Affymetrix Gene Chip Data Analysis Chip concepts and

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Affymetrix Gene. Chip Data Analysis • • Chip concepts and array design Improving intensity

Affymetrix Gene. Chip Data Analysis • • Chip concepts and array design Improving intensity estimation from probe pairs level Clustering Motif discovering and preliminary result

How is Affymetrix Gene Chip made?

How is Affymetrix Gene Chip made?

Affymetrix Gene Chip Procedure • Target preparation fragmented Isolate m. RNA c. DNA c.

Affymetrix Gene Chip Procedure • Target preparation fragmented Isolate m. RNA c. DNA c. RNA 35~200 base fragments (12 -15 ug) biotinylated • Target Hybridization: 200 ml cocktail probe array chip hybridization (16 hours at 40~60°C) • Washing and Staining • Probe array scan, Data analysis, and Interpretation

Concepts of Array Design PM to maximize hybridization MM to ascertain the degree of

Concepts of Array Design PM to maximize hybridization MM to ascertain the degree of cross-hybridization PM MM Probe pair Probe set

Signal Intensity Estimation • Absolute analysis average difference (PM-MM) / pairs used • Comparison

Signal Intensity Estimation • Absolute analysis average difference (PM-MM) / pairs used • Comparison analysis experimental subtract baseline average difference • Probe pairs variation probe pairs outlier (cross-hybridization) arrays outlier (image contamination) • Probe pairs level adjustment Wing Wong Lab d. Chip: least square fitting model built from multiple chips Affymetrix MAS 5. 0: imputation

Clustering • Affymetrix DMT examine the SOM, are the clusters tight ? experiment primarily

Clustering • Affymetrix DMT examine the SOM, are the clusters tight ? experiment primarily with "Number of Epochs", "Alpha_i" and "Sigma_i" parameters to reduce error. multiple level clustering examine filtering parameters to adjust min and max value. (default is 20 and 20000) • Wing H. Wong Lab d. Chip from image file to outlier detection and clustering • MIT Whitehead Institute Gene. Cluster • Stanford Cluster and Treeview two way clustering (genes and/or arrays) find profile pattern not found in SOM clustering

Motif discovering • Motif discovery and matching tools Basic assumption: a cluster of co-regulated

Motif discovering • Motif discovery and matching tools Basic assumption: a cluster of co-regulated genes is regulated by the same transcription factors and the genes of a given cluster share common regulatory motifs Gibbs Motif Sampler Neuwald et al. 1995 Align. ACE based on Gibbs Sampling, optimized for finding multiple motifs and for both strands RSA-tools motif finding among non-coding regions in cress, yeast, fly, worm Plant. CARE search known motifs among 417 different plant transcription sites TFSEARCH search known motifs in vertebrate, arthropod, plant, yeast

Motif discovering result • Align. ACE motif finding result for a specific clustered genes

Motif discovering result • Align. ACE motif finding result for a specific clustered genes 1. 3 e+01 8. 6 e+00 7. 0 e+00 6. 5 e+00 5. 7 e+00 7. 9 e-04 5. 5 e-01 5. 5 e-02 1. 1 e-02 6. 8 e-01 3. 2 e-03 4. 4 e-03 1. 2 e-03 2. 2 e-02 7. 2 e-03 153 27 159 460 538 GGT-TGGWT GR---AGAA---G G-G-R--G--GRA AGATCCA C-AA-C-AAA 1. 9 e+00 9. 0 e-02 1. 5 e-02 174 CWTTGGG • Functional category refer to MIPS or TIGR or Gene Ontology web site • Exhaustive search result fetch all possible patterns within a cluster compare motif frequency among random sampling and functional group (applying M. Eisen’s Cluster/Treeview)

Supportive Information • Schroeder lab (UCSD) sequence retrieval and direct MEME motif finding •

Supportive Information • Schroeder lab (UCSD) sequence retrieval and direct MEME motif finding • Gene Microarray Pathway Profiler genechip array statistical consideration • MIT CCR HHMI Biopolymers Laboratory • Databases and software tools for gene expression software, databases, mail lists