An integrative multi-platform analysis for discovering biomarkers of osteosarcoma.

ABSTRACT:

Background

SELDI-TOF-MS (Surface Enhanced Laser Desorption/Ionization-Time of Flight-Mass Spectrometry) has become an attractive approach for cancer biomarker discovery due to its ability to resolve low mass proteins and high-throughput capability. However, the analytes from mass spectrometry are described only by their mass-to-charge ratio (m/z) values without further identification and annotation. To discover potential biomarkers for early diagnosis of osteosarcoma, we designed an integrative workflow combining data sets from both SELDI-TOF-MS and gene microarray analysis.

Methods

After extracting the information for potential biomarkers from SELDI data and microarray analysis, their associations were further inferred by link-test to identify biomarkers that could likely b

SUBMITTER: Li G 

PROVIDER: S-EPMC2691408 | biostudies-literature | 2009 May

REPOSITORIES: biostudies-literature