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Related Concept Videos

RNA-seq03:21

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Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...
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DNA Microarrays: Sample Quality Control, Array Hybridization and Scanning
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Improving reliability and absolute quantification of human brain microarray data by filtering and scaling probes

Jeremy A Miller, Vilas Menon, Jeff Goldy

  • 1Allen Institute for Brain Science, 551 N 34th Street, Seattle, WA 98103, USA. mikeh@alleninstitute.org.

BMC Genomics
|February 26, 2014
PubMed
Summary

RNA sequencing (RNA-Seq) can improve the quality of existing microarray data. By using RNA-Seq as a benchmark, researchers can refine microarray probes for more accurate gene expression analysis, enhancing valuable datasets.

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Area of Science:

  • Genomics
  • Bioinformatics
  • Molecular Biology

Background:

  • High-throughput sequencing, particularly RNA-Seq, is increasingly favored over microarrays for mRNA expression studies due to its nucleotide resolution and ability to detect novel transcripts.
  • Existing microarray data represent a significant, yet often underutilized, resource in clinical, pharmaceutical, and academic research.
  • Current methods for assessing and enhancing the quality of legacy microarray data are insufficient.

Purpose of the Study:

  • To quantitatively evaluate the quality of microarray probes by direct comparison with RNA-Seq.
  • To establish a method for improving the reliability and quantitative accuracy of microarray gene expression data.

Main Methods:

  • RNA-Seq and Agilent microarrays were used to analyze 231 unique samples from the Allen Human Brain Atlas.
  • RNA-Seq data served as the ground truth to assess microarray probe reliability and identify off-target effects.
  • A novel scaling method, sequencing scaled microarray intensities (SSMIs), was developed to adjust probe intensities.

Main Results:

  • Both RNA-Seq and microarrays demonstrated high consistency and reproducibility in gene expression measurements in adult human brain samples.
  • RNA-Seq slightly outperformed microarrays in overall performance.
  • SSMIs provided more reliable and quantitative absolute expression levels compared to unscaled microarray intensities, validated in human cell lines.

Conclusions:

  • Microarray data yield consistent and reproducible gene expression measurements that can be significantly enhanced using RNA-Seq as a reference.
  • The developed strategy offers a pathway to improve probe quality across numerous existing microarray datasets from major repositories.
  • This approach enhances the utility of historical microarray data for future research and discovery.