| Autor: |
Desai K, Brott D, Hu X, Christianson A |
| Jazyk: |
angličtina |
| Zdroj: |
International journal of data mining and bioinformatics [Int J Data Min Bioinform] 2015; Vol. 11 (1), pp. 102-14. |
| DOI: |
10.1504/ijdmb.2015.066339 |
| Abstrakt: |
Systems toxicology, a branch of toxicology that studies drug effects at the level of biological systems, offers exciting opportunities to discover toxicity-related sub-networks using high-throughput technologies. This paper takes a computational approach to systems toxicology and investigates the use of automated signalling path detection for discovery of potential biomarkers of drug-induced non-immune neutropenia. The algorithm utilises a gene expression change measure to mine a large protein interaction network and identify chemical-toxicity signalling paths. Cytoscape-based analysis of detected signalling paths with statistically significant path expression scores reveals 'hub' proteins and a smaller sub-network of path proteins. The importance of 'hub' and drug-toxicity signalling path proteins in haematological and apoptotic signal transduction networks is investigated in order to understand the value of automated signalling path detection approach. |
| Databáze: |
MEDLINE |
| Externí odkaz: |
|
