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Co-expressed yeast genes cluster over a long range but are not regularly spaced
Martin J Lercher1, Laurence D Hurst
1Department of Biology and Biochemistry, University of Bath, Bath BA2 7AY, UK. m.j.lercher@bath.ac.uk
Journal of Molecular Biology
|April 25, 2006
Summary
Genomic position influences gene expression, with co-expressed genes forming large local domains up to 100 kb. This study found no evidence of expression periodicity in yeast, human, or mouse genomes.
Area of Science:
- Genomics
- Molecular Biology
- Bioinformatics
Background:
- Gene expression can be influenced by genomic location.
- Previous studies using yeast arrays suggested spatial biases may affect expression profile analysis.
- Understanding gene co-expression domains is crucial for deciphering genome organization and function.
Purpose of the Study:
- To investigate the relationship between gene genomic position and expression profiles, independent of array spatial biases.
- To determine the size of co-expressed gene domains.
- To assess the evidence for expression periodicity and co-regulation periodicity across different genomes.
Main Methods:
- Analysis of spatially unbiased expression data from a large Northern blot study in yeast.
- Examination of gene co-expression patterns and domain sizes.
- Investigation of periodicity in gene expression and transcription factor binding data in yeast, human, and mouse genomes.
Main Results:
- Local domains of co-expressed genes in yeast extend up to 100 kb (approximately 30 genes), larger than previously thought.
- No evidence of expression profile periodicity was found in yeast.
- No convincing evidence for expression periodicity was observed in the human or mouse genomes.
- Analysis of yeast transcription factor binding data revealed no statistical evidence for chromosomal co-regulation periodicity.
Conclusions:
- Gene co-expression occurs in large local domains, challenging previous notions of smaller domains.
- The hypothesis of chromosomal periodicity in gene expression or co-regulation is not supported by current data in yeast, human, or mouse.
- Spatial biases in array printing can confound the interpretation of gene expression data related to genomic position.