Identification of NADH dehydrogenase 1 α subcomplex 5 capable to transform murine fibroblasts and overexpressed in human cervical carcinoma cell lines

Proteomic analysis of gemcitabine-induced drug resistance in pancreatic cancer cells

Currently, the most effective agent against pancreatic cancer is gemcitabine (GEM), which inhibits tumor growth by interfering with DNA replication and blocking DNA synthesis. However, GEM-induced drug resistance in pancreatic cancer compromises the therapeutic efficacy of GEM. To investigate the molecular mechanisms associated with GEM-induced resistance, 2D-DIGE and MALDI-TOF mass spectrometry were performed to compare the proteomic alterations of a panel of differential GEM-resistant PANC-1 cells with GEM-sensitive pancreatic cells. The proteomic results demonstrated that 33 proteins were differentially expressed between GEM-sensitive and GEM-resistant pancreatic cells. Of these, 22 proteins were shown to be resistance-specific and dose-dependent in the regulation of GEM. Proteomic analysis also revealed that proteins involved in biosynthesis and detoxification are significantly over-expressed in GEM-resistant PANC-1 cells. In contrast, proteins involved in vascular transport, bimolecular decomposition, and calcium-dependent signal regulation are significantly over-expressed in GEM-sensitive PANC-1 cells. Notably, both protein-protein interaction of the identified proteins with bioinformatic analysis and immunoblotting results showed that the GEM-induced pancreatic cell resistance might interplay with tumor suppressor protein p53. Our approach has been shown here to be useful for confidently detecting pancreatic proteins with differential resistance to GEM. Such proteins may be functionally involved in the mechanism of chemotherapy-induced resistance.

A serial analysis of gene expression profile of the Alzheimer's disease Tg2576 mouse model

Serial analysis of gene expression (SAGE), a technique that allows for the simultaneous detection of expression levels of the entire genome without a priori knowledge of gene sequences, was used to examine the transcriptional expression pattern of the Tg2576 mouse model of Alzheimer's disease (AD). Pairwise comparison between the Tg2576 and nontransgenic SAGE libraries identified a number of differentially expressed genes in the Tg2576 SAGE library, some of which were not previously revealed by the microarray studies. Real-time PCR was used to validate a panel of genes selected from the SAGE analysis in the Tg2576 mouse brain, as well as the hippocampus and temporal cortex of sporadic AD and normal age-matched controls. NADH dehydrogenase (ubiquinone) 1 alpha subcomplex 5 (NDUFA5) and FXYD domain-containing ion transport regulator 6 (FXYD6) were found to be significantly decreased in the Tg2576 mouse brain and AD hippocampus. PTEN-induced putative kinase 1 (PINK1), phosphatidylethanolamine binding protein (PEBP), crystalline mu (CRYM), and neurogranin (NRGN) were significantly decreased in AD tissues. The gene ontologies represented in the Tg2576 data were statistically analyzed and demonstrated a significant under-representation of genes involved with G-protein-coupled receptor signaling and odorant binding, while genes significantly over-represented were focused on cellular communication and cellular physiological processes. The novel approach of profiling the Tg2576 mouse brain using SAGE has identified different genes that could subsequently be examined for their potential as peripheral diagnostic and prognostic markers for Alzheimer's disease.

Proteomic profiling of endothelial cells in human lung cancer

Genomic and proteomic analysis of normal and diseased tissues have yielded an abundance of molecular information for diagnostic and potential therapeutic targets. Changing the target of analysis from poorly accessible cells within tissues to easily accessible vascular endothelium has theoretical advantages in tissue-specific targeting. In this study, we sought to map a large-scale proteome of microvascular endothelium in human non-small cell lung cancer (NSCLC) and normal lung tissues, and identify lung cancer-related endothelial cell (EC)-selective proteins. Endothelial cells were isolated within NSCLC tissues and adjacent-normal lung tissue of lung cancer patients by using CD31-immunomagnetic beads. The complex proteins from the ECs were separated by one-dimensional gel electrophoresis, and the proteins in each gel band were digested by trypsin. Peptides were separated by online reverse-phase liquid-chromatography and analyzed by electrospray ionization (ESI) ion trap tandem mass spectrometry. Approximately 600-1000 proteins were identified in each individual sample. Five patient cases of paired individual data, extracted from the protein identification data sets of both normal- and cancer-derived ECs, were analyzed by subtractive proteomics. An average of 300 proteins was specifically identified from each lung cancer-derived EC isolate, compared to normal lung-derived ECs. With the use of several comparative analyses, we identified among those 300 proteins, 16 common candidate proteins that were detected in at least 3 of 5 cases specific to lung cancer-derived ECs. Proteins selectively identified in cancer-derived ECs, including coatomer protein complex, subunit gamma (COPG), and peroxiredoxin 4 (PRDX4), were validated by Western blot analysis. In an additional experiment in which 16 cancer samples were analyzed by immunohistochemistry, PRDX4, thymopoietin (TMPO), and COPG were confirmed to be abundantly expressed in lung cancer-derived ECs and in cancerous lung cells. Further ongoing analysis of these 16 candidate proteins will determine their potential applicability to NSCLC-specific diagnosis and therapeutics.