Ontology highlight
ABSTRACT:
PROVIDER: PRJNA557158 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Fragile X Syndrome (FXS) is a neurodevelopmental disorder caused by epigenetic silencing of FMR1 and loss of FMRP expression. Here we describe the establishment of an isogenic human pluripotent embryonic stem cell model of FXS. Using CRISPR/Cas9 to introduce indels in exon 3 of FMR1 and result in complete loss of FMRP (FMR1KO). We show that FMRP-deficient neurons exhibit a number of phenotypic abnormalities including neurite outgrowth and branching deficits and impaired electrophysiological network activity as measured by multi-electrode arrays. RNA-Seq analysis of FMRP-deficient neurons revealed transcriptional dysregulation in pathways related to neurodevelopment, neurotransmission, and the cell cycle
2020-06-09 | PXD011445 | Pride
Project description:Fragile X Syndrome (FXS) is a neurodevelopmental disorder caused by epigenetic silencing of FMR1 and loss of FMRP expression. Here we describe the establishment of an isogenic human pluripotent embryonic stem cell model of FXS. Using CRISPR/Cas9 to introduce indels in exon 3 of FMR1 and result in complete loss of FMRP (FMR1KO). We show that FMRP-deficient neurons exhibit a number of phenotypic abnormalities including neurite outgrowth and branching deficits and impaired electrophysiological network activity as measured by multi-electrode arrays. RNA-Seq and proteome analysis of FMRP-deficient neurons revealed transcriptional dysregulation in pathways related to neurodevelopment, neurotransmission, and the cell cycle.
2020-06-18 | PXD011630 | Pride
Project description:Mitochondrial trifunctional protein deficiency, due to mutations in hydratase subunit A (HADHA), results in sudden infant death syndrome (SIDS) with no cure. To reveal the disease etiology, we generated stem cell-derived cardiomyocytes from HADHA-deficient hiPSCs and accelerated their maturation via a novel, engineered MicroRNA Maturation Cocktail (MiMaC) that upregulated the epigenetic regulator, HOPX. Fatty acid challenged MiMaC treated HADHA mutant cardiomyocytes manifested the disease phenotype: defective calcium dynamics and repolarization kinetics which resulted in a pro-arrhythmic state. Single cell RNA-seq revealed a novel cardiomyocyte developmental intermediate, based on metabolic gene expression. This intermediate gave rise to mature-like cardiomyocytes in control cells but, mutant cells transitioned to a pathological state with reduced fatty acid beta-oxidation (FAO), reduced mitochondrial proton gradient, disrupted cristae structure and defective cardiolipin remodeling. This study reveals that TFPa/HADHA, a MLCL-AT-like enzyme, is required for FAO and cardiolipin remodeling, essential for functional mitochondria in human cardiomyocytes.
2019-08-26 | ST001246 | MetabolomicsWorkbench
Project description:Gene expression (RNA-seq) and H3K27me3 binding (ChIP-seq) profiling of wild type and Ezh2-deficient mouse lung epithelium. Lungs from wild type and Ezh2-deficient mice (Ezh2 deletion is specific to lung epithelium) were collected at day e16.5. Lung cells were separated into epithelial and stromal populations based on EpCAM expression. Epithelial cells were profiled for both gene expression (Total RNA-seq) and H3K27me3 binding (ChIP-seq). Additionally, stromal cells were also profiled for gene expression.
2015-05-11 | E-GEOD-57393 | biostudies-arrayexpress
Project description:The main goal of the project is to develop a new generation of bioinformatics resources for the integrative analysis of multiple types of 'omics data. These resources include both novel statistical methodologies as well as user-friendly software implementations. STATegra methods address many aspects of the 'omics data integration problem such as the design of multi-omics experiments, integrative transcriptional and regulatory networks, integrative variable selection, data fusion, integration of public domain data, and integrative pathway analysis. To support method development STATegra uses a model biological system, namely the differentiation process of mouse pre-B-cells. The STATegra consortium generated data focused on a critical step in the differentiation of B lymphocytes, which are key components of the adaptive immune system. Transcription factors of the Ikaros family are central to the normal differentiation of B cell progenitors and their expression increases in response to developmental stage-specific signals to terminate the proliferation of B cell progenitors and to initiate their differentiation. In particular, a novel biological system that models the transition from the pre-BI stage to the pre-BII subsequent stage, where B cell progenitors undergo growth arrest and differentiation, was used. The approach involves a pre-B cell line, B3, and an inducible version of the Ikaros transcription factor, Ikaros-ERt2. Ikaros factors act to down-regulate genes that drive proliferation and to simultaneously up-regulate the expression of genes that promote the differentiation of B cell progenitors. Hence, in the B3 system, before induction of Ikaros, cells proliferate and their gene expression pattern is similar to proliferating B cell progenitors in vivo. Following Ikaros induction, B3 cells undergo gene expression changes that resemble those that occur in vivo during the transition from cycling to resting pre-B cells, followed by a marked reduction in cellular proliferation and by G1 arrest. On this system the consortium has created a high-quality data collection consisting of a replicated time course using seven different 'omics platforms: RNA-seq, miRNA-seq, ChIP-seq, DNase-seq, Methyl-seq, proteomics and metabolomics, which is used to assess and to validate STATegra methods. The STATegra experimental design consists of a 6 point time course that captures the differentiation of B3 cells containing Ikaros-ERt2 upon Ikaros induction within a 24 hr period. The process was sampled at 0, 2, 6, 12, 18, and 24 hrs respectively after Ikaros induction by Tamoxifen. As control, B3 cells transfected with an empty vector were treated and sampled in the same way as the inducible line. Eight different 'omic technologies were measured on this system: RNA-seq, miRNA-seq, DNase-seq, RRBS-seq, ChIP-seq, scRNA-seq, Proteomics and Metabolomics. Generally, three biological replicates were obtained per platform and were processed as independent batches. Metabolomics analysis was performed using 4 biological batches (7, 8, 9 and 10) and at times 0, 2, 6, 12, 18 and 24 hrs respectively. Each sample was analyzed using gas chromatography mass spectrometry (GC-MS) and liquid chromatography mass spectrometry (LC-MS).
2016-12-15 | MTBLS283 | MetaboLights
Project description:Characterisation of EZH2-deficient human embryonic stem cells [single cell RNA-seq]
| PRJNA322291 | ENA
Project description:This data set was downloaded from MetaboLights (http://www.ebi.ac.uk/metabolights/) accession number MTBLS283 Abstract:Study Description "The main goal of the project is to develop a new generation of bioinformatics resources for the integrative analysis of multiple types of 'omics data. These resources include both novel statistical methodologies as well as user-friendly software implementations. STATegra methods address many aspects of the 'omics data integration problem such as the design of multi-omics experiments, integrative transcriptional and regulatory networks, integrative variable selection, data fusion, integration of public domain data, and integrative pathway analysis. To support method development STATegra uses a model biological system, namely the differentiation process of mouse pre-B-cells. The STATegra consortium generated data focused on a critical step in the differentiation of B lymphocytes, which are key components of the adaptive immune system. Transcription factors of the Ikaros family are central to the normal differentiation of B cell progenitors and their expression increases in response to developmental stage-specific signals to terminate the proliferation of B cell progenitors and to initiate their differentiation. In particular, a novel biological system that models the transition from the pre-BI stage to the pre-BII subsequent stage, where B cell progenitors undergo growth arrest and differentiation, was used. The approach involves a pre-B cell line, B3, and an inducible version of the Ikaros transcription factor, Ikaros-ERt2. Ikaros factors act to down-regulate genes that drive proliferation and to simultaneously up-regulate the expression of genes that promote the differentiation of B cell progenitors. Hence, in the B3 system, before induction of Ikaros, cells proliferate and their gene expression pattern is similar to proliferating B cell progenitors in vivo. Following Ikaros induction, B3 cells undergo gene expression changes that resemble those that occur in vivo during the transition from cycling to resting pre-B cells, followed by a marked reduction in cellular proliferation and by G1 arrest. On this system the consortium has created a high-quality data collection consisting of a replicated time course using seven different 'omics platforms: RNA-seq, miRNA-seq, ChIP-seq, DNase-seq, Methyl-seq, proteomics and metabolomics, which is used to assess and to validate STATegra methods. The STATegra experimental design consists of a 6 point time course that captures the differentiation of B3 cells containing Ikaros-ERt2 upon Ikaros induction within a 24 hr period. The process was sampled at 0, 2, 6, 12, 18, and 24 hrs respectively after Ikaros induction by Tamoxifen. As control, B3 cells transfected with an empty vector were treated and sampled in the same way as the inducible line. Eight different 'omic technologies were measured on this system: RNA-seq, miRNA-seq, DNase-seq, RRBS-seq, ChIP-seq, scRNA-seq, Proteomics and Metabolomics. Generally, three biological replicates were obtained per platform and were processed as independent batches. Metabolomics analysis was performed using 4 biological batches (7, 8, 9 and 10) and at times 0, 2, 6, 12, 18 and 24 hrs respectively. Each sample was analyzed using gas chromatography mass spectrometry (GC-MS) and liquid chromatography mass spectrometry (LC-MS)."
2018-08-07 | MSV000082785 | GNPS
Project description:RNA-seq of ATF7ip-deficient T cells
| PRJNA543904 | ENA