Journal
MOLECULAR SYSTEMS BIOLOGY
Volume 7, Issue -, Pages -Publisher
NATURE PUBLISHING GROUP
DOI: 10.1038/msb.2010.114
Keywords
Arabidopsis; gene regulatory network; miRNA; transcription factor
Categories
Funding
- NSF [0618304, 0805648]
- NIH [P50, DK068429, GM082971]
- UC Davis startup grants
- USDA [ARS 1907-21000-030-00D]
- NSERC PDF
- The Leverhulme Trust
- The Royal Society (UK)
- Direct For Biological Sciences
- Division Of Integrative Organismal Systems [1021619] Funding Source: National Science Foundation
- Direct For Biological Sciences
- Div Of Biological Infrastructure [0805648] Funding Source: National Science Foundation
- Div Of Molecular and Cellular Bioscience
- Direct For Biological Sciences [0618304] Funding Source: National Science Foundation
Ask authors/readers for more resources
Tightly controlled gene expression is a hallmark of multicellular development and is accomplished by transcription factors (TFs) and microRNAs (miRNAs). Although many studies have focused on identifying downstream targets of these molecules, less is known about the factors that regulate their differential expression. We used data from high spatial resolution gene expression experiments and yeast one-hybrid (Y1H) and two-hybrid (Y2H) assays to delineate a subset of interactions occurring within a gene regulatory network (GRN) that determines tissue-specific TF and miRNA expression in plants. We find that upstream TFs are expressed in more diverse cell types than their targets and that promoters that are bound by a relatively large number of TFs correspond to key developmental regulators. The regulatory consequence of many TFs for their target was experimentally determined using genetic analysis. Remarkably, molecular phenotypes were identified for 65% of the TFs, but morphological phenotypes were associated with only 16%. This indicates that the GRN is robust, and that gene expression changes may be canalized or buffered. Molecular Systems Biology 7: 459; published online 18 January 2011; doi:10.1038/msb.2010.114
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available