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

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

doi:10.1117/12.818295

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

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

Neuro-Oncology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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.

Original language	English (US)
Title of host publication	Evolutionary and Bio-Inspired Computation
Subtitle of host publication	Theory and Applications III
DOIs	https://doi.org/10.1117/12.818295
State	Published - 2009
Event	Evolutionary and Bio-Inspired Computation: Theory and Applications III - Orlando, FL, United States Duration: Apr 14 2009 → Apr 15 2009

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	7347
ISSN (Print)	0277-786X

Other

Other	Evolutionary and Bio-Inspired Computation: Theory and Applications III
Country/Territory	United States
City	Orlando, FL
Period	4/14/09 → 4/15/09

Keywords

Data-Driven high dimensional scaling
Gangliosides
Glioblastoma
Partial least square regression

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Condensed Matter Physics
Computer Science Applications
Applied Mathematics
Electrical and Electronic Engineering

Access to Document

10.1117/12.818295

Cite this

Lespinats, S., Meyer-Baese, A., He, H., Marshall, A. G., Conrad, C. A., & Emmett, M. R. (2009). Novel insights into the lipidome of glioblastoma cells based on a combined PLSR and DD-HDS computational analysis. In Evolutionary and Bio-Inspired Computation: Theory and Applications III Article 73470I (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 7347). https://doi.org/10.1117/12.818295

Novel insights into the lipidome of glioblastoma cells based on a combined PLSR and DD-HDS computational analysis. / Lespinats, S.; Meyer-Baese, Anke; He, Huan et al.
Evolutionary and Bio-Inspired Computation: Theory and Applications III. 2009. 73470I (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 7347).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Lespinats, S, Meyer-Baese, A, He, H, Marshall, AG, Conrad, CA & Emmett, MR 2009, Novel insights into the lipidome of glioblastoma cells based on a combined PLSR and DD-HDS computational analysis. in Evolutionary and Bio-Inspired Computation: Theory and Applications III., 73470I, Proceedings of SPIE - The International Society for Optical Engineering, vol. 7347, Evolutionary and Bio-Inspired Computation: Theory and Applications III, Orlando, FL, United States, 4/14/09. https://doi.org/10.1117/12.818295

Lespinats S, Meyer-Baese A, He H, Marshall AG, Conrad CA, Emmett MR. Novel insights into the lipidome of glioblastoma cells based on a combined PLSR and DD-HDS computational analysis. In Evolutionary and Bio-Inspired Computation: Theory and Applications III. 2009. 73470I. (Proceedings of SPIE - The International Society for Optical Engineering). doi: 10.1117/12.818295

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

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