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Gene expression microarrays and the integration of biological knowledge
1Department Bioinformatics, GlaxoSmithKline Pharmaceuticals, 1250 South Collegeville Rd, UP 1345, PO Box 5089, Collegeville, PA 19426, USA. Mick_O_Noordewier@sbphrd.com
Trends in Biotechnology
|October 6, 2001
Summary
High-density arrays enable large-scale RNA expression measurement. Integrating gene data, literature, and pathways is crucial for understanding cellular programs and identifying drug targets.
Area of Science:
- Genomics
- Molecular Biology
- Bioinformatics
Background:
- High-density arrays now allow for large-scale, parallel measurement of whole-genome RNA expression.
- Efficient utilization of this technology necessitates integrating diverse biological information sources.
Purpose of the Study:
- To highlight the importance of integrating gene identity, biomedical literature, and biochemical pathways for understanding gene expression.
- To discuss how advances in microarray technology and data will drive biological insights.
Main Methods:
- Utilizing high-density cDNA or oligonucleotide arrays for genome-wide expression profiling.
- Integrating multiple biological data types including gene identity, literature, and pathway information.
Main Results:
- Successful integration of diverse biological data is essential for deciphering cellular gene expression programs.
- Microarray advancements promise new insights into gene function prediction and drug target identification.
Conclusions:
- Integrating genomic data with other biological information is key to understanding molecular physiology.
- Future microarray data will accelerate discoveries in fundamental biology, including gene function and therapeutic target identification.