Project description:Total abdominal colectomy (TAC) with a staged ileal pouch-anal anastomosis (IPAA) is a common surgical treatment for ulcerative colitis (UC). However, a significant percentage of patients experience pouch failure, leading to considerable morbidity. This retrospective case-control study aimed to identify histopathological features of the TAC specimen associated with subsequent pouch failure and to investigate the underlying molecular mechanisms of this susceptibility using single-cell spatial transcriptomics.
2025-02-26 | GSE283625 | GEO
Project description:Brood pouch content in Littorina saxatilis with ciliates
| PRJNA1129337 | ENA
Project description:2b-RAD sequencing of males and females in lined seahorse
Project description:The pathophysiology of Crohn’s-like disease of the pouch (CDP) that develops after restorative proctocolectomy with ileal pouch-anal anastomosis (IPAA) for ulcerative colitis (UC) is unknown. We examined mucosal cells from patients with and without CDP using single cell analyses.
Project description:This repository contains raw and processed targeted spatial transcriptomics data generated from cerebral cortex sections of APP23^het transgenic and wild-type mice at 13 and 24 months of age, as well as human Alzheimer’s disease cortical tissue. Spatial profiling was performed using the Molecular Cartography™ platform (Resolve Biosciences), an imaging-based highly multiplexed single-molecule fluorescence in situ hybridization (smFISH) technology. The dataset includes raw transcript coordinate files, as well as cell segmentation outputs generated by the platform’s segmentation algorithm. Both segmentation-free (transcript-based) and segmentation-based spatial analyses were performed. These data were used to investigate age-dependent immune cell composition and spatial enrichment of T-cell phenotypes in amyloid plaque-associated regions, as described in the associated manuscript. Detailed experimental procedures, gene panels, preprocessing steps, normalization, clustering, and spatial analysis methods are provided in the Methods section of the publication.
Project description:Spatial localization is a key determinant of cellular fate and behavior, but spatial RNA assays traditionally rely on staining for a limited number of RNA species. In contrast, single-cell RNA-seq allows for deep profiling of cellular gene expression, but established methods separate cells from their native spatial context. Here we present Seurat, a computational strategy to infer cellular localization by integrating single-cell RNA-seq data with in situ RNA patterns. We applied Seurat to spatially map 851 single cells from dissociated zebrafish (Danio rerio) embryos, inferring a transcriptome-wide map of spatial patterning. We confirmed Seurat’s accuracy using several experimental approaches, and used it to identify a set of archetypal expression patterns and spatial markers. Additionally, Seurat correctly localizes rare subpopulations, accurately mapping both spatially restricted and scattered groups. Seurat will be applicable to mapping cellular localization within complex patterned tissues in diverse systems. We generated single-cell RNA-seq profiles from dissociated cells from developing zebrafish embryos (late blastula stage - 50% epiboly)
Project description:Single-cell single-molecule spatial transcriptomics using CosMx on colectomy specimens collected during Pouch surgery in IBD patients.
