Natural Cubic Spline Regression Modeling Followed by Dynamic Network Reconstruction for the Identification of Radiation-Sensitivity Gene Association Networks from Time-course Transcriptome data.

ABSTRACT: Time course gene-expression profiling was conducted in human lymphoblastoid cell lines (LUCY) after exposure with 1Gy and 10Gy gamma irradiation. Differentially expressed genes were identified using natural cubic spline regression modeling (NCSRM) and subsequently subjected to gene regulatory network reconstruction using a partial correlation approach (GeneNet) followed by analysis of the network. Senescence-associated signalling was identified as the chief regulatory network of radiation sensitivity of normal cells.

ORGANISM(S): Homo sapiens

SUBMITTER: Kristian Unger 

PROVIDER: E-MTAB-4829 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress