Akr1a1 induction requires both classical activation and NO• signaling and is partially NRF2-dependent (A) Proteins significantly decreased in iNOS KO vs WT (both LPS/IFNγ-stimulated) across all three datasets (BMDM proteomics, RAW264.7 proteomics, RAW264.7 RNA-seq), ranked by RAW264.7 protein fold change. Red highlights proteins significantly induced by LPS/IFNγ in WT cells (p-adj <0.05, log2FC > 0). Top 15 labeled. (B) Top : Representative immunoblot showing AKR1A1 and iNOS protein abundance in WT and iNOS KO BMDMs stimulated with LPS/IFNγ for 0, 6, 12, 24, or 48 h. Bottom : Quantification of AKR1A1 and iNOS protein abundance (normalized to α-tubulin). Data represents mean ± standard deviation (SD) from n = 3 independent experiments. (C) Relative abundance of AKR1A1 protein from RAW264.7 cell proteomics dataset. (D) Left: Immunoblot showing AKR1A1 and iNOS protein abundance in primary WT or iNOS KO peritoneal macrophages with or without 48-h LPS/IFNγ stimulation (in triplicate). Right: Quantification of AKR1A1 protein abundance (normalized to α-tubulin). Data represents mean ± SD, n = 3 biological replicates. (E) Left: Representative immunoblot showing AKR1A1 and iNOS protein abundance in WT and iNOS KO BMDMs under four conditions: treated or untreated for 48 h with LPS/IFNγ alone, 200 μM DETA-NONOate alone, or LPS/IFNγ and DETA-NONOate combined. Right: Quantification of AKR1A1 protein abundance (normalized to α-tubulin). Data represents mean ± SD, n = 3 independent experiments. (F) Relative mRNA expression of Akr1a1 measured by RT-PCR from cells treated as in E. Expression normalized to Hnrpab reference gene using ΔΔCt method. Data represents mean ± SD, n = 3 biological replicates. (G – I) Relative abundance of MafG (G), MafK (H), and MafF (I) from BMDM proteomics dataset. (J) Relative mRNA expression of Akr1a1 in iNOS KO BMDMs unstimulated or stimulated with LPS/IFNγ ± DETA-NONOate ± ML385 (Nrf2 inhibitor, 10 μM) for 48 h. Expression normalized to Hnrpab . Data represents mean ± SD, n = 3 biological replicates. Statistics : For panels B-J, statistical comparisons were performed using one-way ANOVA with Tukey's post hoc test for multiple comparisons with p-value reported; ns indicates not significant.
Techniques Used: Activation Assay, RNA Sequencing, Labeling, Western Blot, Quantitative Proteomics, Standard Deviation, Expressing, Reverse Transcription Polymerase Chain Reaction
Figure Legend Snippet: Akr1a1 regulates metabolic and functional response to classical activation by counteracting NO• (A ) Schematic showing AKR1A1's main enzyme activity as SNO-CoA reductase (yellow) and its mechanistic connection to NO• driven inhibition of pyruvate dehydrogenase complex (PDHC) (blue). SNO-CoA is the key molecule delivering NO-derived modifications onto the lipoic cofactor at the catalytic center of PDHC's E2 subunits (B) Left: Representative immunoblot showing iNOS, DLAT (E2 subunit of PDHC), AKR1A1 protein abundance, along with functional lipoic acid detection (anti-lipoic acid antibody) at the molecular weight of DLAT in immortalized bone marrow-derived macrophages (iBMDMs). Wildtype (WT) or Akr1a1 KO (KO) iBMDMs were stimulated with LPS/IFNγ for 0, 24, or 48 h. Each lane represents an independent iBMDM clone (generated using independent guide RNAs for Akr1a1 KO). Right: Quantification of functional lipoic acid to DLAT protein ratio at 24-h timepoint, normalized to unstimulated WT condition. Data represents mean ± standard deviation (SD), n = 2 independent clones per genotype. (C) Relative PDHC enzymatic activity measured in cell lysates from iBMDMs treated as in (B) at 0-, 24-, and 48-h timepoints. Activity normalized to unstimulated WT. Data represents mean ± SD, n = 4 measurements per genotype per timepoint (2 independent iBMDM clones assayed in 2 separate experiments) . (D) Experimental design schematic for in vitro PDHC–Akr1a1 co-incubation activity assays. Purified porcine PDHC was incubated for 3 h at room temperature with indicated combinations of PDHC substrates (NADH and CoA) and PAPA-NONOate (NO• donor) ± purified Akr1a1-FLAG (WT or K127A) ± NADPH (Akr1a1 cofactor), followed by measurement of PDHC activity. (E) Relative PDHC enzymatic activity from in vitro co-incubation assays as described in (D). All components added simultaneously and incubated for 3 h at room temperature before saturating levels of substrate and activity measurement. Activity normalized to protein only control. Data represents mean ± SD, n = 3 independent reactions. (F) Schematic showing SNO-CoA mediated inhibition of PDHC upstream of IRG1 regulating itaconate level, and AKR1A1 counteracting the effect of NO in this process. (G) Percent 2-labeled acetyl-CoA from kinetic U– 13 C- d -glucose tracing in WT, Akr1a1 KO, or Akr1a1/iNOS DKO RAW264.7 cells unstimulated or stimulated with LPS/IFNγ for 48 h. Data represents mean ± SD, n = 3 biological replicates. (H) Relative total abundance of itaconate from conditions described in (G). (I) Pathway enrichment analysis (GO Biological Process) using Enrichr among downregulated differential expressed genes from . (J) Relative mRNA expression of IL6 from of WT, Akr1a1 KO, iNOS KO and Akr1a1/iNOS DKO RAW264.7 cells stimulated for 0-, 3-, 6-, 12, 24-, and 48-h. Expression normalized to Hnrpab . n = 1 per timepoint. (K) IL-6 measured via ELISA from media of WT, Akr1a1 KO, and Akr1a1/iNOS DKO RAW264.7 cells unstimulated or stimulated for 48-h. Data represents mean ± SD, n = 3 biological replicates. (L) Median fluorescent intensity (MFI) for the markers, F4/80, CD86, MHCII, and CD206, on WT or Akr1a1 KO RAW264.7 cells with or without 48-h LPS/IFNγ. Data represents mean ± SD, n = 3 biological replicates. Statistics : For panel E-H and K, statistical comparisons were performed using one-way ANOVA with Tukey's post hoc test for multiple comparisons with p-value reported; ns indicates not significant. For panel B, C, and L, statistical comparisons were performed using unpaired two-tailed t -test with p-value reported.
Techniques Used: Functional Assay, Activation Assay, Activity Assay, Inhibition, Derivative Assay, Western Blot, Quantitative Proteomics, Molecular Weight, Generated, Standard Deviation, Clone Assay, In Vitro, Incubation, Purification, Control, Labeling, Expressing, Enzyme-linked Immunosorbent Assay, Two Tailed Test



