Systems biology of ovine intestinal parasite resistance: disease gene modules and biomarkers
Gene regulatory network
DOI:
10.1039/c0mb00190b
Publication Date:
2010-11-12T09:33:43Z
AUTHORS (3)
ABSTRACT
This study reports on the molecular systems biology of gastrointestinal nematode (GIN) infection and potential biomarkers for GIN resistance in sheep. Microarray gene expression data were obtained 3 different tissues at 4 time points from sheep artificially challenged with two types nematodes, Haemonchus contortus (HC) Trichostrongylus colubriformis (TC). We employed an integrated approach, integrating main methods: standard differential analyses, weighted co-expression network analyses (WGCNA) quantitative genetic traits key biomarkers. Using we identified differentially expressed genes (DE) which responded differently HC compared to those TC. These interaction (e.g. MRPL51, SMEK2, CAT, MAPK1IP1 SLC25A20A) enriched Wnt receptor signalling pathway (p = 0.0132) positive regulation NFκβ transcription factor activity 0.00208). report FCER1A, a encoding high-affinity Fc region immunoglobulin E, is linked innate immunity analysis methods, modules that correlated length (disease modules). Hub (with high intramodular connectivity) filtered further identify are related FBX033, COL15A1, IGFBP7, FBLN1 IgCgamma). The found networks significantly associated functions such as T-cell B-cell regulations, TNF-alpha, interleukin cytokine production. In TC networks, protein catabolic process, heat shock binding, targeting localization, TNF apoptosis IGF binding. results provide specific targets therapeutic interventions insights into infections may be used infer same host species. also first apply concept estimating breeding values animals reveals 11 heritable candidate (0.05 0.92) could selection resistance.
SUPPLEMENTAL MATERIAL
Coming soon ....
REFERENCES (50)
CITATIONS (53)
EXTERNAL LINKS
PlumX Metrics
RECOMMENDATIONS
FAIR ASSESSMENT
Coming soon ....
JUPYTER LAB
Coming soon ....