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Related Concept Videos

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...
Prokaryotic Transcriptional Activators and Repressors01:58

Prokaryotic Transcriptional Activators and Repressors

The organization of prokaryotic genes in their genome is notably different from that of eukaryotes. Prokaryotic genes are organized, such that the genes for proteins involved in the same biochemical process or function are located together in groups. This group of genes, along with their regulatory elements, are collectively known as an operon. The functional genes in an operon are transcribed together to give a single strand of mRNA known as polycistronic mRNA.
Transcription of prokaryotic...
Prokaryotic Transcriptional Activators and Repressors01:58

Prokaryotic Transcriptional Activators and Repressors

The organization of prokaryotic genes in their genome is notably different from that of eukaryotes. Prokaryotic genes are organized, such that the genes for proteins involved in the same biochemical process or function are located together in groups. This group of genes, along with their regulatory elements, are collectively known as an operon. The functional genes in an operon are transcribed together to give a single strand of mRNA known as polycistronic mRNA.
Transcription of prokaryotic...
Transcription in Prokaryotes01:28

Transcription in Prokaryotes

Transcription is a highly regulated process that converts genetic information into RNA molecules. The transcription cycle is divided into three key stages: initiation, elongation, and termination, each driven by specific molecular mechanisms.Initiation of TranscriptionIn bacteria, transcription begins when the RNA polymerase core enzyme associates with a sigma factor to form a holoenzyme. For example, the E. coli sigma factor called σ70 forms a holoenzyme, which recognizes the -10 (Pribnow box)...
Transcription Attenuation in Prokaryotes02:42

Transcription Attenuation in Prokaryotes

Transcriptional attenuation occurs when RNA transcription is prematurely terminated due to the formation of a terminator mRNA hairpin structure.  Bacteria use these hairpins to regulate the transcription process and control the synthesis of several amino acids including histidine, lysine, threonine, and phenylalanine. Transcription attenuation takes place in the non-coding regions of mRNA.
There are several different mechanisms used to attenuate transcription. In ribosome mediated...

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Related Experiment Video

Updated: May 24, 2026

Genome-wide Profiling of Transcription Factor-DNA Binding Interactions in Candida albicans: A Comprehensive CUT&RUN Method and Data Analysis Workflow
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Genome-wide Profiling of Transcription Factor-DNA Binding Interactions in Candida albicans: A Comprehensive CUT&RUN Method and Data Analysis Workflow

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GRiP: a computational tool to simulate transcription factor binding in prokaryotes.

Nicolae Radu Zabet1, Boris Adryan

  • 1Cambridge Systems Biology Centre, University of Cambridge, Tennis Court Road, Cambridge, UK. n.r.zabet@gen.cam.ac.uk

Bioinformatics (Oxford, England)
|March 20, 2012
PubMed
Summary

We developed GRiP, a computational model simulating how transcription factors (TFs) find target DNA sites. This tool offers researchers a flexible framework for studying gene regulation dynamics and TF interactions.

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Application of Biolayer Interferometry (BLI) for Studying Protein-Protein Interactions in Transcription
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Last Updated: May 24, 2026

Genome-wide Profiling of Transcription Factor-DNA Binding Interactions in Candida albicans: A Comprehensive CUT&RUN Method and Data Analysis Workflow
07:48

Genome-wide Profiling of Transcription Factor-DNA Binding Interactions in Candida albicans: A Comprehensive CUT&RUN Method and Data Analysis Workflow

Published on: April 1, 2022

High Sensitivity Measurement of Transcription Factor-DNA Binding Affinities by Competitive Titration Using Fluorescence Microscopy
06:38

High Sensitivity Measurement of Transcription Factor-DNA Binding Affinities by Competitive Titration Using Fluorescence Microscopy

Published on: February 7, 2019

Application of Biolayer Interferometry (BLI) for Studying Protein-Protein Interactions in Transcription
07:18

Application of Biolayer Interferometry (BLI) for Studying Protein-Protein Interactions in Transcription

Published on: July 26, 2019

Area of Science:

  • Computational Biology
  • Systems Biology
  • Molecular Biology

Background:

  • Transcription factors (TFs) regulate gene activity by binding to specific DNA sites.
  • Understanding TF-DNA interactions is crucial for deciphering gene regulation mechanisms.
  • A comprehensive computational model for TF target site location was previously developed.

Purpose of the Study:

  • To introduce GRiP (gene regulation in prokaryotes), a versatile computational model for simulating TF search processes.
  • To provide researchers with an efficient and customizable simulation framework for studying gene regulation.

Main Methods:

  • Implementation of a computational model based on facilitated diffusion and TF-DNA interactions.
  • Simulation of TF search dynamics, including movement along DNA and interactions between TFs.
  • Analysis of both dynamic search processes and steady-state outcomes.

Main Results:

  • GRiP simulates TF search processes efficiently, offering insights into gene regulation in prokaryotes.
  • The software models DNA sequence, TF behavior, and interactions (facilitated diffusion, cooperative binding).
  • GRiP records dynamic search information and steady-state results like affinity landscapes and collision hotspots.

Conclusions:

  • GRiP provides a flexible and efficient simulation framework for researchers studying transcription factor binding and gene regulation.
  • The model facilitates the investigation of TF-DNA interactions and cooperative behaviors.
  • This tool enhances the understanding of molecular mechanisms underlying gene regulation.