E-MTAB-7206
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ABSTRACT:
PROVIDER: E-MTAB-7206 | ExpressionAtlas | 2019-01-16
REPOSITORIES: ExpressionAtlas
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Project description:Raw data from E-MTAB-1585 was normalized by using reads per million. https://www.ebi.ac.uk/arrayexpress/experiments/E-MTAB-1585/ Strand specific RNA-Seq data E-MTAB-1585 was normalized and subtracted control from knockdown to generate tracks that more clearly displayed the unusual pattern of RNA expression caused by knockdown of 7SK. The following wig files were generated from multiple samples (i.e.raw data files), as indicated in the 'readme.txt' file. 7sk_3p_KD_norm.wig: 7SK 3P Knockdown normalized 7sk_3p_KDF_norm.wig: 7SK 3P Knockdown normalized (Forward) 7sk_3p_KDR_norm.wig: 7SK 3P Knockdown normalized (Reverse) 7sk_5p_KD_norm.wig: 7SK 5P Knockdown normalized 7sk_5p_KDF_norm.wig: 7SK 5P Knockdown normalized (Forward) 7sk_5p_KDR_norm.wig: 7SK 5P Knockdown normalized (Reverse) 7sk_Control_norm.wig: 7SK Control normalized 7sk_ControlF_norm.wig: 7SK Control normalized (Forward) 7sk_ControlR_norm.wig: 7SK Control normalized (Reverse) 7sk_3p_KDF-ControlF.wig: 7SK 3P Knockdown-Control (Forward) 7sk_3p_KDR-ControlR.wig: 7SK 3P Knockdown-Control (Reverse) 7sk_5p_KDF-ControlF.wig: 7SK 5P Knockdown-Control (Forward) 7sk_5p_KDR-ControlR.wig: 7SK 5P Knockdown-Control (Reverse)
2013-09-19 | E-GEOD-50860 | biostudies-arrayexpress
Project description:RNA-seq of E14Tg2a cells upon Zic3 knockdown after day1 and day2 of differentiation into epiblast-like stem cells
| PRJEB28630 | ENA
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:A bioenergetic balance between glycolysis and mitochondrial respiration is particularly important for stem cell fate specification. It however remains to be determined whether undifferentiated spermatogonia switch their preference of bioenergy production during differentiation. In this study, we found that ATP generation in spermatogonia was gradually increased upon retinoic acid-induced differentiation. To accommodate this elevated energy demand, retinoic acid signaling concomitantly switched ATP production in spermatogonia from glycolysis to mitochondrial respiration, accompanied by increased levels of reactive oxygen species. In addition, inhibition of glucose conversion to glucose-6-phosphate or pentose phosphate pathway blocked the formation of c-Kit+ differentiating germ cells, suggesting that metabolites produced from glycolysis are required for spermatogonial differentiation. We further demonstrated that the expression levels of several metabolic regulators and enzymes were significantly altered upon retinoic acid-induced differentiation by both RNA-seq analyses and quantitative proteomics. Taken together, our data unveil a critically regulated bioenergetic balance between glycolysis and mitochondrial respiration which is required for spermatogonial proliferation and differentiation.
2021-09-09 | PXD019136 | Pride
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 murine NIH/3T3 cells upon Aldoa knockdown
| PRJNA857647 | ENA
Project description:Purpose: We find that Wnt7a-PAX6 axis determine corneal epithelial cell fate. To obtain global evidence for successful cell fate conversion, we performed gene expression profiling by RNA-seq on CECs, SECs, and LSCs after knocking down PAX6 and on SESCs transduced with PAX6 upon 3-D differentiation. Methods: Under 3-D culture condition, limbal stem cell (LSCs) can be differentiated to Cornea epithelial cells (CECs), and skin epithelial stem cells (SESCs) can be differentiated to skin epithelial cells (SECs). Total RNA was isolated from CECs, SECs, and LSCs after knocking down PAX6 (3-D shPAX6 LSCs) and on SESCs transduced with PAX6 (3-D PAX6+ SESCs) upon 3-D differentiation. Libraries were prepared following published standard protocol (Fox-Walsh K et al., 2011, genomics, 266-71). mRNA profiles were generated by deep sequencing, in duplicate, using Illumina HiSeq 2000. Results: Following optimized decoding and mapping workfollow, we mapped about 5 million sequence reads to the human genome and identified more than 23659 transcripts per sample. Conclusions: Hierarchical clustering analysis of differentially expressed gene signatures revealed that the gene expression pattern of SESCs with PAX6 transduction was strikingly similar to that of CECs, whereas the profile of LSCs with PAX6 knockdown was highly related to that in SECs upon differentiation. These data therefore provided global evidence for a decisive role of the WNT7A/PAX6 axis in cell fate conversion from SESCs to CECs. RNA-seq on CECs, SECs, and LSCs after knocking down PAX6 and on SESCs transduced with PAX6 upon 3-D differentiation, using Illumina HiSeq 2000
2014-07-11 | E-GEOD-54322 | biostudies-arrayexpress
Project description:To define target genes of the intestine-restricted transcription factor (TF) CDX2 in intestinal stem cells, we performed chromatin immunoprecipitation coupled with high-throughput sequencing (ChIP-Seq). We used RNA-sequencing to profile gene expression changes during cell differentiation from mouse intestinal stem cells to mature villus cells, as well as genes perturbed in intestinal stem cells upon loss of Cdx2. We find thousands of genes that change in expression during cell differentiation, including known stem cell and mature markers. Upon loss of Cdx2, hundreds of genes are up and down-regulated in intestinal stem cells, some of which are also bound by CDX2 nearby and constitute candidate direct target genes. CDX2 ChIP-Seq analysis of isolated mouse intestinal stem cells. RNA seq analysis of control mouse villus cells, control intestinal stem cells and Cdx2-deleted intestinal stem cells.
2015-09-15 | E-GEOD-70766 | biostudies-arrayexpress
Project description:Chromatin modifications have been implicated in the self-renewal and differentiation of embryonic stem cells (ESCs). However, the function of histone variant H2A.Z in ESCs remains unclear. We show that H2A.Z is highly enriched at promoters and enhancers and is required for both efficient self-renewal and differentiation of murine ESCs. H2A.Z deposition leads to an abnormal nucleosome structure, decreased nucleosome occupancy and increased chromatin accessibility. In self-renewing ESCs, knockdown of H2A.Z compromises OCT4 binding to its target genes and leads to decreased binding of MLL complexes to active genes and of PRC2 complex to repressed genes in self-renewal of ESCs. During differentiation of ESCs, inhibition of H2A.Z also compromises RA-induced RARα binding, activation of differentiation markers and the repression of pluripotency genes. We propose that H2A.Z mediates such contrasting activities by acting as a 'general facilitator' that generates access for a variety of complexes both activating and repressive. ChIP-Seq in murine embryonic stem (mES) cells for H2A.Z and acetylated H2A.Z. ChIP-Seq of H3K4me3, H3K27me3, RbBP5, SUZ12 and OCT4 for mES cells of both H2A.Z RNAi knockdown and shLuc control. ChIP-Seq of RARalpha in H2A.Z knockdown (withdraw of LIF and exposure to RA for 3h) and control cells. MNase-Seq and chromatin accessibility assay using Benzonase digestion followed by next-generation sequencing for mES cells of both H2A.Z RNAi knockdown and shLuc control. ChIP-Seq of H2A.Z and H3K4me3 for mES cells of both MLL4 RNAi knockdown and shLuc control. RNA-Seq for mES cells of H2A.Z knockdown and shluc control. RNA-Seq for embryonic bodies derived from mES cells (H2A.Z knockdown and shLuc control) at day 3 and day 7.
2012-12-20 | E-GEOD-34483 | biostudies-arrayexpress