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The Analysis of Bionetwork Dynamics 2. Techniques and Application Examples 2.1. DNA Microarrays 2.2. Oligonucleotide Arrays 2.3. Gene Expression – Microarray Data Analysis 2.4. Protein Microarrays 2.5. Tissue Arrays 2.6. Fluorescence Correlation Spectroscopy and Fluorescence Cross--Correlation Spect
| Content Provider | Semantic Scholar |
|---|---|
| Copyright Year | 2011 |
| Abstract | An overview of translational, human oncogenomics, transcriptomics and cancer interactomic networks is presented together with basic concepts and potential, new applications to Oncology and Integrative Cancer Biology. Novel translational oncogenomics research is rapidly expanding through the application of advanced technology, research findings and computational tools/models to both pharmaceutical and clinical problems. A selfcontained presentation is adopted that covers both fundamental concepts and the most recent biomedical, as well as clinical, applications. Sample analyses in recent clinical studies have shown that gene expression data can be employed to distinguish between tumor types as well as to predict outcomes. Potentially important applications of such results are individualized human cancer therapies or, in general, ‘personalized medicine’. Several cancer detection techniques are currently under development both in the direction of improved detection sensitivity and increased time resolution of cellular events, with the limits of single molecule detection and picosecond time resolution already reached. The urgency for the complete mapping of a human cancer interactome with the help of such novel, highefficiency / lowcost and ultrasensitive techniques is also pointed out. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://precedings.nature.com/documents/6190/version/2/files/npre20116190-2.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |