International Journal of Molecular Sciences (Sep 2021)

Slow Off-Rate Modified Aptamer (SOMAmer) Proteomic Analysis of Patient-Derived Malignant Glioma Identifies Distinct Cellular Proteomes

  • Thatchawan Thanasupawat,
  • Aleksandra Glogowska,
  • Christopher Pascoe,
  • Sai Nivedita Krishnan,
  • Maliha Munir,
  • Farhana Begum,
  • Jason Beiko,
  • Jerry Krcek,
  • Marc R. Del Bigio,
  • Marshall Pitz,
  • Yaoqing Shen,
  • Victor Spicer,
  • Kevin M. Coombs,
  • John Wilkins,
  • Sabine Hombach-Klonisch,
  • Thomas Klonisch

DOI
https://doi.org/10.3390/ijms22179566
Journal volume & issue
Vol. 22, no. 17
p. 9566

Abstract

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Malignant gliomas derive from brain glial cells and represent >75% of primary brain tumors. This includes anaplastic astrocytoma (grade III; AS), the most common and fatal glioblastoma multiforme (grade IV; GBM), and oligodendroglioma (ODG). We have generated patient-derived AS, GBM, and ODG cell models to study disease mechanisms and test patient-centered therapeutic strategies. We have used an aptamer-based high-throughput SOMAscan® 1.3K assay to determine the proteomic profiles of 1307 different analytes. SOMAscan® proteomes of AS and GBM self-organized into closely adjacent proteomes which were clearly distinct from ODG proteomes. GBM self-organized into four proteomic clusters of which SOMAscan® cluster 4 proteome predicted a highly inter-connected proteomic network. Several up- and down-regulated proteins relevant to glioma were successfully validated in GBM cell isolates across different SOMAscan® clusters and in corresponding GBM tissues. Slow off-rate modified aptamer proteomics is an attractive analytical tool for rapid proteomic stratification of different malignant gliomas and identified cluster-specific SOMAscan® signatures and functionalities in patient GBM cells.

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