Identification of clinically relevant protein targets in prostate cancer with 2D-DIGE coupled mass spectrometry and systems biology network platform

Prostate cancer (PCa) is the most common type of cancer found in men and among the leading causes of cancer death in the western world. In the present study, we compared the individual protein expression patterns from histologically characterized PCa and the surrounding benign tissue obtained by manual micro dissection using highly sensitive two-dimensional differential gel electrophoresis (2D-DIGE) coupled with mass spectrometry. Proteomic data revealed 118 protein spots to be differentially expressed in cancer (n = 24) compared to benign (n = 21) prostate tissue. These spots were analysed by MALDI-TOF-MS/MS and 79 different proteins were identified. Using principal component analysis we could clearly separate tumor and normal tissue and two distinct tumor groups based on the protein expression pattern. By using a systems biology approach, we could map many of these proteins both into major pathways involved in PCa progression as well as into a group of potential diagnostic and/or prognostic markers. Due to complexity of the highly interconnected shortest pathway network, the functional sub networks revealed some of the potential candidate biomarker proteins for further validation. By using a systems biology approach, our study revealed novel proteins and molecular networks with altered expression in PCa. Further functional validation of individual proteins is ongoing and might provide new insights in PCa progression potentially leading to the design of novel diagnostic and therapeutic strategies.     

Omeprazole inhibits proliferation and modulates autophagy in pancreatic cancer cells

Background

Omeprazole has recently been described as a modulator of tumour chemoresistance, although its underlying molecular mechanisms remain controversial. Since pancreatic tumours are highly chemoresistant, a logical step would be to investigate the pharmacodynamic, morphological and biochemical effects of omeprazole on pancreatic cancer cell lines.

Methodology/Principal Findings

Dose-effect curves of omeprazole, pantoprazole, gemcitabine, 5-fluorouracil and the combinations of omeprazole and 5-fluorouracil or gemcitabine were generated for the pancreatic cancer cell lines MiaPaCa-2, ASPC-1, Colo357, PancTu-1, Panc1 and Panc89. They revealed that omeprazole inhibited proliferation at probably non-toxic concentrations and reversed the hormesis phenomena of 5-fluorouracil. Electron microscopy showed that omeprazole led to accumulation of phagophores and early autophagosomes in ASPC-1 and MiaPaCa-2 cells. Signal changes indicating inhibited proliferation and programmed cell death were found by proton NMR spectroscopy of both cell lines when treated with omeprazole which was identified intracellularly. Omeprazole modulates the lysosomal transport pathway as shown by Western blot analysis of the expression of LAMP-1, Cathepsin-D and β-COP in lysosome- and Golgi complex containing cell fractions. Acridine orange staining revealed that the pump function of the vATPase was not specifically inhibited by omeprazole. Gene expression of the autophagy-related LC3 gene as well as of Bad, Mdr-1, Atg12 and the vATPase was analysed after treatment of cells with 5-fluorouracil and omeprazole and confirmed the above mentioned results.

Conclusions

We hypothesise that omeprazole interacts with the regulatory functions of the vATPase without inhibiting its pump function. A modulation of the lysosomal transport pathway and autophagy is caused in pancreatic cancer cells leading to programmed cell death. This may circumvent common resistance mechanisms of pancreatic cancer. Since omeprazole use has already been established in clinical practice these results could lead to new clinical applications.     

Optical method for the determination of the oxygen-transfer capacity of small bioreactors based on sulfite oxidation.

The growth of microorganisms may be limited by operating conditions which provide an inadequate supply of oxygen. To determine the oxygen-transfer capacities of small-scale bioreactors such as shaking flasks, test tubes, and microtiter plates, a noninvasive easy-to-use optical method based on sulfite oxidation has been developed. The model system of sodium sulfite was first optimized in shaking-flask experiments for this special application. The reaction conditions (pH, buffer, and catalyst concentration) were adjusted to obtain a constant oxygen transfer rate for the whole period of the sulfite oxidation reaction. The sharp decrease of the pH at the end of the oxidation, which is typical for this reaction, is visualized by adding a pH dye and used to measure the length of the reaction period. The oxygen-transfer capacity can then be calculated by the oxygen consumed during the complete stoichiometric transformation of sodium sulfite and the visually determined reaction time. The suitability of this optical measuring method for the determination of oxygen-transfer capacities in small-scale bioreactors was confirmed with an independent physical method applying an oxygen electrode. The correlation factor for the maximum oxygen-transfer capacity between the chemical model system and a culture of Pseudomonas putida CA-3 was determined in shaking flasks. The newly developed optical measuring method was finally used for the determination of oxygen-transfer capacities of different types of transparent small-scale bioreactors.     

Inactivation of Ku-mediated end joining suppresses mec1Delta lethality by depleting the ribonucleotide reductase inhibitor Sml1 through a pathway controlled by Tel1 kinase and the Mre11 complex

RAD53 and MEC1 are essential Saccharomyces cerevisiae genes required for the DNA replication and DNA damage checkpoint responses. Their lethality can be suppressed by increasing the intracellular pool of deoxynucleotide triphosphates. We report that deletion of YKU70 or YKU80 suppresses mec1Delta, but not rad53Delta, lethality. We show that suppression of mec1Delta lethality is not due to Ku--associated telomeric defects but rather results from the inability of Ku- cells to efficiently repair DNA double strand breaks by nonhomologous end joining. Consistent with these results, mec1Delta lethality is also suppressed by lif1Delta, which like yku70Delta and yku80Delta, prevents nonhomologous end joining. The viability of yku70Delta mec1Delta and yku80Delta mec1Delta cells depends on the ATM-related Tel1 kinase, the Mre11-Rad50-Xrs2 complex, and the DNA damage checkpoint protein Rad9. We further report that this Mec1-independent pathway converges with the Rad53/Dun1-regulated checkpoint kinase cascade and leads to the degradation of the ribonucleotide reductase inhibitor Sml1.     

Colocalization of oxidized low-density lipoprotein, caspase-3, cyclooxygenase-2, and macrophage migration inhibitory factor in arteriosclerotic human carotid arteries

Apoptotic and inflammatory processes occur in human arteriosclerotic lesions. We examined the hypothesis whether both processes are possibly associated by studying the colocalization of corresponding markers. In 11 human arteriosclerotic carotid arteries, proapoptotic markers (CPP32 (caspase-3), poly(ADP-ribose) polymerase, apoptosis-inducing factor, c-Jun/AP-1, and p53) and proinflammatory markers (macrophage migration inhibitory factor (MIF) and cyclooxygenase-2) were found in macrophages (MΦ) evaluated by computer-assisted immunohistomorphometry. Double-labeling studies demonstrated a colocalization of, both, proapoptotic and proinflammatory markers in these MΦ. Moreover, these MΦ also contained oxidized low-density lipoproteins (oxLDL). Exposure of cultured human MΦ to oxLDL, C₆-ceramide, and tumor necrosis factor-alpha or H₂O₂ resulted in a significant increase of the apoptosis rate as well as of the MIF protein expression. Our study of MΦ in arteriosclerotic carotid arteries and in vitro experiments provide evidence that markers of apoptosis and inflammation are not only significantly increased but are also coexpressed. We conclude there are reciprocal modulatory interactions between apoptotic and inflammatory pathways in human plaque MΦ, which might importantly modify plaque progression or stability. J. Metz and R. Kinscherf are senior authors.     

Genetic variability in a genomic region with long-range linkage disequilibrium reveals traces of a bottleneck in the history of the European population

The inference of the demographic history of populations from genetic variability data is not only of academic interest. It also provides background information for the identification of genes which may have played a role in human evolution or in the aetiology of human disease. To obtain a clear picture of this background, it is necessary to compare data obtained from a number of genomic loci. Due to its very low recombination rate, the NF1 gene region can be regarded as a further suitable locus. A combined resequencing and SNP typing project in a European population disclosed the presence of only two well separated subgroups of NF1 sequences. Statistical analysis revealed a bimodal distribution of the pairwise differences, a positive value of Tajima’s D and a TMRCA of 700,000 years for the whole sample, and pairwise differences indicative for a growing population and TMRCAs of 130,000 to 150,000 years for the subgroups. Together, the data lead to a model that the recent European population went through a bottleneck during the last 150,000 years of its history. Regarding the given timeframe, this bottleneck could either reflect a speciation event which led to the anatomically modern human (AMH), or a severe reduction of the population size during the emigration of AMHs out of Africa or the immigration into Europe.