Ontology highlight
ABSTRACT:
OTHER RELATED OMICS DATASETS IN: E-GEOD-46621E-GEOD-43865
PROVIDER: PRJNA202212 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR653555.fastq.gz | Fastqsanger.gz | |||
| SRR653556.fastq.gz | Fastqsanger.gz | |||
| SRR653557.fastq.gz | Fastqsanger.gz | |||
| SRR653558.fastq.gz | Fastqsanger.gz | |||
| SRR653559.fastq.gz | Fastqsanger.gz |
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Similar Datasets
Project description:We used the recently developed Excision Repair-sequencing (XR-seq) method to study genome-wide repair of UV-induced DNA damage in Arabidopsis. We found that the repair of cyclobutane pyrimidine dimers for a large fraction of the genome is controlled by the joint actions of the circadian clock and transcription by RNA polymerase II. Arabidopsis has a relatively compact genome, and a large fraction of the genes are controlled by the circadian clock. Our data on the interface of these two global regulatory systems reveal very strong repair preference of the transcribed strands of Arabidopsis genes, 10 to 30% of which are circadian time-dependent. Thus, throughout the day, Arabidopsis exhibits enormous dynamic range in repair to cope with exposure to sunlight.
2018-04-17 | GSE108932 | GEO
Project description:Broadly expressed transcriptions factors (TFs) control tissue-specific programs of gene expression through interactions with local TF networks. Prime examples are the circadian clock TFs CLOCK (CLK) and CYCLE (CYC or BMAL1): while they control a core transcriptional circuit throughout animal bodies, downstream clock target genes and circadian physiology are tissue-specific. Here, we use ChIP-seq to determine the regulatory targets of Drosophila CLK and CYC, which we epitope-tagged by homologous recombination. Both TFs have distinct binding sites in heads versus bodies, suggesting that they directly control tissue-specific downstream target genes. Analysis of these context-specific binding sites revealed distinct sequence motifs for putative clock partner factors, including a motif for the GATA factor SERPENT (SRP). SRP indeed synergistically enhances CLK/CYC-mediated activity of a cis-regulatory region bound by CLK/CYC specifically in bodies. These results reveal how universal clock circuits can generate tissue-specific outputs and demonstrate an approach to dissect regulatory interactions more generally. We sequenced ChIP and input samples, as well as M-bM-^@M-^\mockM-bM-^@M-^] samples for which we performed ChIP with the V5 antibody from wildtype w- flies (not carrying the V5 tag) for two independent biological replicates each, summing to 24 libraries in total.
2013-06-01 | E-GEOD-40467 | biostudies-arrayexpress
Project description:Plants are sessile organisms that have acquired highly plastic developmental strategies to adapt to the environment. Among these processes, the floral transition is essential to ensure reproductive success and is finely regulated by several internal and external genetic networks. The photoperiodic pathway, which controls the plant response to day length, is one of the most important pathways controlling flowering. In Arabidopsis photoperiodic flowering, CONSTANS (CO) is the central gene activating the expression of the florigen FLOWERING LOCUS T (FT) in the leaves at the end of a long day. CO expression is strongly regulated by the circadian clock. However, to date, no evidence has been reported regarding a feedback loop from the photoperiod pathway back to the circadian clock. Using transcriptional networks, we have identified relevant network motifs regulating the interplay between the circadian clock and the photoperiod pathway. Gene expression, chromatin immunoprecipitation experiments and phenotypic analysis allowed us to elucidate the role of CO over the circadian clock. Plants with altered CO expression showed a different internal clock period, measured by daily rhythmic movements in the leaves. We show that CO is able to activate key genes related to the circadian clock, such as CCA1, LHY, PRR5 and GI, at the end of a long day by binding to specific sites on their promoters. Moreover, a significant number of PRR5 repressed target genes are upregulated by CO, and this could explain the phase transition promoted by CO. The CO-PRR5 complex interacts with the bZIP transcription factor HY5 and helps to localize the complex in the promoters of clock genes. Our results indicate that there may be a feedback loop in which CO communicates back to the circadian clock, feeding seasonal information to the circadian system.
2024-01-01 | GSE222657 | GEO
Project description:The plant circadian clock exerts a critical role in the regulation of multiple biological processes including responses to biotic and abiotic stresses. It is estimated that the clock regulates up to 80% of the transcriptome in Arabidopsis, thus understanding the molecular mechanisms that control this rhythmic transcriptome requires identification of the targets of each clock component. The Arabidopsis core clock is partially comprised of a transcriptional regulatory loop between the MYB domain containing transcription factors CIRCADIAN CLOCK ASSOCIATED1 (CCA1) and LATE ELONGATED HYPOCOTYL (LHY), and TIMING OF CAB EXPRESSION1 (TOC1). As a key component of the clock, CCA1 is able to initiate and set the phase of clock-controlled rhythms. CCA1 regulates the transcription of several genes by directly binding to the evening element (EE) motif primarily found in the promoters of evening expressed genes. Using a genome-wide approach we have identified direct targets of CCA1 in plants grown in constant (LL) and driven conditions (LD). These CCA1 targets are enriched for a myriad of biological processes and stress responses. While many of these target genes are evening phased and contain the EE in their promoter regions, a significant subset is morning phased and lack an EE. Furthermore, several CCA1 targets do not cycle in either LL or LD or both. Expression analysis in CCA1 overexpressing plants confirms CCA1 regulation of analyzed targets. Our results emphasize an expanded role for the circadian clock in regulation of key pathways in Arabidopsis, and provide a comprehensive and solid resource for future functional studies. ChIP-Seq of CCA1-GFP plants under control of the CCA1 promoter in continuous light and diel conditions
2015-07-26 | E-GEOD-70533 | biostudies-arrayexpress
Project description:Transposable element products, functions, and regulatory networks in Arabidopsis thaliana
| PRJEB74249 | ENA
Project description:Transposable element products, functions, and regulatory networks in Arabidopsis thaliana
| PRJEB74219 | ENA
Project description:In this data-rich era, the promise of systems biology is to learn gene regulatory networks controlling key agricultural traits. However, validating these networks in crops remains challenging. By integrating gene regulatory network and machine learning, we functionally validated network regulons predicting nitrogen use efficiency (NUE) in Arabidopsis and maize. Our time-course nitrogen response transcriptome analysis uncovered a conserved N-response cascade between maize and Arabidopsis. Using Dynamic Factor Graph, we inferred N-regulated gene regulatory networks (N-GRNs) in maize and validated TF-target interactions for 23 maize TFs with the TARGET, a cell-based TF-perturbation assay. We pruned the N-GRNs by Precision-Recall analysis. Combining these data, we uncovered a previously unknown role for KNOTTED1 in the dynamic N-signaling network. We learned gene-to-NUE trait models across 16 maize varieties using XGBoost trained on N-response genes conserved model-to-crop. Integrating NUE importance scores within our GRN, we ranked maize TFs by their NUENet scores. In a model-to-crop approach, we validated orthologous N-regulated TF-targets for the top-ranked maize NUENet TFs (MYB34/R424 targets) and the orthologous Arabidopsis TF (AtDIV123 targets) using the cell-based TARGET assay. The genes in this orthologous model-to-crop NUENet regulons were superior at predicting NUE traits in XGBoost models learned in both maize and Arabidopsis. Thus, our model-to-crop approach combining GRNs, machine learning, and orthologous network modules offers a strategic framework for crop trait improvement.
2025-05-09 | GSE280343 | GEO
Project description:Background: Identifying the gene regulatory networks governing physiological signal integration remains an important challenge in circadian biology. Epidermal growth factor receptor (EGFR) has been implicated in circadian function and EGFR is expressed in the suprachiasmatic nucleus (SCN), the core circadian pacemaker. The transcription networks downstream of EGFR in the SCN are unknown, but by analogy to other SCN inputs we expect the response to EGFR activation to depend on circadian timing and thus be “circadian context–dependent”. Results: We have undertaken a systems level analysis of EGFR circadian context–dependent signaling in the SCN. We collected gene expression profiles to study how the SCN response to EGFR activation depends on circadian timing. Mixed–model analysis of variance (ANOVA) was employed to identify genes with circadian context–dependent EGFR regulation. The expression data was integrated with transcription factor (TF) binding predictions through gene group enrichment analyses to generate robust hypotheses about TFs responsible for the circadian phase–dependent EGFR responses. Conclusions: The analysis results suggest that the transcriptional response to EGFR signaling in the SCN may be partly mediated by established EGFR signaling regulated TFs (AP1, Ets1), TFs involved in circadian clock entrainment (CREB), and by core clock TFs (Rorα). qRT-PCR measurements of several TF expression levels support a model in which circadian context-dependent EGFR responses are partly achieved by circadian regulation of upstream signaling components. Our study suggests an important role for EGFR signaling in SCN function and provides an example for gaining physiological insights through systems-level analysis. Keywords: dose response; repeat sample
2006-06-21 | GSE4245 | GEO