pdx1 Search Results


86
Jackson Laboratory pdx1 creer
Pdx1 Creer, 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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Jackson Laboratory pdx1 cre mice
A GSEA analysis of upregulated and downregulated Hallmark genesets in the Scap Δpanc compared to Scap f/f acinar cluster. B IPA upstream regulator analysis of predicted upregulated and downregulated signaling pathways in the Scap Δpanc acinar cluster compared to Scap f/f . C Enrichr analysis of Jensen DISEASES genesets associated with genes overexpressed in Scap Δpanc versus Scap f/f acinar cells. D GSEA analysis of upregulated and downregulated Hallmark genesets in the Scap Δpanc compared to Scap f/f exocrine cluster. E IPA analysis of predicted upregulated and downregulated signaling pathways associated with observed gene expression changes in the Scap Δpanc versus Scap f/f exocrine cluster. F A UMAP projection of Scap Δpanc (left) and Scap f/f (right) pancreatic exocrine and acinar cells. Point color—from blue (early pseudotime, least differentiated, expressing genes <t>Pdx1</t> , Hnf1b , Sox9 , Ptf1a ) through yellow (intermediate) to red (late pseudotime, most differentiated, expressing genes Amy2a , Cpa1 , Prss1 , Krt19 )—reflects Monocle 3-inferred differentiation progression, showing that Scap Δpanc cells are restricted to the middle differentiation stages while Scap f/f cells had both earlier and later differentiation states. G A violin plot showing the quantification of the pseudotime distribution of Scap Δpanc and Scap f/f clusters. H A UMAP projection of pseudotime values split into three equally populated bins (Early, Middle, and Late) using quantile-based tertile cuts. I Bar chart of percentage of cells in Scap Δpanc and Scap f/f samples by pseudotime stage. J Graphical abstract describing how the loss of Scap impacts the pancreas. Created in BioRender. Lilly, A. (2026) https://BioRender.com/511uib5 . *** p ≤ 0.001, in all panels. Chi-square test used for quantification of percentage of cells by pseudotime stage.
Pdx1 Cre Mice, supplied by Jackson Laboratory, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/pdx1/cre+pdx1/pmc13190320-28-3-7
Average 86 stars, based on 1 article reviews
pdx1 cre mice - by Bioz Stars, 2026-10
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93
R&D Systems goat anti pdx1
A GSEA analysis of upregulated and downregulated Hallmark genesets in the Scap Δpanc compared to Scap f/f acinar cluster. B IPA upstream regulator analysis of predicted upregulated and downregulated signaling pathways in the Scap Δpanc acinar cluster compared to Scap f/f . C Enrichr analysis of Jensen DISEASES genesets associated with genes overexpressed in Scap Δpanc versus Scap f/f acinar cells. D GSEA analysis of upregulated and downregulated Hallmark genesets in the Scap Δpanc compared to Scap f/f exocrine cluster. E IPA analysis of predicted upregulated and downregulated signaling pathways associated with observed gene expression changes in the Scap Δpanc versus Scap f/f exocrine cluster. F A UMAP projection of Scap Δpanc (left) and Scap f/f (right) pancreatic exocrine and acinar cells. Point color—from blue (early pseudotime, least differentiated, expressing genes <t>Pdx1</t> , Hnf1b , Sox9 , Ptf1a ) through yellow (intermediate) to red (late pseudotime, most differentiated, expressing genes Amy2a , Cpa1 , Prss1 , Krt19 )—reflects Monocle 3-inferred differentiation progression, showing that Scap Δpanc cells are restricted to the middle differentiation stages while Scap f/f cells had both earlier and later differentiation states. G A violin plot showing the quantification of the pseudotime distribution of Scap Δpanc and Scap f/f clusters. H A UMAP projection of pseudotime values split into three equally populated bins (Early, Middle, and Late) using quantile-based tertile cuts. I Bar chart of percentage of cells in Scap Δpanc and Scap f/f samples by pseudotime stage. J Graphical abstract describing how the loss of Scap impacts the pancreas. Created in BioRender. Lilly, A. (2026) https://BioRender.com/511uib5 . *** p ≤ 0.001, in all panels. Chi-square test used for quantification of percentage of cells by pseudotime stage.
Goat Anti Pdx1, supplied by R&D Systems, used in various techniques. Bioz Stars score: 93/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 93 stars, based on 1 article reviews
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94
Cell Signaling Technology Inc anti pdx1
A GSEA analysis of upregulated and downregulated Hallmark genesets in the Scap Δpanc compared to Scap f/f acinar cluster. B IPA upstream regulator analysis of predicted upregulated and downregulated signaling pathways in the Scap Δpanc acinar cluster compared to Scap f/f . C Enrichr analysis of Jensen DISEASES genesets associated with genes overexpressed in Scap Δpanc versus Scap f/f acinar cells. D GSEA analysis of upregulated and downregulated Hallmark genesets in the Scap Δpanc compared to Scap f/f exocrine cluster. E IPA analysis of predicted upregulated and downregulated signaling pathways associated with observed gene expression changes in the Scap Δpanc versus Scap f/f exocrine cluster. F A UMAP projection of Scap Δpanc (left) and Scap f/f (right) pancreatic exocrine and acinar cells. Point color—from blue (early pseudotime, least differentiated, expressing genes <t>Pdx1</t> , Hnf1b , Sox9 , Ptf1a ) through yellow (intermediate) to red (late pseudotime, most differentiated, expressing genes Amy2a , Cpa1 , Prss1 , Krt19 )—reflects Monocle 3-inferred differentiation progression, showing that Scap Δpanc cells are restricted to the middle differentiation stages while Scap f/f cells had both earlier and later differentiation states. G A violin plot showing the quantification of the pseudotime distribution of Scap Δpanc and Scap f/f clusters. H A UMAP projection of pseudotime values split into three equally populated bins (Early, Middle, and Late) using quantile-based tertile cuts. I Bar chart of percentage of cells in Scap Δpanc and Scap f/f samples by pseudotime stage. J Graphical abstract describing how the loss of Scap impacts the pancreas. Created in BioRender. Lilly, A. (2026) https://BioRender.com/511uib5 . *** p ≤ 0.001, in all panels. Chi-square test used for quantification of percentage of cells by pseudotime stage.
Anti Pdx1, supplied by Cell Signaling Technology Inc, used in various techniques. Bioz Stars score: 94/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/pdx1/Pdx1+XP+Rabbit+mAb/pm39413003-73-5-16
Average 94 stars, based on 1 article reviews
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94
Addgene inc pb ct3g cerp2 mg ires2 mtagbfp2
A GSEA analysis of upregulated and downregulated Hallmark genesets in the Scap Δpanc compared to Scap f/f acinar cluster. B IPA upstream regulator analysis of predicted upregulated and downregulated signaling pathways in the Scap Δpanc acinar cluster compared to Scap f/f . C Enrichr analysis of Jensen DISEASES genesets associated with genes overexpressed in Scap Δpanc versus Scap f/f acinar cells. D GSEA analysis of upregulated and downregulated Hallmark genesets in the Scap Δpanc compared to Scap f/f exocrine cluster. E IPA analysis of predicted upregulated and downregulated signaling pathways associated with observed gene expression changes in the Scap Δpanc versus Scap f/f exocrine cluster. F A UMAP projection of Scap Δpanc (left) and Scap f/f (right) pancreatic exocrine and acinar cells. Point color—from blue (early pseudotime, least differentiated, expressing genes <t>Pdx1</t> , Hnf1b , Sox9 , Ptf1a ) through yellow (intermediate) to red (late pseudotime, most differentiated, expressing genes Amy2a , Cpa1 , Prss1 , Krt19 )—reflects Monocle 3-inferred differentiation progression, showing that Scap Δpanc cells are restricted to the middle differentiation stages while Scap f/f cells had both earlier and later differentiation states. G A violin plot showing the quantification of the pseudotime distribution of Scap Δpanc and Scap f/f clusters. H A UMAP projection of pseudotime values split into three equally populated bins (Early, Middle, and Late) using quantile-based tertile cuts. I Bar chart of percentage of cells in Scap Δpanc and Scap f/f samples by pseudotime stage. J Graphical abstract describing how the loss of Scap impacts the pancreas. Created in BioRender. Lilly, A. (2026) https://BioRender.com/511uib5 . *** p ≤ 0.001, in all panels. Chi-square test used for quantification of percentage of cells by pseudotime stage.
Pb Ct3g Cerp2 Mg Ires2 Mtagbfp2, supplied by Addgene inc, used in various techniques. Bioz Stars score: 94/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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93
Proteintech anti pdhx antibody
A GSEA analysis of upregulated and downregulated Hallmark genesets in the Scap Δpanc compared to Scap f/f acinar cluster. B IPA upstream regulator analysis of predicted upregulated and downregulated signaling pathways in the Scap Δpanc acinar cluster compared to Scap f/f . C Enrichr analysis of Jensen DISEASES genesets associated with genes overexpressed in Scap Δpanc versus Scap f/f acinar cells. D GSEA analysis of upregulated and downregulated Hallmark genesets in the Scap Δpanc compared to Scap f/f exocrine cluster. E IPA analysis of predicted upregulated and downregulated signaling pathways associated with observed gene expression changes in the Scap Δpanc versus Scap f/f exocrine cluster. F A UMAP projection of Scap Δpanc (left) and Scap f/f (right) pancreatic exocrine and acinar cells. Point color—from blue (early pseudotime, least differentiated, expressing genes <t>Pdx1</t> , Hnf1b , Sox9 , Ptf1a ) through yellow (intermediate) to red (late pseudotime, most differentiated, expressing genes Amy2a , Cpa1 , Prss1 , Krt19 )—reflects Monocle 3-inferred differentiation progression, showing that Scap Δpanc cells are restricted to the middle differentiation stages while Scap f/f cells had both earlier and later differentiation states. G A violin plot showing the quantification of the pseudotime distribution of Scap Δpanc and Scap f/f clusters. H A UMAP projection of pseudotime values split into three equally populated bins (Early, Middle, and Late) using quantile-based tertile cuts. I Bar chart of percentage of cells in Scap Δpanc and Scap f/f samples by pseudotime stage. J Graphical abstract describing how the loss of Scap impacts the pancreas. Created in BioRender. Lilly, A. (2026) https://BioRender.com/511uib5 . *** p ≤ 0.001, in all panels. Chi-square test used for quantification of percentage of cells by pseudotime stage.
Anti Pdhx Antibody, supplied by Proteintech, used in various techniques. Bioz Stars score: 93/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/pdx1/PDHX+Antibody/pmc03517600-130-5-7
Average 93 stars, based on 1 article reviews
anti pdhx antibody - by Bioz Stars, 2026-10
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94
Santa Cruz Biotechnology pdx1
A GSEA analysis of upregulated and downregulated Hallmark genesets in the Scap Δpanc compared to Scap f/f acinar cluster. B IPA upstream regulator analysis of predicted upregulated and downregulated signaling pathways in the Scap Δpanc acinar cluster compared to Scap f/f . C Enrichr analysis of Jensen DISEASES genesets associated with genes overexpressed in Scap Δpanc versus Scap f/f acinar cells. D GSEA analysis of upregulated and downregulated Hallmark genesets in the Scap Δpanc compared to Scap f/f exocrine cluster. E IPA analysis of predicted upregulated and downregulated signaling pathways associated with observed gene expression changes in the Scap Δpanc versus Scap f/f exocrine cluster. F A UMAP projection of Scap Δpanc (left) and Scap f/f (right) pancreatic exocrine and acinar cells. Point color—from blue (early pseudotime, least differentiated, expressing genes <t>Pdx1</t> , Hnf1b , Sox9 , Ptf1a ) through yellow (intermediate) to red (late pseudotime, most differentiated, expressing genes Amy2a , Cpa1 , Prss1 , Krt19 )—reflects Monocle 3-inferred differentiation progression, showing that Scap Δpanc cells are restricted to the middle differentiation stages while Scap f/f cells had both earlier and later differentiation states. G A violin plot showing the quantification of the pseudotime distribution of Scap Δpanc and Scap f/f clusters. H A UMAP projection of pseudotime values split into three equally populated bins (Early, Middle, and Late) using quantile-based tertile cuts. I Bar chart of percentage of cells in Scap Δpanc and Scap f/f samples by pseudotime stage. J Graphical abstract describing how the loss of Scap impacts the pancreas. Created in BioRender. Lilly, A. (2026) https://BioRender.com/511uib5 . *** p ≤ 0.001, in all panels. Chi-square test used for quantification of percentage of cells by pseudotime stage.
Pdx1, supplied by Santa Cruz Biotechnology, used in various techniques. Bioz Stars score: 94/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/pdx1/PDX-1+Antibody/10__1042_slash_bj20120693-63-46-51
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93
ABclonal Biotechnology cat

Cat, supplied by ABclonal Biotechnology, used in various techniques. Bioz Stars score: 93/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/pdx1/PDX1+Rabbit+pAb/pmc11253548-12-4-2
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Cyagen Biosciences pdx1 cre

Pdx1 Cre, supplied by Cyagen Biosciences, used in various techniques. Bioz Stars score: 94/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/pdx1/Pdx1/pmc09636246-167-0-8
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92
Addgene inc pad5 b7δe4

Pad5 B7δe4, supplied by Addgene inc, used in various techniques. Bioz Stars score: 92/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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R&D Systems anti human pdx

Anti Human Pdx, supplied by R&D Systems, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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93
OriGene pdx1
Effects of 4-week semaglutide or calorie restriction administration on METTL3/14 signaling and β-cell proliferation marker genes in the pancreatic of obese mice. ( A ) Western blot was used to analyze the expression of METTL3, METTL14, and <t>PDX1.</t> ( B ) Relative mRNA expression levels of METTL3/14 and β-cell proliferation marker genes. ( C ) Relative m6A levels in the pancreatic islets ( n = 3). Data are presented as mean ± SD. * p < 0.05 versus control group, # p < 0.05 versus model group, respectively. Control, normal mice group; Model, high-fat diet-induced obese mice group; Model + SME, obese mice group administrated with semaglutide; Model + CR, obese mice group administrated with calorie restriction
Pdx1, supplied by OriGene, used in various techniques. Bioz Stars score: 93/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/pdx1/PDX1+Rabbit+Polyclonal+Antibody/pmc12330110-61-54-56
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Image Search Results


A GSEA analysis of upregulated and downregulated Hallmark genesets in the Scap Δpanc compared to Scap f/f acinar cluster. B IPA upstream regulator analysis of predicted upregulated and downregulated signaling pathways in the Scap Δpanc acinar cluster compared to Scap f/f . C Enrichr analysis of Jensen DISEASES genesets associated with genes overexpressed in Scap Δpanc versus Scap f/f acinar cells. D GSEA analysis of upregulated and downregulated Hallmark genesets in the Scap Δpanc compared to Scap f/f exocrine cluster. E IPA analysis of predicted upregulated and downregulated signaling pathways associated with observed gene expression changes in the Scap Δpanc versus Scap f/f exocrine cluster. F A UMAP projection of Scap Δpanc (left) and Scap f/f (right) pancreatic exocrine and acinar cells. Point color—from blue (early pseudotime, least differentiated, expressing genes Pdx1 , Hnf1b , Sox9 , Ptf1a ) through yellow (intermediate) to red (late pseudotime, most differentiated, expressing genes Amy2a , Cpa1 , Prss1 , Krt19 )—reflects Monocle 3-inferred differentiation progression, showing that Scap Δpanc cells are restricted to the middle differentiation stages while Scap f/f cells had both earlier and later differentiation states. G A violin plot showing the quantification of the pseudotime distribution of Scap Δpanc and Scap f/f clusters. H A UMAP projection of pseudotime values split into three equally populated bins (Early, Middle, and Late) using quantile-based tertile cuts. I Bar chart of percentage of cells in Scap Δpanc and Scap f/f samples by pseudotime stage. J Graphical abstract describing how the loss of Scap impacts the pancreas. Created in BioRender. Lilly, A. (2026) https://BioRender.com/511uib5 . *** p ≤ 0.001, in all panels. Chi-square test used for quantification of percentage of cells by pseudotime stage.

Journal: Oncogene

Article Title: Role of SCAP in regulation of pancreatic homeostasis, pancreatitis, and tumorigenesis

doi: 10.1038/s41388-026-03784-y

Figure Lengend Snippet: A GSEA analysis of upregulated and downregulated Hallmark genesets in the Scap Δpanc compared to Scap f/f acinar cluster. B IPA upstream regulator analysis of predicted upregulated and downregulated signaling pathways in the Scap Δpanc acinar cluster compared to Scap f/f . C Enrichr analysis of Jensen DISEASES genesets associated with genes overexpressed in Scap Δpanc versus Scap f/f acinar cells. D GSEA analysis of upregulated and downregulated Hallmark genesets in the Scap Δpanc compared to Scap f/f exocrine cluster. E IPA analysis of predicted upregulated and downregulated signaling pathways associated with observed gene expression changes in the Scap Δpanc versus Scap f/f exocrine cluster. F A UMAP projection of Scap Δpanc (left) and Scap f/f (right) pancreatic exocrine and acinar cells. Point color—from blue (early pseudotime, least differentiated, expressing genes Pdx1 , Hnf1b , Sox9 , Ptf1a ) through yellow (intermediate) to red (late pseudotime, most differentiated, expressing genes Amy2a , Cpa1 , Prss1 , Krt19 )—reflects Monocle 3-inferred differentiation progression, showing that Scap Δpanc cells are restricted to the middle differentiation stages while Scap f/f cells had both earlier and later differentiation states. G A violin plot showing the quantification of the pseudotime distribution of Scap Δpanc and Scap f/f clusters. H A UMAP projection of pseudotime values split into three equally populated bins (Early, Middle, and Late) using quantile-based tertile cuts. I Bar chart of percentage of cells in Scap Δpanc and Scap f/f samples by pseudotime stage. J Graphical abstract describing how the loss of Scap impacts the pancreas. Created in BioRender. Lilly, A. (2026) https://BioRender.com/511uib5 . *** p ≤ 0.001, in all panels. Chi-square test used for quantification of percentage of cells by pseudotime stage.

Article Snippet: The analysis used Pdx1-Cre mice ([ ], Jax#014647, RRID:IMSR_JAX:014647) and Scap f/f mice ([ ], Jax#004162, RRID:IMSR_JAX:004162) obtained from Jackson laboratory (Bar Harbor, ME).

Techniques: Protein-Protein interactions, Gene Expression, Expressing

Journal: iScience

Article Title: Insulin receptor isoform B is required for efficient proinsulin processing in pancreatic β cells

doi: 10.1016/j.isci.2024.110017

Figure Lengend Snippet:

Article Snippet: Pdx1 , Abclonal , CAT:A10173.

Techniques: Recombinant, Enzyme-linked Immunosorbent Assay, Luciferase, Reporter Gene Assay, cDNA Synthesis, Bicinchoninic Acid Protein Assay, Sequencing, Software

Effects of 4-week semaglutide or calorie restriction administration on METTL3/14 signaling and β-cell proliferation marker genes in the pancreatic of obese mice. ( A ) Western blot was used to analyze the expression of METTL3, METTL14, and PDX1. ( B ) Relative mRNA expression levels of METTL3/14 and β-cell proliferation marker genes. ( C ) Relative m6A levels in the pancreatic islets ( n = 3). Data are presented as mean ± SD. * p < 0.05 versus control group, # p < 0.05 versus model group, respectively. Control, normal mice group; Model, high-fat diet-induced obese mice group; Model + SME, obese mice group administrated with semaglutide; Model + CR, obese mice group administrated with calorie restriction

Journal: Nutrition & Metabolism

Article Title: Both subcutaneous semaglutide and calorie restriction improves pancreatic cell hyperplasia and gut microbiota in high-fat diet-induced obese mice

doi: 10.1186/s12986-025-00987-0

Figure Lengend Snippet: Effects of 4-week semaglutide or calorie restriction administration on METTL3/14 signaling and β-cell proliferation marker genes in the pancreatic of obese mice. ( A ) Western blot was used to analyze the expression of METTL3, METTL14, and PDX1. ( B ) Relative mRNA expression levels of METTL3/14 and β-cell proliferation marker genes. ( C ) Relative m6A levels in the pancreatic islets ( n = 3). Data are presented as mean ± SD. * p < 0.05 versus control group, # p < 0.05 versus model group, respectively. Control, normal mice group; Model, high-fat diet-induced obese mice group; Model + SME, obese mice group administrated with semaglutide; Model + CR, obese mice group administrated with calorie restriction

Article Snippet: Equal amounts of protein were loaded and resolved on 10% SDS polyacrylamide gels followed by transfer onto PVDF membranes, which were then blocked with 5% non-fat milk in Tris-buffered saline and 0.1% tween-20 (TBST) for 1 h at room temperature and then incubated with their corresponding primary antibodies, METTL3(1:1000, TA811770, OriGene), METTL14(1:1000, TA378477, OriGene), PDX1(1:1000, TA321081, OriGene), and β-actin(1:2000, TA811000, OriGene), overnight at 4 °C.

Techniques: Marker, Western Blot, Expressing, Control

The effect of semaglutide on PA-induced β-TC-6 cell model.( A )β-TC-6 cells were treated with 0.1, 0.2, 0.5, 1, or 2mM palmitic acid for 48 h and cell survival was measured by CCK-8 kits( n = 6). ( B ) β-TC-6 cells were treated with 0.5, 1, 2, or 4 µg/ml semaglutide in the presence of 1mM PA for 48 h. Cell survival was analyzed using CCK-8 kits( n = 6). ( C , D ) The mRNA and protein levels of METTL3, METTL14, and PDX1 were measured by RT-qPCR and western blot( n = 3). ( E ) Effect of semaglutide on GSIS in PA-induced β-TC-6 cells( n = 6). * p < 0.05 versus control group, # p < 0.05 versus PA group, respectively

Journal: Nutrition & Metabolism

Article Title: Both subcutaneous semaglutide and calorie restriction improves pancreatic cell hyperplasia and gut microbiota in high-fat diet-induced obese mice

doi: 10.1186/s12986-025-00987-0

Figure Lengend Snippet: The effect of semaglutide on PA-induced β-TC-6 cell model.( A )β-TC-6 cells were treated with 0.1, 0.2, 0.5, 1, or 2mM palmitic acid for 48 h and cell survival was measured by CCK-8 kits( n = 6). ( B ) β-TC-6 cells were treated with 0.5, 1, 2, or 4 µg/ml semaglutide in the presence of 1mM PA for 48 h. Cell survival was analyzed using CCK-8 kits( n = 6). ( C , D ) The mRNA and protein levels of METTL3, METTL14, and PDX1 were measured by RT-qPCR and western blot( n = 3). ( E ) Effect of semaglutide on GSIS in PA-induced β-TC-6 cells( n = 6). * p < 0.05 versus control group, # p < 0.05 versus PA group, respectively

Article Snippet: Equal amounts of protein were loaded and resolved on 10% SDS polyacrylamide gels followed by transfer onto PVDF membranes, which were then blocked with 5% non-fat milk in Tris-buffered saline and 0.1% tween-20 (TBST) for 1 h at room temperature and then incubated with their corresponding primary antibodies, METTL3(1:1000, TA811770, OriGene), METTL14(1:1000, TA378477, OriGene), PDX1(1:1000, TA321081, OriGene), and β-actin(1:2000, TA811000, OriGene), overnight at 4 °C.

Techniques: CCK-8 Assay, Quantitative RT-PCR, Western Blot, Control