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Related Concept Videos

Transcription Factors02:16

Transcription Factors

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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...
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Transcription Elongation Factors02:35

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Transcription elongation is a dynamic process that alters depending upon the sequence heterogeneity of the DNA being transcribed. Hence, it is not surprising that the elongation complex's composition also varies along the way while transcribing a gene.
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General Transcription Factors01:30

General Transcription Factors

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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...
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Eukaryotic Transcription Activators02:42

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Transcription activators are proteins that promote the transcription of genes from DNA to RNA. In most cases, these proteins contain two separate domains ‒ a domain that binds to DNA and a domain for activating transcription; however, in some cases, a single domain is responsible for both binding and activation of transcription, as seen in the glucocorticoid receptor and MyoD.
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Protein Networks02:26

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An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
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Related Experiment Video

Updated: Feb 14, 2026

High Sensitivity Measurement of Transcription Factor-DNA Binding Affinities by Competitive Titration Using Fluorescence Microscopy
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Network Motifs Capable of Decoding Transcription Factor Dynamics.

Zongmao Gao1, Siheng Chen1,2, Shanshan Qin1

  • 1Center for Quantitative Biology, Peking University, Beijing, 100871, China.

Scientific Reports
|February 28, 2018
PubMed
Summary

This study reveals how transcriptional networks distinguish between amplitude modulation (AM) and frequency modulation (FM) in transcription factor (TF) dynamics. Specific network structures are uniquely tuned to decode either AM or FM signals, offering insights into cellular information processing.

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Area of Science:

  • Systems Biology
  • Molecular Biology
  • Genetics

Background:

  • Transcription factors (TFs) encode upstream signals via temporal activation dynamics.
  • Understanding how downstream signaling networks decode these TF dynamics is crucial but remains unclear.

Purpose of the Study:

  • To investigate the ability of three-node transcriptional networks to differentiate between amplitude modulation (AM) and frequency modulation (FM) of TF activity.
  • To identify network topologies and features responsible for selective decoding of TF dynamics.

Main Methods:

  • Analysis of all possible three-node transcriptional network topologies.
  • Simulation and theoretical analysis of network responses to AM and FM TF signals.

Main Results:

  • Two distinct sets of network topologies were identified: one responsive to AM signals only, the other to FM signals only, with minimal overlap.
  • Prevalent topological features were identified for each set, explaining their specific response patterns.
  • Some topologies showed a weak, non-robust ability to distinguish both AM and FM signals by parameter tuning.

Conclusions:

  • Specific network architectures act as filters, selectively decoding either AM or FM transcription factor dynamics.
  • This provides a novel mechanism for how cells process and interpret different temporal patterns of gene regulation.