title: Visualizing chromosomes as transcriptome correlation maps: evidence of chromosomal domains containing co-expressed genes--a study of 130 invasive ductal breast carcinomas.
abstract: Completion of the working draft of the human genome has made it possible to analyze the expression of genes according to their position on the chromosomes. Here, we used a transcriptome data analysis approach involving for each gene the calculation of the correlation between its expression profile and those of its neighbors. We used the U133 Affymetrix transcriptome data set for a series of 130 invasive ductal breast carcinomas to construct chromosomal maps of gene expression correlation (transcriptome correlation map). This highlighted nonrandom clusters of genes along the genome with correlated expression in tumors. Some of the gene clusters identified by this method probably arose because of genetic alterations, as most of the chromosomes with the highest percentage of correlated genes (1q, 8p, 8q, 16p, 16q, 17q, and 20q) were also the most frequent sites of genomic alterations in breast cancer. Our analysis showed that several known breast tumor amplicons (at 8p11-p12, 11q13, and 17q12) are located within clusters of genes with correlated expression. Using hierarchical clustering on samples and a Treeview representation of whole chromosome arms, we observed a higher-order organization of correlated genes, sometimes involving very large chromosomal domains that could extend to a whole chromosome arm. Transcription correlation maps are a new way of visualizing transcriptome data. They will help to identify new genes involved in tumor progression and new mechanisms of gene regulation in tumors.
authors.affiliation: Unité Mixte de Recherche 144, Centre National de la Recherche Scientifique, Paris, France.
authors.forename: Fabien
authors.initials: F
authors.lastname: Reyal
authors.forename: Nicolas
authors.initials: N
authors.lastname: Stransky
authors.forename: Isabelle
authors.initials: I
authors.lastname: Bernard-Pierrot
authors.forename: Anne
authors.initials: A
authors.lastname: Vincent-Salomon
authors.forename: Yann
authors.initials: Y
authors.lastname: de Rycke
authors.forename: Paul
authors.initials: P
authors.lastname: Elvin
authors.forename: Andrew
authors.initials: A
authors.lastname: Cassidy
authors.forename: Alexander
authors.initials: A
authors.lastname: Graham
authors.forename: Carolyn
authors.initials: C
authors.lastname: Spraggon
authors.forename: Yoann
authors.initials: Y
authors.lastname: Désille
authors.forename: Alain
authors.initials: A
authors.lastname: Fourquet
authors.forename: Claude
authors.initials: C
authors.lastname: Nos
authors.forename: Pierre
authors.initials: P
authors.lastname: Pouillart
authors.forename: Henri
authors.initials: H
authors.lastname: Magdelénat
authors.forename: Dominique
authors.initials: D
authors.lastname: Stoppa-Lyonnet
authors.forename: Jérôme
authors.initials: J
authors.lastname: Couturier
authors.forename: Brigitte
authors.initials: B
authors.lastname: Sigal-Zafrani
authors.forename: Bernard
authors.initials: B
authors.lastname: Asselain
authors.forename: Xavier
authors.initials: X
authors.lastname: Sastre-Garau
authors.forename: Olivier
authors.initials: O
authors.lastname: Delattre
authors.forename: Jean Paul
authors.initials: JP
authors.lastname: Thiery
authors.forename: François
authors.initials: F
authors.lastname: Radvanyi
mesh_terms: D001943:Breast Neoplasms / Q000235:genetics* / Q000378:metabolism; D018270:Carcinoma, Ductal, Breast / Q000235:genetics* / Q000378:metabolism; D002874:Chromosome Mapping; D002877:Chromosomes, Human / Q000235:genetics; D020869:Gene Expression Profiling; D006801:Humans; D020411:Oligonucleotide Array Sequence Analysis; D012334:RNA, Neoplasm / Q000096:biosynthesis / Q000235:genetics
chemical_list: D012334:RNA, Neoplasm