Project description:The aim of this study is to describe the transcriptome of single arthritic cells. .
This dataset contains all the data available for this study on 2020-01-15.
Project description:Single-cell genomics and single-cell transcriptomics have recently emerged as powerful tools to study the biology of single cells at a genome-wide scale. Here we describe a method that allows the integration of genomic DNA and mRNA sequencing from the same cell. We use this method to correlate DNA copy number variation to transcriptome variability among individual cells.
Project description:In this study, we performed single-cell transcriptional profiling of human embryonic and fetal gut samples obtained from 9 human embryos spanning ages 6-10 PCW and three regions (duo-jejunum, ileum and colon). Additionally, we profile mucosal biopsies from the terminal ileum of healthy children aged 4-12 years (n = 8) as well as a group of children newly diagnosed with Crohn’s disease (CD) (n = 7), a common form of IBD. Tissue samples were treated using an enzymatic dissociation protocol and single cell suspensions were then processed using the 3’v2 10x Genomics Chromium workflow. In a subset of samples, the intestinal epithelial cell fraction was enriched by performing magnetic bead sorting for EPCAM. In total, we generate single cell transcriptomes of ~90,000 primary human intestinal cells providing a rich resource and detailed roadmap. Using this data as well as scRNAseq profiles of human fetal gut derived organoids we describe embryonic and fetal epithelium composition, trace their differentiation dynamics and signaling partners, and provide links to regenerating Crohn’s disease epithelium.
Project description:The objective of this study was the assessment of transcriptional dysregulation in particular with regard to B-cell differentiation factors. Most studies focus on cross-section analyses of various leukemia subtypes to identify differentially regulated genes lacking suitable reference models. Here we applied comparative intraindividual transcriptome analysis of B-precursor ALL of childhood, which introduces a side-by-side analysis of leukemic cells and matched normal lymphoblasts from the same individual in complete continuous remission after the end of re-induction therapy. This approach reduces noise by eliminating interindividual variability. Comparative matched pair analysis of (single sorted) initial leukemia and single sorted lymphoblasts isolated from the same individual, n=4 pairs, reference samples are the single sorted normal lymphoblasts. Please note that there are sorted samples form only three of the patients. Due to experimental circumstances, a "sorted" sample from the last patient was not included.
Project description:Single-cell nucleosome, methylome and transcriptome (scNMT) sequencing is a recently developed method that allows multiomics profiling of single cells. In this scNMT protocol, we describe profiling of cells from mouse brain and pancreatic organoids, using liquid handling platforms to increase throughput from 96-well to 384-well plate format. Our approach miniaturizes reaction volumes and incorporates the latest Smart-seq3 protocol to obtain a higher number of detected genes and genomic DNA (gDNA) CpG sites per cell. We outline normalization steps to optimally distribute per-cell sequencing depth.
Project description:T-cell acute lymphoblastic leukemia (T-ALL) is a genetically highly heterogeneous disease, and numerous genetic aberrations in the leukemic genome are responsible for the biological and clinical differences among particular ALL subtypes. However, there is limited knowledge about the association of whole genome copy number abnormalities (CNAs) in childhood T-cell ALL with the course of leukemia and outcome. The aim of study was identification the pattern of whole genome CNAs in 86 newly diagnosed childhood T-ALL using a high-density single-nucleotide polymorphism (SNP) array.A series of bone marrow aspirates from 86 children with newly diagnosed T-ALL were analysed prior to any oncological treatment.
Project description:The aim of this study is to describe expression changes related to the metastatic behavior of PCa cells after siRNA-mediated knockdown of PRK1.
Project description:Pancreatic islet cells derived from human pluripotent stem cells hold great promise for modeling and treating diabetes. Differences between stem cell-derived and primary islets remain, but molecular insights to inform improvements are limited. Here, we acquire single-cell transcriptomes and accessible chromatin profiles during in vitro islet differentiation and from primary childhood and adult pancreas for comparison. We delineate major cell types, define their regulomes, and describe spatiotemporal regulatory relationships between transcription factors. CDX2 emerged as a regulator of enterochromaffin-like cells, which we show resemble a previously unrecognized, transient CDX2-expressing β-cell-related population in fetal pancreas, arguing against a non-pancreatic origin as proposed. Furthermore, we observe insufficient activation of signal-dependent transcriptional programs during in vitro β-cell maturation and identify sex hormones as drivers of childhood β-cell proliferation. Altogether, our analysis provides a comprehensive understanding of cell fate acquisition in stem cell-derived islets and a framework for manipulating cell identities and maturity.
Project description:In order to more accurately discover the cause of drug resistance in tumor treatment, and to provide a new basis for precise treatment.
Therefore, based on the umbrella theory of precision medicine, we carried out this single-center, prospective, and observational study to include patients with liver metastases from colorectal cancer. By combining genome, transcriptome, and proteomic sequencing data, we established a basis for colorectal cancer liver Transfer the multi-omics data of the sample, describe the reason for the resistance of the first-line treatment, and search for new therapeutic targets.