Project description:We investigate if the differences in phenotype and transcriptome over age might be explained by an underlying change on the epigenetic level. We performed single-cell ATAC sequencing using the 10x Chromium platform. We profiled 4838 nuclei prepared from 3 young liver tissues and 3361 nuclei from 3 old liver tissues.
Project description:We investigate if the differences in phenotype and transcriptome over age might be explained by an underlying change on the epigenetic level. We performed single-cell ATAC sequencing using the 10x Chromium platform. We profiled 2259 nuclei prepared from 3 young liver tissues and 2490 nuclei from 3 old liver tissues.
Project description:This dataset contains single nucleus Assay for Transposase-Accessible Chromatin (ATAC) sequencing results from rat nucleus accumbens tissue. Rats received repeated cocaine injections (20mg/kg, intraperitoneal injection), or saline injections as a control. Single-nucleus ATAC-seq was carried out with FACS-sorted nuclei using the 10X Genomics Chromium single cell sequencing platform using the Chromium Next GEM Single Cell ATAC Kit v2.
Project description:Liver fibrosis is a major cause of death worldwide. As a progressive step in chronic liver disease, fibrosis is almost always diagnosed too late with limited treatment options. Here, we uncover the spatial transcriptional landscape driving human liver fibrosis using single nuclei RNA and Assay for Transposase-Accessible Chromatin (ATAC) sequencing to deconvolute multi-cell spatial transcriptomic profiling in human liver cirrhosis.Through multi-modal data integration,we define molecular signatures driving cell state transitions in liver disease and define an impaired cellular response and directional trajectory from hepatocytes to cholangiocytes associated with disease remodelling.We identifypro-fibrogenic signatures in non-parenchymal cell subpopulations co-localised within the fibrotic niche and localise transitional cell states at the scar interface. This combined approach providesa spatial atlas of gene regulation and defines molecular signatures associated liver diseasefor targeted therapeutics or as early diagnostic markers of progressive liver disease. This is the 10X Visium data for the work.
Project description:Liver fibrosis is a major cause of death worldwide. As a progressive step in chronic liver disease, fibrosis is almost always diagnosed too late with limited treatment options. Here, we uncover the spatial transcriptional landscape driving human liver fibrosis using single nuclei RNA and Assay for Transposase-Accessible Chromatin (ATAC) sequencing to deconvolute multi-cell spatial transcriptomic profiling in human liver cirrhosis.Through multi-modal data integration,we define molecular signatures driving cell state transitions in liver disease and define an impaired cellular response and directional trajectory from hepatocytes to cholangiocytes associated with disease remodelling.We identifypro-fibrogenic signatures in non-parenchymal cell subpopulations co-localised within the fibrotic niche and localise transitional cell states at the scar interface. This combined approach providesa spatial atlas of gene regulation and defines molecular signatures associated liver diseasefor targeted therapeutics or as early diagnostic markers of progressive liver disease. This is the snRNA-seq data for the work.
Project description:Liver fibrosis is a major cause of death worldwide. As a progressive step in chronic liver disease, fibrosis is almost always diagnosed too late with limited treatment options. Here, we uncover the spatial transcriptional landscape driving human liver fibrosis using single nuclei RNA and Assay for Transposase-Accessible Chromatin (ATAC) sequencing to deconvolute multi-cell spatial transcriptomic profiling in human liver cirrhosis.Through multi-modal data integration,we define molecular signatures driving cell state transitions in liver disease and define an impaired cellular response and directional trajectory from hepatocytes to cholangiocytes associated with disease remodelling.We identifypro-fibrogenic signatures in non-parenchymal cell subpopulations co-localised within the fibrotic niche and localise transitional cell states at the scar interface. This combined approach providesa spatial atlas of gene regulation and defines molecular signatures associated liver diseasefor targeted therapeutics or as early diagnostic markers of progressive liver disease. This is the snATAC-seq data for the work.
Project description:Liver fibrosis is a major cause of death worldwide. As a progressive step in chronic liver disease, fibrosis is almost always diagnosed too late with limited treatment options. Here, we uncover the spatial transcriptional landscape driving human liver fibrosis using single nuclei RNA and Assay for Transposase-Accessible Chromatin (ATAC) sequencing to deconvolute multi-cell spatial transcriptomic profiling in human liver cirrhosis.Through multi-modal data integration,we define molecular signatures driving cell state transitions in liver disease and define an impaired cellular response and directional trajectory from hepatocytes to cholangiocytes associated with disease remodelling.We identifypro-fibrogenic signatures in non-parenchymal cell subpopulations co-localised within the fibrotic niche and localise transitional cell states at the scar interface. This combined approach providesa spatial atlas of gene regulation and defines molecular signatures associated liver diseasefor targeted therapeutics or as early diagnostic markers of progressive liver disease. This is the 10X Visium data for the work.
Project description:Here, we used joint single-nuclei RNA-sequencing (snRNA-seq) and single-nuclei ATAC sequencing (scATAC) to profile freshly isolated crypts from the human fetal intestine and matched intestinal epithelial only organoids (also known as enteroids) derived from these crypts after one passage of in vitro growth. Organoids were grown in the standard 25% LWRN media with either 100 ng/ml of EGF or 1 ng/ml of EREG added. Fresh crypts were not placed in culture but rather immediately frozen for multiomic processing.
Project description:We develop a large-scale single-cell ATAC-seq method (txci-ATAC-seq) by combining Tn5-based pre-indexing with 10X Genomics barcoding. Leveraging this molecular hashing strategy, we demonstrate that txci-ATAC-seq enables the indexing of up to 200,000 nuclei across multiple samples in a single emulsion reaction, representing a ~22-fold increase in throughput compared to the standard workflow at the same collision rate. To improve the multiplexing capability of this new technique, we further develop a "phased" protocol variant (Phased-txci-ATAC-seq) that effectively decouples sample processing from library preparation and has the potential to profile up to 96 samples simultaneously. In this study, we profile 449,953 nuclei across diverse tissues, including the human cortex, mouse brain, human lung, mouse lung, mouse liver, and lung tissue from a club cell secretory protein knockout (CC16-/-) model. Our study of CC16-/- nuclei uncovers previously underappreciated technical artifacts derived from remnant 129 mouse strain genetic material, which cause profound cell-type-specific changes in regulatory elements near many genes, thereby confounding the interpretation of this commonly referenced mouse model.
