A computational analysis of whole-genome expression data reveals chromosomal domains of gene expression

Barak A. Cohen, Robi D. Mitra, Jason D. Hughes, George M. Church

Research output: Contribution to journalArticlepeer-review

414 Scopus citations

Abstract

Chromosome correlation maps display correlations between the expression patterns of genes on the same chromosome. Using these maps, we show here that adjacent pairs of genes, as well as nearby non-adjacent pairs of genes, show correlated expression independent of their orientation. We present specific examples of adjacent pairs with highly correlated expression patterns, in which the promoter of only one of the two genes contains an upstream activating sequence (UAS) known to be associated with that expression pattern. Finally, we show that genes with similar functions tend to occur in adjacent positions along the chromosomes. Our results suggest that, in certain chromosomal expression domains, an UAS can affect the transcription of genes that are not immediately downstream from it.

Original languageEnglish
Pages (from-to)183-186
Number of pages4
JournalNature Genetics
Volume26
Issue number2
DOIs
StatePublished - Oct 2000

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