Related Experiment Video
Updated: Feb 14, 2026

Retroviral Scanning: Mapping MLV Integration Sites to Define Cell-specific Regulatory Regions
Published on: May 28, 2017
Conserved Upstream Regulatory Regions in Mammalian Tyrosine Hydroxylase
Meng Wang1, Lilah Fones1, John W Cave2,3
1Burke Medical Research Institute, 785 Mamaroneck Ave, White Plains, NY, 10605, USA.
Abstract:
Tyrosine hydroxylase (Th) encodes the rate-limiting enzyme in catecholamine biosynthesis, and the regulation of its transcription is critical for the specification and maintenance of catecholaminergic neuron phenotypes. For many genes, regulatory genomic DNA sequences that are upstream of the proximal promoter control expression levels as well as region-specific expression patterns. The regulatory architecture of the genomic DNA upstream of the Th proximal promoter, however, is poorly understood. In this study, we examined the 11 kb upstream nucleotide sequence of Th from nine mammalian species and identified five highly conserved regions. Using cultured human cells and mouse olfactory bulb tissue, chromatin immunoprecipitation (ChIP) assays show that these conserved regions recruit transcription factors that are established regulators of Th transcription (such as NURR1, PITX3, FOXA2, MEIS2, and PAX6). This analysis also identified a conserved binding site for CTCF, and functional studies in cultured human cells and ChIP assays with mouse tissue show that CTCF is a novel regulator of Th transcription in the forebrain. Together, the findings in this study provide key insights into the upstream regulatory genomic architecture and regulatory mechanisms controlling mammalian Th gene transcription.
Related Concept Videos
The Eukaryotic Promoter Region
Cis-regulatory Sequences
Cis-regulatory Sequences
Conservation of Protein Domains Over Different Proteins
A limited set of protein domains often duplicate and recombine during evolution. These domains can be organized in different combinations to...
What is Conservation Biology?
Conserved Binding Sites
Binding sites are often located in large pockets, and if their location on a protein’s surface is unknown, it can be predicted using various approaches. The energetic method computationally...

