TY - JOUR
T1 - Inter-species prediction of protein phosphorylation in the sbv IMPROVER species translation challenge
AU - Biehl, Michael
AU - Sadowski, Peter
AU - Bhanot, Gyan
AU - Bilal, Erhan
AU - Dayarian, Adel
AU - Meyer, Pablo
AU - Norel, Raquel
AU - Rhrissorrakrai, Kahn
AU - Zeller, Michael D.
AU - Hormoz, Sahand
N1 - Funding Information:
Funding: S.H., G.B. and A.D. were supported in part by the National Science Foundation under Grant No. NSF PHY11-25915. P.S. and M.Z. were supported by grants from the National Institutes of Health under NIH LM010235, NIH NLM T15 LM07443 and NSF IIS-0513376.
Publisher Copyright:
© 2014 The Author.
PY - 2015/2/15
Y1 - 2015/2/15
N2 - Motivation: Animal models are widely used in biomedical research for reasons ranging from practical to ethical. An important issue is whether rodent models are predictive of human biology. This has been addressed recently in the framework of a series of challenges designed by the systems biology verification for Industrial Methodology for Process Verification in Research (sbv IMPROVER) initiative. In particular, one of the sub-challenges was devoted to the prediction of protein phosphorylation responses in human bronchial epithelial cells, exposed to a number of different chemical stimuli, given the responses in rat bronchial epithelial cells. Participating teams were asked to make inter-species predictions on the basis of available training examples, comprising transcriptomics and phosphoproteomics data. Results: Here, the two best performing teams present their datadriven approaches and computational methods. In addition, post hoc analyses of the datasets and challenge results were performed by the participants and challenge organizers. The challenge outcome indicates that successful prediction of protein phosphorylation status in human based on rat phosphorylation levels is feasible. However, within the limitations of the computational tools used, the inclusion of gene expression data does not improve the prediction quality. The post hoc analysis of time-specific measurements sheds light on the signaling pathways in both species.
AB - Motivation: Animal models are widely used in biomedical research for reasons ranging from practical to ethical. An important issue is whether rodent models are predictive of human biology. This has been addressed recently in the framework of a series of challenges designed by the systems biology verification for Industrial Methodology for Process Verification in Research (sbv IMPROVER) initiative. In particular, one of the sub-challenges was devoted to the prediction of protein phosphorylation responses in human bronchial epithelial cells, exposed to a number of different chemical stimuli, given the responses in rat bronchial epithelial cells. Participating teams were asked to make inter-species predictions on the basis of available training examples, comprising transcriptomics and phosphoproteomics data. Results: Here, the two best performing teams present their datadriven approaches and computational methods. In addition, post hoc analyses of the datasets and challenge results were performed by the participants and challenge organizers. The challenge outcome indicates that successful prediction of protein phosphorylation status in human based on rat phosphorylation levels is feasible. However, within the limitations of the computational tools used, the inclusion of gene expression data does not improve the prediction quality. The post hoc analysis of time-specific measurements sheds light on the signaling pathways in both species.
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U2 - 10.1093/bioinformatics/btu407
DO - 10.1093/bioinformatics/btu407
M3 - Article
C2 - 24994890
AN - SCOPUS:84928983547
SN - 1367-4803
VL - 31
SP - 453
EP - 461
JO - Bioinformatics
JF - Bioinformatics
IS - 4
ER -