2020_CES_singlecell_ATAC - samples
Ontology highlight
ABSTRACT:
PROVIDER: EGAD00001005965 | EGA |
REPOSITORIES: EGA
Similar Datasets
Project description:ATAC-seq data for 26 CLL samples (7 controls, 19 tumor) of the CancerEpiSys-PRECiSe project.
| EGAD00001005967 | EGA
Project description:long RNA data for 27 CLL samples (8 controls, 19 tumor) of the CancerEpiSys-PRECiSe project.
| EGAD00001005968 | EGA
Project description:ChIPseq data for 31 CLL samples (12 controls, 19 tumor) of the CancerEpiSys-PRECiSe project; containing histone H3, histone modifications and transcription factor binding sites (CTCF, EBF1).
| EGAD00001005969 | EGA
Project description:WGBS data for 75 paired fastq, spread over 31 samples (4 healthy T-cell, 7 healthy B-cell, 20 B-cell CLL tumors) of the CancerEpiSys-PRECiSe project.
| EGAD00001005970 | EGA
Project description:Tagged-WGBS for 3 Naive B Cell samples of the CancerEpiSys-PRECiSe project.
| EGAD00001005966 | EGA
Project description:Our project is based on the hypothesis that ibrutinib could interfere with chronic lymphocytic leukemia (CLL) microenvironment, modulating the immune response. The aim of the project is to understand if and how ibrutinib modifies the tumor microenvironment accessory cells in CLL, specifically nurse like cells (NLC).
2020-09-18 | GSE142292 | GEO
Project description:<p>BACKGROUND: Single ventricle congenital heart disease (SVCHD) is a severe form of cardiac malformation in which there is only one functional ventricle. The Fontan operation is the current standard of care for SVCHD. Almost all patients who have undergone the Fontan operation develop liver fibrosis at a young age, resulting in a condition known as Fontan-associated liver disease (FALD). The pathogenesis and mechanisms underlying FALD remain little understood, hindering development of effective therapies.</p><p>OBJECTIVES: We aimed to present a comprehensive multiomic analysis of human FALD, thereby revealing the fundamental biology and pathogenesis of FALD. </p><p>METHODS: We recently generated a single-cell transcriptomic and epigenomic atlas of human FALD using snRNA-ATAC-seq, which revealed profound metabolic reprogramming in FALD. Here we applied liquid chromatography-mass spectrometry (LC-MS) based untargeted metabolomics to unveil the metabolomic landscape of human FALD, using liver samples/biopsies from age and gender-matched healthy donors and FALD patients (n=12 per group). Extracted liver metabolites were analyzed by C18 high performance liquid chromatography (HPLC) and hydrophilic interaction chromatography (HILIC) followed by high resolution MS on Orbitrap. Statistical and bioinformatics analyses were performed to identify altered metabolites and metabolic pathways in FALD. These results were integrated with recently published snRNA-ATAC-seq and serum metabolomics datasets to present a comprehensive multiomic atlas of FALD. </p><p>RESULTS: We discovered profound metabolic abnormalities in livers of patients with early-stage FALD, particularly amino acid metabolism, peroxisomal fatty acid oxidation, cytochrome P450 system, glycolysis, TCA cycle, ketone body metabolism and bile acids metabolism. Integrated analyses with liver snRNA-ATAC-seq and serum metabolomics data unveiled the transcriptional mechanisms driving this metabolic reprogramming and the crosstalk between liver and the rest of the body. Comparison with human metabolic dysfunction-associated fatty liver disease (MAFLD) and metabolic dysfunction-associated steatohepatitis (MASH) revealed dysregulated amino acid metabolism as a common metabolic abnormality. </p><p>CONCLUSIONS: Our comprehensive multiomic atlas of human FALD reveals the fundamental biology and pathogenesis mechanisms of FALD.</p>
2024-12-13 | MTBLS10782 | MetaboLights
Project description:Chronic lymphocytic leukemia (CLL) is characterized by substantial clinical heterogeneity, despite relatively few genetic alterations. To provide a basis for studying epigenome deregulation in CLL, we established genome-wide chromatin accessibility maps for 88 CLL samples from 55 patients using the ATAC-seq assay, and we also performed ChIPmentation and RNA-seq profiling for ten representative samples. Based on the resulting dataset, we devised and applied a bioinformatic method that links chromatin profiles to clinical annotations. Our analysis identified sample-specific variation on top of a shared core of CLL regulatory regions. IGHV mutation status â which distinguishes the two major subtypes of CLL â was accurately predicted by the chromatin profiles, and gene regulatory networks inferred for IGHV-mutated vs. IGHV-unmutated samples identified characteristic differences between these two disease subtypes. In summary, we found widespread heterogeneity in the CLL chromatin landscape, established a community resource for studying epigenome deregulation in leukemia, and demonstrated the feasibility of chromatin accessibility mapping in cancer cohorts and clinical research. Genome-wide profiling of chromatin states and gene expression levels in 88 CLL samples from 55 individuals gave rise to 88 ATAC-seq profiles, 40 ChIPmentation profiles (10 samples, each with 3 different antibodies and matched immunoglobulin control), and 10 RNA-seq profiles. Raw sequence data has been deposited at the EBI's European Genome-phenome Archive (EGA) under the accession number EGAS00001001821 (controlled access to protect patient privacy).
2016-06-26 | E-GEOD-81274 | biostudies-arrayexpress
Project description:<p>In this study we profile the epigenomic enhancer landscapes of CLL B cells (CD19+/CD5+) harvested from peripheral blood of patients from our Center. Included are results of ChIPseq profiling using chromatin immunoprecipitation of the enhancer histone mark H3K27ac (acetylated lysine 27 on histone H3), and open chromatin profiles using ATAC-seq (assay for transposase accessible chromatin). These profiles are used to define the global enhancer and super enhancer landscape of CLL B cells, and to derive active transcription factor networks associated with this disease. Also included are H3K27ac ChIP-seq and ATAC-seq datasets for non-CLL B cells obtained from the peripheral blood of normal adult donors.</p>
| phs001704 | dbGaP
Project description:Aging is a universal biological phenomenon linked to many diseases, such as cancer or neurodegeneration. However, the molecular mechanisms underlying aging, or how lifestyle interventions such as cognitive stimulation can ameliorate this process, are yet to be clarified. Here, we performed a multi-omic profiling, including RNA-seq, ATAC-seq, ChIP-seq, EM-seq, SWATH-MS and single cell Multiome scRNA and scATAC-seq, in the dorsal hippocampus of young and old mouse subjects which were subject to cognitive stimulation using the paradigm of environmental enrichment. In this study we were able to describe the epigenomic landscape of aging and cognitive stimulation.
2023-09-29 | PXD045567 | Pride