Similar Datasets
Project description:Genome-wide mapping of SHORT LIFE (SHL) binding sites in Arabidopsis thaliana
| PRJNA412462 | ENA
Project description:A total of 2,356 genes were identified as EBS target loci by ChIP-seq
2018-07-20 | GSE104368 | GEO
Project description:We performed a tranascriptomic analysis of Ler, ebs and shl-2 plants in order to reveal targets whose transcription is regulated by EBS and SHL. The analysis was performed in WT plants (Ler), as well as mutants plants in which the expression of EBS and SHL was previously shown to be null, namely ebs and shl-2 mutant. To perform this study, plants were grown for 18 days under short days (SD) conditions (8h light, 16h darkness) in MS solid media. Three independent biological samples were hybridized separately.
2014-10-14 | E-GEOD-33270 | biostudies-arrayexpress
Project description:Brassinosteroids (BRs) are important regulators for plant growth and development. BRs signal to control the activities of the BES1 and BZR1 family transcription factors. In order to further understand the mechanism by which BES1/BZR1 regulates downstream genes, we performed chromatin immunoprecipitation coupled with tiling arrays (ChIP-chip) to identify BES1 binding sites in the genome. By combining ChIP-chip data with gene expression microarray data, we are able to discover genes that are directly regulated by BES1 (i.e. BES1 target genes).
2011-01-02 | GSE24684 | GEO
Project description:Brassinosteroids (BRs) are important regulators for plant growth and development. BRs signal to control the activities of the BES1 and BZR1 family transcription factors. In order to further understand the mechanism by which BES1/BZR1 regulates downstream genes, we performed chromatin immunoprecipitation coupled with tiling arrays (ChIP-chip) to identify BES1 binding sites in the genome. By combining ChIP-chip data with gene expression microarray data, we are able to discover genes that are directly regulated by BES1 (i.e. BES1 target genes). Chromatin from bes1-D Arabidopsis seedlings are immunoprecipitated by anti-BES1 antibody with anti-GFP antibody as control.
2011-01-02 | E-GEOD-24684 | biostudies-arrayexpress
Project description:Alternative splicing can enhance transcriptome plasticity and proteome diversity. In plants, alternative splicing can be manifested at different developmental stages, and is frequently associated with specific tissue types or environmental conditions such as abiotic stress. We mapped the Arabidopsis transcriptome at single-base resolution using the Illumina platform for ultrahigh-throughput RNA sequencing (RNA-seq). Deep transcriptome sequencing confirmed a majority of annotated introns and identified thousands of novel alternatively spliced mRNA isoforms. Our analysis suggests that at least approximately 42% of intron-containing genes in Arabidopsis are alternatively spliced; this is significantly higher than previous estimates based on cDNA/expressed sequence tag sequencing. Random validation confirmed that novel splice isoforms empirically predicted by RNA-seq can be detected in vivo. Novel introns detected by RNA-seq were substantially enriched in nonconsensus terminal dinucleotide splice signals. Alternative isoforms with premature termination codons (PTCs) comprised the majority of alternatively spliced transcripts. Using an example of an essential circadian clock gene, we show that intron retention can generate relatively abundant PTC(+) isoforms and that this specific event is highly conserved among diverse plant species. Alternatively spliced PTC(+) isoforms can be potentially targeted for degradation by the nonsense mediated mRNA decay (NMD) surveillance machinery or regulate the level of functional transcripts by the mechanism of regulated unproductive splicing and translation (RUST). We demonstrate that the relative ratios of the PTC(+) and reference isoforms for several key regulatory genes can be considerably shifted under abiotic stress treatments. Taken together, our results suggest that like in animals, NMD and RUST may be widespread in plants and may play important roles in regulating gene expression.
| S-EPMC2798830 | biostudies-literature
Project description:We performed a tranascriptomic analysis of Ler, ebs and shl-2 plants in order to reveal targets whose transcription is regulated by EBS and SHL.
2014-10-14 | GSE33270 | GEO
Project description:Using a transgenic line expressing HA-tagged ATAF1 uncovered >400 ChIP-seq peaks in ATAF1-HA plants compared to Col-0 wild-type plants. Only a small sub-set of the candidate peaks could be verified using ChIP-qpcr or EMSA. Among the verified peaks we uncovered the key ABA biosynthetic gene NCED3 as a target of ATAF1
2014-01-01 | GSE43637 | GEO
Project description:To understand how GTL1 regulates cell growth, we first identified its potential direct targets by the chromatin immunoprecipitation followed by the hybridization on an Affymetrix Arabidopsis Tiling 1.0R array (ChIP-chip). To enrich the genomic region bound by GTL1 in vivo, we harvested whole aerial parts of 12-day-old gtl1-1 plants complemented with the pGTL:GTL1:GFP constructs and immunoprecipitated the chromatin fragments associated with GTL1-GFP proteins using antibodies against GFP. After applying a cut-off P-values of 0.001of MAT (Model-based analysis of tiling array), we identified a total number of 3,900 putative immediate target genes that showed consistent binding by GTL1.
2013-08-01 | GSE40519 | GEO
Project description:The specificity of protein-protein interactions is encoded in those parts of the sequence that compose the binding interface. Therefore, understanding how changes in protein sequence influence interaction specificity, and possibly the phenotype, requires knowing the location of binding sites in those sequences. However, large-scale detection of protein interfaces remains a challenge. Here, we present a sequence- and interactome-based approach to mine interaction motifs from the recently published Arabidopsis thaliana interactome. The resultant proteome-wide predictions are available via www.ab.wur.nl/sliderbio and set the stage for further investigations of protein-protein binding sites. To assess our method, we first show that, by using a priori information calculated from protein sequences, such as evolutionary conservation and residue surface accessibility, we improve the performance of interface prediction compared to using only interactome data. Next, we present evidence for the functional importance of the predicted sites, which are under stronger selective pressure than the rest of protein sequence. We also observe a tendency for compensatory mutations in the binding sites of interacting proteins. Subsequently, we interrogated the interactome data to formulate testable hypotheses for the molecular mechanisms underlying effects of protein sequence mutations. Examples include proteins relevant for various developmental processes. Finally, we observed, by analysing pairs of paralogs, a correlation between functional divergence and sequence divergence in interaction sites. This analysis suggests that large-scale prediction of binding sites can cast light on evolutionary processes that shape protein-protein interaction networks.
| S-EPMC3471968 | biostudies-literature