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Related Concept Videos

Cell Specific Gene Expression01:58

Cell Specific Gene Expression

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Multicellular organisms contain a variety of structurally and functionally distinct cell types, but the DNA in all the cells originated from the same parent cells. The differences in the cells can be attributed to the differential gene expression. Liver cells, whose functions include detoxification of blood, production of bile to metabolize fats, and synthesis of proteins essential for metabolism, must express a specific set of genes to perform their functions. Gene expression also varies with...
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Regulation of Expression Occurs at Multiple Steps02:24

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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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Constitutive and Regulated Gene Expression01:27

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Gene expression in prokaryotes is governed by constitutive and regulated systems, allowing cells to balance the production of essential proteins with adaptive responses to environmental changes.Constitutive Gene ExpressionConstitutive, or housekeeping, genes are continuously expressed as they encode proteins vital for fundamental cellular processes. These include enzymes for glycolysis, ribosomal components for protein synthesis, and proteins involved in DNA replication. Their constant...
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Chromatin is the massive complex of DNA and proteins packaged inside the nucleus. The complexity of chromatin folding and how it is packaged inside the nucleus greatly influences  access to genetic information. Generally, the nucleus' periphery is considered transcriptionally repressive, while the cell's interior is considered a transcriptionally active area. 
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What is Gene Expression?01:42

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Overview
Gene expression is the process in which DNA directs the synthesis of functional products, that is, proteins. Cells can regulate gene expression at various stages. It allows organisms to generate different cell types and enables cells to adapt to internal and external factors.
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Using Fluorescence Activated Cell Sorting to Examine Cell-Type-Specific Gene Expression in Rat Brain Tissue
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Cell-type-specific programs for activity-regulated gene expression.

Jesse M Gray1, Ivo Spiegel2

  • 1Department of Genetics, Harvard Medical School, Boston, United States.

Current Opinion in Neurobiology
|December 12, 2018
PubMed
Summary
This summary is machine-generated.

Experience shapes brain function via activity-regulated genes (ARGs). These gene programs are cell-type specific, suggesting distinct plasticity roles across neuronal subtypes, guiding future neuroscience research.

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Area of Science:

  • Neuroscience
  • Molecular Biology
  • Genetics

Background:

  • Experience profoundly impacts neural circuit function.
  • Activity-regulated gene (ARG) expression is a key mechanism underlying this plasticity.
  • Recent advances reveal ARG programs exhibit significant cell-type specificity.

Purpose of the Study:

  • To explore the cell-type specificity of ARG programs.
  • To investigate how cell-intrinsic and cell-extrinsic mechanisms contribute to this specificity.
  • To lay the groundwork for molecular systems neuroscience approaches.

Main Methods:

  • Genome-wide approaches to identify ARG programs.
  • Analysis of cell-intrinsic transcriptional responses.
  • Assessment of cell-extrinsic influences on stimuli.
  • Electrophysiology and in vivo imaging for future studies.

Main Results:

  • ARG programs are highly cell-type-specific.
  • This specificity arises from both cell-intrinsic and cell-extrinsic factors.
  • Distinct neuronal subtypes may mediate different forms of plasticity.

Conclusions:

  • Understanding cell-type-specific ARG mechanisms is crucial for deciphering experience-dependent plasticity.
  • This knowledge can advance molecular systems neuroscience.
  • Future research can link genetic perturbations to adaptive behaviors via neural circuit analysis.