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Identification of aberrant pathways and network activities from high-throughput data
Jinlian Wang1, Yuji Zhang, Catalin Marian
1Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC 20057, USA.
Abstract:
Many complex diseases such as cancer are associated with changes in biological pathways and molecular networks rather than being caused by single gene alterations. A major challenge in the diagnosis and treatment of such diseases is to identify characteristic aberrancies in the biological pathways and molecular network activities and elucidate their relationship to the disease. This review presents recent progress in using high-throughput biological assays to decipher aberrant pathways and network activities. In particular, this review provides specific examples in which high-throughput data have been applied to identify relationships between diseases and aberrant pathways and network activities. The achievements in this field have been remarkable, but many challenges have yet to be addressed.
Insights
Complex diseases like cancer involve altered biological pathways, not just single genes. High-throughput assays help identify these pathway changes and their link to disease, aiding diagnosis and treatment strategies.
Area of Science:
- Molecular biology
- Systems biology
- Genomics
Background:
- Complex diseases, including cancer, arise from alterations in biological pathways and molecular networks, not solely from single gene mutations.
- Diagnosing and treating these diseases requires identifying aberrant pathway activities and understanding their connection to disease pathology.
Purpose of the Study:
- To review advancements in utilizing high-throughput biological assays for deciphering aberrant pathways and network activities.
- To highlight specific examples where high-throughput data have elucidated disease-pathway relationships.
Main Methods:
- Review of recent scientific literature on high-throughput biological assays.
- Analysis of case studies demonstrating the application of high-throughput data in disease research.
Main Results:
- High-throughput assays are effective tools for identifying molecular network and pathway aberrations.
- Successful identification of relationships between specific diseases and altered biological pathways has been achieved using this data.
Conclusions:
- Significant progress has been made in understanding disease mechanisms through pathway analysis.
- Further research is needed to overcome existing challenges in the field and fully leverage high-throughput data for clinical applications.
