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Regulation of Expression at Multiple Steps01:23

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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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A gene is a stretch of DNA that serves as the blueprint for functional RNAs and proteins. Since DNA is comprised  of nucleotides and proteins are comprised of amino acids, a mediator is required to convert the information encoded in DNA into proteins. This mediator is the messenger RNA (mRNA). mRNA copies the blueprint from DNA by a process called transcription. In eukaryotes, transcription occurs in the nucleus by complementary base-pairing with the DNA template. The mRNA is then...
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Tuning noise in gene expression.

Sanjay Tyagi1

  • 1Public Health Research Institute, Rutgers University, Newark, NJ, USA.

Molecular Systems Biology
|May 7, 2015
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Summary
This summary is machine-generated.

Gene expression noise is influenced by the local chromatin environment, not promoter architecture alone. Mean expression and noise are uncorrelated across different genomic locations.

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Area of Science:

  • Molecular Biology
  • Genetics
  • Systems Biology

Background:

  • Gene expression noise, a key factor in cellular function, is regulated by both promoter architecture and chromatin environment.
  • The distinct contributions of these factors to gene expression variability remain poorly understood.

Purpose of the Study:

  • To investigate the independent and combined roles of promoter architecture and chromatin environment in controlling gene expression noise.
  • To determine whether promoter-specific expression levels and noise are consistent across different genomic locations.

Main Methods:

  • Analysis of gene expression data from various genomic loci.
  • Computational modeling to assess promoter-specific contributions versus environmental influences.

Main Results:

  • Mean expression and gene expression noise are uncorrelated for a given promoter across different genomic loci.
  • The local chromatin environment significantly influences both mean expression and noise levels.
  • Promoter architecture alone does not determine expression noise independently of its genomic context.

Conclusions:

  • Gene expression noise is predominantly shaped by the local chromatin environment rather than solely by promoter sequence.
  • Understanding the chromatin context is crucial for predicting and controlling gene expression variability.