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Proteintech gnpat
Gnpat, supplied by Proteintech, used in various techniques. Bioz Stars score: 93/100, based on 16 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/anti+gnpat/GNPAT+Antibody/pm41807033-70-24-38
Average 93 stars, based on 16 article reviews
gnpat - by Bioz Stars, 2026-10
93/100 stars

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Related Articles

Western Blot:

Article Title: Ether phospholipids are required for mitochondrial reactive oxygen species homeostasis.
Article Snippet: Immunoblotting images were developed using a Pierce ECL western blotting substrate kit (VWR, PI32209). .. The following antibodies were used: anti-Cleaved Caspase 3 (Cell Signaling Technology, #9664L,1:1000 dilution), anti-Ki67 (Life Technologies, #MA514520,1:200 dilution), anti-SOD2/MnSOD (Abcam, #ab13533,1:2000 dilution), anti-GNPAT (Proteintech, #14931-1-AP, 1:1000 dilution), anti-AGPS (Sigma-Aldrich, #HPA030211, 1:1000 dilution), antiFAR1 (Novus Biologicals, #NBP1-89847, 1:1000 dilution), total OXPHOS human WB antibody cocktail (Abcam, #ab110411, 1:1000 dilution), antiATP5A (Abcam, #ab14748, 1:2000dilution), anti-vinculin (EMDMillipore, #05-386, clone V284, 1:3000 dilution). ..

other:

Article Title: Functional multi-organelle units control inflammatory lipid metabolism of macrophages.
Article Snippet: The following antibodies were used for immunofluorescence staining (IF), western blot (WB) or flow cytometry (FACS): anti-ABCD1 (WB 1:5,000; IF 1:500; Abcam, ab197013), anti-ACSL1 (IF 1:200, Proteintech, 13989-1-AP), anti-ATGL (WB 1:1,000; IF 1:200; Cell Signaling Technology, 2439), anti-β-actin-horseradish peroxidase (HRP) (WB 1:40,000; SantaCruz, sc-47778 HRP), anti-Calnexin (IF 1:250; Proteintech, 10427-2-AP), anti-Catalase (IF 1:300; FACS 1:100; R&D Systems, AF3398), anti-CD16/CD23 (FACS 1:1,000; Thermo Fisher, 14-0161-82), anti-CD107a (IF 1:200; BioLegend, 121601), anti-CD107a Alexa488-conjugated (FACS 1:200; BioLegend, 121607), anti-COX2 (IF 1:400; WB 1:1,000; Cell Signaling Technology, 12282), anti-cPLA2 (IF 1:250; WB 1:1,000; Cell Signaling Technology, 5249), anti-DRP1 (WB 1:1,000, IF 1:100; Cell Signaling Technology, 8570), anti-phospho-DRP1 (S616) (WB 1:1,000; Cell Signaling Technology, 3455), anti-phospho-DRP1 (S637) (WB 1:1,000; Cell Signaling Technology, 4867), anti-FAM73B (WB 1:1,000; Abcam, ab122713), anti-GM130 (IF 1:300; FACS 1:500; BD Bioscience, 610823), anti-GNPAT (WB 1:1,000; Proteintech, 14931-1-AP), anti-HSD17B4 (WB 1:1,000; Novus Biologicals, NBP1-85296), anti-HSP60 (IF 1:1,000; FACS 1:500; Cell Signaling Technology, 12165), anti-HSP60 (IF 1:1,000, antibodies.com, A85438), anti-MFN2 (WB 1:1,000; Abcam, ab124773), anti-mPGES1 (IF 1:500; WB 1:1,000; Abcam, ab180589), anti-OPA1 (WB 1:1,000; Thermo Fisher, MA5-16149), anti-PEX5 (WB 1:5,000; Novus Biologicals, NBP1-87185), anti-RMDN3 (WB 1:200; Thermo Fisher, PA5-117028), anti-rabbit HRP (WB 1:8,000; ThermoFisher, 31460), anti-goat HRP (WB 1:10,000; ThermoFisher, 31402), anti-mouse HRP (WB 1:10,000; ThermoFisher, 61-6520), anti-rabbit biotin-conjugated (IF 1:500; Thermo Fisher, A16039), anti-rabbit Cy3 (IF 1:1,000; Jackson Immuno Research Laboratories, 111-165-144), anti-rabbit Alexa Fluor 568 (IF 1:500; Thermo Fisher, A10042), anti-rabbit Alexa Fluor 647 (IF 1:500, FACS 1:500; Thermo Fisher, A31573), anti-mouse DyLight 405 (IF 1:300; Jackson Immuno Research Laboratories, 715-475-151), anti-mouse Alexa Fluor 568 (IF 1:500, FACS 1:500; Thermo Fisher, A10037), anti-goat DyLight 405 (IF 1:300; Jackson Immuno Research Laboratories, 705-475-147), anti-goat Alexa 405 Plus (IF 1:500; Thermo Fisher, A48258), anti-goat Alexa Fluor 568 (IF 1:500; Thermo Fisher, A11057) anti-goat Alexa Fluor 647 (IF 1:500, FACS 1:500; Thermo Fisher, A32849), anti-rat DyLight 550 (IF 1:600; Thermo Fisher, SA5-10027) and anti-chicken Alexa Fluor 647 (IF 1:500, Jackson Immuno Research Laboratories, 703-605-155).

Article Title: Functional multi-organelle units control inflammatory lipid metabolism of macrophages
Article Snippet: The following antibodies were used for immunofluorescence staining (IF), western blot (WB) or flow cytometry (FACS): anti-ABCD1 (WB 1:5,000; IF 1:500; Abcam, ab197013), anti-ACSL1 (IF 1:200, Proteintech, 13989-1-AP), anti-ATGL (WB 1:1,000; IF 1:200; Cell Signaling Technology, 2439), anti-β-actin-horseradish peroxidase (HRP) (WB 1:40,000; SantaCruz, sc-47778 HRP), anti-Calnexin (IF 1:250; Proteintech, 10427-2-AP), anti-Catalase (IF 1:300; FACS 1:100; R&D Systems, AF3398), anti-CD16/CD23 (FACS 1:1,000; Thermo Fisher, 14-0161-82), anti-CD107a (IF 1:200; BioLegend, 121601), anti-CD107a Alexa488-conjugated (FACS 1:200; BioLegend, 121607), anti-COX2 (IF 1:400; WB 1:1,000; Cell Signaling Technology, 12282), anti-cPLA2 (IF 1:250; WB 1:1,000; Cell Signaling Technology, 5249), anti-DRP1 (WB 1:1,000, IF 1:100; Cell Signaling Technology, 8570), anti-phospho-DRP1 (S616) (WB 1:1,000; Cell Signaling Technology, 3455), anti-phospho-DRP1 (S637) (WB 1:1,000; Cell Signaling Technology, 4867), anti-FAM73B (WB 1:1,000; Abcam, ab122713), anti-GM130 (IF 1:300; FACS 1:500; BD Bioscience, 610823), anti-GNPAT (WB 1:1,000; Proteintech, 14931-1-AP), anti-HSD17B4 (WB 1:1,000; Novus Biologicals, NBP1-85296), anti-HSP60 (IF 1:1,000; FACS 1:500; Cell Signaling Technology, 12165), anti-HSP60 (IF 1:1,000, antibodies.com, A85438), anti-MFN2 (WB 1:1,000; Abcam, ab124773), anti-mPGES1 (IF 1:500; WB 1:1,000; Abcam, ab180589), anti-OPA1 (WB 1:1,000; Thermo Fisher, MA5-16149), anti-PEX5 (WB 1:5,000; Novus Biologicals, NBP1-87185), anti-RMDN3 (WB 1:200; Thermo Fisher, PA5-117028), anti-rabbit HRP (WB 1:8,000; ThermoFisher, 31460), anti-goat HRP (WB 1:10,000; ThermoFisher, 31402), anti-mouse HRP (WB 1:10,000; ThermoFisher, 61-6520), anti-rabbit biotin-conjugated (IF 1:500; Thermo Fisher, A16039), anti-rabbit Cy3 (IF 1:1,000; Jackson Immuno Research Laboratories, 111-165-144), anti-rabbit Alexa Fluor 568 (IF 1:500; Thermo Fisher, A10042), anti-rabbit Alexa Fluor 647 (IF 1:500, FACS 1:500; Thermo Fisher, A31573), anti-mouse DyLight 405 (IF 1:300; Jackson Immuno Research Laboratories, 715-475-151), anti-mouse Alexa Fluor 568 (IF 1:500, FACS 1:500; Thermo Fisher, A10037), anti-goat DyLight 405 (IF 1:300; Jackson Immuno Research Laboratories, 705-475-147), anti-goat Alexa 405 Plus (IF 1:500; Thermo Fisher, A48258), anti-goat Alexa Fluor 568 (IF 1:500; Thermo Fisher, A11057) anti-goat Alexa Fluor 647 (IF 1:500, FACS 1:500; Thermo Fisher, A32849), anti-rat DyLight 550 (IF 1:600; Thermo Fisher, SA5-10027) and anti-chicken Alexa Fluor 647 (IF 1:500, Jackson Immuno Research Laboratories, 703-605-155).



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<t>GNPAT</t> regulates peroxisomal function and plasmalogen synthesis. (A, B) Western blot analysis of GNPAT protein expression (n=3). (C) RT-qPCR analysis of GNPAT mRNA expression in transfected HepG2 cells (n=6). (D, E) Representative immunofluorescence images (top) and quantitative analysis (bottom) of peroxisomes labeled with ABCD3 antibody. Scale bar, 10 μm. (F) Cellular pPE levels detected by LC-MS/MS. *p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001.
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<t>GNPAT</t> regulates peroxisomal function and plasmalogen synthesis. (A, B) Western blot analysis of GNPAT protein expression (n=3). (C) RT-qPCR analysis of GNPAT mRNA expression in transfected HepG2 cells (n=6). (D, E) Representative immunofluorescence images (top) and quantitative analysis (bottom) of peroxisomes labeled with ABCD3 antibody. Scale bar, 10 μm. (F) Cellular pPE levels detected by LC-MS/MS. *p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001.
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<t>GNPAT</t> regulates peroxisomal function and plasmalogen synthesis. (A, B) Western blot analysis of GNPAT protein expression (n=3). (C) RT-qPCR analysis of GNPAT mRNA expression in transfected HepG2 cells (n=6). (D, E) Representative immunofluorescence images (top) and quantitative analysis (bottom) of peroxisomes labeled with ABCD3 antibody. Scale bar, 10 μm. (F) Cellular pPE levels detected by LC-MS/MS. *p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001.
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( A ) Peroxisomes at the LCV are larger than those in the rest of the cell. Primary murine macrophages were challenged with WT bacteria, fixed, and visualized by fluorescence microscopy (as in ). Images were deconvoluted in three dimensions and the size of PMP70 puncta, based on the volume occupied in three-dimensional space were quantified (see Materials and Methods). ( B ) The relative abundance of peroxisomes at the LCV is similar to the rest of the cell. The number of PMP70 puncta from experiments in (A) was quantified, normalizing to the volume of the respective compartments. [(A) and (B)] Data are the combined measurements of two biological replicates, scoring 75 cells each. An asterisk indicates a two-way analysis of variance (ANOVA) with a post hoc two-tailed, nonparametric t test with Welch correction P < 0.0001. ( C ) L. pneumophila infection alters the abundance of peroxisomal proteins. THP-1 cells were infected for the indicated times and the amount of ACOX1, <t>GNPAT,</t> and AGPS in infected (I) cells was compared to uninfected (UI) cells by Western analysis (upper panel), and quantified (lower panel), normalizing to total protein (fig. S11B) and reported as fold change relative to 1 hour in uninfected cells. ( D ) Disruption of peroxisome lipid biosynthetic genes impairs L. pneumophila intracellular growth. THP-1 cells depleted of GNPAT or AGPS, based on Western analysis of whole-cell lysates (left panel), were infected with WT L. pneumophila and bacterial replication was quantified on the basis of recovered cfus from host cell lysates at 24 hours and normalized to the WT bacteria in WT host cells by the number of bacteria at 1 hpi. [(C) and (D)] Data are the mean ± SD of three biological replicates consisting of three technical replicates each. An asterisk indicates a Student’s t test P < 0.05 compared to uninfected cells at the same time point (C) or WT bacteria in WT host cells (D).
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Image Search Results


GNPAT regulates peroxisomal function and plasmalogen synthesis. (A, B) Western blot analysis of GNPAT protein expression (n=3). (C) RT-qPCR analysis of GNPAT mRNA expression in transfected HepG2 cells (n=6). (D, E) Representative immunofluorescence images (top) and quantitative analysis (bottom) of peroxisomes labeled with ABCD3 antibody. Scale bar, 10 μm. (F) Cellular pPE levels detected by LC-MS/MS. *p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001.

Journal: Frontiers in Immunology

Article Title: GNPAT promotes immunosuppression in hepatocellular carcinoma by activating the plasmalogen-PPARγ pathway to drive M2 macrophage polarization

doi: 10.3389/fimmu.2026.1765930

Figure Lengend Snippet: GNPAT regulates peroxisomal function and plasmalogen synthesis. (A, B) Western blot analysis of GNPAT protein expression (n=3). (C) RT-qPCR analysis of GNPAT mRNA expression in transfected HepG2 cells (n=6). (D, E) Representative immunofluorescence images (top) and quantitative analysis (bottom) of peroxisomes labeled with ABCD3 antibody. Scale bar, 10 μm. (F) Cellular pPE levels detected by LC-MS/MS. *p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001.

Article Snippet: Membranes were blocked with 5% skim milk in TBST for 90 minutes at 25°C before overnight incubation at 4°C with primary antibodies from Proteintech: GNPAT (14931-1-AP; 1:1,000), E-cadherin (20874-1-AP; 1:10,000), N-cadherin (22018-1-AP; 1:2,000), Vimentin (10366-1-AP; 1:20,000), and PPARγ (16643-1-AP; 1:1,000).

Techniques: Western Blot, Expressing, Quantitative RT-PCR, Transfection, Immunofluorescence, Labeling, Liquid Chromatography with Mass Spectroscopy

( A ) Peroxisomes at the LCV are larger than those in the rest of the cell. Primary murine macrophages were challenged with WT bacteria, fixed, and visualized by fluorescence microscopy (as in ). Images were deconvoluted in three dimensions and the size of PMP70 puncta, based on the volume occupied in three-dimensional space were quantified (see Materials and Methods). ( B ) The relative abundance of peroxisomes at the LCV is similar to the rest of the cell. The number of PMP70 puncta from experiments in (A) was quantified, normalizing to the volume of the respective compartments. [(A) and (B)] Data are the combined measurements of two biological replicates, scoring 75 cells each. An asterisk indicates a two-way analysis of variance (ANOVA) with a post hoc two-tailed, nonparametric t test with Welch correction P < 0.0001. ( C ) L. pneumophila infection alters the abundance of peroxisomal proteins. THP-1 cells were infected for the indicated times and the amount of ACOX1, GNPAT, and AGPS in infected (I) cells was compared to uninfected (UI) cells by Western analysis (upper panel), and quantified (lower panel), normalizing to total protein (fig. S11B) and reported as fold change relative to 1 hour in uninfected cells. ( D ) Disruption of peroxisome lipid biosynthetic genes impairs L. pneumophila intracellular growth. THP-1 cells depleted of GNPAT or AGPS, based on Western analysis of whole-cell lysates (left panel), were infected with WT L. pneumophila and bacterial replication was quantified on the basis of recovered cfus from host cell lysates at 24 hours and normalized to the WT bacteria in WT host cells by the number of bacteria at 1 hpi. [(C) and (D)] Data are the mean ± SD of three biological replicates consisting of three technical replicates each. An asterisk indicates a Student’s t test P < 0.05 compared to uninfected cells at the same time point (C) or WT bacteria in WT host cells (D).

Journal: Science Advances

Article Title: Bacterial pathogens hijack host cell peroxisomes for replication vacuole expansion and integrity

doi: 10.1126/sciadv.adr8005

Figure Lengend Snippet: ( A ) Peroxisomes at the LCV are larger than those in the rest of the cell. Primary murine macrophages were challenged with WT bacteria, fixed, and visualized by fluorescence microscopy (as in ). Images were deconvoluted in three dimensions and the size of PMP70 puncta, based on the volume occupied in three-dimensional space were quantified (see Materials and Methods). ( B ) The relative abundance of peroxisomes at the LCV is similar to the rest of the cell. The number of PMP70 puncta from experiments in (A) was quantified, normalizing to the volume of the respective compartments. [(A) and (B)] Data are the combined measurements of two biological replicates, scoring 75 cells each. An asterisk indicates a two-way analysis of variance (ANOVA) with a post hoc two-tailed, nonparametric t test with Welch correction P < 0.0001. ( C ) L. pneumophila infection alters the abundance of peroxisomal proteins. THP-1 cells were infected for the indicated times and the amount of ACOX1, GNPAT, and AGPS in infected (I) cells was compared to uninfected (UI) cells by Western analysis (upper panel), and quantified (lower panel), normalizing to total protein (fig. S11B) and reported as fold change relative to 1 hour in uninfected cells. ( D ) Disruption of peroxisome lipid biosynthetic genes impairs L. pneumophila intracellular growth. THP-1 cells depleted of GNPAT or AGPS, based on Western analysis of whole-cell lysates (left panel), were infected with WT L. pneumophila and bacterial replication was quantified on the basis of recovered cfus from host cell lysates at 24 hours and normalized to the WT bacteria in WT host cells by the number of bacteria at 1 hpi. [(C) and (D)] Data are the mean ± SD of three biological replicates consisting of three technical replicates each. An asterisk indicates a Student’s t test P < 0.05 compared to uninfected cells at the same time point (C) or WT bacteria in WT host cells (D).

Article Snippet: Equal amounts of protein were examined by Western analysis, probing with the target specific antibody, rabbit α-PEX5 (1:500) (Proteintech), rabbit α-GNPAT (1:1000) (Proteintech), or mouse α-AGPS (1:500) (Santa Cruz) overnight at 4°C, followed by HRP-conjugated α-rabbit IgG (1:5000) (Sigma-Aldrich) or HRP-conjugated α-mouse IgG (1:5000) (Sigma-Aldrich), as appropriate.

Techniques: Bacteria, Fluorescence, Microscopy, Two Tailed Test, Infection, Western Blot, Disruption

( A ) LCVs in macrophages lacking functional peroxisomes exhibit compact architecture. Wild-type (WT) immortalized murine macrophages (RAW264.7 cells) lacking either PEX19 or PEX5 or cells lacking PEX5 that were exogenously supplemented with palmitate (PA) were infected with L. pneumophila for 12 hours, fixed, and visualized by fluorescence microscopy. ( B ) LCVs in (A) were scored as spread (the majority of bacteria aligned end to end or at various angles) or compact (the majority of bacteria bundled together with their sidewalls juxtaposed to one another, with no bacteria extending beyond the boundary of a spherical shape) based on the organization of the bacteria in three-dimensional space . ( C ) Peroxisome defects lead to increased numbers of ruptured LCVs. Infected cells as in (A) were stained for L. pneumophila ( Lp ) and Galectin-3 (Gal3). ( D ) LCVs in (C) were scored for colocalization with Gal3. ( E ) Disruption of peroxisome lipid metabolic pathways limits LCV expansion and causes LCV destabilization. WT human monocyte–derived macrophages (THP-1 cells) lacking PEX5, GNPAT, or AGPS (Fig. 5B) were infected with L. pneumophila for 12 hours, fixed, and visualized by fluorescence microscopy. ( F ) LCVs in (E) were scored as spread or compact, as described in (B). ( G ) Gal3 colocalization with LCVs in (E) was quantified. [(B), (C), (F), (G)] Data are the mean ± SD of three biological replicates consisting of three technical replications each, scoring 50 to 100 vacuoles per technical replicate. An asterisk indicates a Student’s t test P < 0.05 compared to WT, unless otherwise indicated. ns, not significant.

Journal: Science Advances

Article Title: Bacterial pathogens hijack host cell peroxisomes for replication vacuole expansion and integrity

doi: 10.1126/sciadv.adr8005

Figure Lengend Snippet: ( A ) LCVs in macrophages lacking functional peroxisomes exhibit compact architecture. Wild-type (WT) immortalized murine macrophages (RAW264.7 cells) lacking either PEX19 or PEX5 or cells lacking PEX5 that were exogenously supplemented with palmitate (PA) were infected with L. pneumophila for 12 hours, fixed, and visualized by fluorescence microscopy. ( B ) LCVs in (A) were scored as spread (the majority of bacteria aligned end to end or at various angles) or compact (the majority of bacteria bundled together with their sidewalls juxtaposed to one another, with no bacteria extending beyond the boundary of a spherical shape) based on the organization of the bacteria in three-dimensional space . ( C ) Peroxisome defects lead to increased numbers of ruptured LCVs. Infected cells as in (A) were stained for L. pneumophila ( Lp ) and Galectin-3 (Gal3). ( D ) LCVs in (C) were scored for colocalization with Gal3. ( E ) Disruption of peroxisome lipid metabolic pathways limits LCV expansion and causes LCV destabilization. WT human monocyte–derived macrophages (THP-1 cells) lacking PEX5, GNPAT, or AGPS (Fig. 5B) were infected with L. pneumophila for 12 hours, fixed, and visualized by fluorescence microscopy. ( F ) LCVs in (E) were scored as spread or compact, as described in (B). ( G ) Gal3 colocalization with LCVs in (E) was quantified. [(B), (C), (F), (G)] Data are the mean ± SD of three biological replicates consisting of three technical replications each, scoring 50 to 100 vacuoles per technical replicate. An asterisk indicates a Student’s t test P < 0.05 compared to WT, unless otherwise indicated. ns, not significant.

Article Snippet: Equal amounts of protein were examined by Western analysis, probing with the target specific antibody, rabbit α-PEX5 (1:500) (Proteintech), rabbit α-GNPAT (1:1000) (Proteintech), or mouse α-AGPS (1:500) (Santa Cruz) overnight at 4°C, followed by HRP-conjugated α-rabbit IgG (1:5000) (Sigma-Aldrich) or HRP-conjugated α-mouse IgG (1:5000) (Sigma-Aldrich), as appropriate.

Techniques: Functional Assay, Infection, Fluorescence, Microscopy, Bacteria, Staining, Disruption, Derivative Assay