TY - JOUR AU - Westra, Jurjen W. AU - Schlage, Walter K. AU - Frushour, Brian P. AU - Gebel, Stephan AU - Catlett, Natalie L. AU - Han, Wanjiang AU - Eddy, Sean F. AU - Hengstermann, Arnd AU - Matthews, Andrea L. AU - Mathis, Carole AU - Lichtner, Rosemarie B. AU - Poussin, Carine AU - Talikka, Marja AU - Veljkovic, Emilija AU - Van Hooser, Aaron A. AU - Wong, Benjamin AU - Maria, Michael J. AU - Peitsch, Manuel C. AU - Deehan, Renee AU - Hoeng, Julia PY - 2011 DA - 2011/07/02 TI - Construction of a computable cell proliferation network focused on non-diseased lung cells JO - BMC Systems Biology SP - 105 VL - 5 IS - 1 AB - Critical to advancing the systems-level evaluation of complex biological processes is the development of comprehensive networks and computational methods to apply to the analysis of systems biology data (transcriptomics, proteomics/phosphoproteomics, metabolomics, etc.). Ideally, these networks will be specifically designed to capture the normal, non-diseased biology of the tissue or cell types under investigation, and can be used with experimentally generated systems biology data to assess the biological impact of perturbations like xenobiotics and other cellular stresses. Lung cell proliferation is a key biological process to capture in such a network model, given the pivotal role that proliferation plays in lung diseases including cancer, chronic obstructive pulmonary disease (COPD), and fibrosis. Unfortunately, no such network has been available prior to this work. SN - 1752-0509 UR - https://doi.org/10.1186/1752-0509-5-105 DO - 10.1186/1752-0509-5-105 ID - Westra2011 ER -