Project description:Aging is a major, yet unmodifiable, risk factor for cardiovascular disease, leading to vascular alterations, increased cardiac fibrosis, and inflammation, all of which contribute to impaired cardiac function. To investigate the spatial impact of aging, we applied an integrative approach combining single-nucleus RNA sequencing and spatial transcriptomics in 12-week-old and 18-month-old mice. We systematically mapped the aging heart and identified larger vessel-associated niches as key hotspots for activated macrophages and fibroblasts in aged hearts. These niches, surrounding arteries, were also enriched in senescent cells. Our findings suggest that the microenvironment around the vasculature is particularly susceptible to age-related changes and serves as a primary site for inflammation-driven aging so called \"inflammaging\". This study provides new insights into how aging reshapes cardiac cellular architecture, highlighting vessel-associated niches as potential therapeutic targets for age-related cardiac dysfunction.
Project description:Cancer cells display highly heterogeneous and plastic states in glioblastoma, an incurable brain tumour. However, how these malignant states arise and whether they follow defined cellular trajectories across tumours is poorly understood. Here, we generated a deep single cell and spatial multi-omic atlas of human glioblastoma that pairs transcriptomic, epigenomic and genomic profiling of 12 tumours across multiple regions. Please cite De Jong et al., bioRxiv 2025 upon use. This submission contains the Space Ranger output bundles from Visium spatial transcriptomic sequencing (10x Genomics), including paired high-resolution H&E tissue images, for each of the 97 Visium sections generated as part of the GBM-space atlas. See README_spaceranger.md. We also include integrated single cell and spatial anndata representations of all spatial transcriptomic data from our 97 Visium sections. Feature types include gene expression, cell state abundances, spatial niche abundances, and histopathological annotations for each spatial tissue location. See README_visium_anndata.md.
Project description:Single-cell RNAseq (scRNAseq) and paired VDJ analysis and spatial transcriptomics, we create the first comprehensive cell atlas of the healthy developing, paediatric and adult human gut, including 347,980 cells from up to 10 distinct anatomical sites. We use this data to trace the cellular composition of the gut throughout life, define novel cell markers and cell-cell interactions. We find four neuronal cell populations in the developing enteric nervous system, with expression patterns indicative of irritable bowel syndrome and Hirschsprung’s disease, and identify key cell players and communication networks initiating lymphoid structure formation in early human development.
Project description:Two primary and two post-radiotherapy recurrent glioblastoma tumors derived in the RCAS/Nestin-Tv-a mouse model were processed using the 10x Genomics Visium Spatial Gene Expression v1 chemistry.
Project description:This data is from healthy skin tissue and has been used as a reference to compare diseased datasets. The dataset is from experiments of spatial transcriptomics.