Genomewide identification of ANAC060 binding targets
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ABSTRACT:
ORGANISM(S): Arabidopsis thaliana
PROVIDER: GSE123169 | GEO | 2020/11/01
REPOSITORIES: GEO
Similar Datasets
Project description:Genomewide identification of ANAC060 binding targets
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Project description:Erythroid development and differentiation from multiprogenitor cells to red blood cells requires precise transcriptional regulation. Key erythroid transcription factors, GATA1 and TAL1, co-operate, along with other proteins, to regulate many aspects of this process. How GATA1 and TAL1 are positionally organized with respect to each other and their cognate DNA binding site across the mouse genome remains unclear. We applied high resolution ChIP-exo to GATA1 and TAL1 to study their positional organization across the mouse genome during GATA1-dependent maturation. Two complementary methods, MultiGPS and peak-pairing, were used to determine high confidence binding locations by ChIP-exo. We identified ~10,000 GATA1 and ~15,000 TAL1 locations, which were essentially confirmed by ChIP-seq. Of these, ~4,000 locations were bound by both GATA1 and TAL1. About three-quarters of these were tightly linked (<40 bp away) to a partial E-box located 7-8 bp upstream of a WGATAA motif. Both TAL1 and GATA1 generated distinct characteristic ChIP-exo peaks around WGATAA motifs, that reflect on their positional arrangement within a complex. We show that TAL1 and GATA1 form a precisely organized complex at a compound motif consisting of a TG 7-8 bp upstream of a WGATAA motif across thousands of genomic locations. Genome wide analysis of GATA1 and TAL1 in G1E and G1E-ER4 cells using ChIP-exo experiments
2015-09-17 | E-GEOD-68964 | biostudies-arrayexpress
Project description:To profile in vivo DNA-binding activities of GBF2 in the UPR, we next perform chromatin immunoprecipitation sequencing (ChIP-seq) analyses of GBF2 at 0 h of ER stress recovery (i.e., 6 h of Tunicamycin, an ER stress inducer, treatment or DMSO) using a GBF2 native promoter-driven yellow fluorescent protein for energy transfer (YPet)-tagged GBF2 line (pGBF2:GBF2-YPet). Our analysis pipeline generated 523 Tm sample-specific binding peaks (i.e., not overlapped with peaks found in the corresponding DMSO-treated samples or overlapped with three times higher intensity) of GBF2. Hereafter we refer to these peaks as the UPR-specific binding peaks.
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Project description:The plant circadian clock enables plants to adjust their physiology and modulate their developmental responses in anticipation of diurnal and seasonal changes in environmental conditions. Thus, it makes an important contribution to overall fitness. The complex regulatory network underlying the oscillatory mechanism of the clock is now well characterized, but we still know relatively little about how downstream processes are controlled. In order to investigate this question we identified genes that are under direct control of one of the oscillator components, a MYB transcription factor known as LATE ELONGATED HYPOCOTYL (LHY).
2018-09-13 | GSE103785 | GEO
Project description:The plant circadian enables plants to adjust their physiology and modulate their developmental responses in anticipation of diurnal and seasonal changes in environmental conditions. Thus, it makes an important contribution to overall fitness. The complex regulatory network underlying the oscillatory mechanism of the clock is now well characterised, but we still know relatively little about how downstream processes are controlled. In order to investigate this question we identified genes that are under direct control of one of the oscillator components, a MYB transcription factor known as LATE ELONGATED HYPOCOTYL (LHY).
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Project description:Erythroid development and differentiation from multiprogenitor cells to red blood cells requires precise transcriptional regulation. Key erythroid transcription factors, GATA1 and TAL1, co-operate, along with other proteins, to regulate many aspects of this process. How GATA1 and TAL1 are positionally organized with respect to each other and their cognate DNA binding site across the mouse genome remains unclear. We applied high resolution ChIP-exo to GATA1 and TAL1 to study their positional organization across the mouse genome during GATA1-dependent maturation. Two complementary methods, MultiGPS and peak-pairing, were used to determine high confidence binding locations by ChIP-exo. We identified ~10,000 GATA1 and ~15,000 TAL1 locations, which were essentially confirmed by ChIP-seq. Of these, ~4,000 locations were bound by both GATA1 and TAL1. About three-quarters of these were tightly linked (<40 bp away) to a partial E-box located 7-8 bp upstream of a WGATAA motif. Both TAL1 and GATA1 generated distinct characteristic ChIP-exo peaks around WGATAA motifs, that reflect on their positional arrangement within a complex. We show that TAL1 and GATA1 form a precisely organized complex at a compound motif consisting of a TG 7-8 bp upstream of a WGATAA motif across thousands of genomic locations.
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Project description:The exon junction complex (EJC) is a central effector of mRNAs fate, linking nuclear processing to mRNA transport, translation and surveillance. Little is known about its transcriptome-wide targets. We used high-throughput sequencing after crosslinking and immunoprecipitation (HITS-CLIP) in human cells to identify the binding sites of the DEAD-box helicase eIF4AIII, an EJC core component. CLIP reads form peaks mainly located in spliced mRNAs. Most expressed exons harbour peaks equally distributed between the canonical EJC region ∼24 nucleotides upstream of exonic junctions and other non-canonical regions. Unexpectedly, both are preferentially associated to unstructured and purine-rich sequences containing the motif GAAGA, a potential binding site of EJC-associated factors. Therefore, EJC positions vary spatially and quantitatively between exons. This transcriptome-wide mapping of human eIF4AIII reveals unanticipated aspects of the EJC and broadens its potential impact on post-transcriptional regulation. To identify direct RNA binding sites of the EJC core component eIF4AIII, two biological CLIP-seq replicates were performed in HeLa cells. Additionally, mRNA-seq of the HeLa transcriptome was performed to normalize for the mRNA expression levels.
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