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Transcript analysis of 1003 novel yeast genes using high-throughput northern hybridizations
A J Brown1, R J Planta, F Restuhadi
1Department of Molecular and Cell Biology, University of Aberdeen, Institute of Medical Sciences, Foresterhill, Aberdeen AB25 2ZD.
The EMBO Journal
|June 19, 2001
Summary
This study compares yeast gene expression data from northern analysis and microarrays, highlighting the need for standardized methods. It identifies co-regulated gene clusters and reveals codon usage patterns linked to nutrient availability.
Area of Science:
- Molecular Biology
- Yeast Genetics
- Transcriptional Regulation
Background:
- Gene expression analysis in Saccharomyces cerevisiae is crucial for understanding cellular responses.
- Comparing different experimental techniques like northern analysis and microarrays requires careful normalization and biological context.
Purpose of the Study:
- To compare northern analysis data with microarray data for yeast gene expression.
- To identify co-regulated gene clusters and transcriptional activator targets.
- To investigate global controls on gene expression, including codon usage.
Main Methods:
- Classical northern analysis of 1008 open reading frames (ORFs) in yeast under eight physiological conditions.
- Comparison with publicly available microarray data from the diauxic transition.
- Identification of co-regulated gene clusters and analysis of codon usage bias.
Main Results:
- Northern and microarray data comparison emphasized the importance of biologically equivalent conditions and data normalization.
- Co-regulated gene clusters were identified, linking known genes to known activators and unknown genes to putative novel targets.
- A global control mechanism was observed: highly expressed ORFs after nutritional upshift favored preferred codons, unlike those in starvation.
Conclusions:
- Standardization of data normalization and comparison of biologically equivalent conditions are vital for accurate gene expression studies.
- This study provides a framework for identifying transcriptional targets and understanding gene regulation in yeast.
- Codon usage bias in yeast gene expression is influenced by translational capacity and nutrient availability.
