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Related Experiment Videos

"Harshlighting" small blemishes on microarrays.

Mayte Suárez-Fariñas¹, Asifa Haider, Knut M Wittkowski

¹Center for Studies in Physics and Biology, The Rockefeller University, 1230 York Ave, Box 212, New York, NY 10021, USA. mayte@babel.rockefeller.edu

BMC Bioinformatics

|March 24, 2005

Summary

Detecting subtle gene expression changes requires careful screening of microarray chips for blemishes. A new method uses statistical power from multiple high-density oligonucleotide arrays (HDONAs) to highlight and mask these artefacts, improving analysis sensitivity.

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Area of Science:

Genomics
Bioinformatics
Microarray Technology

Background:

Fluorescence images and microarray scans are prone to blemishes like dust, debris, and uneven coatings.
These artefacts can significantly impact data analysis, especially when detecting subtle changes in high-density oligonucleotide arrays (HDONAs).
Many blemishes are difficult to detect visually in HDONAs.

Purpose of the Study:

To develop a robust method for identifying and masking blemishes in high-density oligonucleotide arrays (HDONAs).
To improve the sensitivity and reliability of microarray analyses for detecting subtle gene expression changes.

Main Methods:

Harnessing statistical power from multiple HDONAs processed under similar conditions.
Employing a novel method to "harshlight" and reveal blemishes.

Related Experiment Videos

Utilizing topological information to identify and mask artefacts before analysis.

Main Results:

Approximately 25% of analyzed chips were found to be blemished.
The developed method effectively highlights previously undetected blemishes.
Masking identified blemishes was shown to impact the screening for differentially expressed genes.

Conclusions:

Careful screening of microarray chips for blemishes is crucial for experiments assessing subtle expression changes.
The proposed method offers a robust approach to enhance microarray analysis sensitivity.
By masking blemishes prior to analysis, this method prevents artefacts from confounding background correction, normalization, and summarization processes.