Match/X, A gene expression pattern recognition algorithm used to identify genes which may be related to CDC2 function and cell cycle regulation.
Large-scale microarray gene expression studies can provide insight into complex genetic networks and biological pathways. A comprehensive gene expression database was constructed using Affymetrix GeneChip microarrays and RNA isolated from more than 6,400 distinct normal and diseased human tissues. These individual patient samples were grouped into over 700 sample sets based on common tissue and disease morphologies, and each set contained averaged expression data for over 45,000 gene probe sets representing more than 33,000 known human genes. Sample sets were compared to each other in more than 750 normal vs. disease pairwise comparisons. Relative up or downregulation patterns of genes across these pairwise comparisons provided unique expression fingerprints that could be compared and matched to a gene of interest using the Match/X trade mark algorithm. This algorithm uses the kappa statistic to compute correlations between genes and calculate a distance score between a gene of interest and all other genes in the database. Using cdc2 as a query gene, we identified several hundred genes that had similar expression patterns and highly correlated distance scores. Most of these genes were known components of the cell cycle involved in G2/M progression, spindle function or chromosome arrangement. Some of the identified genes had unknown biological functions but may be related to cdc2 mediated mechanism based on their closely correlated distance scores. This algorithm may provide novel insights into unknown gene function based on correlation to expression profiles of known genes and can identify elements of cellular pathways and gene interactions in a high throughput fashion.
Coberley
Carter
C
Gene Logic Inc., Gaithersburg, Maryland 20879, USA.
Elashoff
Michael
M
Mertz
Lawrence
L
D000465:Algorithms; D016203:CDC2 Protein Kinase / Q000502:physiology*; D002455:Cell Division / Q000235:genetics; D019295:Computational Biology; D030541:Databases, Genetic; D016195:G2 Phase / Q000235:genetics; D020869:Gene Expression Profiling / Q000379:methods*; D005786:Gene Expression Regulation / Q000502:physiology*; D018816:Genes, cdc / Q000502:physiology*; D006801:Humans; D046228:Microarray Analysis / Q000379:methods; D011237:Predictive Value of Tests; D012984:Software; D012986:Software Validation
D016203:CDC2 Protein Kinase