Project description:Spatial organization of different cell types within prenatal skin across various anatomical sites is not well understood. To address this, here we have generated spatial transcriptomics data from prenatal facial and abdominal skin obtained from a donor at 10 post conception weeks. This in combination with our prenatal skin scRNA-seq dataset has helped us map the location of various identified cell types.
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.
Project description:We investigated the landscape of non-communicable inflammatory skin diseases by spatial transcriptomics resulting in a large repository of spatially defined human cutaneous transcriptomes of 31 patients.
Project description:We performed spatial transcriptomics on a case series of different clinical subtypes of cutaneous lupus erythematosus including acute cutaneous lupus erythematosus (malar rash, systemic lupus erythematosus). Our goals were to (1) determine which differentially expressed genes (DEGs) could be attributed to specific cell populations in specific locations within the tissue, (2) determine if spatial transcriptomics could better distinguish between CLE clinical subtypes than bulk RNA approaches and (3) examine potential cell-cell communication pathways within the skin lesions.
Project description:These data were used in the spatial transcriptomics analysis of the article titled \\"Single-Cell and Spatial Transcriptomics Analysis of Human Adrenal Aging\\".
Project description:To study the spatial localisations of the cell populations in an early haematopoietic tissue and lymphoid organs critical for T and B cell development, we profiled fetal liver, thymus and spleen from 3 donors at 18 PCW with sequencing-based spatial transcriptomics (10x Genomics Visium).
Project description:These samples are part of a study to provide a spatially resolved single-cell multiomics map of human trophoblast differentiation in early pregnancy. Here we profiled with 10x Visium Spatial transcriptomics of the entire maternal-fetal interface including the myometrium, allowing us to resolve the full trajectory of trophoblast differentiation.
