Allelopathy of Baltic Sea cyanobacteria: no evidence for the role of nodularin

Extracts of Aphanizomenon flos-aquae and Nodularia spumigena,the two most common cyanobacteria forming recurrent blooms inthe Baltic Sea, decrease the abundance of some phytoplanktonspecies via the release of allelopathic substances. We investigatedhow cell-free filtrates of the two cyanobacteria, as well aspurified hepatotoxin nodularin, produced by N. spumigena affectedcell numbers, chlorophyll a content and ¹⁴CO₂ uptake of thecryptophyte Rhodomonas sp. Both cyanobacterial filtrates significantlyretarded the growth of Rhodomonas sp., A. flos-aquae filtrateup to 46%, whereas purified nodularin showed no significanteffect on any of the growth parameters of the cryptophyte. Theseresults suggest that the allelopathic effect of N. spumigenais most probably due to metabolite(s) other than nodularin,possibly acting via the damage of the target cells.     

Microplate screening assay for binding of ligands to bovine or reindeer beta-lactoglobulins

Several analytical methods have been used to determine whether ligands bind to bovine beta-lactoglobulin (betaLG). The most common methods are based on fluorescence quenching. We have miniaturised this method from a quartz cell to a 96-well plate. The miniaturisation was evaluated using retinol. The binding constants between the two methods demonstrated a good correlation. The 96-well plate method is much faster and allows many references to be used in the same analysis. The miniaturised method was used to study the binding of three different ligands (4-HPR, arotinoid, warfarinyl palmitate) modelled to bind to betaLG. The binding data showed that all of these ligands bound to betaLG. The method was further used to demonstrate that reindeer betaLG could also bind the four ligands in the same way as bovine betaLG. Because one aim is to use bovine and reindeer betaLG as a binder molecule for aliments in e.g. functional food or for drugs, the influence of pH was also studied and demonstrated that short-term acidic conditions had only a slight effect on the binding properties.     

Combined experimental and statistical strategy for mass spectrometry based serum protein profiling for diagnosis of breast cancer: a case-control study

Serum protein profiling by mass spectrometry is a promising method for early detection of cancer. We have implemented a combined strategy based on matrix-assisted laser desorption ionization mass spectrometry (MALDI MS) and statistical data analysis for serum protein profiling and applied it in a well-described breast cancer case-control study. A rigorous sample collection protocol ensured high quality specimen and reduced bias from preanalytical factors. Preoperative serum samples obtained from 48 breast cancer patients and 28 controls were used to generate MALDI MS protein profiles. A total of nine mass spectrometric protein profiles were obtained for each serum sample. A total of 533 common peaks were defined and represented a 'reference protein profile'. Among these 533 common peaks, we identified 72 peaks exhibiting statistically significant intensity differences ( p < 0.01) between cases and controls. A diagnostic rule based on these 72 mass values was constructed and exhibited a cross-validated sensitivity and specificity of approximately 85% for the detection of breast cancer. With this method, it was possible to distinguish early stage cancers from controls without major loss of sensitivity and specificity. We conclude that optimized serum sample handling and mass spectrometry data acquisition strategies in combination with statistical analysis provide a viable platform for serum protein profiling in cancer diagnosis.     

Reproducibility of mass spectrometry based protein profiles for diagnosis of breast cancer across clinical studies: a systematic review

Serum protein profiling by mass spectrometry has achieved attention as a promising technology in oncoproteomics. We performed a systematic review of published reports on protein profiling as a diagnostic tool for breast cancer. The MEDLINE, EMBASE, and COCHRANE databases were searched for original studies reporting discriminatory protein peaks for breast cancer as either protein identity or as m/ z values in the period from January 1995 to October 2006. To address the important aspect of reproducibility of mass spectrometry data across different clinical studies, we compared the published lists of potential discriminatory peaks with those peaks detected in an original MALDI MS protein profiling study performed by our own research group. A total of 20 protein/peptide profiling studies were eligible for inclusion in the systematic review. Only 3 reports included information on protein identity. Although the studies revealed a considerable heterogeneity in relation to experimental design, biological variation, preanalytical conditions, methods of computational data analysis, and analytical reproducibility of profiles, we found that 45% of peaks previously reported to correlate with breast cancer were also detected in our experimental study. Furthermore, 25% of these redetected peaks also showed a significant difference between cases and controls in our study. Thus, despite known problems related to reproducibility, we were able to demonstrate overlap in peaks between clinical studies indicating some convergence toward a set of common discriminating, reproducible peaks for breast cancer. These peaks should be further characterized for identification of the protein identity and validated as biomarkers for breast cancer.     

Transmembrane carbonic anhydrase isozymes IX and XII in the female mouse reproductive organs

Background  

Carbonic anhydrase (CA) classically catalyses the reversible hydration of dissolved CO₂ to form bicarbonate ions and protons. The twelve active CA isozymes are thought to regulate a variety of cellular functions including several processes in the reproductive systems.     

Minireview: Inflammation: an instigator of more aggressive estrogen receptor (ER) positive breast cancers

Approximately 75% of breast tumors express the estrogen receptor (ER), and women with these tumors will receive endocrine therapy. Unfortunately, up to 50% of these patients will fail ER-targeted therapies due to either de novo or acquired resistance. ER-positive tumors can be classified based on gene expression profiles into Luminal A- and Luminal B-intrinsic subtypes, with distinctly different responses to endocrine therapy and overall patient outcome. However, the underlying biology causing this tumor heterogeneity has yet to become clear. This review will explore the role of inflammation as a risk factor in breast cancer as well as a player in the development of more aggressive, therapy-resistant ER-positive breast cancers. First, breast cancer risk factors, such as obesity and mammary gland involution after pregnancy, which can foster an inflammatory microenvironment within the breast, will be described. Second, inflammatory components of the tumor microenvironment, including tumor-associated macrophages and proinflammatory cytokines, which can act on nearby breast cancer cells and modulate tumor phenotype, will be explored. Finally, activation of the nuclear factor κB (NF-κB) pathway and its cross talk with ER in the regulation of key genes in the promotion of more aggressive breast cancers will be reviewed. From these multiple lines of evidence, we propose that inflammation may promote more aggressive ER-positive tumors and that combination therapy targeting both inflammation and estrogen production or actions could benefit a significant portion of women whose ER-positive breast tumors fail to respond to endocrine therapy.     

Sampling strategies for assessing the overall density of the cassava green mite (Mononychellus tanajoa)

Six different sampling methods to estimate the density of the cassava green mite, Mononychellus tanajoa, are categorized according to whether leaves or leaflets are used as secondary sampling units and whether the number of leaves on the sampled plants are enumerated, estimated from an independent plant sample, or not censused at all. In the last case, sampling can provide information only on the average number of mites per leaf and its variance, while information on stratum sizes is necessary to estimate the mean number of mites per plant as well. It is shown that leaflet-sampling is as reliable as leaf-sampling for the same number of sampling units. When stratum sizes are estimated from a separate plant sample, sampling time may also be reduced, but the estimated mean density and its variance may be biased if mite density and plant size are correlated. Sampling data show that the within-plant variance contributes relatively little to the overall variance of the population density estimates. It points at a sampling strategy in which the number of primary units (plants) is as large as possible at the expense of secondary units (leaflets) per plant. Mean-variance relationships may be applied to estimate sample variances and can be used even when only one leaflet is taken per plant per stratum. An unequal allocation of primary units among strata can increase precision, but the gain is small compared with an equal allocation. Leaf area can be predicted from the length of the longest leaflet and the number of leaflets.     

Methyl farnesoate binding proteins in tissues of the spider crab, Libinia emarginata

Methyl farnesoate (MF) binding proteins (MFBPs) were found in the ovaries, testes, accessory glands, and hemolymph of the spider crab Libinia emarginata, by photoaffinity labeling the tissues in vitro with tritiated farnesyl diazomethyl ketone ([3H]-FDK). Specificity was demonstrated by competitive displacement of [3H]-FDK with MF. SDS-PAGE followed by fluorography revealed several labeled proteins in the hemolymph and testes with molecular masses ranging from 29 to 116 kDa, and two in the ovary that were 97 and 70 kDa. Tissues from reproductive animals bound twice as much label per gram weight compared to those that were from non-reproductive crabs.