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 Emmett

Research output: Chapter in Book/Report/Conference proceedingConference 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 languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
Volume7347
DOIs
StatePublished - 2009
Externally publishedYes
EventEvolutionary and Bio-Inspired Computation: Theory and Applications III - Orlando, FL, United States
Duration: Apr 14 2009Apr 15 2009

Other

OtherEvolutionary and Bio-Inspired Computation: Theory and Applications III
CountryUnited States
CityOrlando, FL
Period4/14/094/15/09

Fingerprint

Gene therapy
Partial Least Squares Regression
Chemotherapy
Gangliosides
Computational Analysis
Data-driven
Lipids
Data mining
regression analysis
High-dimensional
Visualization
G(M3) Ganglioside
Modulation
Gene Therapy
Scaling
gene therapy
scaling
data mining
Cell
chemotherapy

Keywords

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

ASJC Scopus subject areas

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

Cite this

Lespinats, S., Meyer-Baese, A., He, H., Marshall, A. G., Conrad, C. A., & Emmett, M. (2009). Novel insights into the lipidome of glioblastoma cells based on a combined PLSR and DD-HDS computational analysis. In Proceedings of SPIE - The International Society for Optical Engineering (Vol. 7347). [73470I] 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; Marshall, Alan G.; Conrad, Charles A.; Emmett, Mark.

Proceedings of SPIE - The International Society for Optical Engineering. Vol. 7347 2009. 73470I.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Lespinats, S, Meyer-Baese, A, He, H, Marshall, AG, Conrad, CA & Emmett, M 2009, Novel insights into the lipidome of glioblastoma cells based on a combined PLSR and DD-HDS computational analysis. in Proceedings of SPIE - The International Society for Optical Engineering. vol. 7347, 73470I, 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 M. Novel insights into the lipidome of glioblastoma cells based on a combined PLSR and DD-HDS computational analysis. In Proceedings of SPIE - The International Society for Optical Engineering. Vol. 7347. 2009. 73470I https://doi.org/10.1117/12.818295
Lespinats, S. ; Meyer-Baese, Anke ; He, Huan ; Marshall, Alan G. ; Conrad, Charles A. ; Emmett, Mark. / Novel insights into the lipidome of glioblastoma cells based on a combined PLSR and DD-HDS computational analysis. Proceedings of SPIE - The International Society for Optical Engineering. Vol. 7347 2009.
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