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Global regulatory systems in bacteria enable rapid and coordinated responses to environmental changes by integrating sensory inputs with gene expression, ensuring efficient adaptation to fluctuating conditions. Key global regulatory mechanisms include regulons, two-component systems, sigma factors, and secondary messengers.Regulons and Global RegulatorsA regulon is a collection of genes and operons controlled by a common global regulator. These regulators enable bacteria to prioritize resource...
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Cis-regulatory sequences are short fragments of non-coding DNA that are present on the same chromosomes as the genes that they regulate. These fragments serve as binding sites for transcriptional regulators, proteins that are responsible for controlling gene transcription and differential gene expression across cell types in eukaryotes. Cis-regulatory sequences can be close to the gene of interest or thousands of bases away in the DNA sequence; however, those sequences that are further away are...
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Related Experiment Video

Updated: Feb 9, 2026

Discovering CsgD Regulatory Targets in Salmonella Biofilm Using Chromatin Immunoprecipitation and High-Throughput Sequencing ChIP-seq
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Discovering cis-Regulatory Motifs.

Jui-Hung Hung, Zhiping Weng

    Cold Spring Harbor Protocols
    |August 31, 2016
    PubMed
    Summary

    This protocol details tools for finding cis-regulatory motifs, including MEME for de novo discovery and MEME-ChIP for ChIP-seq data analysis. It demonstrates motif discovery and scanning using databases like JASPAR.

    Area of Science:

    • Genomics
    • Bioinformatics
    • Computational Biology

    Background:

    • Motif finding is crucial for understanding gene regulation.
    • Existing tools require integration for comprehensive analysis.

    Purpose of the Study:

    • To present a protocol for motif discovery using a suite of integrated tools.
    • To demonstrate the application of these tools on both predicted and experimental biological sequences.

    Main Methods:

    • Utilized MEME for ab initio motif discovery.
    • Employed JASPAR database for known motif searching.
    • Applied Clover and MAST for motif enrichment and scanning.
    • Used MEME-ChIP for analyzing ChIP-seq data and discovering motifs in peak regions.

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    Main Results:

    • Successfully identified cis-regulatory motifs in CREB-binding sequences.
    • Discovered motifs in STAT1 ChIP-seq peaks and compared them with JASPAR database entries.

    Conclusions:

    • The described protocol provides a robust framework for motif discovery.
    • Integrated tools enhance the analysis of both predicted and ChIP-seq data for regulatory element identification.