Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA281050 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Identification of post-transcriptional regulatory networks during myeloblast-to-monocyte differentiation transition [mRNA]
| PRJNA281006 | ENA
Project description:Early stem cell differentiation programmes are tightly controlled by coordinated pre- and post-transcriptional regulatory networks. In this study, we investigate and characterise miRNA networks responsible for the post-translational gene regulation in early differentiation in both female and male mouse embryonic stem cells. We obtained miRNA-Seq and RNA-Seq profiles of male and female cells from day 0 (D0; 2i) to days 4, 10, 20 and 30. Interestingly, we observed a significant difference in gene expression profiles between females and males, both in terms of identity of regulated genes and of temporal characteristics. Similarly, we observed differences between miRNA species playing significant regulatory roles in female and male cells.
2018-12-31 | GSE77691 | GEO
Project description:Early stem cell differentiation programmes are tightly controlled by coordinated pre- and post-transcriptional regulatory networks. In this study, we investigate and characterise miRNA networks responsible for the post-translational gene regulation in early differentiation in both female and male mouse embryonic stem cells. We obtained miRNA-Seq and RNA-Seq profiles of male and female cells from day 0 (D0; 2i) to days 4, 10, 20 and 30. Interestingly, we observed a significant difference in gene expression profiles between females and males, both in terms of identity of regulated genes and of temporal characteristics. Similarly, we observed differences between miRNA species playing significant regulatory roles in female and male cells.
2018-12-31 | GSE77690 | GEO
Project description:MicroRNAs (miRNAs, miRs) modulate a multitude of cellular events. Here, we identify functional miRNA-protein networks that regulate human monocyte-derived dendritic cell (MDDC) differentiation. MiRNA profiling revealed stage-specific differential expression of 20 miRNAs during days 1, 3 and 5 of MDDC differentiation. To identify and prioritize miRNA-protein networks for functional validation, we developed a target ranking algorithm that incorporates many features of miRNA regulatory networks. This system prioritized miR-21, miR-34a, and their cognate targets WNT1 and JAG1 for functional validation. Inhibition of both miR-21 and miR-34a stalled MDDC differentiation, as quantified by DC-SIGN/CD14 expression ratios, showing cooperative involvement of these miRNAs in MDDC differentiation. We confirmed that the 3â UTRs of WNT1 and JAG1 were functional targets of these miRNAs and provide evidence that these targets were translationally suppressed. Significantly, exogenously added Wnt-1 and Jagged-1 also stalled MDDC differentiation, suggesting that miRNA mediated inhibition of endogenous WNT1 and JAG1 expression was important for proper MDDC differentiation. Finally, inhibition of miR-21 and miR-34a, or addition of Wnt-1 and Jagged-1 led to a decrease in endocytic capacity, a key function of immature DCs. Thus, our novel approach identified and validated some miRNA-protein networks involved in phenotypic and functional MDDC differentiation. monocytes were cultured with GM-CSF and IL-4 for the indicated days (0,1, 3, and 5). Each timepoint was repeated in 3 independent donors (donor 1 , 2, and 3).
2010-06-19 | E-GEOD-15644 | 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:MicroRNAs (miRNAs, miRs) modulate a multitude of cellular events. Here, we identify functional miRNA-protein networks that regulate human monocyte-derived dendritic cell (MDDC) differentiation. MiRNA profiling revealed stage-specific differential expression of 20 miRNAs during days 1, 3 and 5 of MDDC differentiation. To identify and prioritize miRNA-protein networks for functional validation, we developed a target ranking algorithm that incorporates many features of miRNA regulatory networks. This system prioritized miR-21, miR-34a, and their cognate targets WNT1 and JAG1 for functional validation. Inhibition of both miR-21 and miR-34a stalled MDDC differentiation, as quantified by DC-SIGN/CD14 expression ratios, showing cooperative involvement of these miRNAs in MDDC differentiation. We confirmed that the 3’ UTRs of WNT1 and JAG1 were functional targets of these miRNAs and provide evidence that these targets were translationally suppressed. Significantly, exogenously added Wnt-1 and Jagged-1 also stalled MDDC differentiation, suggesting that miRNA mediated inhibition of endogenous WNT1 and JAG1 expression was important for proper MDDC differentiation. Finally, inhibition of miR-21 and miR-34a, or addition of Wnt-1 and Jagged-1 led to a decrease in endocytic capacity, a key function of immature DCs. Thus, our novel approach identified and validated some miRNA-protein networks involved in phenotypic and functional MDDC differentiation.
2009-04-15 | GSE15644 | GEO
Project description:Emerging evidence suggests that microRNAs (miRNAs), an abundant class of ~22-nt small regulatory RNAs, play key roles in controlling the post-transcriptional genetic programs in stem and progenitor cells. Here we systematically examined miRNA expression profiles in various adult tissue-specific stem cells and their differentiated counterparts. These analyses revealed miRNA programs that are common or unique to blood, muscle, and neural stem cell populations and miRNA signatures that mark the transitions from self-renewing and quiescent stem cells to proliferative and differentiating progenitor cells. Moreover, we found a stem/progenitor transition miRNA (SPT-miRNA) signature that predicts the effects of genetic perturbations, such as loss of PTEN and the Rb family, AML-ETO expression, and MLL-AF10 transformation, on self-renewal, proliferation, and/or differentiation potentials of mutant stem/progenitor cells. More importantly, some SPT-miRNAs can control rate of self-renewal in embryonic stem cells and the reconstitution potential of hematopoietic stem cells (HSCs). Finally, we found that some SPT-miRNAs may coordinately regulate genes that are known to play roles in controlling HSC self-renewal, such as Hoxb6 and Hoxa4. Together, these analyses revealed the miRNA programs that control key processes in normal and aberrant stem and progenitor cells, setting the foundations for dissecting post-transcriptional regulatory networks in stem cells. We used a multiplex protocol to amplify miRNAs from 20-1000 sorted stem and/or progenitor cells and then analyzed the expression of 425 mature miRNAs using TaqMan miRNA quantitative PCR analyses
2011-03-21 | E-GEOD-28036 | biostudies-arrayexpress
Project description:The biological impact of microRNAs is determined by their targets, and robustly identifying direct miRNA targets remains challenging. Existing methods suffer from high false-positive rates and are unable to effectively differentiate direct miRNA targets from downstream regulatory changes. Here, we present a simple approach to deconvolute post-transcriptional and transcriptional changes using PRO-seq with RNA-seq. In combination, these methods allow us to systematically profile the regulatory impact of a miRNA. We refer to this approach as CARP: Combined Analysis of RNA-seq and PRO-seq. We apply CARP to multiple miRNAs and show that it robustly distinguishes direct targets from downstream changes, while greatly reducing false positives. We validate our approach using Argonaute eCLIP-seq and ribosome profiling, demonstrating that CARP defines a comprehensive repertoire of targets. We identify miRNA-specific activity of target sites within the coding region. CARP facilitates the dissection of complex changes in gene regulatory networks triggered by miRNAs and identification of transcription factors that underlie downstream regulatory changes. Given the robustness of the approach, CARP is particularly suitable for dissecting miRNA regulatory networks in vivo.
2020-08-07 | GSE142898 | GEO
Project description:The biological impact of microRNAs is determined by their targets, and robustly identifying direct miRNA targets remains challenging. Existing methods suffer from high false-positive rates and are unable to effectively differentiate direct miRNA targets from downstream regulatory changes. Here, we present a simple approach to deconvolute post-transcriptional and transcriptional changes using PRO-seq with RNA-seq. In combination, these methods allow us to systematically profile the regulatory impact of a miRNA. We refer to this approach as CARP: Combined Analysis of RNA-seq and PRO-seq. We apply CARP to multiple miRNAs and show that it robustly distinguishes direct targets from downstream changes, while greatly reducing false positives. We validate our approach using Argonaute eCLIP-seq and ribosome profiling, demonstrating that CARP defines a comprehensive repertoire of targets. We identify miRNA-specific activity of target sites within the coding region. CARP facilitates the dissection of complex changes in gene regulatory networks triggered by miRNAs and identification of transcription factors that underlie downstream regulatory changes. Given the robustness of the approach, CARP is particularly suitable for dissecting miRNA regulatory networks in vivo.
2020-08-07 | GSE142897 | GEO