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:Identification of cell types in the interphase between muscle and tendon by Visium Spatial Transcriptomics of four human semitendinous muscle-tendon biopsies. Cell types identified by single nuclei RNA seq on similar tissue were localized in situ with the use of Spatial Transcriptomics.
Project description:Tissue function relies on the precise spatial organization of cells characterized by distinct molecular profiles. Single-cell RNA-Seq captures molecular profiles but not spatial organization. Conversely, spatial profiling assays to date have lacked global transcriptome information, throughput or single-cell resolution. Here, we develop High-Density Spatial Transcriptomics (HDST), a method for RNA-Seq at high spatial resolution. Spatially barcoded reverse transcription oligonucleotides are coupled to beads that are randomly deposited into tightly packed individual microsized wells on a slide. The position of each bead is decoded with sequential hybridization using complementary oligonucleotides providing a unique bead-specific spatial address. We then capture, and spatially in situ barcode, RNA from the histological tissue sections placed on the HDST array. HDST recovers hundreds of thousands of transcript-coupled spatial barcodes per experiment at 2 μm resolution. We demonstrate HDST in the mouse brain, use it to resolve spatial expression patterns and cell types, and show how to combine it with histological stains to relate expression patterns to tissue architecture and anatomy. HDST opens the way to spatial analysis of tissues at high resolution.
Project description:Diabetic foot ulcers (DFUs) are a devastating complication of diabetes. To better understand the molecular mechanisms and cell types implicated in DFU healing, we used NanoString’s GeoMx Digital Spatial profiling platform on DFU tissue sections and compared gene expression of areas within the same ulcer as well as between patients who in 12 weeks following surgery healed their DFU (Healers, N=2) vs those who did not (Non-Healers, N=2).
Project description:Diabetic foot ulcers (DFUs) are a devastating complication of diabetes. In order to identify systemic and local factors associated with DFU healing, we examined the cellular landscape of DFUs by single-cell RNA-seq analysis of foot and forearm skin specimens, as well as PBMC samples, from 10 non-diabetic subjects, and 17 diabetic patients, 11 with, and 6 without DFU. Our analysis shows enrichment of a unique inflammatory fibroblast population in DFU patients with healing wounds. The patients with healing DFUs also depicted enrichment of macrophages with M1 polarization, as opposed to more M2 macrophages in non-healing wounds. These findings were verified using Immunohistochemistry and Spatial Transcriptomics.