Chapter

Human Cell Transformation

Volume 720 of the series Advances in Experimental Medicine and Biology pp 181-190

Date:

Human Fibroblasts for Large-Scale “Omics” Investigations of ATM Gene Function

  • Mira JungAffiliated withDepartment of Radiation Medicine, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center Email author 
  • , Olga TimofeevaAffiliated withDepartment of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center
  • , Amrita K. CheemaAffiliated withDepartment of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center
  • , Rency VargheseAffiliated withDepartment of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center
  • , Habtom RessomAffiliated withDepartment of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center
  • , Anatoly DritschiloAffiliated withDepartments of Oncology and Radiation Medicine, Lombardi Comprehensive Cancer Center, Georgetown University Medical CenterDepartment of Radiation Medicine, The Lombardi Comprehensive Cancer Center, Georgetown University Medical Center

* Final gross prices may vary according to local VAT.

Get Access

Abstract

ATM (gene mutated in ataxia-telangiectasia) is a critical central component of the pleiotropic responses of cells to ionizing radiation-induced stress. To gain insight into molecular mechanisms and to enhance our understanding of ATM functions, we have advanced a human model cell system, derived from genetically defined immortal fibroblasts, and we have applied high-throughput genomic, proteomic and metabolomic technologies for a systems level analysis. The cellular characterizations reported here provide the background for application of a systems analysis to integrate transcription, post-translational modifications and metabolic activity induced by exposure of cells to ionizing radiation. We present here a summary of the derivation and characterization of cells comprising this model cell system and review applications of this model to systems analysis of ATM functions.