Slow Off-Rate Modified Aptamer (SOMAmer) Proteomic Analysis of Patient-Derived Malignant Glioma Identifies Distinct Cellular Proteomes.
Thatchawan ThanasupawatAleksandra GlogowskaChristopher D PascoeSai Nivedita KrishnanMaliha MunirFarhana BegumJason BeikoJerry KrcekMarc R Del BigioMarshall PitzYaoqing ShenVictor SpicerKevin M CoombsJohn WilkinsSabine Hombach-KlonischThomas KlonischPublished in: International journal of molecular sciences (2021)
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.
Keyphrases
- label free
- high throughput
- induced apoptosis
- single cell
- gold nanoparticles
- cell cycle arrest
- high grade
- sensitive detection
- genome wide
- mass spectrometry
- magnetic nanoparticles
- stem cells
- transcription factor
- oxidative stress
- endoplasmic reticulum stress
- multiple sclerosis
- white matter
- resting state
- neuropathic pain
- bone marrow