Novel insights into the lipidome of glioblastoma cells based on a combined PLSR and DD-HDS computational analysis

S. Lespinats; Anke Meyer-Bäse; Huan He; Alan G. Marshall; Charles A. Conrad; Mark R. Emmett

doi:10.1117/12.818295

29 April 2009 Novel insights into the lipidome of glioblastoma cells based on a combined PLSR and DD-HDS computational analysis

S. Lespinats, Anke Meyer-Bäse, Huan He, Alan G. Marshall, Charles A. Conrad, Mark R. Emmett

Author Affiliations +

Proceedings Volume 7347, Evolutionary and Bio-Inspired Computation: Theory and Applications III; 73470I (2009) https://doi.org/10.1117/12.818295
Event: SPIE Defense, Security, and Sensing, 2009, Orlando, Florida, United States

Abstract

Partial Least Square Regression (PLSR) and Data-Driven High Dimensional Scaling (DD-HDS) are employed for the prediction and the visualization of changes in polar lipid expression induced by different combinations of wild-type (wt) p53 gene therapy and SN38 chemotherapy of U87 MG glioblastoma cells. A very detailed analysis of the gangliosides reveals that certain gangliosides of GM3 or GD1-type have unique properties not shared by the others. In summary, this preliminary work shows that data mining techniques are able to determine the modulation of gangliosides by different treatment combinations.

Citation Download Citation

S. Lespinats, Anke Meyer-Bäse, Huan He, Alan G. Marshall, Charles A. Conrad, and Mark R. Emmett "Novel insights into the lipidome of glioblastoma cells based on a combined PLSR and DD-HDS computational analysis", Proc. SPIE 7347, Evolutionary and Bio-Inspired Computation: Theory and Applications III, 73470I (29 April 2009); https://doi.org/10.1117/12.818295

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