Project description:The assay for transposase-accessible chromatin using sequencing (ATAC-seq) is widely used to identify regulatory regions throughout the genome. However, only a few studies have been done at the single cell level (scATAC-seq) due to technical difficulties. Here we developed a simple and robust plate-based scATAC-seq method, combining upfront bulk tagmentation with single-nuclei sorting, to investigate open chromatin regions. We applied this method on mouse splenocytes and unbiasedly revealed key regulatory regions and transcription factors that define each cell (sub)type.
Project description:In this study, we assess technical differences between commonly used single-cell RNA-Sequencing (scRNA-Seq) methods. We perform scRNA-seq on a homogenous population of mouse embryonic stem cells along with two kinds of control spike-in molecules to assess sensitivity and accuracy of these specific methods. In this dataset, we perform Smart-Seq2 method on Fluidigm C1 system and generate single-cell libraries using Nextera XT kit
Project description:In this study, we assess technical differences between commonly used single-cell RNA-Sequencing (scRNA-Seq) methods. We perform scRNA-seq on a homogenous population of mouse embryonic stem cells along with two kinds of control spike-in molecules to assess sensitivity and accuracy of these specific methods. In this dataset, we perform SMARTer method on Fluidigm C1 system and generate single-cell libraries using Nextera XT kit
Project description:In this study, we assess technical differences between commonly used single-cell RNA-Sequencing (scRNA-Seq) methods. We perform scRNA-seq on a homogenous population of mouse embryonic stem cells along with two kinds of control spike-in molecules to assess sensitivity and accuracy of these specific methods. In this dataset, we assess the RNA-degradation and decay rates by subjecting both spike-in molecules to range of repeated freezing and thawing (freeze-thaw) cycles. We manually add spike-in molecules across a 96-well plate (containing cells and reagents), perform Smart-Seq2 method manually and generate single-cell libraries using Nextera XT kit
Project description:In this study, we assess technical differences between commonly used single-cell RNA-Sequencing (scRNA-Seq) methods. We perform scRNA-seq on a homogenous population of mouse embryonic stem cells along with two kinds of control spike-in molecules to assess sensitivity and accuracy of these specific methods. In this dataset, we perform a replicate of Smart-Seq2 method on Fluidigm C1 system and generate single-cell libraries using Nextera XT kit
Project description:In this study, we develop computational tools for assignment of cell-cycle stages from single cell and bulk transcriptome data. We perform bulk RNA-Sequencing for mouse embryonic stem cells with known cell cycle stage.
Project description:BCL11A is upregulated in lung squamous cell carcinoma (LUSC) but not in lung adenocarcinoma (LUAD). BCL11A interacts with SOX2 at protein level. ChIP-Seq experiment was performed for BCL11A and SOX2 in LUSC LK-2 control or BCL11A-KD cell line in order to identify their role in LUSC pathology.
Project description:ChIP-sequencing was performed to explore the difference between the epigenetic profiles of hepatocyte-like cells (HLCs) generated in vitro and primary human hepatocytes (PHHs). HLCs were differentiated from hIPSCs and hESCs for 30 days, as previously reported (Hannan et al, 2013). PHHs were purchased from Biopredic. Chromatin was immunoprecipitated with antibodies against H3K27ac, H3K4me1, H3K27me3 and H3K4me3. Library preparation and sequencing were performed by the Wellcome Trust Sanger Institute DNA Sequencing Facility (Hinxton, UK). Sequencing was performed on an Illumina HiSeq v4 instrument to obtain paired-end reads with 75bp length.
Project description:Hepatocyte nuclear factor 1B (HNF1B) encodes a transcription factor expressed in developing human kidney epithelia. Heterozygous HNF1B mutations are the commonest monogenic cause of dysplastic kidney malformations (DKMs). To understand their pathobiology, we generated heterozygous HNF1B mutant kidney organoids from CRISPR-Cas9 gene-edited human ESCs and iPSCs reprogrammed from a family with HNF1B-asscociated DKMs. Mutant organoids contained enlarged malformed tubules and displayed deregulated cell turnover. This submission contains kidney tissue samples.
Project description:In this study, we assess technical differences between commonly used single-cell RNA-Sequencing (scRNA-Seq) methods. In this dataset, we assess the RNA detection rates using high-throughput 10x Genomics Chromium system. We mix equal volume of Control Brain RNA (3ul; FirstChoice Total Brain RNA; #AM7962) and ERCC spikes (3ul 1:4 dilution; #4456653) to make a '2x Control RNA+ERCC' master mix. The '2x Control RNA+ERCC' master mix is diluted with equal volume nuclease-free water to make '1x Control RNA+ERCC' master mix. 3ul of '1x Control RNA+ERCC' master mix is added to Chromium single cell suspension and processed as per Chromium guidelines. The sample-data relationship format (SDRF) file for this submission contains only a high-level representation of the sample, library and run information per flow cell, and not per cell. For meta-data at the level of individual cells, please refer to the supplementary file called single_cells_list.txt, which is included as part of this ArrayExpress submission.