This dataset comprises one SigmaPlot 13 file containing measured survival data and survival data predicted from the model coefficients selected by the LASSO procedure. This dataset is associated with the following publication: Ross, J., B. George, M. Bruno, and Y. Ge. Chemical-agnostic hazard prediction: statistical inference of in vitro toxicity pathways from proteomics responses to chemical mixtures. Computational Toxicology. Elsevier B.V., Amsterdam, NETHERLANDS, 2: 39-44, (2017).

The dataset include the following figures and tables: 1)Changes in protein expression of the 14 pathway regulators induced by Ni (II). 2)Hierarchical clustering of 12 differentially expressed or phosphorylated proteins in BEAS-2B cells treated with Ni (II). 3) Relative cell survival (X-axis) vs. protein expression or phosphorylation levels (Y-axis) in BEAS-2B control cells treated with Ni (II) at 4 different concentrations 4)Four representative proteins, PDIA1, ACADM, RUVBL1, PRDX2 identified using 2-DE profiling were either increased or decreased in a concentration responsive manner 5)Networks of proteins showing inter-relationships and pathways which was obtained using IPA 6)Schematic representation of the interplay of the core proteins and cytotoxicity pathways mediated by Ni (II). 7) some supplementary data. This dataset is associated with the following publication: Ge , Y., M. Bruno , N. Coates , K. Wallace , D. Andrews , A. Swank , W. Winnik , and J. Ross. Proteomic Assessment of Biochemical Pathways That Are Critical to Nickel-Induced Toxicity Responses in Human Epithelial Cells. PLoS ONE. Public Library of Science, San Francisco, CA, USA, 11(9): 1-20, (2016).