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Related Concept Videos

Transcription Factors02:16

Transcription Factors

Tissue-specific transcription factors contribute to diverse cellular functions in mammals. For example, the gene for beta globin, a major component of hemoglobin, is present in all cells of the body. However, it is only expressed in red blood cells because the transcription factors that can bind to the promoter sequences of the beta globin gene are only expressed in these cells. Tissue-specific transcription factors also ensure that mutations in these factors may impair only the function of...
Transcription Factors02:16

Transcription Factors

Tissue-specific transcription factors contribute to diverse cellular functions in mammals. For example, the gene for beta globin, a major component of hemoglobin, is present in all cells of the body. However, it is only expressed in red blood cells because the transcription factors that can bind to the promoter sequences of the beta globin gene are only expressed in these cells. Tissue-specific transcription factors also ensure that mutations in these factors may impair only the function of...
Master Transcription Regulators02:23

Master Transcription Regulators

Master transcription regulators are regulatory proteins that are predominantly responsible for regulating the expression of multiple genes. Often these genes work in concert to drive a  complex process. Activation of a master transcription regulator can lead to a cascade of transcriptional activation necessary for that outcome. These regulators can directly bind to the regulatory sequences of the various genes involved, or they can indirectly regulate transcription by binding to regulatory...
General Transcription Factors01:30

General Transcription Factors

Tissue-specific transcription factors contribute to diverse cellular functions in mammals. For example, the gene for beta globin, a major component of hemoglobin, is present in all cells of the body. However, it is only expressed in red blood cells because the transcription factors that can bind to the promoter sequences of the beta globin gene are only expressed in these cells. Tissue-specific transcription factors also ensure that mutations in these factors may impair only the function of...
Combinatorial Gene Control02:33

Combinatorial Gene Control

Combinatorial gene control is the synergistic action of several transcriptional factors to regulate the expression of a single gene. The absence of one or more of these factors may lead to a significant difference in the level of gene expression or repression.
The expression of more than 30,000 genes is controlled by approximately 2000-3000 transcription factors. This is possible because a single transcription factor can recognize more than one regulatory sequence. The specificity in gene...
DNA Microarrays02:34

DNA Microarrays

Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...

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Related Experiment Video

Updated: May 31, 2026

Identification of Transcription Factor Regulators using Medium-Throughput Screening of Arrayed Libraries and a Dual-Luciferase-Based Reporter
11:32

Identification of Transcription Factor Regulators using Medium-Throughput Screening of Arrayed Libraries and a Dual-Luciferase-Based Reporter

Published on: March 27, 2020

Microarray-based identification of transcription factor target genes.

Maartje Gorte1, Anneke Horstman, Robert B Page

  • 1Molecular Genetics Group, Department of Biology, Faculty of Science, Utrecht University, Utrecht, The Netherlands. martieu@gmail.com

Methods in Molecular Biology (Clifton, N.J.)
|July 2, 2011
PubMed
Summary
This summary is machine-generated.

Microarray analysis helps identify plant transcription factor target genes. This study details designing DNA constructs, experimental setup, data analysis, and validation for this process.

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Last Updated: May 31, 2026

Identification of Transcription Factor Regulators using Medium-Throughput Screening of Arrayed Libraries and a Dual-Luciferase-Based Reporter
11:32

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Published on: March 27, 2020

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Real-time Analysis of Transcription Factor Binding, Transcription, Translation, and Turnover to Display Global Events During Cellular Activation
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Real-time Analysis of Transcription Factor Binding, Transcription, Translation, and Turnover to Display Global Events During Cellular Activation

Published on: March 7, 2018

Area of Science:

  • Molecular Biology
  • Plant Science
  • Genomics

Background:

  • Microarray analysis is a key technique for studying gene expression.
  • Identifying transcription factor (TF) targets is crucial for understanding plant gene regulation.
  • Previous methods for TF target identification can be complex and time-consuming.

Purpose of the Study:

  • To present a comprehensive workflow for identifying plant transcription factor target genes using microarray analysis.
  • To emphasize the importance of designing effective DNA constructs for controlling TF activity.
  • To outline robust statistical analysis and validation methods for microarray data.

Main Methods:

  • Design of plant DNA constructs to modulate transcription factor (TF) activity.
  • Establishment of experimental protocols for microarray hybridization and data acquisition.
  • Application of statistical methods for analyzing differential gene expression from microarray data.
  • Validation of identified TF target genes through independent experimental approaches.

Main Results:

  • Successful application of microarray analysis to identify potential target genes regulated by specific plant TFs.
  • Demonstration of how tailored DNA constructs can effectively control TF activity for target gene discovery.
  • Validation of a subset of identified genes, confirming their role as direct or indirect targets of the studied TFs.

Conclusions:

  • Microarray analysis provides a powerful and efficient platform for discovering plant TF target genes.
  • The described methodology, encompassing construct design, experimental execution, and data analysis, offers a reliable approach for TF target identification.
  • This work contributes to a deeper understanding of plant gene regulatory networks and TF functions.