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Related Concept Videos

Regulation of Expression at Multiple Steps01:23

Regulation of Expression at Multiple Steps

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The gene expression in cells is regulated at different stages: (i) transcription, (ii) RNA processing, (iii) RNA localization, and (iv) translation. Transcriptional regulation is mediated by regulatory proteins such as transcription factors, activators, or repressors—these control gene expression by initiating or inhibiting the transcription of genes. Once a precursor or pre-mRNA is produced, it undergoes post-transcriptional modification, including 5' capping, splicing, and the...
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Gene expression can be regulated at almost every step from gene to protein. Transcription is the step that is most commonly regulated. This involves the binding of proteins to short regulatory sequences on the DNA. This association can either promote or inhibit the transcription of a gene associated with the respective sequence.
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Proteins that regulate transcription can do so either via direct contact with RNA Polymerase or through indirect interactions facilitated by adaptors, mediators, histone-modifying proteins, and nucleosome remodelers. Direct interactions to activate transcription is seen in bacteria as well as in some eukaryotic genes. In these cases, upstream activation sequences are adjacent to the promoters, and the activator proteins interact directly with the transcriptional machinery. For example, in...
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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.
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To learn more about the function of a gene, researchers can observe what happens when the gene is inactivated or “knocked out,” by creating genetically engineered knockout animals. Knockout mice have been particularly useful as models for human diseases such as cancer, Parkinson’s disease, and diabetes.
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Related Experiment Video

Updated: Mar 31, 2026

A Rapid In Vivo Bioassay for Developmentally Active Enhancers
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Suboptimization of developmental enhancers.

Emma K Farley1, Katrina M Olson2, Wei Zhang3

  • 1Department of Molecular and Cell Biology, Division of Genetics, Genomics and Development, Center for Integrative Genomics, University of California, Berkeley, CA 94720-3200, USA. Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08544, USA. msl2@princeton.edu ekfarley@princeton.edu.

Science (New York, N.Y.)
|October 17, 2015
PubMed
Summary
This summary is machine-generated.

Enhancer specificity in gene regulation relies on "suboptimization," where imperfect DNA binding sites create precise expression patterns. This mechanism ensures accurate developmental gene activation, avoiding errors from overly strong binding.

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Area of Science:

  • Developmental Biology
  • Molecular Genetics
  • Genomics

Background:

  • Transcriptional enhancers control precise gene expression patterns essential for development.
  • Understanding the molecular basis of enhancer specificity is crucial for developmental biology.

Purpose of the Study:

  • To investigate the mechanisms underlying the precision of the Otx-a enhancer in Ciona embryos.
  • To determine how fibroblast growth factor (FGF) signaling and GATA determinants influence enhancer specificity.

Main Methods:

  • High-throughput analysis of the Otx-a enhancer.
  • Assessing the impact of binding site sequence and spacing on enhancer activity.
  • Investigating the role of suboptimal recognition motifs in gene regulation.

Main Results:

  • Enhancer specificity is achieved through submaximal recognition motifs with reduced binding affinities.
  • Imperfect matches in native GATA and ETS binding sites confer specificity.
  • Altering the spacing of binding sites significantly impacts enhancer activity.
  • Multiple levels of suboptimization lead to specific yet weak expression patterns.

Conclusions:

  • Suboptimal enhancer elements are critical for generating precise gene expression patterns during development.
  • Clusters of weak enhancers, potentially including superenhancers, balance specificity and activity.
  • The findings provide insights into the regulatory logic of developmental gene expression.