Aaron E. Chiou, Ph.D.

Postdoctoral Research Fellow


Curriculum vitae



Departments of Biomedical Data Science and of Radiology

Stanford University



Mapping and Profiling Lipid Distribution in a 3D Model of Breast Cancer Progression


Journal article


Netta Vidavsky, Jennie A M R Kunitake, M. E. Diaz-Rubio, Aaron E. Chiou, Hyun-Chae Loh, Sheng Zhang, A. Masic, C. Fischbach, L. Estroff
ACS central science, 2019

Semantic Scholar DOI PubMedCentral PubMed
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APA   Click to copy
Vidavsky, N., Kunitake, J. A. M. R., Diaz-Rubio, M. E., Chiou, A. E., Loh, H.-C., Zhang, S., … Estroff, L. (2019). Mapping and Profiling Lipid Distribution in a 3D Model of Breast Cancer Progression. ACS Central Science.


Chicago/Turabian   Click to copy
Vidavsky, Netta, Jennie A M R Kunitake, M. E. Diaz-Rubio, Aaron E. Chiou, Hyun-Chae Loh, Sheng Zhang, A. Masic, C. Fischbach, and L. Estroff. “Mapping and Profiling Lipid Distribution in a 3D Model of Breast Cancer Progression.” ACS central science (2019).


MLA   Click to copy
Vidavsky, Netta, et al. “Mapping and Profiling Lipid Distribution in a 3D Model of Breast Cancer Progression.” ACS Central Science, 2019.


BibTeX   Click to copy

@article{netta2019a,
  title = {Mapping and Profiling Lipid Distribution in a 3D Model of Breast Cancer Progression},
  year = {2019},
  journal = {ACS central science},
  author = {Vidavsky, Netta and Kunitake, Jennie A M R and Diaz-Rubio, M. E. and Chiou, Aaron E. and Loh, Hyun-Chae and Zhang, Sheng and Masic, A. and Fischbach, C. and Estroff, L.}
}

Abstract

Aberrant lipid accumulation and marked changes in cellular lipid profiles are related to breast cancer metabolism and disease progression. In vitro, these phenomena are primarily studied using cells cultured in monolayers (2D). Here, we employ multicellular spheroids, generated using the MCF10A cell line series of increasing malignancy potential, to better recapitulate the 3D microenvironmental conditions that cells experience in vivo. Breast cancer cell lipid compositions were assessed in 2D and 3D culture models as a function of malignancy using liquid chromatography coupled with mass spectrometry. Further, the spatial distribution of lipids was examined using Raman chemical imaging and lipid staining. We show that with changes in the cellular microenvironment when moving from 2D to 3D cell cultures, total lipid amounts decrease significantly, while the ratio of acylglycerols to membrane lipids increases. This ratio increase could be associated with the formation of large lipid droplets (>10 μm) that are spatially evident throughout the spheroids but absent in 2D cultures. Additionally, we found a significant difference in lipid profiles between the more and less malignant spheroids, including changes that support de novo sphingolipid production and a reduction in ether-linked lipid fractions in the invasive spheroids. These differences in lipid profiles as a function of cell malignancy and microenvironment highlight the importance of coupled spatial and lipidomic studies to better understand the connections between lipid metabolism and cancer.


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