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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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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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Combinatorial Gene Control02:33

Combinatorial Gene Control

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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.
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...
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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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Reporter Genes02:11

Reporter Genes

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Reporter genes are a type of protein-coding gene that are often tagged to a gene of interest. Once inside a target cell, reporter genes usually produce visually identifiable characteristics like fluorescence and luminescence when expressed along with the gene of interest. Thus, reporter genes “report” the presence or absence of genes of interest in an organism, determine the gene expression pattern, or track the physical location of a DNA segment or protein in the cell.
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What is Gene Expression?01:42

What is Gene Expression?

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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.
Genetic Information Flows from DNA to RNA to Protein
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Detecting context-dependent gene regulation.

Eric R Gamazon1

  • 1Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN USA.

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Summary
This summary is machine-generated.

A new method, BaseQTL, maps molecular quantitative trait loci (QTL) using allele-specific expression from sequencing data. This approach enables genetic variant analysis without requiring paired genotype data, advancing disease mechanism insights.

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Area of Science:

  • Genomics
  • Genetic Epidemiology
  • Bioinformatics

Background:

  • Identifying genetic variants associated with diseases is crucial for understanding disease mechanisms.
  • Molecular quantitative trait loci (QTL) mapping is a key approach to link genetic variants to molecular phenotypes.
  • Existing QTL mapping methods often require paired genotype data, limiting their application.

Purpose of the Study:

  • To develop a novel method for mapping molecular quantitative trait loci (QTL).
  • To enable QTL detection using only sequencing data, without the need for paired genotype information.
  • To facilitate mechanistic insights into disease-associated genetic variants.

Main Methods:

  • The study introduces BaseQTL, a novel computational method.
  • BaseQTL leverages allele-specific expression patterns detected in sequencing reads.
  • The method maps molecular QTL by analyzing variations in gene expression across different alleles.

Main Results:

  • BaseQTL successfully maps molecular QTL using sequencing reads.
  • The method does not require pre-existing genotype data for QTL detection.
  • This facilitates a broader application of QTL mapping in diverse genetic studies.

Conclusions:

  • BaseQTL offers a powerful new tool for genetic research.
  • The method enhances the ability to uncover the functional impact of genetic variants.
  • This advancement aids in understanding the genetic basis of complex diseases.