TY - JOUR
T1 - The species translation challenge - A systems biology perspective on human and rat bronchial epithelial cells
AU - Poussin, Carine
AU - Mathis, Carole
AU - Alexopoulos, Leonidas G.
AU - Messinis, Dimitris E.
AU - Dulize, Rémi H.J.
AU - Belcastro, Vincenzo
AU - Melas, Ioannis N.
AU - Sakellaropoulos, Theodore
AU - Rhrissorrakrai, Kahn
AU - Bilal, Erhan
AU - Meyer, Pablo
AU - Talikka, Marja
AU - Boué, Stéphanie
AU - Norel, Raquel
AU - Rice, John J.
AU - Stolovitzky, Gustavo
AU - Ivanov, Nikolai V.
AU - Peitsch, Manuel C.
AU - Hoeng, Julia
PY - 2014/6/10
Y1 - 2014/6/10
N2 - The biological responses to external cues such as drugs, chemicals, viruses and hormones, is an essential question in biomedicine and in the field of toxicology, and cannot be easily studied in humans. Thus, biomedical research has continuously relied on animal models for studying the impact of these compounds and attempted to " translate" the results to humans. In this context, the SBV IMPROVER (Systems Biology Verification for Industrial Methodology for PROcess VErification in Research) collaborative initiative, which uses crowd-sourcing techniques to address fundamental questions in systems biology, invited scientists to deploy their own computational methodologies to make predictions on species translatability. A multi-layer systems biology dataset was generated that was comprised of phosphoproteomics, transcriptomics and cytokine data derived from normal human (NHBE) and rat (NRBE) bronchial epithelial cells exposed in parallel to more than 50 different stimuli under identical conditions. The present manuscript describes in detail the experimental settings, generation, processing and quality control analysis of the multi-layer omics dataset accessible in public repositories for further intra- and inter-species translation studies.
AB - The biological responses to external cues such as drugs, chemicals, viruses and hormones, is an essential question in biomedicine and in the field of toxicology, and cannot be easily studied in humans. Thus, biomedical research has continuously relied on animal models for studying the impact of these compounds and attempted to " translate" the results to humans. In this context, the SBV IMPROVER (Systems Biology Verification for Industrial Methodology for PROcess VErification in Research) collaborative initiative, which uses crowd-sourcing techniques to address fundamental questions in systems biology, invited scientists to deploy their own computational methodologies to make predictions on species translatability. A multi-layer systems biology dataset was generated that was comprised of phosphoproteomics, transcriptomics and cytokine data derived from normal human (NHBE) and rat (NRBE) bronchial epithelial cells exposed in parallel to more than 50 different stimuli under identical conditions. The present manuscript describes in detail the experimental settings, generation, processing and quality control analysis of the multi-layer omics dataset accessible in public repositories for further intra- and inter-species translation studies.
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U2 - 10.1038/sdata.2014.9
DO - 10.1038/sdata.2014.9
M3 - Article
C2 - 25977767
AN - SCOPUS:84928475201
SN - 2052-4463
VL - 1
JO - Scientific Data
JF - Scientific Data
M1 - 140009
ER -