DNA Microarray Quality Control Carlo Colantuoni April 25, 2007
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How many different ways can we look at global expression data?
Microarray Quality Control Depends on Technology
NHGRI Microarray Core Facility - Abdel Elkalhoun Oligonucleotide : 2-color Glass : Fluorescence : 36K
Illumina Microarray Platform Oligonucleotides : Beads : 24K : High Redundancy
Nylon NIA cDNA microarray Core Facility P MGC elements
Affymetrix - short oligos : many 10,000’s
Outlier Identification in Microarray Quality Control
Microarray Pseudo Images: Intensity
Microarray Pseudo Images: Ratios
Images of probe level data This is the raw data
Images of probe level data Residuals (or weights) from probe level model fits show problem clearly
Artifact & Bias Removal in Microarray Quality Control
Intensities and Ratios Green Red Intensity Log Ratio
4 arrays: Raw Log Intensities
4 arrays: Raw Linear Intensities
1 array: Ratio v. Intensity
Print-tip Effect
Bad Plate Effect
Print Order Effect
Uncorrected Intensities: MDS Colored by Batch
Removing The Batch Effect Much Like Red:Green Analysis
Uncorrected Intensities: MDS Colored by Batch
Batch Subtracted Measures: MDS Colored by Batch
MDS of All Array Experiments: Subject Replicates
Hybridization Artifacts
AGE ?
RNA Quality
AGE Batch
Positive Controls in Microarray Quality Control
As Many Views As Possible: Combing many diverse data types/views to see effects Outliers Artifacts & Bias Positive Controls Dimension Reduction
NIMH Joel Kleinman Tom Hyde Danny Weinberger JHSPH Rafael Irizarry JHU Michela Gallagher NHGRI Abdel Elkalhoun NIA & NIDA Kevin Becker Bill Freed Elin Lehrman JMHI Akira Sawa