Journal: Molecular Metabolism

Article Title: A distinct vagus-beta cell neural circuit senses glucose and modulates insulin secretion

doi: 10.1016/j.molmet.2026.102371

Figure Lengend Snippet: Changes in the vagal transcriptome representing metabolic state and diet dependent interactions . (A) Experimental schematic showing three distinct metabolic states: non-fasted (ad libitum food), fasted (no food for 18 h), and feeding (no food for 18 h followed by ad libitum food for 20 min); two distinct diets: regular chow, and high fat diet (60%); and the mouse nodose ganglion used for RNA sequencing. The water supply is ad libitum in all the groups. Each group comprises three males and three females, a total of six mice per group; (B) Plots showing impairment in glucose clearance (glucose intolerance) after four weeks on 60% high fat diet (HFD) in mice used for RNAseq (upper panel), and significantly higher area under the curve (AUC) in a glucose tolerance test for mice feed with 60% HFD for four weeks compared to age and sex-matched mice on regular chow (lower panel); (C) Pathway enrichment analysis using KEGG database shows metabolic pathway with the maximum number of genes (1,384) and with P -value, 2.11E-6 and enrichment score, 13.07 as shown in the two-dimensional scatter plot; (D) Nodose ganglion transcriptome shows metabolic state dependent changes as revealed in principal component analysis (PCA) plot. The changes are more prominent in the non-fasted group compared to fasted and feeding groups; (E) Nodose ganglion transcriptome shows diet dependent changes as revealed in principal component analysis (PCA) plot. The changes are more prominent in male mice fed with 60% high fat diet for four weeks compared to female mice fed with 60% high fat diet for four weeks or mice fed with regular chow. Data are mean ± SEM (B). P values by two-way RM ANOVA with Geisser-Greenhouse correction and Šídák’s multiple comparisons test (B, upper panel), and unpaired t test two-tailed (B, lower panel) are shown. Source data are provided in NCBI Gene Expression Omnibus (GEO) under accession number GSE281091 (C–E) and (B).

Article Snippet: The RNA sequencing data were deposited to the National Center for Biotechnology Information (NCBI) Gene Expression Omnibus (GEO) as GSE281091 .

Techniques: RNA Sequencing, RNA sequencing, Two Tailed Test, Gene Expression

Journal: Pharmacological Reviews

Article Title: Adhesion G protein-coupled receptors

doi: 10.1016/j.pharmr.2026.100116

Figure Lengend Snippet: Overview of gene expression of aGPCRs across human cell types obtained by single-cell RNA sequencing data from solid tissues and bulk RNA sequencing data from sorted blood collected by the Human Protein Atlas (HPA) consortium. Note that (1) cell types are grouped primarily by function, not by tissue, (2) ubiquitous cell types, such as endothelial cells lining vessels, appear only once, although present in many tissues, (3) organs contain various cell types and can appear in multiple categories (eg, liver: hepatocytes and cholangiocytes under “specialized epithelial cells” and Kupffer cells under “immune cells”), (4) hard-to-isolate cells, such as osteocytes and chondrocytes, are not covered in this list, (5) enucleated cells/cell fragments, like red blood cells and platelets, are not included, although they may express aGPCRs, and (6) data represent healthy adult tissues. Normalized transcripts per million (nTPM) values represent the number of transcripts detected for a given gene. The size of the dot depends on the nTPM value (cutoff value of ≥ 4). Each data point represents gene expression and does not distinguish between transcript variants. ADGRE4 , and ADGRF2 are currently considered as pseudogenes in humans; however, transcripts originating from both loci have been reported. See and .

Article Snippet: Overview of gene expression of aGPCRs across human cell types obtained by single-cell RNA sequencing data from solid tissues and bulk RNA sequencing data from sorted blood collected by the Human Protein Atlas (HPA) consortium.

Techniques: Gene Expression, Single Cell, RNA Sequencing

Journal: JID Innovations

Article Title: The human Flower isoform hFWE4 facilitates cornification in cutaneous squamous cell carcinoma

doi: 10.1016/j.xjidi.2026.100468

Figure Lengend Snippet: FWE KO dysregulates cornification and lamellar body–related gene expression in cSCC xenografts. ( a ) Volcano plot representing differential expression analysis of bulk RNA sequencing of hFWE WT (n = 12) and KO (n = 11) SCC-13 xenografts. Genes implicated in lamellar body function or cornification are annotated. ( b ) GO:BP and GO:CC analysis on differentially downregulated genes in hFWE- KO SCC-13 xenografts. ( c ) Representative immunofluorescence for KLK5 in hFWE WT and KO SCC-13 xenografts (bar = 500 μm and 50 μm [inset]). ( d ) Quantification of percentage tumor area KLK5 positive (mean ± SEM) in hFWE WT and KO SCC-13 xenografts (n = 6, 2-tailed unpaired t -test, ∗∗ P < .01). cSCC, cutaneous squamous cell carcinoma; GO:BP, gene ontology biological process; GO:CC; gene ontology cellular component; KO, knockout; WT, wild-type.

Article Snippet: Bulk RNA-sequencing data are available at the National Center for Biotechnology Information Gene Expression Omnibus under the accession number GSE314399 ( https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE314399 ).

Techniques: Gene Expression, Quantitative Proteomics, RNA Sequencing, Immunofluorescence, Knock-Out