The hidden impact of inter-individual genomic variations on cellular function
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Abstract
An analysis of the degree of genomic variation between two individual genomes suggests that there may be considerable biochemical differences among individuals. Examination of DNA sequence variations in 14 canonical signaling pathways and Monte-Carlo simulation modeling suggest that the kinetic and quantitative behavior of signaling pathways in many individuals may be significantly perturbed from the 'healthy' norm. Signal transduction pathways in some individuals may suffer context-specific failures, or they may function normally but fail easily in the face of additional environmental perturbations or somatic mutations. These findings argue for new systems biology approaches that can predict pathway status in individuals using personal genome sequences and biomarker data.
Additional Information
© 2010 SPIE. System Biology Pioneer Award, Invited Paper. This work was supported in part by NHLBI grant number HL089102 to HB.Attached Files
Published - Georgescu2010p13176Adaptive_Optics_Systems_Pts_1-3.pdf
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Georgescu2010p13176Adaptive_Optics_Systems_Pts_1-3.pdf
Additional details
Identifiers
- Eprint ID
- 22995
- Resolver ID
- CaltechAUTHORS:20110321-082530703
Funding
- NIH
- HL089102
Dates
- Created
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2011-03-21Created from EPrint's datestamp field
- Updated
-
2021-11-09Created from EPrint's last_modified field
Caltech Custom Metadata
- Series Name
- Proceedings of SPIE
- Series Volume or Issue Number
- 7703