Identifying Gene Regulatory Networks in Arabidopsis by In Silico Prediction, Yeast-1-Hybrid, and Inducible Gene Profiling Assays.
Journal Article (Journal Article)
A system-wide understanding of gene regulation will provide deep insights into plant development and physiology. In this chapter we describe a threefold approach to identify the gene regulatory networks in Arabidopsis thaliana that function in a specific tissue or biological process. Since no single method is sufficient to establish comprehensive and high-confidence gene regulatory networks, we focus on the integration of three approaches. First, we describe an in silico prediction method of transcription factor-DNA binding, then an in vivo assay of transcription factor-DNA binding by yeast-1-hybrid and lastly the identification of co-expression clusters by transcription factor induction in planta. Each of these methods provides a unique tool to advance our understanding of gene regulation, and together provide a robust model for the generation of gene regulatory networks.
Full Text
Duke Authors
Cited Authors
- Sparks, EE; Benfey, PN
Published Date
- January 2016
Published In
Volume / Issue
- 1370 /
Start / End Page
- 29 - 50
PubMed ID
- 26659952
Electronic International Standard Serial Number (EISSN)
- 1940-6029
International Standard Serial Number (ISSN)
- 1064-3745
Digital Object Identifier (DOI)
- 10.1007/978-1-4939-3142-2_3
Language
- eng