Project description:Use of single-cell transcriptomics to test early HD selective vulnerability by comparing CTRL and HD telencephalic organoids at day 45 and 120 of differentiation. To test the influence and the interactions between healthy and HD cells, chimeric organoids composed of CTRL and HD cells juxtaposed within the same organoid were grown and analyzed by scRNAseq at day 120.
Project description:We used the scRNA-seq to establish a comprehensive molecular cell atlas of the healthy canine lung, expanding our knowledge of lung cell subpopulations in dogs, and providing the molecular foundation for investigating lung cell identities and functions in lung diseases across species.
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:We performed single cell RNA sequencing (scRNA-seq) of human fetal duodenal tissue samples from a single individual biological specimen at 70 days post-conception (DPC). The data set is composed of cells from diverse intestinal lineages. Lineages captured include epithelium, mesenchyme, immune, neurons, and endothelium. These data were used to specifically interrogate the development and emergence of mesenchymal lineages during human development. This data was combined with previously published data from our lab (E-MTAB-9489, E-MTAB-10187, and E-MTAB-9906) to generate an scRNA-seq database of human small intestinal development.
Project description:To further explore the transcriptional changes in the kidney transplant biopsy at time of rejection, scRNAseq analysis was performed on 16 kidney transplant biopsy-derived cells using 10X Genomic technology.
Project description:Here, we used single cell RNA-sequencing (scRNA-seq) to profile 13-week post-conception distal human fetal lung explants cultured in an air liquid interface system and treated with an LGR5 ectodomain adenovirus that inhibits R-Spondin function or control adenovirus. A third, non-infected, condition was also sequenced. We also performed scRNA-seq on distal human fetal lung tissue from an 8.4-week post-conception biological specimen. Diverse cell lineages were captured in all data sets, and include epithelium, mesenchyme, immune, neurons, and endothelium.
Project description:This study contains single cell RNA-seq of the non-small cell lung cancer line HCC827 in three conditions. Firstly we have sequenced the RNA of single cells of a culture of HCC827 cells grown in normal conditions (POT). In our study we then evolved two arms of the cell line, one in the presence of the drug gefitinib (40nM, G1) and the other in the presence of trametinib (100nM, T4) in HYPERflasks to avoid replating. These data were analysed using cellRanger using GRCh38. Output from cellRanger was filtered for a minimum number of detected genes and UMIs. Mitochondrial reads were excluded from analysis (Acar_2020_single_cell_raw_data.txt). The data was then imported and scaled using the package Seurat. Scaled data was then filtered for low expression of housekeeping genes. Additionally genes expressed in fewer than 20 cells were excluded from analysis. Data was then renormalised using linear normalisation and scaling on the filtered raw data (Acar_2020_single_cell_processed_data.txt). Principal component analysis was run on variable genes identified using Seurat and the top 44 component were used as input for t-SNE analysis. Clusters were then identified using FindClusters in Seurat (Acar_2020_single_cell_metadata.txt). For a full description see the associated publication.
Project description:Here, we performed single-cell RNA sequencing (scRNA-seq) of a human fetal jejunum tissue sample from 1 individual biological specimen age 40 weeks post conception. The data set is composed of cells from diverse intestinal lineages.
Project description:Here, we performed single cell RNA sequencing (scRNA-seq) of human fetal ileum tissue samples from 3 individual biological specimens ages 11.4, 14.4, and 18.9 weeks post conception. The data set is composed of over 16,000 cells from diverse intestinal lineages.