2014
DOI: 10.1093/nar/gku502
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A DNA-binding-site landscape and regulatory network analysis for NAC transcription factors inArabidopsis thaliana

Abstract: Target gene identification for transcription factors is a prerequisite for the systems wide understanding of organismal behaviour. NAM-ATAF1/2-CUC2 (NAC) transcription factors are amongst the largest transcription factor families in plants, yet limited data exist from unbiased approaches to resolve the DNA-binding preferences of individual members. Here, we present a TF-target gene identification workflow based on the integration of novel protein binding microarray data with gene expression and multi-species p… Show more

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Cited by 85 publications
(76 citation statements)
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“…ABF3 is a bZIP master regulator of ABA signaling that controls ABRE-dependent gene expression (16), GBF3 is a bZIP factor that binds G-box motifs (25), and AFP3 interacts with the bZIP protein ABI5 to fine-tune the ABA response (24). NAP, an NAC TF associated with stress and senescence (26,27), controls the expression of ABSCISIC ALDEHYDE OXIDASE3 (AAO3), an enzyme that catalyzes the final steps of ABA synthesis (28), and thereby may contribute further to ABA accumulation (Fig. 6).…”
Section: Discussionmentioning
confidence: 99%
“…ABF3 is a bZIP master regulator of ABA signaling that controls ABRE-dependent gene expression (16), GBF3 is a bZIP factor that binds G-box motifs (25), and AFP3 interacts with the bZIP protein ABI5 to fine-tune the ABA response (24). NAP, an NAC TF associated with stress and senescence (26,27), controls the expression of ABSCISIC ALDEHYDE OXIDASE3 (AAO3), an enzyme that catalyzes the final steps of ABA synthesis (28), and thereby may contribute further to ABA accumulation (Fig. 6).…”
Section: Discussionmentioning
confidence: 99%
“…This process of assigning functions to the predicted target genes proves useful for genes for which little functional information is available. Assessing the functional coherence of target genes is an alternative manner to validate regulatory interactions and is based on the idea that genes that are part of the same biological pathway are regulated by similar sets of TFs (Marbach et al, 2012;Lindemose et al, 2014).…”
Section: Discussionmentioning
confidence: 99%
“…Therefore, as an alternative to using TF perturbation in a single condition, we sought potential target genes that show functional coherence, a sign of bona fide regulated genes. False positive potential target genes will not show functional coherence with other potential target genes, in contrast to genuine regulated genes (Lindemose et al, 2014). To delineate functionally coherent subsets of bound genes per TF, the enrichment of potential targets was determined in 1563 functional gene modules (Heyndrickx and Vandepoele, 2012).…”
Section: Construction Of An Experimental Arabidopsis Gene Regulatory mentioning
confidence: 99%
“…HOT regions show reduced p values compared with the non-HOT regions, which can be explained by the necessity to retain binding sites for more TFs than Because of their function, bound regions are also often conserved across species, which is the premise of genome-wide studies of conserved noncoding sequences (CNSs). We determined the fraction of bound regions exhibiting conservation within the crucifers (Haudry et al, 2013) and within the dicot lineage (Van de Velde et al, 2014) based on overlap with CNSs. Overall, CNSs supported 35 and 29% of the 24,898 bound regions in the crucifer and dicot data, and 15% are supported in both sets.…”
Section: Population Sequence Diversity and Conservation Of Bound Dnamentioning
confidence: 99%
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