CRX ChIP-seq reveals the cis-regulatory architecture of mouse photoreceptors
- Joseph C. Corbo1,6,
- Karen A. Lawrence1,
- Marcus Karlstetter2,
- Connie A. Myers1,
- Musa Abdelaziz1,
- William Dirkes1,
- Karin Weigelt3,
- Martin Seifert4,
- Vladimir Benes5,
- Lars G. Fritsche2,
- Bernhard H.F. Weber2 and
- Thomas Langmann2
- 1 Washington University School of Medicine;
- 2 Institute of Human Genetics, Regensburg, Germany;
- 3 Erasmus Medical Center, Rotterdam, The Netherlands;
- 4 Genomatix GmbH, Munich, Germany;
- 5 European Molecular Biology Organization, Heidelberg, Germany
- * Corresponding author; email: jcorbo{at}pathology.wustl.edu
Abstract
Approximately 98% of mammalian DNA is non-coding, yet we understand relatively little about the function of this enigmatic portion of the genome. The cis-regulatory elements that control gene expression reside in non-coding regions and can be identified by mapping the binding sites of tissue-specific transcription factors. Cone-rod homeobox (CRX) is a key transcription factor in photoreceptor differentiation and survival, but its in vivo targets are largely unknown. Here we used ChIP-Seq on CRX to identify thousands of cis-regulatory regions around photoreceptor genes in adult mouse retina. CRX directly regulates downstream photoreceptor transcription factors and their target genes via a network of spatially distributed regulatory elements around each locus. CRX-bound regions act in a synergistic fashion to activate transcription and contain multiple CRX binding sites which interact in a spacing- and orientation-dependent manner to fine-tune transcript levels. CRX ChIP-Seq was also performed on Nrl-/- retinas which represent an enriched source of cone photoreceptors. Comparison with the wild-type ChIP-Seq dataset identified numerous rod- and cone-specific CRX-bound regions as well as many shared elements. Thus, CRX combinatorially orchestrates the transcriptional networks of both rods and cones by coordinating the expression of photoreceptor genes including most retinal disease genes. In addition, this study pinpoints thousands of non-coding regions of relevance to both Mendelian and complex retinal disease.
Footnotes
- Copyright © 2010, Cold Spring Harbor Laboratory Press











