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Published on: November 12, 2012
Functional transcriptomes: comparative analysis of biological pathways and processes in eukaryotes to infer genetic
Hidemasa Bono1, Yasushi Okazaki
1Laboratory for Genome Exploration Research Group, RIKEN Genomic Sciences Center (GSC), RIKEN Yokohama Institute, 1-7-22 Suehiro-cho, Tsurumi-ku, Kanagawa Yokohama 230-0045, Japan. bono@gsc.riken.go.jp
Current Opinion in Structural Biology
|July 20, 2002
Summary
This study used microarray technology to analyze gene expression patterns in mice and yeast. Findings reveal coordinated gene expression correlates with biological pathways, offering new insights into cellular processes.
Area of Science:
- Genomics
- Systems Biology
- Molecular Biology
Background:
- Microarray technology allows for large-scale monitoring of gene expression.
- Comparative analysis of transcriptome data offers insights into metabolic pathways and cellular processes.
- Coordinated gene expression suggests functional relationships between genes.
Purpose of the Study:
- To investigate the relationship between coordinated gene expression and biological pathways.
- To analyze one of the largest expression profiles of adult mice and developmental tissues.
- To compare gene expression data with existing yeast datasets.
Main Methods:
- Utilized microarray technology to generate genome-wide expression profiles.
- Compiled and analyzed large datasets of gene expression from mice and yeast.
- Calculated correlation coefficients to assess coordinated gene expression.
Main Results:
- Generated extensive gene expression profiles for adult mice and developmental tissues.
- Demonstrated that coordinated gene expression (high correlation coefficient) is closely linked to pathway maps.
- Confirmed findings using previously reported yeast expression data.
Conclusions:
- Coordinated gene expression is a strong indicator of genes involved in the same biological pathways or cascades.
- Comparative transcriptome analysis is a powerful tool for discovering new biological insights.
- The study provides a valuable resource for understanding gene regulation and cellular function.
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