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anti gpat3  (Proteintech)


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    Structured Review

    Proteintech anti gpat3
    Anti Gpat3, supplied by Proteintech, used in various techniques. Bioz Stars score: 96/100, based on 692 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/gpat3/PPAR+gamma+Polyclonal+antibody/pm41791621-130-35-37
    Average 96 stars, based on 692 article reviews
    anti gpat3 - by Bioz Stars, 2026-09
    96/100 stars

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    Related Articles

    other:

    Article Title: Progranulin deficiency induces lipid droplet accumulation in microglia via a STAT3-GPAT3 axis
    Article Snippet: Antibodies used in this experiment are: PGRN (R&D, AF2557, 1:1,000), LAMP1 (Abcam, ab208943, 1:1,000), GPAT3 (Proteintech, 20603-1-AP, 1:2,000), IBA1 (Wako, 019-19741, 1:2,000), GFAP (Cell Signaling Technology, 12389, 1:1,000).

    Western Blot:

    Article Title: Perturbation of arachidonic acid and glycerolipid metabolism promoted particulate matter-induced inflammatory responses in human bronchial epithelial cells.
    Article Snippet: After quantification using BCA Protein Assay kit (Beyotime), protein samples (30 μg) were separated with 10% SDS-PAGE gel electrophoresis and transferred to the PVDF membranes. .. Then, membranes were blocked with western blocking buffer (Beyotime) for 1 h at room temperature, and incubated with primary antibodies against AKR1C3 (Abcam, Cambridge, MA, USA, 1:1000 dilution), GPAT3 (Proteintech, Wuhan, China, 1:1000 dilution), or GAPDH (Beyotime, 1:1000 dilution) overnight at 4 °C. ..

    Blocking Assay:

    Article Title: Perturbation of arachidonic acid and glycerolipid metabolism promoted particulate matter-induced inflammatory responses in human bronchial epithelial cells.
    Article Snippet: After quantification using BCA Protein Assay kit (Beyotime), protein samples (30 μg) were separated with 10% SDS-PAGE gel electrophoresis and transferred to the PVDF membranes. .. Then, membranes were blocked with western blocking buffer (Beyotime) for 1 h at room temperature, and incubated with primary antibodies against AKR1C3 (Abcam, Cambridge, MA, USA, 1:1000 dilution), GPAT3 (Proteintech, Wuhan, China, 1:1000 dilution), or GAPDH (Beyotime, 1:1000 dilution) overnight at 4 °C. ..

    Incubation:

    Article Title: Perturbation of arachidonic acid and glycerolipid metabolism promoted particulate matter-induced inflammatory responses in human bronchial epithelial cells.
    Article Snippet: After quantification using BCA Protein Assay kit (Beyotime), protein samples (30 μg) were separated with 10% SDS-PAGE gel electrophoresis and transferred to the PVDF membranes. .. Then, membranes were blocked with western blocking buffer (Beyotime) for 1 h at room temperature, and incubated with primary antibodies against AKR1C3 (Abcam, Cambridge, MA, USA, 1:1000 dilution), GPAT3 (Proteintech, Wuhan, China, 1:1000 dilution), or GAPDH (Beyotime, 1:1000 dilution) overnight at 4 °C. ..

    FLAG-tag:

    Article Title: Progranulin deficiency induces lipid droplet accumulation in microglia via a STAT3-GPAT3 axis
    Article Snippet: Protein bands were visualized and quantified using the TIANGEN Imaging System. .. Antibodies used in this study are: PGRN (R&D, AF2557, 1:1,000), LAMP1 (Abcam, ab208943, 1:1,000), GPAT3 (Proteintech, 20603-1-AP, 1:2,000), PLIN2 (Abclonal, A24464, 1:1,000), PLIN3 (Abclonal, A1050, 1:1,000), pSTAT3(Ser727) (Proteintech, 60479-1-Ig, 1:1,000), pSTAT3(Tyr705) (Beyotime, AF5941, 1:1,000), FLAG tag (Abclonal, AE005, 1:1,000), β-tubulin (Abmart, M20005), β-actin (Proteintech, 66009-1-Ig), GAPDH (Millipore, MAB374), HRP-conjugated Goat Anti-Rabbit IgG (H+L) (Proteintech, SA00001-2, 1:5,000), HRP-conjugated Goat Anti-Mouse IgG (H+L) (Proteintech, SA00001-1, 1:50,000). ..

    Pyrolysis Gas Chromatography:

    Article Title: Integrated Metabolomics and Lipidomics Analysis Reveals the Mechanism Behind the Action of Chiglitazar on the Protection Against Sepsis-Induced Acute Lung Injury.
    Article Snippet: EX-527 was sourced from MedChemexpress (Monmouth Junction, NJ, USA; Cat. No. 49843-98-3). .. The following primary antibodies were utilized: PPARα (Abcam, Cambridge, UK; Cat. No. AB314112); SIRT1 (Cell Signaling Technology, Danvers, MA, USA; Cat. No. 9475); GPAT3 (Proteintech, Wuhan, China; 20603-1-AP); PGC-1α (ZEN-BIO, Chengdu, China; Cat. No. 381615); and β-actin (Affinity, Changzhou, China; Cat. No. AF7018). .. Horseradish peroxidase (HRP)-conjugated goat anti-rabbit/mouse secondary antibodies were purchased from Elabscience (Wuhan, China; Cat. No. E-AB-1003).

    Article Title: Integrated Metabolomics and Lipidomics Analysis Reveals the Mechanism Behind the Action of Chiglitazar on the Protection Against Sepsis-Induced Acute Lung Injury
    Article Snippet: EX-527 was sourced from MedChemexpress (Monmouth Junction, NJ, USA; Cat. No. 49843-98-3). .. The following primary antibodies were utilized: PPARα (Abcam, Cambridge, UK; Cat. No. AB314112 ); SIRT1 (Cell Signaling Technology, Danvers, MA, USA; Cat. No. 9475); GPAT3 (Proteintech, Wuhan, China; 20603-1-AP); PGC-1α (ZEN-BIO, Chengdu, China; Cat. No. 381615); and β-actin (Affinity, Changzhou, China; Cat. No. AF7018). .. Horseradish peroxidase (HRP)-conjugated goat anti-rabbit/mouse secondary antibodies were purchased from Elabscience (Wuhan, China; Cat. No. E-AB-1003).



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    a. Volcano plot of differentially expressed genes in Grn -/- BV2 microglial cells. b. GO enrichment analysis of differentially expressed genes (DEGs) from RNA-seq in Grn -/- BV2 microglia. c. Analysis of <t>GPAT3</t> mRNA levels in Grn -/- BV2 microglial cells (n=3). d. Western blot analysis of GPAT3 and statistical results of gray value quantification in WT and Grn -/- BV2 microglial cells (n=3). e. Analysis of Gpat3 mRNA levels Grn -/- mouse brains at different ages (n=3). f. Representative GPAT3 fluorescence in thalamus of Grn -/- mice at different ages and fluorescence quantification of GPAT3 (n=3). Scale bar, 20 μm. g. Representative BODIPY staining of GPAT3-overexpressing BV2 microglial cells and fluorescence quantification of BODIPY(n=3). Scale bar, 20 μm. h. Representative BODIPY staining of Grn -/- BV2 cells treated with Gpat3 siRNA or scramble siRNA negative control (NC) and fluorescence quantification of BODIPY signals (n=3). Scale bar, 20 μm. i. Representative BODIPY staining of Grn -/- BV2 cells treated with FSG67 or DMSO and fluorescence quantification of BODIPY signals (n=3). Scale bar, 20 μm. j. Western blot analysis of FLAG-tagged PGRN protein in Grn -/- BV2 microglial cells after Grn restoration. k. Analysis of Grn mRNA levels in Grn -/- BV2 microglial cells after Grn restoration (n=6). l-m. Representative GPAT3 fluorescence and BODIPY staining of Grn -/- BV2 microglial cells following PGRN restoration. Scale bar, 20 μm.
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    a. Volcano plot of differentially expressed genes in Grn -/- BV2 microglial cells. b. GO enrichment analysis of differentially expressed genes (DEGs) from RNA-seq in Grn -/- BV2 microglia. c. Analysis of <t>GPAT3</t> mRNA levels in Grn -/- BV2 microglial cells (n=3). d. Western blot analysis of GPAT3 and statistical results of gray value quantification in WT and Grn -/- BV2 microglial cells (n=3). e. Analysis of Gpat3 mRNA levels Grn -/- mouse brains at different ages (n=3). f. Representative GPAT3 fluorescence in thalamus of Grn -/- mice at different ages and fluorescence quantification of GPAT3 (n=3). Scale bar, 20 μm. g. Representative BODIPY staining of GPAT3-overexpressing BV2 microglial cells and fluorescence quantification of BODIPY(n=3). Scale bar, 20 μm. h. Representative BODIPY staining of Grn -/- BV2 cells treated with Gpat3 siRNA or scramble siRNA negative control (NC) and fluorescence quantification of BODIPY signals (n=3). Scale bar, 20 μm. i. Representative BODIPY staining of Grn -/- BV2 cells treated with FSG67 or DMSO and fluorescence quantification of BODIPY signals (n=3). Scale bar, 20 μm. j. Western blot analysis of FLAG-tagged PGRN protein in Grn -/- BV2 microglial cells after Grn restoration. k. Analysis of Grn mRNA levels in Grn -/- BV2 microglial cells after Grn restoration (n=6). l-m. Representative GPAT3 fluorescence and BODIPY staining of Grn -/- BV2 microglial cells following PGRN restoration. Scale bar, 20 μm.
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    a. Volcano plot of differentially expressed genes in Grn -/- BV2 microglial cells. b. GO enrichment analysis of differentially expressed genes (DEGs) from RNA-seq in Grn -/- BV2 microglia. c. Analysis of <t>GPAT3</t> mRNA levels in Grn -/- BV2 microglial cells (n=3). d. Western blot analysis of GPAT3 and statistical results of gray value quantification in WT and Grn -/- BV2 microglial cells (n=3). e. Analysis of Gpat3 mRNA levels Grn -/- mouse brains at different ages (n=3). f. Representative GPAT3 fluorescence in thalamus of Grn -/- mice at different ages and fluorescence quantification of GPAT3 (n=3). Scale bar, 20 μm. g. Representative BODIPY staining of GPAT3-overexpressing BV2 microglial cells and fluorescence quantification of BODIPY(n=3). Scale bar, 20 μm. h. Representative BODIPY staining of Grn -/- BV2 cells treated with Gpat3 siRNA or scramble siRNA negative control (NC) and fluorescence quantification of BODIPY signals (n=3). Scale bar, 20 μm. i. Representative BODIPY staining of Grn -/- BV2 cells treated with FSG67 or DMSO and fluorescence quantification of BODIPY signals (n=3). Scale bar, 20 μm. j. Western blot analysis of FLAG-tagged PGRN protein in Grn -/- BV2 microglial cells after Grn restoration. k. Analysis of Grn mRNA levels in Grn -/- BV2 microglial cells after Grn restoration (n=6). l-m. Representative GPAT3 fluorescence and BODIPY staining of Grn -/- BV2 microglial cells following PGRN restoration. Scale bar, 20 μm.
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    CH Instruments protein levels of sirt1 and gpat3
    a. Volcano plot of differentially expressed genes in Grn -/- BV2 microglial cells. b. GO enrichment analysis of differentially expressed genes (DEGs) from RNA-seq in Grn -/- BV2 microglia. c. Analysis of <t>GPAT3</t> mRNA levels in Grn -/- BV2 microglial cells (n=3). d. Western blot analysis of GPAT3 and statistical results of gray value quantification in WT and Grn -/- BV2 microglial cells (n=3). e. Analysis of Gpat3 mRNA levels Grn -/- mouse brains at different ages (n=3). f. Representative GPAT3 fluorescence in thalamus of Grn -/- mice at different ages and fluorescence quantification of GPAT3 (n=3). Scale bar, 20 μm. g. Representative BODIPY staining of GPAT3-overexpressing BV2 microglial cells and fluorescence quantification of BODIPY(n=3). Scale bar, 20 μm. h. Representative BODIPY staining of Grn -/- BV2 cells treated with Gpat3 siRNA or scramble siRNA negative control (NC) and fluorescence quantification of BODIPY signals (n=3). Scale bar, 20 μm. i. Representative BODIPY staining of Grn -/- BV2 cells treated with FSG67 or DMSO and fluorescence quantification of BODIPY signals (n=3). Scale bar, 20 μm. j. Western blot analysis of FLAG-tagged PGRN protein in Grn -/- BV2 microglial cells after Grn restoration. k. Analysis of Grn mRNA levels in Grn -/- BV2 microglial cells after Grn restoration (n=6). l-m. Representative GPAT3 fluorescence and BODIPY staining of Grn -/- BV2 microglial cells following PGRN restoration. Scale bar, 20 μm.
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    Chiglitazar–mediated lung protection was associated with upregulated <t>SIRT1/PGC−1α/PPARα/GPAT3</t> signaling pathway in rats. ( A , B ) Relative quantification of nicotinamide (NAM) and the ratio NAD+/NAM in rat lung tissue. ( C , D ) Relative expression of Sirt1 and Gpat3 mRNAs in rat lung tissues. ( E , F ) SIRT1, GPAT3, PGC−1α, and PPARα protein expression in rat lung tissues. ( G − J ) Quantification of the relative expression levels of SIRT1, GPAT3, PGC−1α, and PPARα proteins. Data represent mean ± SEM ( n = 3). * p < 0.05; ** p < 0.01; *** p < 0.001; ns indicates no significant differences between groups.
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    Image Search Results


    a. Volcano plot of differentially expressed genes in Grn -/- BV2 microglial cells. b. GO enrichment analysis of differentially expressed genes (DEGs) from RNA-seq in Grn -/- BV2 microglia. c. Analysis of GPAT3 mRNA levels in Grn -/- BV2 microglial cells (n=3). d. Western blot analysis of GPAT3 and statistical results of gray value quantification in WT and Grn -/- BV2 microglial cells (n=3). e. Analysis of Gpat3 mRNA levels Grn -/- mouse brains at different ages (n=3). f. Representative GPAT3 fluorescence in thalamus of Grn -/- mice at different ages and fluorescence quantification of GPAT3 (n=3). Scale bar, 20 μm. g. Representative BODIPY staining of GPAT3-overexpressing BV2 microglial cells and fluorescence quantification of BODIPY(n=3). Scale bar, 20 μm. h. Representative BODIPY staining of Grn -/- BV2 cells treated with Gpat3 siRNA or scramble siRNA negative control (NC) and fluorescence quantification of BODIPY signals (n=3). Scale bar, 20 μm. i. Representative BODIPY staining of Grn -/- BV2 cells treated with FSG67 or DMSO and fluorescence quantification of BODIPY signals (n=3). Scale bar, 20 μm. j. Western blot analysis of FLAG-tagged PGRN protein in Grn -/- BV2 microglial cells after Grn restoration. k. Analysis of Grn mRNA levels in Grn -/- BV2 microglial cells after Grn restoration (n=6). l-m. Representative GPAT3 fluorescence and BODIPY staining of Grn -/- BV2 microglial cells following PGRN restoration. Scale bar, 20 μm.

    Journal: bioRxiv

    Article Title: Progranulin deficiency induces lipid droplet accumulation in microglia via a STAT3-GPAT3 axis

    doi: 10.64898/2026.01.17.700052

    Figure Lengend Snippet: a. Volcano plot of differentially expressed genes in Grn -/- BV2 microglial cells. b. GO enrichment analysis of differentially expressed genes (DEGs) from RNA-seq in Grn -/- BV2 microglia. c. Analysis of GPAT3 mRNA levels in Grn -/- BV2 microglial cells (n=3). d. Western blot analysis of GPAT3 and statistical results of gray value quantification in WT and Grn -/- BV2 microglial cells (n=3). e. Analysis of Gpat3 mRNA levels Grn -/- mouse brains at different ages (n=3). f. Representative GPAT3 fluorescence in thalamus of Grn -/- mice at different ages and fluorescence quantification of GPAT3 (n=3). Scale bar, 20 μm. g. Representative BODIPY staining of GPAT3-overexpressing BV2 microglial cells and fluorescence quantification of BODIPY(n=3). Scale bar, 20 μm. h. Representative BODIPY staining of Grn -/- BV2 cells treated with Gpat3 siRNA or scramble siRNA negative control (NC) and fluorescence quantification of BODIPY signals (n=3). Scale bar, 20 μm. i. Representative BODIPY staining of Grn -/- BV2 cells treated with FSG67 or DMSO and fluorescence quantification of BODIPY signals (n=3). Scale bar, 20 μm. j. Western blot analysis of FLAG-tagged PGRN protein in Grn -/- BV2 microglial cells after Grn restoration. k. Analysis of Grn mRNA levels in Grn -/- BV2 microglial cells after Grn restoration (n=6). l-m. Representative GPAT3 fluorescence and BODIPY staining of Grn -/- BV2 microglial cells following PGRN restoration. Scale bar, 20 μm.

    Article Snippet: Antibodies used in this study are: PGRN (R&D, AF2557, 1:1,000), LAMP1 (Abcam, ab208943, 1:1,000), GPAT3 (Proteintech, 20603-1-AP, 1:2,000), PLIN2 (Abclonal, A24464, 1:1,000), PLIN3 (Abclonal, A1050, 1:1,000), pSTAT3(Ser727) (Proteintech, 60479-1-Ig, 1:1,000), pSTAT3(Tyr705) (Beyotime, AF5941, 1:1,000), FLAG tag (Abclonal, AE005, 1:1,000), β-tubulin (Abmart, M20005), β-actin (Proteintech, 66009-1-Ig), GAPDH (Millipore, MAB374), HRP-conjugated Goat Anti-Rabbit IgG (H+L) (Proteintech, SA00001-2, 1:5,000), HRP-conjugated Goat Anti-Mouse IgG (H+L) (Proteintech, SA00001-1, 1:50,000).

    Techniques: RNA Sequencing, Western Blot, Fluorescence, Staining, Negative Control

    a. Venn diagram showing the overlapping of DEGs in four sets of transcriptomic comparison: WT vs. KO2 (Qiantang platform, 1844 DEGs), WT vs. KO2 (Novogene platform, 6770 DEGs), WT vs. KO8 (Qiantang platform, 2127 DEGs), and WT vs. KO8 (Novogene platform, 6042 DEGs). The unique and common DEGs among these comparisons are displayed. Gpat3 is found in the intersection of the four groups. b. Four paired Venn diagrams illustrating the overlap of each individual dataset from with the previously established LD signature genes. The left circle corresponds to the DEG set from , and the right circle corresponds to the list of LD-related marker genes. The overlapping sections highlight shared genes between the DEGs in Grn -/- BV2 microglial cells and the established LD-related genes.

    Journal: bioRxiv

    Article Title: Progranulin deficiency induces lipid droplet accumulation in microglia via a STAT3-GPAT3 axis

    doi: 10.64898/2026.01.17.700052

    Figure Lengend Snippet: a. Venn diagram showing the overlapping of DEGs in four sets of transcriptomic comparison: WT vs. KO2 (Qiantang platform, 1844 DEGs), WT vs. KO2 (Novogene platform, 6770 DEGs), WT vs. KO8 (Qiantang platform, 2127 DEGs), and WT vs. KO8 (Novogene platform, 6042 DEGs). The unique and common DEGs among these comparisons are displayed. Gpat3 is found in the intersection of the four groups. b. Four paired Venn diagrams illustrating the overlap of each individual dataset from with the previously established LD signature genes. The left circle corresponds to the DEG set from , and the right circle corresponds to the list of LD-related marker genes. The overlapping sections highlight shared genes between the DEGs in Grn -/- BV2 microglial cells and the established LD-related genes.

    Article Snippet: Antibodies used in this study are: PGRN (R&D, AF2557, 1:1,000), LAMP1 (Abcam, ab208943, 1:1,000), GPAT3 (Proteintech, 20603-1-AP, 1:2,000), PLIN2 (Abclonal, A24464, 1:1,000), PLIN3 (Abclonal, A1050, 1:1,000), pSTAT3(Ser727) (Proteintech, 60479-1-Ig, 1:1,000), pSTAT3(Tyr705) (Beyotime, AF5941, 1:1,000), FLAG tag (Abclonal, AE005, 1:1,000), β-tubulin (Abmart, M20005), β-actin (Proteintech, 66009-1-Ig), GAPDH (Millipore, MAB374), HRP-conjugated Goat Anti-Rabbit IgG (H+L) (Proteintech, SA00001-2, 1:5,000), HRP-conjugated Goat Anti-Mouse IgG (H+L) (Proteintech, SA00001-1, 1:50,000).

    Techniques: Comparison, Marker

    a. Analysis of Gpat3 mRNA levels in Grn -/- BV2 microglial cells and Grn -/- BV2 cells treated with Gpat3 siRNA1/2/3 (n=3). b. Western blot analysis of GPAT3 in control Grn -/- BV2 cells and Gpat3 siRNA1-treated Grn -/- BV2 cells (n=3). c. Representative PGRN fluorescence a of Grn -/- BV2 microglial cells and Grn -/- Grn OE BV2 cells. Scale bar, 20 μm. d. Analysis of Plin2 and Plin3 mRNA levels in Grn -/- BV2 microglial cells and Grn -/- Grn OE BV2 cells (n=3). e. Analysis of enzymes for triglyceride degradation mRNA levels in Grn -/- BV2 microglial cells and Grn -/- Grn OE BV2 cells (n=3).

    Journal: bioRxiv

    Article Title: Progranulin deficiency induces lipid droplet accumulation in microglia via a STAT3-GPAT3 axis

    doi: 10.64898/2026.01.17.700052

    Figure Lengend Snippet: a. Analysis of Gpat3 mRNA levels in Grn -/- BV2 microglial cells and Grn -/- BV2 cells treated with Gpat3 siRNA1/2/3 (n=3). b. Western blot analysis of GPAT3 in control Grn -/- BV2 cells and Gpat3 siRNA1-treated Grn -/- BV2 cells (n=3). c. Representative PGRN fluorescence a of Grn -/- BV2 microglial cells and Grn -/- Grn OE BV2 cells. Scale bar, 20 μm. d. Analysis of Plin2 and Plin3 mRNA levels in Grn -/- BV2 microglial cells and Grn -/- Grn OE BV2 cells (n=3). e. Analysis of enzymes for triglyceride degradation mRNA levels in Grn -/- BV2 microglial cells and Grn -/- Grn OE BV2 cells (n=3).

    Article Snippet: Antibodies used in this study are: PGRN (R&D, AF2557, 1:1,000), LAMP1 (Abcam, ab208943, 1:1,000), GPAT3 (Proteintech, 20603-1-AP, 1:2,000), PLIN2 (Abclonal, A24464, 1:1,000), PLIN3 (Abclonal, A1050, 1:1,000), pSTAT3(Ser727) (Proteintech, 60479-1-Ig, 1:1,000), pSTAT3(Tyr705) (Beyotime, AF5941, 1:1,000), FLAG tag (Abclonal, AE005, 1:1,000), β-tubulin (Abmart, M20005), β-actin (Proteintech, 66009-1-Ig), GAPDH (Millipore, MAB374), HRP-conjugated Goat Anti-Rabbit IgG (H+L) (Proteintech, SA00001-2, 1:5,000), HRP-conjugated Goat Anti-Mouse IgG (H+L) (Proteintech, SA00001-1, 1:50,000).

    Techniques: Western Blot, Control, Fluorescence

    a. Gene se enrichment analysis (GSEA) of IL-6 signaling in Grn -/- BV2 microglial cells. b. Analysis of IL-6 mRNA levels in Grn -/- BV2 microglial cells and Grn -restored Grn -/- BV 2 microglial cells (n=6). c. Analysis of IL-6 mRNA levels in Grn -/- mouse brains at different ages (n=3). d. Western blot analysis of p-STAT3(tyr705) and statistical results of gray value quantification. in Grn -/- BV2 microglial cells and Grn -restored Grn -/- BV2 microglial cells (n=4). e. Western blot analysis of p-STAT3(tyr705) and p-STAT3(ser727) and statistical results of gray value quantification 9-month-old Grn -/- mice (n=4). f. Western blot analysis of p-STAT3(tyr705) p-STAT3(ser727) and statistical results of gray value quantification in Grn -/- BV2 microglial cells and Grn -/- BV2 microglial cells treated with Stattic (n=3). g. Analysis of GPAT3 mRNA levels in Grn -/- BV2 microglial cells and Grn -/- BV2 microglial cells treated with Stattic (n=6). h. Western blot analysis of GPAT3 and statistical results of gray value quantification in Grn -/- BV2 microglial cells and Grn -/- BV2 microglial cells treated with Stattic (n=3). i. Representative BODIPY staining of Grn -/- BV2 microglial cells and Grn -/- BV2 microglial cells treated with Stattic and fluorescence quantification of BODIPY (n=3). Scale bar, 20 μm.

    Journal: bioRxiv

    Article Title: Progranulin deficiency induces lipid droplet accumulation in microglia via a STAT3-GPAT3 axis

    doi: 10.64898/2026.01.17.700052

    Figure Lengend Snippet: a. Gene se enrichment analysis (GSEA) of IL-6 signaling in Grn -/- BV2 microglial cells. b. Analysis of IL-6 mRNA levels in Grn -/- BV2 microglial cells and Grn -restored Grn -/- BV 2 microglial cells (n=6). c. Analysis of IL-6 mRNA levels in Grn -/- mouse brains at different ages (n=3). d. Western blot analysis of p-STAT3(tyr705) and statistical results of gray value quantification. in Grn -/- BV2 microglial cells and Grn -restored Grn -/- BV2 microglial cells (n=4). e. Western blot analysis of p-STAT3(tyr705) and p-STAT3(ser727) and statistical results of gray value quantification 9-month-old Grn -/- mice (n=4). f. Western blot analysis of p-STAT3(tyr705) p-STAT3(ser727) and statistical results of gray value quantification in Grn -/- BV2 microglial cells and Grn -/- BV2 microglial cells treated with Stattic (n=3). g. Analysis of GPAT3 mRNA levels in Grn -/- BV2 microglial cells and Grn -/- BV2 microglial cells treated with Stattic (n=6). h. Western blot analysis of GPAT3 and statistical results of gray value quantification in Grn -/- BV2 microglial cells and Grn -/- BV2 microglial cells treated with Stattic (n=3). i. Representative BODIPY staining of Grn -/- BV2 microglial cells and Grn -/- BV2 microglial cells treated with Stattic and fluorescence quantification of BODIPY (n=3). Scale bar, 20 μm.

    Article Snippet: Antibodies used in this study are: PGRN (R&D, AF2557, 1:1,000), LAMP1 (Abcam, ab208943, 1:1,000), GPAT3 (Proteintech, 20603-1-AP, 1:2,000), PLIN2 (Abclonal, A24464, 1:1,000), PLIN3 (Abclonal, A1050, 1:1,000), pSTAT3(Ser727) (Proteintech, 60479-1-Ig, 1:1,000), pSTAT3(Tyr705) (Beyotime, AF5941, 1:1,000), FLAG tag (Abclonal, AE005, 1:1,000), β-tubulin (Abmart, M20005), β-actin (Proteintech, 66009-1-Ig), GAPDH (Millipore, MAB374), HRP-conjugated Goat Anti-Rabbit IgG (H+L) (Proteintech, SA00001-2, 1:5,000), HRP-conjugated Goat Anti-Mouse IgG (H+L) (Proteintech, SA00001-1, 1:50,000).

    Techniques: Western Blot, Staining, Fluorescence

    a. Cell viability assay of mouse neuronal N2a cells treated with conditioned media from either BV 2 microglia cells or Grn -/- BV2 microglial cells (n = 5). b. Quantitative analysis of intracellular lactate dehydrogenase (LDH) levels in N2a cells treated as in (A) (n = 5). c. Reactive oxygen species (ROS) levels in N2a cells treated as in (A) (n = 5). d. Cell viability assay of mouse neuronal N2a cells treated with conditioned media from either Grn -/- microglial cells or Grn -rescued Grn -/- microglia (n = 5). e. Intracellular reactive oxygen species (ROS) levels in mouse neurons treated as in (D) (n = 5). f. N2a cell viability after treatment with conditioned media from either Grn -/- microglial cells or siRNA- Gpat3 treated Grn -/- microglial cells (n = 4). g. N2a cell viability after treatment with conditioned media from either Grn -/- microglial cells or FSG67-treated Grn -/- microglial cells (n = 3).

    Journal: bioRxiv

    Article Title: Progranulin deficiency induces lipid droplet accumulation in microglia via a STAT3-GPAT3 axis

    doi: 10.64898/2026.01.17.700052

    Figure Lengend Snippet: a. Cell viability assay of mouse neuronal N2a cells treated with conditioned media from either BV 2 microglia cells or Grn -/- BV2 microglial cells (n = 5). b. Quantitative analysis of intracellular lactate dehydrogenase (LDH) levels in N2a cells treated as in (A) (n = 5). c. Reactive oxygen species (ROS) levels in N2a cells treated as in (A) (n = 5). d. Cell viability assay of mouse neuronal N2a cells treated with conditioned media from either Grn -/- microglial cells or Grn -rescued Grn -/- microglia (n = 5). e. Intracellular reactive oxygen species (ROS) levels in mouse neurons treated as in (D) (n = 5). f. N2a cell viability after treatment with conditioned media from either Grn -/- microglial cells or siRNA- Gpat3 treated Grn -/- microglial cells (n = 4). g. N2a cell viability after treatment with conditioned media from either Grn -/- microglial cells or FSG67-treated Grn -/- microglial cells (n = 3).

    Article Snippet: Antibodies used in this study are: PGRN (R&D, AF2557, 1:1,000), LAMP1 (Abcam, ab208943, 1:1,000), GPAT3 (Proteintech, 20603-1-AP, 1:2,000), PLIN2 (Abclonal, A24464, 1:1,000), PLIN3 (Abclonal, A1050, 1:1,000), pSTAT3(Ser727) (Proteintech, 60479-1-Ig, 1:1,000), pSTAT3(Tyr705) (Beyotime, AF5941, 1:1,000), FLAG tag (Abclonal, AE005, 1:1,000), β-tubulin (Abmart, M20005), β-actin (Proteintech, 66009-1-Ig), GAPDH (Millipore, MAB374), HRP-conjugated Goat Anti-Rabbit IgG (H+L) (Proteintech, SA00001-2, 1:5,000), HRP-conjugated Goat Anti-Mouse IgG (H+L) (Proteintech, SA00001-1, 1:50,000).

    Techniques: Viability Assay

    a. Representative GPAT3 fluorescence in thalamus of Grn -/- mice injected with AAV-CTRL or AAV- Grn and fluorescence quantification of GPAT3 signals (n = 3). Scale bar, 20 μm. b. Representative LipidSpot staining in thalamus of Grn -/- mice injected with AAV-CTRL or AAV- Grn and fluorescence quantification of LipidSpot (n = 3). Scale bar, 20 μm. c. Representative IBA1 fluorescence in thalamus of Grn -/- mice injected with AAV-CTRL or AAV- Grn and fluorescence quantification of IBA1 signals (n = 3). Scale bar, 20 μm. d. Representative GFAP fluorescence in thalamus of Grn -/- mice injected with AAV-CTRL or AAV- Grn and fluorescence quantification of GFAP signals (n = 3). Scale bar, 20 μm. e. Representative BODIPY and IBA1 fluorescence staining in thalamus of Grn -/- mice treated with FSG67 or vehicle and fluorescence quantification of BODIPY in IBA + cells (n = 3). Scale bar, 20 μm. f. Recognition working memory assessed by the novel object recognition test in WT and Grn -/- mice treated with FSG67 or vehicle (n = 5 for each group). g. Anxiety behavior assessed by the light-dark transition test in WT and Grn -/- mice treated with FSG67 or vehicle (n = 5 for each group). h. Anxiety behavior assessed by the open field test in WT and Grn -/- mice treated with FSG67 or vehicle (n = 5 for each group). i. Representative open-field trajectory heatmaps for the groups in (SuperMaze software). j. Recognition working memory assessed by the novel object recognition test in Grn -/- mice injected with AAV-CTRL or AAV- Grn (n = 7 for each group). k. Anxiety behavior assessed by the light-dark transition test in Grn -/- mice injected with AAV-CTRL or AAV- Grn (n = 7 for each group). l. Anxiety behavior assessed by the open field test in Grn -/- mice injected with AAV-CTRL or AAV- Grn (n = 7 for each group). m. Representative open-field trajectory heatmaps for the groups in (AnyMaze software).

    Journal: bioRxiv

    Article Title: Progranulin deficiency induces lipid droplet accumulation in microglia via a STAT3-GPAT3 axis

    doi: 10.64898/2026.01.17.700052

    Figure Lengend Snippet: a. Representative GPAT3 fluorescence in thalamus of Grn -/- mice injected with AAV-CTRL or AAV- Grn and fluorescence quantification of GPAT3 signals (n = 3). Scale bar, 20 μm. b. Representative LipidSpot staining in thalamus of Grn -/- mice injected with AAV-CTRL or AAV- Grn and fluorescence quantification of LipidSpot (n = 3). Scale bar, 20 μm. c. Representative IBA1 fluorescence in thalamus of Grn -/- mice injected with AAV-CTRL or AAV- Grn and fluorescence quantification of IBA1 signals (n = 3). Scale bar, 20 μm. d. Representative GFAP fluorescence in thalamus of Grn -/- mice injected with AAV-CTRL or AAV- Grn and fluorescence quantification of GFAP signals (n = 3). Scale bar, 20 μm. e. Representative BODIPY and IBA1 fluorescence staining in thalamus of Grn -/- mice treated with FSG67 or vehicle and fluorescence quantification of BODIPY in IBA + cells (n = 3). Scale bar, 20 μm. f. Recognition working memory assessed by the novel object recognition test in WT and Grn -/- mice treated with FSG67 or vehicle (n = 5 for each group). g. Anxiety behavior assessed by the light-dark transition test in WT and Grn -/- mice treated with FSG67 or vehicle (n = 5 for each group). h. Anxiety behavior assessed by the open field test in WT and Grn -/- mice treated with FSG67 or vehicle (n = 5 for each group). i. Representative open-field trajectory heatmaps for the groups in (SuperMaze software). j. Recognition working memory assessed by the novel object recognition test in Grn -/- mice injected with AAV-CTRL or AAV- Grn (n = 7 for each group). k. Anxiety behavior assessed by the light-dark transition test in Grn -/- mice injected with AAV-CTRL or AAV- Grn (n = 7 for each group). l. Anxiety behavior assessed by the open field test in Grn -/- mice injected with AAV-CTRL or AAV- Grn (n = 7 for each group). m. Representative open-field trajectory heatmaps for the groups in (AnyMaze software).

    Article Snippet: Antibodies used in this study are: PGRN (R&D, AF2557, 1:1,000), LAMP1 (Abcam, ab208943, 1:1,000), GPAT3 (Proteintech, 20603-1-AP, 1:2,000), PLIN2 (Abclonal, A24464, 1:1,000), PLIN3 (Abclonal, A1050, 1:1,000), pSTAT3(Ser727) (Proteintech, 60479-1-Ig, 1:1,000), pSTAT3(Tyr705) (Beyotime, AF5941, 1:1,000), FLAG tag (Abclonal, AE005, 1:1,000), β-tubulin (Abmart, M20005), β-actin (Proteintech, 66009-1-Ig), GAPDH (Millipore, MAB374), HRP-conjugated Goat Anti-Rabbit IgG (H+L) (Proteintech, SA00001-2, 1:5,000), HRP-conjugated Goat Anti-Mouse IgG (H+L) (Proteintech, SA00001-1, 1:50,000).

    Techniques: Fluorescence, Injection, Staining, Software

    Chiglitazar–mediated lung protection was associated with upregulated SIRT1/PGC−1α/PPARα/GPAT3 signaling pathway in rats. ( A , B ) Relative quantification of nicotinamide (NAM) and the ratio NAD+/NAM in rat lung tissue. ( C , D ) Relative expression of Sirt1 and Gpat3 mRNAs in rat lung tissues. ( E , F ) SIRT1, GPAT3, PGC−1α, and PPARα protein expression in rat lung tissues. ( G − J ) Quantification of the relative expression levels of SIRT1, GPAT3, PGC−1α, and PPARα proteins. Data represent mean ± SEM ( n = 3). * p < 0.05; ** p < 0.01; *** p < 0.001; ns indicates no significant differences between groups.

    Journal: Metabolites

    Article Title: Integrated Metabolomics and Lipidomics Analysis Reveals the Mechanism Behind the Action of Chiglitazar on the Protection Against Sepsis-Induced Acute Lung Injury

    doi: 10.3390/metabo15050290

    Figure Lengend Snippet: Chiglitazar–mediated lung protection was associated with upregulated SIRT1/PGC−1α/PPARα/GPAT3 signaling pathway in rats. ( A , B ) Relative quantification of nicotinamide (NAM) and the ratio NAD+/NAM in rat lung tissue. ( C , D ) Relative expression of Sirt1 and Gpat3 mRNAs in rat lung tissues. ( E , F ) SIRT1, GPAT3, PGC−1α, and PPARα protein expression in rat lung tissues. ( G − J ) Quantification of the relative expression levels of SIRT1, GPAT3, PGC−1α, and PPARα proteins. Data represent mean ± SEM ( n = 3). * p < 0.05; ** p < 0.01; *** p < 0.001; ns indicates no significant differences between groups.

    Article Snippet: Western blot analysis ( H–L) revealed significant increases in the protein levels of SIRT1, PGC-1α, PPARα, and GPAT3 in the CLP+Chi 10 group compared to the CLP group.

    Techniques: Quantitative Proteomics, Expressing

    SIRT1 inhibitor EX–527 reversed the upregulation of the PGC–1α/PPARα/GPAT3 signaling by chiglitazar in LPS–stimulated BEAS-2B Cells. ( A ) SIRT1, PGC-1α, PPARα, and GPAT3 protein expressions in BEAS-2B cells. ( B – E ) Quantification of the relative expression levels of SIRT1, PGC-1α, PPARα, and GPAT3 proteins. Data represent mean ± SEM ( n = 3). # p < 0.05, ## p < 0.01, ### p < 0.001 vs. control group; * p < 0.05, ** p < 0.01 vs. LPS group; & p < 0.05, && p < 0.01 vs. LPS+Chi32 group.

    Journal: Metabolites

    Article Title: Integrated Metabolomics and Lipidomics Analysis Reveals the Mechanism Behind the Action of Chiglitazar on the Protection Against Sepsis-Induced Acute Lung Injury

    doi: 10.3390/metabo15050290

    Figure Lengend Snippet: SIRT1 inhibitor EX–527 reversed the upregulation of the PGC–1α/PPARα/GPAT3 signaling by chiglitazar in LPS–stimulated BEAS-2B Cells. ( A ) SIRT1, PGC-1α, PPARα, and GPAT3 protein expressions in BEAS-2B cells. ( B – E ) Quantification of the relative expression levels of SIRT1, PGC-1α, PPARα, and GPAT3 proteins. Data represent mean ± SEM ( n = 3). # p < 0.05, ## p < 0.01, ### p < 0.001 vs. control group; * p < 0.05, ** p < 0.01 vs. LPS group; & p < 0.05, && p < 0.01 vs. LPS+Chi32 group.

    Article Snippet: Western blot analysis ( H–L) revealed significant increases in the protein levels of SIRT1, PGC-1α, PPARα, and GPAT3 in the CLP+Chi 10 group compared to the CLP group.

    Techniques: Expressing, Control

    The SIRT1 inhibitor EX-527 reversed the protective effect of chiglitazar on sepsis-induced lung injury. ( A ) Seventy-two-hour survival curve of rats. ( B ) Representative histological images of lung tissue from each group stained with H&E. ( C ) The W/D ratio of lung tissue for each group of rats. ( D ) Morphological inflammation scores for lung tissue. ( E ) Immunohistochemical images showing the expression of ZO-1 and Occludin in lung tissues. ( F , G ) Percentages of positive cell area for Occludin ( F ) and ZO-1 ( G ). ( H ) Representative images of SIRT1, PGC-1α, PPARα, and GPAT3 protein expression in lung tissues. ( I – L ) Quantification of the relative expression levels of SIRT1, PGC-1α, PPARα, and GPAT3 proteins. ( M ) Schematic illustration of the molecular mechanisms involved in the protective effects of chiglitazar on acute lung injury caused by sepsis-induced metabolic disorders. Data represent mean ± SEM ( n = 3). * p < 0.05; ** p < 0.01;. ## p < 0.01, ### p < 0.001 vs. Sham group; * p < 0.05, ** p < 0.01 vs. CLP group; & p < 0.05, && p < 0.01 vs. CLP+Chi10 group.

    Journal: Metabolites

    Article Title: Integrated Metabolomics and Lipidomics Analysis Reveals the Mechanism Behind the Action of Chiglitazar on the Protection Against Sepsis-Induced Acute Lung Injury

    doi: 10.3390/metabo15050290

    Figure Lengend Snippet: The SIRT1 inhibitor EX-527 reversed the protective effect of chiglitazar on sepsis-induced lung injury. ( A ) Seventy-two-hour survival curve of rats. ( B ) Representative histological images of lung tissue from each group stained with H&E. ( C ) The W/D ratio of lung tissue for each group of rats. ( D ) Morphological inflammation scores for lung tissue. ( E ) Immunohistochemical images showing the expression of ZO-1 and Occludin in lung tissues. ( F , G ) Percentages of positive cell area for Occludin ( F ) and ZO-1 ( G ). ( H ) Representative images of SIRT1, PGC-1α, PPARα, and GPAT3 protein expression in lung tissues. ( I – L ) Quantification of the relative expression levels of SIRT1, PGC-1α, PPARα, and GPAT3 proteins. ( M ) Schematic illustration of the molecular mechanisms involved in the protective effects of chiglitazar on acute lung injury caused by sepsis-induced metabolic disorders. Data represent mean ± SEM ( n = 3). * p < 0.05; ** p < 0.01;. ## p < 0.01, ### p < 0.001 vs. Sham group; * p < 0.05, ** p < 0.01 vs. CLP group; & p < 0.05, && p < 0.01 vs. CLP+Chi10 group.

    Article Snippet: Western blot analysis ( H–L) revealed significant increases in the protein levels of SIRT1, PGC-1α, PPARα, and GPAT3 in the CLP+Chi 10 group compared to the CLP group.

    Techniques: Staining, Immunohistochemical staining, Expressing