Project description:Transcriptomes of monkey primary visual cortex at the single-cell resolution. The dataset includes all cell types, including both glia and neurons.
Project description:The goal of this study is to understand the effect of microbiota on the cell frequencies and gene expression in the colon. To achieve that we performed single cell sequencing of colon epithelium and lamina propria cells from germ-free (GF) and specific pathogen free (SPF) mice
Project description:We performed single-cell RNA sequencing of dorsal forebrain organoids at day 53 of differentiation upon treatment with Hyper-IL-6. The study aimed at investigation of the effects of Hyper-IL-6 on transcriptional profiles of dorsal forebrain organoids at single-cell level.
Project description:Single cell RNA sequencing was performed to allow expression-based identification of tumor versus normal cells from glioblastoma patient specimens. Identified tumor cells were then analyzed to assess the expression tumor-cell specific expression of TRIM26, WWP2, and SOX2.
Project description:Single-cell RNA-sequencing (scRNA-seq) data was generated from colonic tissue from Hsp60Δ/ΔIEC and Hsp60fl/fl mice at day 8 enriched in intestinal epithelial cells (IECs).
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:The vertebrate ectoderm gives rise to a variety of cell lineages, including neural, neural crest, placodal and non-neural cell fates. How cell fates are specified at the neural plate border (the region surrounding the neural plate) is not fully understood. We therefore carried out 10x scRNAseq of the chick epiblast to investigate cell fate specification at the neural plate border. Embryos were dissected and pooled according to stage. The tissue was then dissociated and FAC sorted to remove dead cells and remaining doublets before cells were stored in MeOH. Due to the time required to dissect embryos, multiple rounds of collections were carried out, with collections from the same stage pooled prior to 10x sequencing. Libraries were sequenced using an Illumina HiSeq 4000 at the Francis Crick Institute, London. This collection was a follow up to E-MTAB-10408.
Project description:The goal of this study is to understand the effect of microbiota on the cell frequencies and gene expression in the small intestine . To achieve that we performed single cell sequencing of small intestine epithelium and lamina propria cells from germ-free (GF) and specific pathogen free (SPF) mice
Project description:To comprehensively profile cell types in the human retina, we performed single cell RNA-sequencing on 20,009 cells obtained post-mortem from three donors and compiled a reference transcriptome atlas. Using unsupervised clustering analysis, we identified 18 transcriptionally distinct clusters representing all known retinal cells: rod photoreceptors, cone photoreceptors, Müller glia cells, bipolar cells, amacrine cells, retinal ganglion cells, horizontal cells, retinal astrocytes and microglia.