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: 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

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

Journal: bioRxiv

Article Title: DNA methylation reveals distinct cells of origin for pancreatic neuroendocrine carcinomas (PanNECs) and pancreatic neuroendocrine tumors (PanNETs)

doi: 10.1101/2020.06.12.146811

Figure Lengend Snippet: a . Differentially Methylated Probes (DMPs) from our cohort associated with pancreatic cell markers (n=770). Dots: intersect between -Log10 P value and the log2 fold change (FC) for a given probe. Cut off for significant -Log10 P-value: 5 (adjusted p-value: 10 -6 ); cut-off for significant log2FC: >|0.25|. Red: probes passing both cut-offs; Green: probes only surpassing the log2FC threshold; Blue: probes that only have a significant p-value; Grey: probes that did not pass either of the cut-offs; Significantly associated DMP probes of IRX2 and NKX6-1 labeled in the plot. b. Methylation beta value of significant DMPs of pancreatic cell markers of PanNEN subgroups. Heatmap displaying the methylation beta values of DMPs (row) in each sample (column). The heatmap color represents the methylation beta value; row annotation identifies the genomic region associated with the probe (panel on the right) in addition to which cell type the gene shows specificity in gene expression (according to PanglaoDB). c. Methylation beta value of probes associated with IRX2 and PDX1 in PanNEN subgroups. DMP probes of IRX2 and 10K probes associated with PDX1 (rows) for each sample (column); rows are split at each associated gene (left); columns are split at each subgroup (bottom); row annotation: genomic region associated with the probe (panel on the right); column annotation (bottom): the tumor grade, tumor type as well as the recurrently aberrated genes in the context of IRX2 and PDX1 methylation state. d. Representative IHC of ARX and PDX1 in PanNEN subgroups. Scale bar: 20µm.

Article Snippet: 2.5μm FFPE sections were used for ARX (1:1500, R&D Systems, sheep, AF7068), PDX1 (1:100, R&D Systems, mouse, MAB2419)) and SOX9 (1:100, Cell Signaling, rabbit, mAb #82630) immunostainings.

Techniques: Methylation, Labeling, Gene Expression

Journal: bioRxiv

Article Title: DNA methylation reveals distinct cells of origin for pancreatic neuroendocrine carcinomas (PanNECs) and pancreatic neuroendocrine tumors (PanNETs)

doi: 10.1101/2020.06.12.146811

Figure Lengend Snippet: a. Distribution of absolute log2FC of pancreatic cell marker associated DMPs. Absolute log2FC ranges from 0.03 to 0.59 (x-axis), frequency of a given absolute log2FC on y-axis. b. Number of markers associated with each cell type represented in the bar plot; Markers associated with multiple cell types are also depicted; the cell type of the respective associations are linked (bottom annotation). c. IHC of ARX, PDX1 and SOX9 in Group A. All samples that underwent IHC for all three markers are shown. d . IHC analysis of ARX, PDX1 and SOX9 in Group B. The samples that underwent IHC for all three markers are shown. Scale bar: 20µm.

Article Snippet: 2.5μm FFPE sections were used for ARX (1:1500, R&D Systems, sheep, AF7068), PDX1 (1:100, R&D Systems, mouse, MAB2419)) and SOX9 (1:100, Cell Signaling, rabbit, mAb #82630) immunostainings.

Techniques: Marker

Journal: bioRxiv

Article Title: DNA methylation reveals distinct cells of origin for pancreatic neuroendocrine carcinomas (PanNECs) and pancreatic neuroendocrine tumors (PanNETs)

doi: 10.1101/2020.06.12.146811

Figure Lengend Snippet: a. Stacked bar plot representing proportions of the pancreatic cell signatures; top annotation: PanNEN subgroup for the respective samples. b. Proportion of pancreatic cell signature in each PDAC sample (n=167). Legend as in a. c . Proportion of pancreatic cell atlas signatures in NETG3 and NECs of Group A and Group B, as well as PDACs. Boxplot representing distribution of the proportion of atlas signature of α-, β-, ductal and acinar cells (each main box) in the NETG3 and NECs of subgroups and PDACs; Each dot depicts the proportion of atlas signature of the respective cell type in a given sample. d . Proportion of pancreatic cell atlas signatures in IRX2 hypo/ PDX1 hypermethylated and IRX2 hypo/ PDX1 hypomethylated tumors of Group A. Boxplot represents distribution of the proportion of atlas signature of α-, β-, ductal and acinar cells (each main box) Group A tumors of respective ARX and PDX1 methylation profile; Each dot depicts the proportion of atlas signature of the respective cell type in a given sample.

Article Snippet: 2.5μm FFPE sections were used for ARX (1:1500, R&D Systems, sheep, AF7068), PDX1 (1:100, R&D Systems, mouse, MAB2419)) and SOX9 (1:100, Cell Signaling, rabbit, mAb #82630) immunostainings.

Techniques: Methylation