Unknown

Dataset Information

0

Comprehensive characterization of glioblastoma tumor tissues for biomarker identification using mass spectrometry-based label-free quantitative proteomics.


ABSTRACT: Cancer is a complex disease; glioblastoma (GBM) is no exception. Short survival, poor prognosis, and very limited treatment options make it imperative to unravel the disease pathophysiology. The critically important identification of proteins that mediate various cellular events during disease is made possible with advancements in mass spectrometry (MS)-based proteomics. The objective of our study is to identify and characterize proteins that are differentially expressed in GBM to better understand their interactions and functions that lead to the disease condition. Further identification of upstream regulators will provide new potential therapeutic targets. We analyzed GBM tumors by SDS-PAGE fractionation with internal DNA markers followed by liquid chromatography-tandem mass spectrometry (MS). Brain tissue specimens obtained for clinical purposes during epilepsy surgeries were used as controls, and the quantification of MS data was performed by label-free spectral counting. The differentially expressed proteins were further characterized by Ingenuity Pathway Analysis (IPA) to identify protein interactions, functions, and upstream regulators. Our study identified several important proteins that are involved in GBM progression. The IPA revealed glioma activation with z score 2.236 during unbiased core analysis. Upstream regulators STAT3 and SP1 were activated and CTNN? was inhibited. We verified overexpression of several proteins by immunoblot to complement the MS data. This work represents an important step towards the identification of GBM biomarkers, which could open avenues to identify therapeutic targets for better treatment of GBM patients. The workflow developed represents a powerful and efficient method to identify biomarkers in GBM.

SUBMITTER: Heroux MS 

PROVIDER: S-EPMC4587597 | biostudies-literature | 2014 Jul

REPOSITORIES: biostudies-literature

altmetric image

Publications

Comprehensive characterization of glioblastoma tumor tissues for biomarker identification using mass spectrometry-based label-free quantitative proteomics.

Heroux Maxime S MS   Chesnik Marla A MA   Halligan Brian D BD   Al-Gizawiy Mona M   Connelly Jennifer M JM   Mueller Wade M WM   Rand Scott D SD   Cochran Elizabeth J EJ   LaViolette Peter S PS   Malkin Mark G MG   Schmainda Kathleen M KM   Mirza Shama P SP  

Physiological genomics 20140506 13


Cancer is a complex disease; glioblastoma (GBM) is no exception. Short survival, poor prognosis, and very limited treatment options make it imperative to unravel the disease pathophysiology. The critically important identification of proteins that mediate various cellular events during disease is made possible with advancements in mass spectrometry (MS)-based proteomics. The objective of our study is to identify and characterize proteins that are differentially expressed in GBM to better underst  ...[more]

Similar Datasets

| S-EPMC4148364 | biostudies-literature
| S-EPMC3592467 | biostudies-literature
| S-EPMC11208500 | biostudies-literature
| S-EPMC6466823 | biostudies-literature
| S-EPMC5814520 | biostudies-literature
| S-EPMC6249692 | biostudies-literature
| S-EPMC9365283 | biostudies-literature
| S-EPMC5618239 | biostudies-literature
| S-EPMC2667347 | biostudies-literature
| S-EPMC7642908 | biostudies-literature