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Related Concept Videos

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Real-time Analysis of Transcription Factor Binding, Transcription, Translation, and Turnover to Display Global Events During Cellular Activation
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Large-Scale Transcriptome Analysis.

David Weaver1,2, Kathirvel Gopalakrishnan2,3, Bina Joe4,5,6

  • 1Center for Hypertension and Personalized Medicine, Bioinformatics, Proteomics and Genomics Program, Department of Surgery, University of Toledo College of Medicine, Toledo, OH, USA.

Methods in Molecular Biology (Clifton, N.J.)
|January 25, 2017
PubMed
Summary
This summary is machine-generated.

Genomic variants affecting complex traits like blood pressure are often in noncoding DNA. Microarray experiments help study gene expression to understand these variant effects across the genome.

Keywords:
ChipMicroarrayarrayblood pressurelncRNAmRNA

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Area of Science:

  • Genomics
  • Molecular Biology
  • Hypertension Research

Background:

  • Genomic variants linked to complex traits, such as blood pressure, are more prevalent in noncoding DNA than coding regions.
  • This necessitates genome-wide gene expression analysis to link variant function to expression alterations, irrespective of their location.

Purpose of the Study:

  • To present fundamental methods for conducting microarray experiments.
  • To identify online resources for analyzing microarray data.
  • To generate transcriptomic data relevant to hypertension.

Main Methods:

  • Microarray technology for genome-scale transcriptome querying.
  • Experimental design for gene expression analysis.
  • Bioinformatic tools and online resources for data analysis.

Main Results:

  • Provides a foundational guide to microarray experiment methodology.
  • Highlights accessible online resources for comprehensive data analysis.
  • Enables the generation of transcriptomic data for hypertension research.

Conclusions:

  • Microarray technology is a valuable tool for investigating gene expression in relation to genomic variants.
  • Understanding transcriptomic changes is crucial for deciphering the genetic basis of complex traits like hypertension.
  • This chapter serves as a practical resource for researchers in the field.