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Transcriptomic Profiling During Myogenesis.

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Methods in Molecular Biology (Clifton, N.J.)
|October 28, 2018
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Summary

This study details a protocol for whole genome microarray analysis to measure global gene expression. It also covers bioinformatics tools and validation assays for transcriptomic data interpretation.

Keywords:
Biological association networksGene ontology classificationMicroarraysRNA isolation and validationcRNA labeling and hybridization

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Area of Science:

  • Genomics
  • Molecular Biology
  • Bioinformatics

Background:

  • Microarray technology allows for the simultaneous measurement of expression levels for numerous genes within a single biological sample.
  • Understanding global gene expression is crucial for deciphering complex biological processes and disease mechanisms.

Purpose of the Study:

  • To present a comprehensive protocol for examining global gene expression using whole genome oligonucleotide microarrays.
  • To introduce bioinformatics tools essential for the analysis and interpretation of microarray data.
  • To suggest subsequent biological assays for validating transcriptomic findings.

Main Methods:

  • Whole genome oligonucleotide microarray hybridization.
  • Detailed protocol for sample processing and data acquisition.
  • Application of bioinformatics tools for data analysis and interpretation.

Main Results:

  • A robust protocol for transcriptomic profiling using microarrays was established.
  • Demonstrated utility of specific bioinformatics tools for analyzing large-scale gene expression data.
  • Outlined a framework for validating transcriptomic signatures through complementary assays.

Conclusions:

  • The described protocol provides a reliable method for global gene expression analysis.
  • Bioinformatics tools are indispensable for extracting meaningful biological insights from microarray data.
  • Integrated transcriptomic analysis with validation assays strengthens the reliability of biological conclusions.