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Related Concept Videos

Cis-regulatory Sequences02:02

Cis-regulatory Sequences

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...
Cis-regulatory Sequences02:02

Cis-regulatory Sequences

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...
Cooperative Binding of Transcription Regulators02:13

Cooperative Binding of Transcription Regulators

Transcriptional regulators bind to specific cis-regulatory sequences in the DNA to regulate gene transcription. These cis-regulatory sequences are very short, usually less than ten nucleotide pairs in length. The short length means that there is a high probability of the exact same sequence randomly occurring throughout the genome.  Since regulators can also bind to groups of similar sequences, this further increases the chances of random binding. Transcriptional regulators form dimers that...
Cooperative Binding of Transcription Regulators02:13

Cooperative Binding of Transcription Regulators

Transcriptional regulators bind to specific cis-regulatory sequences in the DNA to regulate gene transcription. These cis-regulatory sequences are very short, usually less than ten nucleotide pairs in length. The short length means that there is a high probability of the exact same sequence randomly occurring throughout the genome.  Since regulators can also bind to groups of similar sequences, this further increases the chances of random binding. Transcriptional regulators form dimers that...
Global Regulatory Systems01:28

Global Regulatory Systems

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...
Genomics02:02

Genomics

Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...

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Related Experiment Video

Updated: Jun 16, 2026

An Integrated Workflow to Study the Promoter-Centric Spatio-Temporal Genome Architecture in Scarce Cell Populations
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Functional cis-regulatory genomics for systems biology.

Jongmin Nam1, Ping Dong, Ryan Tarpine

  • 1Division of Biology, California Institute of Technology, Pasadena, CA 91125, USA.

Proceedings of the National Academy of Sciences of the United States of America
|February 10, 2010
PubMed
Summary

Scientists developed a high-throughput method to discover and characterize cis-regulatory modules (CRMs) for gene regulatory networks (GRNs). This DNA-tagging approach accelerates CRM analysis over 100-fold, enabling comprehensive GRN construction and validation.

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Last Updated: Jun 16, 2026

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Using SCOPE to Identify Potential Regulatory Motifs in Coregulated Genes
07:55

Using SCOPE to Identify Potential Regulatory Motifs in Coregulated Genes

Published on: May 31, 2011

Area of Science:

  • Genomics
  • Systems Biology
  • Molecular Biology

Background:

  • Gene expression is regulated by interactions between trans-regulatory factors and cis-regulatory DNA sequences, forming gene regulatory networks (GRNs).
  • Experimental validation of GRN models is crucial but currently limited by slow, demanding methods for discovering and testing cis-regulatory modules (CRMs).
  • A bottleneck exists in genomic systems biology due to the laborious nature of current cis-regulatory analysis techniques.

Purpose of the Study:

  • To develop a high-throughput method for the simultaneous discovery and quantitative characterization of CRMs.
  • To significantly increase the speed and efficiency of cis-regulatory analysis.
  • To facilitate the construction and validation of gene regulatory network models.

Main Methods:

  • A novel high-throughput approach using DNA sequence tags to "barcode" CRM expression constructs.
  • Mixing barcoded constructs, injecting them into sea urchin eggs, and subsequently deconvolving the data.
  • Utilizing DNA-tag reporters for rapid discovery and simultaneous high-resolution temporal characterization of CRM activities.

Main Results:

  • The DNA-tagging method increased the rate of cis-regulatory analysis by over 100-fold compared to conventional assays.
  • Successfully discovered 81 active CRMs from 37 unexplored sea urchin genes.
  • Obtained simultaneous temporal characterization of over 80 CRMs, with an average of 2-3 CRMs per gene, comprehensively covering endogenous expression phases.

Conclusions:

  • This high-throughput approach dramatically accelerates cis-regulatory analysis, overcoming current bottlenecks in genomic systems biology.
  • The method enables efficient discovery and characterization of CRMs, significantly advancing GRN construction and validation.
  • This technique is poised to qualitatively alter practices in regulatory systems biology and related fields.