2012
DOI: 10.1371/journal.pgen.1002446
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A Gene Regulatory Network for Root Epidermis Cell Differentiation in Arabidopsis

Abstract: The root epidermis of Arabidopsis provides an exceptional model for studying the molecular basis of cell fate and differentiation. To obtain a systems-level view of root epidermal cell differentiation, we used a genome-wide transcriptome approach to define and organize a large set of genes into a transcriptional regulatory network. Using cell fate mutants that produce only one of the two epidermal cell types, together with fluorescence-activated cell-sorting to preferentially analyze the root epidermis transcr… Show more

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Cited by 300 publications
(368 citation statements)
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References 87 publications
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“…For each of these paralogous gene pairs, homozygous recessive presumed loss-of-function mutations in one member (try, egl3, or myb23) cause no visible alteration in root epidermis (A) Simplified depiction of the gene regulatory network for Arabidopsis root epidermal cell differentiation. The TRY/CPC, EGL3/GL3, and MYB23/WER transcriptional regulators influence the expression of downstream genes in five distinct branches (Branches 1 to 5), based on their GL2, RHD6, and/or hormone dependence (for details, see Bruex et al, 2012). (B) Root phenotype of single and double mutants affecting the try/cpc, egl3/gl3, or myb23/wer loci.…”
Section: Resultsmentioning
confidence: 99%
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“…For each of these paralogous gene pairs, homozygous recessive presumed loss-of-function mutations in one member (try, egl3, or myb23) cause no visible alteration in root epidermis (A) Simplified depiction of the gene regulatory network for Arabidopsis root epidermal cell differentiation. The TRY/CPC, EGL3/GL3, and MYB23/WER transcriptional regulators influence the expression of downstream genes in five distinct branches (Branches 1 to 5), based on their GL2, RHD6, and/or hormone dependence (for details, see Bruex et al, 2012). (B) Root phenotype of single and double mutants affecting the try/cpc, egl3/gl3, or myb23/wer loci.…”
Section: Resultsmentioning
confidence: 99%
“…To determine whether the single mutants lacking a visible phenotype (try, egl3, and myb23) exhibit transcriptional changes associated with root epidermis cell differentiation, an epidermal green fluorescent protein (GFP) marker, WER:GFP (Lee and Schiefelbein, 1999), was introduced into each mutant by crossing to enable fluorescence-activated cell sorting (FACS)-based enrichment for cells from the developing root epidermis tissue followed by gene expression assays using ATH1 microarray chips (Birnbaum et al, 2005;Bruex et al, 2012 Tusher et al, 2001]; t-statistic > 2.5, q-value < 0.05) exhibited significant overrepresentation for genes known to be preferentially expressed in differentiating root hair cells (a 487 COBL9:GFP-sorted gene set [Brady et al, 2007]; P values: 7.1E-16 [try], 9.4E-7 [egl3], and 0.04 [myb23]) and genes known to be differentially expressed in the root epidermis of hairy versus hairless mutants (a 208-member gene set, designated the "core root epidermal gene set" [Bruex et al, 2012] . A significant number of these differentially expressed genes was affected in more than one of the mutants ( Figure 2D; P value < 0.002 for each two-way and three-way comparison), and the overlapping set of genes are overrepresented for members of the core root epidermal gene set (P value < 0.001; see Supplemental Data Set 1 online).…”
Section: Resultsmentioning
confidence: 99%
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“…A large data set containing millions of tags that map stringently to a well-sequenced and well-annotated genome is likely to be sufficient for an accurate model, at least in the case of NP promoters. We expected that a tissue sample such as the root, with its complex regulatory network (Bruex et al, 2012;Lan et al, 2013), would be enriched for rapidly dividing cells where tissue-specific patterning is taking place, a setting expected to give rise to many sharp NP TSSs, in addition to more broadly distributed gene promoters typically associated with ubiquitously expressed genes.…”
Section: Distinct Patterns Of Transcription Initiation Exist In Plantsmentioning
confidence: 99%
“…For instance, understanding interactions at cellular levels may help in identifying genes and pathways involved in the progression of specific human diseases [33]. Also, understanding how genes regulate themselves in gene regulatory networks may explain how cell differentiation is carried out in living organisms [80,[91][92][93]]. …”
Section: Network Connectivity From Time Seriesmentioning
confidence: 99%