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Chandran UR, Luthra S, Santana-Santos L, et al. Gene expression profiling distinguishes proneural glioma stem cells from mesenchymal glioma stem cells. Genom Data. 2015;5:333-336doi: 10.1016/j.gdata.2015.07.007.
Chandran, U. R., Luthra, S., Santana-Santos, L., Mao, P., Kim, S. H., Minata, M., Li, J., Benos, P. V., DeWang, M., Hu, B., Cheng, S. Y., Nakano, I., & Sobol, R. W. (2015). Gene expression profiling distinguishes proneural glioma stem cells from mesenchymal glioma stem cells. Genomics data, 5333-336. https://doi.org/10.1016/j.gdata.2015.07.007
Chandran, Uma R, et al. "Gene expression profiling distinguishes proneural glioma stem cells from mesenchymal glioma stem cells." Genomics data vol. 5 (2015): 333-336. doi: https://doi.org/10.1016/j.gdata.2015.07.007
Chandran UR, Luthra S, Santana-Santos L, Mao P, Kim SH, Minata M, Li J, Benos PV, DeWang M, Hu B, Cheng SY, Nakano I, Sobol RW. Gene expression profiling distinguishes proneural glioma stem cells from mesenchymal glioma stem cells. Genom Data. 2015 Sep 01;5:333-336. doi: 10.1016/j.gdata.2015.07.007. PMID: 26251826; PMCID: PMC4523279.
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Genom Data. 2015 Sep 01;5:333-336. doi: 10.1016/j.gdata.2015.07.007.

Gene expression profiling distinguishes proneural glioma stem cells from mesenchymal glioma stem cells.

Genomics data

Uma R Chandran, Soumya Luthra, Lucas Santana-Santos, Ping Mao, Sung-Hak Kim, Mutsuko Minata, Jianfeng Li, Panayiotis V Benos, Mao DeWang, Bo Hu, Shi-Yuan Cheng, Ichiro Nakano, Robert W Sobol

Affiliations

  1. Department of Biomedical Informatics, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA.
  2. Department of Biomedical Informatics, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA ; Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, PA 15213, USA.
  3. Department of Neurological Surgery, The Ohio State University, Columbus, OH 43210, USA ; Department of Neurosurgery, First Affiliated Hospital of Medical School, Xi'an Jiaotong University, Xi'an, Shaanxi, 710061, China.
  4. Department of Neurological Surgery, The Ohio State University, Columbus, OH 43210, USA.
  5. Department of Pharmacology & Chemical Biology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15216, USA ; University of Pittsburgh Cancer Institute, Hillman Cancer Center, Pittsburgh, PA 15213-1863, USA ; University of South Alabama Mitchell Cancer Institute, Mobile, AL 36604, USA.
  6. Department of Neurosurgery, First Affiliated Hospital of Medical School, Xi'an Jiaotong University, Xi'an, Shaanxi, 710061, China.
  7. Department of Neurology & Northwestern Brain Tumor Institute, Center for Genetic Medicine, Robert Lurie Comprehensive Cancer Center, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA.
  8. Department of Neurological Surgery, The Ohio State University, Columbus, OH 43210, USA ; James Comprehensive Cancer Center, The Ohio State University, Columbus, OH 43210, USA.
  9. Department of Pharmacology & Chemical Biology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15216, USA ; University of Pittsburgh Cancer Institute, Hillman Cancer Center, Pittsburgh, PA 15213-1863, USA ; Department of Human Genetics, University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA 15216, USA ; University of South Alabama Mitchell Cancer Institute, Mobile, AL 36604, USA.

PMID: 26251826 PMCID: PMC4523279 DOI: 10.1016/j.gdata.2015.07.007

Abstract

Tumor heterogeneity of high-grade glioma (HGG) is recognized by four clinically relevant subtypes based on core gene signatures. However, molecular signaling in glioma stem cells (GSCs) in individual HGG subtypes is poorly characterized. Previously we identified and characterized two mutually exclusive GSC subtypes with distinct activated signaling pathways and biological phenotypes. One GSC subtype presented with a gene signature resembling Proneural (PN) HGG, whereas the other was similar to Mesenchymal (Mes) HGG. Classical HGG-derived GSCs were sub-classified as either one of these two subtypes. Differential mRNA expression analysis of PN and Mes GSCs identified 5,796 differentially expressed genes, revealing a pronounced correlation with the corresponding PN or Mes HGGs. Mes GSCs displayed more aggressive phenotypes

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