Journal: medRxiv

Article Title: Multi-Omics Integrative Analysis of the Aspirin-Gut-Brain-Glioma Axis: Transcriptomic, Proteomic, Epigenetic, Mendelian Randomization, and Single-Cell Transcriptomic Evidence Converges on NEO1/Hepcidin Iron Reprogramming and Ferroptosis Vulnerability

doi: 10.64898/2026.06.01.26354602

Figure Lengend Snippet: (A) UMAP visualization of malignant GBM cells colored by inferred cell state (MES = mesenchymal, 76.4%; AC = astrocyte-like; OPC = oligodendrocyte progenitor-like; NPC = neural progenitor-like) based on Neftel 2019 meta-module gene signatures. (B) Dot plot showing the expression of 16 iron metabolism and ferroptosis genes across cell states. Dot size represents the percentage of cells expressing each gene; color intensity represents the mean log-normalized expression. (C) Ferroptosis vulnerability score (15 driver genes − 20 suppressor genes) across cell states. MES exhibited the highest vulnerability (−0.400 vs. AC −0.526, OPC −0.493, NPC −0.492; all P<0.001). Universally negative scores reflect dominant GPX4/SLC7A11 suppressor expression. (D) Single-cell NEO1 vs. HAMP correlation (Spearman ρ = +0.27, P = 0.135). The lack of significant correlation at the transcriptional level is consistent with the protein-level mode of NEO1/BMP/HAMP signaling regulation.

Article Snippet: To validate our bulk transcriptomic findings at single-cell resolution and assess the heterogeneity of iron metabolism gene expression across GBM malignant cell states, we analyzed single-cell RNA-seq data from 28 GBM patients (GSE131928, Neftel et al. [ ]), comprising 15,112 cells profiled by 10X Genomics.

Techniques: Expressing, Single Cell

Journal: bioRxiv

Article Title: Spatiotemporal analysis of autism gene enrichment implicates cortex, thalamus, and hypothalamus

doi: 10.64898/2026.05.14.724487

Figure Lengend Snippet: A) A UMAP plot is generated from the single-cell data, processed by the STAR-MAPS framework. Cells are colored by dissected brain region. B) The same UMAP, colored by cell-type label from the initial description of the dataset. C) A heatmap showing the degree of enrichment for 185 ASD-associated genes in the cells from Panels A and B, in data corrected for sample, batch, and developmental stage. Shade represents the magnitude of positive odds ratios; stars represent the P-value.

Article Snippet: Bhaduri et al . also describes 10X Genomics Chromium single-cell RNA-seq data but from eleven individual brains in the second trimester (12-23 PCW).

Techniques: Generated, Single Cell

Journal: Frontiers in Immunology

Article Title: The inhibitory effect of hepatic cancer energy metabolism on immune checkpoint therapy: perspectives from single-cell multi-omics analysis

doi: 10.3389/fimmu.2026.1753670

Figure Lengend Snippet: Single-cell analysis of HCC TME and hepatocyte metabolic reprogramming. (A) UMAP dimensionality reduction plot showing 22 initial cell clusters. (B) Annotation of 7 major cell populations based on established marker genes. (C) Expression patterns of CD274 (PD-L1) and CTLA4 in various cell types before and after immunotherapy. (D) Cellular composition across samples. Sample H68 exhibits the highest proportion of Hepatocytes. (E) UMAP plot of hepatocyte subclustering analysis based on metabolic-related gene expression profiles, identifying 5 subpopulations (clusters 0-4). Cluster 1 is significantly enriched in post-treatment samples. (F) KEGG pathway enrichment analysis reveals functional clustering of hepatocyte subpopulations (clusters 0-4). (G) Hierarchical clustering of significantly enriched pathways within these clusters. (H) Expression patterns of core genes within the Pyruvate metabolism pathway across the five hepatocyte subpopulations. Genes in this pathway exhibit significantly elevated expression in Cluster 1.

Article Snippet: Integrated single-cell RNA-seq data (GEO, Mendeley) were analyzed using Seurat, AUCell, pySCENIC, CellChat, and Monocle.

Techniques: Single-cell Analysis, Marker, Expressing, Gene Expression, Functional Assay