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:Here, we used single cell RNA-sequencing (scRNA-seq) to profile the difference of the CD45 positive cells subgroups infiltrating in MC38-Bap1-Wildtype and MC38-Bap1-Knockout tumor microenvironment on the 10th day of tumor growth in C57BL/6 mice. Additionally, we used scRNA-seq to profile differential gene expression of CD8 T cells and the difference of related signal.
Project description:The cerebral cortex comprises diverse excitatory and inhibitory neuron subtypes, each with distinct laminar positions and connectivity patterns. Yet, the molecular logic underlying their precise wiring remains poorly understood. To identify ligand–receptor (LR) interactions involved in cortical circuit assembly, we tracked gene expression dynamics across major neuronal populations at 17 developmental stages using single-cell transcriptomics. This generated a comprehensive atlas of LR-mediated communication between excitatory and inhibitory neuron subtypes, capturing known and novel interactions. Notably, we identify neogenin-1 as the principal receptor for Cbln4 during the perinatal period, mediating synapse formation between somatostatin-expressing interneurons and glutamatergic neurons. We also identify cadherin superfamily members as candidate regulators of perisomatic inhibition onto deep and superficial excitatory neurons by parvalbumin-expressing basket cells, with opposing effects on synapse formation. These findings suggest a context-dependent role for cadherins in synaptic specificity and underscore the power of single-cell transcriptomics for decoding molecular mechanisms of cortical wiring.
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:Mice are cancer-prone, whereas naked mole-rats are cancer-resistant. To test the discrepancies between how mouse and naked mole-rat skin responds to carcinogens, we topically treated animals with DMBA followed by TPA. In this dataset, we additionally perform single-cell RNA-seq on back skin in mice treated exclusively with TPA as a control.
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: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.