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The Eukaryotic Promoter Region

The Eukaryotic Promoter Region

The eukaryotic promoter region is a segment of DNA located upstream of a gene. It contains an RNA polymerase binding site, a transcription start site, and several cis-regulatory sequences. The proximal promoter region is located in the vicinity of the gene and has cis-regulatory sequences and the core promoter. The core promoter is the binding site for RNA polymerase and is usually located between -35 and +35 nucleotides from the transcription start site. The distal promoter regions are...

The Eukaryotic Promoter Region

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Cis-regulatory Sequences

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Related Experiment Video

Updated: Jul 7, 2026

In vivo Application of the REMOTE-control System for the Manipulation of Endogenous Gene Expression

In vivo Application of the REMOTE-control System for the Manipulation of Endogenous Gene Expression

Published on: March 29, 2019

Markov chain-based promoter structure modeling for tissue-specific expression pattern prediction.

Alexis Vandenbon¹, Yuki Miyamoto, Noriko Takimoto

¹Department of Medical Genome Sciences, Graduate School of Frontier Sciences, University of Tokyo, 4-6-1 Shirokanedai, Minato-ku, Tokyo 108-8639, Japan.

DNA Research : an International Journal for Rapid Publication of Reports on Genes and Genomes

|February 9, 2008

Summary

This study introduces a novel Markov chain model to identify co-regulated genes by analyzing promoter structures. The model effectively predicts genes with similar expression patterns, aiding in transcriptional regulation research.

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Area of Science:

Computational biology
Genomics
Molecular biology

Background:

Transcriptional regulation is a key mechanism controlling gene expression.
Identifying co-regulated genes is crucial for understanding gene networks.
Existing methods often focus on cis-regulatory site clustering.

Purpose of the Study:

To develop a novel computational model for predicting co-regulated genes based on promoter structure.
To utilize Markov chains to model shared motifs and features within promoter sequences.
To identify candidate genes with similar expression patterns for further experimental validation.

Main Methods:

A Markov chain-based promoter structure model was developed.
The model incorporates positional preference, order, and orientation of motifs.
The model was trained and applied to promoter sequences from Caenorhabditis elegans and Ciona intestinalis.

Main Results:

The model successfully predicted candidate promoters driving similar expression patterns.
Both computational and experimental validations confirmed the model's predictive capability.
High-scoring promoters indicated structural similarity to input sequences, suggesting co-regulation.

Conclusions:

The developed Markov chain model offers a robust approach for predicting co-regulated genes.
This tool can facilitate the discovery of candidate genes for experimental studies.
The findings enhance the understanding of transcriptional regulation mechanisms.