Project description:To investigate the effecs of commensal papillomavirus immunity on the homeostasis of highly mutated normal skin, spatial transcriptomics (Xenium, 10x Genomics, Pleasanton, CA) was performed on SKH-1 mouse back skin. The mice were treated with mouse papillomavirus (MmuPV1) or virus-like particles (VLP), followed by UV exposure for 25 weeks.
Project description:We developed a method that utilizes floating mounting of thin sections of fixed frozen mouse lung tissue onto Xenium slides for the fluorescent in situ hybridization (FISH) and imaging–based spatial transcriptomics analysis of gene expression using the Xenium platform provided by 10X Genomics. Spatial transcriptomics techniques provide a comprehensive view by merging gene expression data with spatial context within their native tissue architecture. However, the Xenium pipeline has been validated only for formalin-fixed paraffin-embedded (FFPE) and fresh frozen sections by 10X Genomics. Notably, many researchers prefer paraformaldehyde-fixed cryosections for immunohistochemistry and in situ hybridization. In our study, we assessed the compatibility of standard fixed frozen mouse lung sections with the Xenium protocol. Our findings reveal that these sections not only align well with the Xenium platform but also offer superb imaging and gene expression quantification, even with limited number of genes in the Xenium panel. This protocol can serve as a valuable resource for preparing various tissues where FFPE and fresh frozen samples present challenges.
Project description:Skin injuries heal slowly, compared to oral epithelial tissues, and often do not regenerate lost adnexa. Using a murine mouse model expressing the oral epithelial transcription factor PITX1 in the skin, we performed Xenium in situ analysis in healthy and wounded skin and healthy oral mucosa to delineate the cellular and molecular changes underpinning the superior oral wounding response.
Project description:Xenium platform was used for the spatial transcriptomic analysis of human DRG neurons, 100 marker genes were selected as the customized probe panel and hybridized to fresh frozen hDRG sections. Manual segmentation of each neuron soma was performed, based on expressions of pan-neuronal marker gene PGP9.5, satellite glia cell marker FAB7B, and the corresponding H.E. staining. In total, 1340 neurons were identified (excluding 75 region-of-interest with poor or unclear neuronal soma morphology in H & E staining) and clustered into 16 groups. The 16 clusters were assigned as different cell types based on marker genes expression.
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:Our understanding of how human skin cells differ according to anatomical site and tumour formation is limited. To address this we have created a multi-scale spatial atlas of healthy skin and basal cell carcinoma (BCC), incorporating in vivo optical coherence tomography, single cell RNA sequencing, spatial global transcriptional profiling and in situ sequencing. Computational spatial deconvolution and projection revealed the localisation of distinct cell populations to specific tissue contexts. Although cell populations were conserved between healthy anatomical sites and in BCC, mesenchymal cell populations including fibroblasts and pericytes retained signatures of developmental origin. Spatial profiling and in silico lineage tracing support a hair follicle origin for BCC and demonstrate that cancer-associated fibroblasts are an expansion of a POSTN+ subpopulation associated with hair follicles in healthy skin. RGS5+ pericytes are also expanded in BCC suggesting a role in vascular remodelling. We propose that the identity of mesenchymal cell populations is regulated by signals emanating from adjacent structures and that these signals are repurposed to promote the expansion of skin cancer stroma. The resource we have created is publicly available in an interactive format for the research community.
Project description:Our understanding of how human skin cells differ according to body site and tumour formation is limited. To address this we have created a multi-scale spatial atlas of healthy skin and basal cell carcinoma (BCC), incorporating in vivo optical coherence tomography, single cell RNA sequencing, spatial global transcriptional profiling and in situ sequencing. Computational spatial deconvolution and projection revealed the localisation of distinct cell populations to specific tissue contexts. Although cell populations were conserved between healthy anatomical sites and in BCC, mesenchymal cell populations including fibroblasts and pericytes retain signatures of developmental origin. Spatial profiling and in silico lineage tracing support a hair follicle origin for BCC and demonstrate that cancer-associated fibroblasts are an expansion of a POSTN+ subpopulation associated with hair follicles in healthy skin. RGS5+ pericytes are also expanded in BCC suggesting a role in vascular remodelling during cancer neovascularization. Our findings suggest that the identity of mesenchymal cell populations is regulated by signals emanating from adjacent structures and that these signals are repurposed to promote the expansion of skin cancer stroma. The resource we have created is publicly available in an interactive format for the research community.