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Mendeley Ltd raw western blot data
Effect of Hepa1-6 CM on M2 markers expression in BMDMs BMDMs were treated with Hepa1-6 CM (0, 40, and 100% (v/v) for 24 h. (A) Relative expressions of Arg1 , Mrc1 (CD206), Cd163 , and Il10 in Hepa1-6 treated-BMDM at varied concentrations were measured by RT-qPCR. (B) Representative FACS plot showing gating strategy and the percentage of CD206 + BMDMs in BMDMs that were treated with Hepa1-6 CM at varied concentrations. (C) Frequency of CD206+ cells in Hepa1-6 treated-BMDMs at varied concentrations was detected by flow cytometry. BMDMs treated with IL-4 (100 ng/mL) were used as a positive control for IL-4-induced M2 macrophages. (D) Arginase 1 expression in Hepa1-6 treated-BMDMs at varied concentrations was detected by <t>western</t> <t>blot.</t> <t>Data</t> expressed as mean ± S.E.M. of three biological replicates. ∗ p < 0.05, ∗∗ p < 0.01, ∗∗∗ p < 0.001, and ∗∗∗∗ p < 0.0001. Statistical test was conducted by one-way ANOVA.
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1) Product Images from "Loss of Ezh2 promotes M2-like macrophage polarization in hepatocellular carcinoma"

Article Title: Loss of Ezh2 promotes M2-like macrophage polarization in hepatocellular carcinoma

Journal: iScience

doi: 10.1016/j.isci.2026.115180

Effect of Hepa1-6 CM on M2 markers expression in BMDMs BMDMs were treated with Hepa1-6 CM (0, 40, and 100% (v/v) for 24 h. (A) Relative expressions of Arg1 , Mrc1 (CD206), Cd163 , and Il10 in Hepa1-6 treated-BMDM at varied concentrations were measured by RT-qPCR. (B) Representative FACS plot showing gating strategy and the percentage of CD206 + BMDMs in BMDMs that were treated with Hepa1-6 CM at varied concentrations. (C) Frequency of CD206+ cells in Hepa1-6 treated-BMDMs at varied concentrations was detected by flow cytometry. BMDMs treated with IL-4 (100 ng/mL) were used as a positive control for IL-4-induced M2 macrophages. (D) Arginase 1 expression in Hepa1-6 treated-BMDMs at varied concentrations was detected by western blot. Data expressed as mean ± S.E.M. of three biological replicates. ∗ p < 0.05, ∗∗ p < 0.01, ∗∗∗ p < 0.001, and ∗∗∗∗ p < 0.0001. Statistical test was conducted by one-way ANOVA.
Figure Legend Snippet: Effect of Hepa1-6 CM on M2 markers expression in BMDMs BMDMs were treated with Hepa1-6 CM (0, 40, and 100% (v/v) for 24 h. (A) Relative expressions of Arg1 , Mrc1 (CD206), Cd163 , and Il10 in Hepa1-6 treated-BMDM at varied concentrations were measured by RT-qPCR. (B) Representative FACS plot showing gating strategy and the percentage of CD206 + BMDMs in BMDMs that were treated with Hepa1-6 CM at varied concentrations. (C) Frequency of CD206+ cells in Hepa1-6 treated-BMDMs at varied concentrations was detected by flow cytometry. BMDMs treated with IL-4 (100 ng/mL) were used as a positive control for IL-4-induced M2 macrophages. (D) Arginase 1 expression in Hepa1-6 treated-BMDMs at varied concentrations was detected by western blot. Data expressed as mean ± S.E.M. of three biological replicates. ∗ p < 0.05, ∗∗ p < 0.01, ∗∗∗ p < 0.001, and ∗∗∗∗ p < 0.0001. Statistical test was conducted by one-way ANOVA.

Techniques Used: Expressing, Quantitative RT-PCR, Flow Cytometry, Positive Control, Western Blot

Chromatin accessibility analysis of Hepa1-6 CM-treated BMDMs WT and Ezh2 KO by ATAC-sequencing (A) Differential accessibility analysis of Hepa1-6 CM-treated BMDMs Ezh2 KO versus Hepa1-6 CM-treated BMDMs WT. (B) Differential accessibility regions showing genomic features of significant open regions in Hepa1-6 CM-treated BMDMs Ezh2 KO versus Hepa1-6 CM-treated BMDMs WT. (C) Selected significant GO term of Hepa1-6 CM-treated BMDMs Ezh2 KO significant open promoter regions. (D) Volcano plot showing RNA-seq-intersected open regions of Hepa1-6 CM-treated BMDMs Ezh2 KO versus Hepa1-6 CM-treated BMDMs WT. (E) GO analysis of RNA-seq-intersected open regions of Hepa1-6 CM-treated BMDMs Ezh2 KO. (F) Heatmap visualizing the normalized counts from RNA-seq data for genes enriched in the gene ontology (GO) term related to pyruvate metabolic processes. (G) Normalized counts of highlighted pyruvate metabolism- and TCA cycle-related genes. (H) Motif analysis of open regions enriched in pyruvate metabolic processes. (I) Open chromatin regions at the Spi1 promoter (logCPM, ATAC-seq), normalized counts of Spi1 (RNA-seq), and Spi1 (PU.1) protein expression (western blot). WT + Hepa1-6 CM = WT BMDMs treated with Hepa1-6 CM for 24 h; Ezh2 KO + Hepa1-6 CM = Ezh2 KO BMDMs treated with Hepa1-6 CM for 24 h; WT = WT BMDMs cultured in DMEM for 24 h; Ezh2 KO = Ezh2 KO BMDMs cultured in DMEM for 24 h. ATAC-seq was conducted in two biological replicates. Data expressed as mean ± S.E.M. ∗ p < 0.05 and ∗∗∗ p < 0.001 by unpaired t test.
Figure Legend Snippet: Chromatin accessibility analysis of Hepa1-6 CM-treated BMDMs WT and Ezh2 KO by ATAC-sequencing (A) Differential accessibility analysis of Hepa1-6 CM-treated BMDMs Ezh2 KO versus Hepa1-6 CM-treated BMDMs WT. (B) Differential accessibility regions showing genomic features of significant open regions in Hepa1-6 CM-treated BMDMs Ezh2 KO versus Hepa1-6 CM-treated BMDMs WT. (C) Selected significant GO term of Hepa1-6 CM-treated BMDMs Ezh2 KO significant open promoter regions. (D) Volcano plot showing RNA-seq-intersected open regions of Hepa1-6 CM-treated BMDMs Ezh2 KO versus Hepa1-6 CM-treated BMDMs WT. (E) GO analysis of RNA-seq-intersected open regions of Hepa1-6 CM-treated BMDMs Ezh2 KO. (F) Heatmap visualizing the normalized counts from RNA-seq data for genes enriched in the gene ontology (GO) term related to pyruvate metabolic processes. (G) Normalized counts of highlighted pyruvate metabolism- and TCA cycle-related genes. (H) Motif analysis of open regions enriched in pyruvate metabolic processes. (I) Open chromatin regions at the Spi1 promoter (logCPM, ATAC-seq), normalized counts of Spi1 (RNA-seq), and Spi1 (PU.1) protein expression (western blot). WT + Hepa1-6 CM = WT BMDMs treated with Hepa1-6 CM for 24 h; Ezh2 KO + Hepa1-6 CM = Ezh2 KO BMDMs treated with Hepa1-6 CM for 24 h; WT = WT BMDMs cultured in DMEM for 24 h; Ezh2 KO = Ezh2 KO BMDMs cultured in DMEM for 24 h. ATAC-seq was conducted in two biological replicates. Data expressed as mean ± S.E.M. ∗ p < 0.05 and ∗∗∗ p < 0.001 by unpaired t test.

Techniques Used: Sequencing, RNA Sequencing, Expressing, Western Blot, Cell Culture

Activation of STAT3 in BMDMs by Hepa1-6 CM (A) Western blot of p-STAT3 and Arg1 in Hepa1-6 CM treated-BMDMs WT and Ezh2 KO BMDMs. This experiment was conducted independently from those shown in D. (B) Western blot of p-STAT3 in Hepa1-6 CM-treated BMDMs at selected concentrations of Tofacitinib. DMSO was used as a vehicle control by 1% v/v. WT = BMDMs WT; KO = BMDMs Ezh2 KO. Data expressed as mean ± S.E.M. of three biological replicates. ∗ p < 0.05, ∗∗∗ p < 0.001, and ∗∗∗∗ p < 0.0001. Groups labeled with different letters (e.g., a, b, c) are significantly different from each other ( p < 0.05). Statistical analysis was conducted by one-way ANOVA.
Figure Legend Snippet: Activation of STAT3 in BMDMs by Hepa1-6 CM (A) Western blot of p-STAT3 and Arg1 in Hepa1-6 CM treated-BMDMs WT and Ezh2 KO BMDMs. This experiment was conducted independently from those shown in D. (B) Western blot of p-STAT3 in Hepa1-6 CM-treated BMDMs at selected concentrations of Tofacitinib. DMSO was used as a vehicle control by 1% v/v. WT = BMDMs WT; KO = BMDMs Ezh2 KO. Data expressed as mean ± S.E.M. of three biological replicates. ∗ p < 0.05, ∗∗∗ p < 0.001, and ∗∗∗∗ p < 0.0001. Groups labeled with different letters (e.g., a, b, c) are significantly different from each other ( p < 0.05). Statistical analysis was conducted by one-way ANOVA.

Techniques Used: Activation Assay, Western Blot, Control, Labeling



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Effect of Hepa1-6 CM on M2 markers expression in BMDMs BMDMs were treated with Hepa1-6 CM (0, 40, and 100% (v/v) for 24 h. (A) Relative expressions of Arg1 , Mrc1 (CD206), Cd163 , and Il10 in Hepa1-6 treated-BMDM at varied concentrations were measured by RT-qPCR. (B) Representative FACS plot showing gating strategy and the percentage of CD206 + BMDMs in BMDMs that were treated with Hepa1-6 CM at varied concentrations. (C) Frequency of CD206+ cells in Hepa1-6 treated-BMDMs at varied concentrations was detected by flow cytometry. BMDMs treated with IL-4 (100 ng/mL) were used as a positive control for IL-4-induced M2 macrophages. (D) Arginase 1 expression in Hepa1-6 treated-BMDMs at varied concentrations was detected by <t>western</t> <t>blot.</t> <t>Data</t> expressed as mean ± S.E.M. of three biological replicates. ∗ p < 0.05, ∗∗ p < 0.01, ∗∗∗ p < 0.001, and ∗∗∗∗ p < 0.0001. Statistical test was conducted by one-way ANOVA.
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Effect of Hepa1-6 CM on M2 markers expression in BMDMs BMDMs were treated with Hepa1-6 CM (0, 40, and 100% (v/v) for 24 h. (A) Relative expressions of Arg1 , Mrc1 (CD206), Cd163 , and Il10 in Hepa1-6 treated-BMDM at varied concentrations were measured by RT-qPCR. (B) Representative FACS plot showing gating strategy and the percentage of CD206 + BMDMs in BMDMs that were treated with Hepa1-6 CM at varied concentrations. (C) Frequency of CD206+ cells in Hepa1-6 treated-BMDMs at varied concentrations was detected by flow cytometry. BMDMs treated with IL-4 (100 ng/mL) were used as a positive control for IL-4-induced M2 macrophages. (D) Arginase 1 expression in Hepa1-6 treated-BMDMs at varied concentrations was detected by <t>western</t> <t>blot.</t> <t>Data</t> expressed as mean ± S.E.M. of three biological replicates. ∗ p < 0.05, ∗∗ p < 0.01, ∗∗∗ p < 0.001, and ∗∗∗∗ p < 0.0001. Statistical test was conducted by one-way ANOVA.
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Effect of Hepa1-6 CM on M2 markers expression in BMDMs BMDMs were treated with Hepa1-6 CM (0, 40, and 100% (v/v) for 24 h. (A) Relative expressions of Arg1 , Mrc1 (CD206), Cd163 , and Il10 in Hepa1-6 treated-BMDM at varied concentrations were measured by RT-qPCR. (B) Representative FACS plot showing gating strategy and the percentage of CD206 + BMDMs in BMDMs that were treated with Hepa1-6 CM at varied concentrations. (C) Frequency of CD206+ cells in Hepa1-6 treated-BMDMs at varied concentrations was detected by flow cytometry. BMDMs treated with IL-4 (100 ng/mL) were used as a positive control for IL-4-induced M2 macrophages. (D) Arginase 1 expression in Hepa1-6 treated-BMDMs at varied concentrations was detected by <t>western</t> <t>blot.</t> <t>Data</t> expressed as mean ± S.E.M. of three biological replicates. ∗ p < 0.05, ∗∗ p < 0.01, ∗∗∗ p < 0.001, and ∗∗∗∗ p < 0.0001. Statistical test was conducted by one-way ANOVA.
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Effect of Hepa1-6 CM on M2 markers expression in BMDMs BMDMs were treated with Hepa1-6 CM (0, 40, and 100% (v/v) for 24 h. (A) Relative expressions of Arg1 , Mrc1 (CD206), Cd163 , and Il10 in Hepa1-6 treated-BMDM at varied concentrations were measured by RT-qPCR. (B) Representative FACS plot showing gating strategy and the percentage of CD206 + BMDMs in BMDMs that were treated with Hepa1-6 CM at varied concentrations. (C) Frequency of CD206+ cells in Hepa1-6 treated-BMDMs at varied concentrations was detected by flow cytometry. BMDMs treated with IL-4 (100 ng/mL) were used as a positive control for IL-4-induced M2 macrophages. (D) Arginase 1 expression in Hepa1-6 treated-BMDMs at varied concentrations was detected by <t>western</t> <t>blot.</t> <t>Data</t> expressed as mean ± S.E.M. of three biological replicates. ∗ p < 0.05, ∗∗ p < 0.01, ∗∗∗ p < 0.001, and ∗∗∗∗ p < 0.0001. Statistical test was conducted by one-way ANOVA.
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Akk improves hepatic lipid metabolism via PI3K/Akt pathway in obese mice (A–C) Akk significantly affected mouse liver protein network interaction pathways, significantly regulated pathways and differential proteins by proteomic analysis. (D–J) <t>Western</t> <t>blot</t> in the PI3K/Akt pathway in mouse liver: p-PI3K/PI3K, p -AMPK/AMPK, p -Akt/Akt, PPARγ/GAPDH, and SREBP-1c/GAPDH. (K) mRNA levels of genes related to lipogenesis (ACC1, FASN, SCD1, and PPARγ), lipid oxidation (CPT1α), and lipid uptake (SREBP-1c) in mouse liver. <t>Data</t> are expressed as mean ± SD (n = 6–8), ∗ p < 0.05, ∗∗ p < 0.01, ∗∗∗ p < 0.001, compared with the Mod group, and p value was calculated using Dunnet’s post hoc test in one-way ANOVA.
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Effect of Hepa1-6 CM on M2 markers expression in BMDMs BMDMs were treated with Hepa1-6 CM (0, 40, and 100% (v/v) for 24 h. (A) Relative expressions of Arg1 , Mrc1 (CD206), Cd163 , and Il10 in Hepa1-6 treated-BMDM at varied concentrations were measured by RT-qPCR. (B) Representative FACS plot showing gating strategy and the percentage of CD206 + BMDMs in BMDMs that were treated with Hepa1-6 CM at varied concentrations. (C) Frequency of CD206+ cells in Hepa1-6 treated-BMDMs at varied concentrations was detected by flow cytometry. BMDMs treated with IL-4 (100 ng/mL) were used as a positive control for IL-4-induced M2 macrophages. (D) Arginase 1 expression in Hepa1-6 treated-BMDMs at varied concentrations was detected by western blot. Data expressed as mean ± S.E.M. of three biological replicates. ∗ p < 0.05, ∗∗ p < 0.01, ∗∗∗ p < 0.001, and ∗∗∗∗ p < 0.0001. Statistical test was conducted by one-way ANOVA.

Journal: iScience

Article Title: Loss of Ezh2 promotes M2-like macrophage polarization in hepatocellular carcinoma

doi: 10.1016/j.isci.2026.115180

Figure Lengend Snippet: Effect of Hepa1-6 CM on M2 markers expression in BMDMs BMDMs were treated with Hepa1-6 CM (0, 40, and 100% (v/v) for 24 h. (A) Relative expressions of Arg1 , Mrc1 (CD206), Cd163 , and Il10 in Hepa1-6 treated-BMDM at varied concentrations were measured by RT-qPCR. (B) Representative FACS plot showing gating strategy and the percentage of CD206 + BMDMs in BMDMs that were treated with Hepa1-6 CM at varied concentrations. (C) Frequency of CD206+ cells in Hepa1-6 treated-BMDMs at varied concentrations was detected by flow cytometry. BMDMs treated with IL-4 (100 ng/mL) were used as a positive control for IL-4-induced M2 macrophages. (D) Arginase 1 expression in Hepa1-6 treated-BMDMs at varied concentrations was detected by western blot. Data expressed as mean ± S.E.M. of three biological replicates. ∗ p < 0.05, ∗∗ p < 0.01, ∗∗∗ p < 0.001, and ∗∗∗∗ p < 0.0001. Statistical test was conducted by one-way ANOVA.

Article Snippet: Raw Western blot data (deposited on Mendeley) , This paper , https://doi.org/10.17632/vjjgdrkk5z.2.

Techniques: Expressing, Quantitative RT-PCR, Flow Cytometry, Positive Control, Western Blot

Chromatin accessibility analysis of Hepa1-6 CM-treated BMDMs WT and Ezh2 KO by ATAC-sequencing (A) Differential accessibility analysis of Hepa1-6 CM-treated BMDMs Ezh2 KO versus Hepa1-6 CM-treated BMDMs WT. (B) Differential accessibility regions showing genomic features of significant open regions in Hepa1-6 CM-treated BMDMs Ezh2 KO versus Hepa1-6 CM-treated BMDMs WT. (C) Selected significant GO term of Hepa1-6 CM-treated BMDMs Ezh2 KO significant open promoter regions. (D) Volcano plot showing RNA-seq-intersected open regions of Hepa1-6 CM-treated BMDMs Ezh2 KO versus Hepa1-6 CM-treated BMDMs WT. (E) GO analysis of RNA-seq-intersected open regions of Hepa1-6 CM-treated BMDMs Ezh2 KO. (F) Heatmap visualizing the normalized counts from RNA-seq data for genes enriched in the gene ontology (GO) term related to pyruvate metabolic processes. (G) Normalized counts of highlighted pyruvate metabolism- and TCA cycle-related genes. (H) Motif analysis of open regions enriched in pyruvate metabolic processes. (I) Open chromatin regions at the Spi1 promoter (logCPM, ATAC-seq), normalized counts of Spi1 (RNA-seq), and Spi1 (PU.1) protein expression (western blot). WT + Hepa1-6 CM = WT BMDMs treated with Hepa1-6 CM for 24 h; Ezh2 KO + Hepa1-6 CM = Ezh2 KO BMDMs treated with Hepa1-6 CM for 24 h; WT = WT BMDMs cultured in DMEM for 24 h; Ezh2 KO = Ezh2 KO BMDMs cultured in DMEM for 24 h. ATAC-seq was conducted in two biological replicates. Data expressed as mean ± S.E.M. ∗ p < 0.05 and ∗∗∗ p < 0.001 by unpaired t test.

Journal: iScience

Article Title: Loss of Ezh2 promotes M2-like macrophage polarization in hepatocellular carcinoma

doi: 10.1016/j.isci.2026.115180

Figure Lengend Snippet: Chromatin accessibility analysis of Hepa1-6 CM-treated BMDMs WT and Ezh2 KO by ATAC-sequencing (A) Differential accessibility analysis of Hepa1-6 CM-treated BMDMs Ezh2 KO versus Hepa1-6 CM-treated BMDMs WT. (B) Differential accessibility regions showing genomic features of significant open regions in Hepa1-6 CM-treated BMDMs Ezh2 KO versus Hepa1-6 CM-treated BMDMs WT. (C) Selected significant GO term of Hepa1-6 CM-treated BMDMs Ezh2 KO significant open promoter regions. (D) Volcano plot showing RNA-seq-intersected open regions of Hepa1-6 CM-treated BMDMs Ezh2 KO versus Hepa1-6 CM-treated BMDMs WT. (E) GO analysis of RNA-seq-intersected open regions of Hepa1-6 CM-treated BMDMs Ezh2 KO. (F) Heatmap visualizing the normalized counts from RNA-seq data for genes enriched in the gene ontology (GO) term related to pyruvate metabolic processes. (G) Normalized counts of highlighted pyruvate metabolism- and TCA cycle-related genes. (H) Motif analysis of open regions enriched in pyruvate metabolic processes. (I) Open chromatin regions at the Spi1 promoter (logCPM, ATAC-seq), normalized counts of Spi1 (RNA-seq), and Spi1 (PU.1) protein expression (western blot). WT + Hepa1-6 CM = WT BMDMs treated with Hepa1-6 CM for 24 h; Ezh2 KO + Hepa1-6 CM = Ezh2 KO BMDMs treated with Hepa1-6 CM for 24 h; WT = WT BMDMs cultured in DMEM for 24 h; Ezh2 KO = Ezh2 KO BMDMs cultured in DMEM for 24 h. ATAC-seq was conducted in two biological replicates. Data expressed as mean ± S.E.M. ∗ p < 0.05 and ∗∗∗ p < 0.001 by unpaired t test.

Article Snippet: Raw Western blot data (deposited on Mendeley) , This paper , https://doi.org/10.17632/vjjgdrkk5z.2.

Techniques: Sequencing, RNA Sequencing, Expressing, Western Blot, Cell Culture

Activation of STAT3 in BMDMs by Hepa1-6 CM (A) Western blot of p-STAT3 and Arg1 in Hepa1-6 CM treated-BMDMs WT and Ezh2 KO BMDMs. This experiment was conducted independently from those shown in D. (B) Western blot of p-STAT3 in Hepa1-6 CM-treated BMDMs at selected concentrations of Tofacitinib. DMSO was used as a vehicle control by 1% v/v. WT = BMDMs WT; KO = BMDMs Ezh2 KO. Data expressed as mean ± S.E.M. of three biological replicates. ∗ p < 0.05, ∗∗∗ p < 0.001, and ∗∗∗∗ p < 0.0001. Groups labeled with different letters (e.g., a, b, c) are significantly different from each other ( p < 0.05). Statistical analysis was conducted by one-way ANOVA.

Journal: iScience

Article Title: Loss of Ezh2 promotes M2-like macrophage polarization in hepatocellular carcinoma

doi: 10.1016/j.isci.2026.115180

Figure Lengend Snippet: Activation of STAT3 in BMDMs by Hepa1-6 CM (A) Western blot of p-STAT3 and Arg1 in Hepa1-6 CM treated-BMDMs WT and Ezh2 KO BMDMs. This experiment was conducted independently from those shown in D. (B) Western blot of p-STAT3 in Hepa1-6 CM-treated BMDMs at selected concentrations of Tofacitinib. DMSO was used as a vehicle control by 1% v/v. WT = BMDMs WT; KO = BMDMs Ezh2 KO. Data expressed as mean ± S.E.M. of three biological replicates. ∗ p < 0.05, ∗∗∗ p < 0.001, and ∗∗∗∗ p < 0.0001. Groups labeled with different letters (e.g., a, b, c) are significantly different from each other ( p < 0.05). Statistical analysis was conducted by one-way ANOVA.

Article Snippet: Raw Western blot data (deposited on Mendeley) , This paper , https://doi.org/10.17632/vjjgdrkk5z.2.

Techniques: Activation Assay, Western Blot, Control, Labeling

Akk improves hepatic lipid metabolism via PI3K/Akt pathway in obese mice (A–C) Akk significantly affected mouse liver protein network interaction pathways, significantly regulated pathways and differential proteins by proteomic analysis. (D–J) Western blot in the PI3K/Akt pathway in mouse liver: p-PI3K/PI3K, p -AMPK/AMPK, p -Akt/Akt, PPARγ/GAPDH, and SREBP-1c/GAPDH. (K) mRNA levels of genes related to lipogenesis (ACC1, FASN, SCD1, and PPARγ), lipid oxidation (CPT1α), and lipid uptake (SREBP-1c) in mouse liver. Data are expressed as mean ± SD (n = 6–8), ∗ p < 0.05, ∗∗ p < 0.01, ∗∗∗ p < 0.001, compared with the Mod group, and p value was calculated using Dunnet’s post hoc test in one-way ANOVA.

Journal: iScience

Article Title: Akkermansia muciniphila ameliorates fatty liver through microbiota-derived α-ketoisovaleric acid metabolism and hepatic PI3K/Akt signaling

doi: 10.1016/j.isci.2025.112458

Figure Lengend Snippet: Akk improves hepatic lipid metabolism via PI3K/Akt pathway in obese mice (A–C) Akk significantly affected mouse liver protein network interaction pathways, significantly regulated pathways and differential proteins by proteomic analysis. (D–J) Western blot in the PI3K/Akt pathway in mouse liver: p-PI3K/PI3K, p -AMPK/AMPK, p -Akt/Akt, PPARγ/GAPDH, and SREBP-1c/GAPDH. (K) mRNA levels of genes related to lipogenesis (ACC1, FASN, SCD1, and PPARγ), lipid oxidation (CPT1α), and lipid uptake (SREBP-1c) in mouse liver. Data are expressed as mean ± SD (n = 6–8), ∗ p < 0.05, ∗∗ p < 0.01, ∗∗∗ p < 0.001, compared with the Mod group, and p value was calculated using Dunnet’s post hoc test in one-way ANOVA.

Article Snippet: Raw data of Western Blot Data , This paper , Mendeley Data, https://doi.org/10.17632/3fzfd2npw8.1.

Techniques: Western Blot

α-ketoisovaleric acid is the key metabolite in improving hepatic lipid metabolism via PI3K/Akt pathway in obese mice (A) Flowchart of α-ketoisovaleric acid compensation experiment. All mice, except for the Con group, were fed an HFHCD from week 1 to week 8. α-ketoisovaleric acid group was orally administered α-ketoisovaleric acid every day, while the Con and Mod groups were given saline. (B) Representative photographs of mouse livers from each group. (C–H) Western blot in the PI3K/Akt pathway in mouse liver: p-PI3K/PI3K, p -AMPK/AMPK, p -Akt/Akt, PPARγ/GAPDH, and SREBP-1c/GAPDH. (I) mRNA levels of genes related to lipogenesis (ACC1, FASN, and PPARγ), lipid oxidation (CPT1α), and lipid uptake (SREBP-1c) in mouse liver. (J) Akk improves hepatic lipid metabolism via PI3K/Akt pathway through α-ketoisovaleric acid. Data are expressed as mean ± SD (n = 6–8), ∗ p < 0.05, ∗∗ p < 0.01, compared with the Mod group, and p value was calculated using Dunnet’s post hoc test in one-way ANOVA. Scale bars: 1 cm.

Journal: iScience

Article Title: Akkermansia muciniphila ameliorates fatty liver through microbiota-derived α-ketoisovaleric acid metabolism and hepatic PI3K/Akt signaling

doi: 10.1016/j.isci.2025.112458

Figure Lengend Snippet: α-ketoisovaleric acid is the key metabolite in improving hepatic lipid metabolism via PI3K/Akt pathway in obese mice (A) Flowchart of α-ketoisovaleric acid compensation experiment. All mice, except for the Con group, were fed an HFHCD from week 1 to week 8. α-ketoisovaleric acid group was orally administered α-ketoisovaleric acid every day, while the Con and Mod groups were given saline. (B) Representative photographs of mouse livers from each group. (C–H) Western blot in the PI3K/Akt pathway in mouse liver: p-PI3K/PI3K, p -AMPK/AMPK, p -Akt/Akt, PPARγ/GAPDH, and SREBP-1c/GAPDH. (I) mRNA levels of genes related to lipogenesis (ACC1, FASN, and PPARγ), lipid oxidation (CPT1α), and lipid uptake (SREBP-1c) in mouse liver. (J) Akk improves hepatic lipid metabolism via PI3K/Akt pathway through α-ketoisovaleric acid. Data are expressed as mean ± SD (n = 6–8), ∗ p < 0.05, ∗∗ p < 0.01, compared with the Mod group, and p value was calculated using Dunnet’s post hoc test in one-way ANOVA. Scale bars: 1 cm.

Article Snippet: Raw data of Western Blot Data , This paper , Mendeley Data, https://doi.org/10.17632/3fzfd2npw8.1.

Techniques: Saline, Western Blot