Predicting breast cancer using an expression values weighted clinical classifier

Background

Clinical data, such as patient history, laboratory analysis, ultrasound parameters-which are the basis of day-to-day clinical decision support-are often used to guide the clinical management of cancer in the presence of microarray data. Several data fusion techniques are available to integrate genomics or proteomics data, but only a few studies have created a single prediction model using both gene expression and clinical data. These studies often remain inconclusive regarding an obtained improvement in prediction performance. To improve clinical management, these data should be fully exploited. This requires efficient algorithms to integrate these data sets and design a final classifier.LS-SVM classifiers and generalized eigenvalue/singular value decompositions are successfully used in many bioinformatics applications for prediction tasks. While bringing up the benefits of these two techniques, we propose a machine learning approach, a weighted LS-SVM classifier to integrate two data sources: microarray and clinical parameters.

Results

We compared and evaluated the proposed methods on five breast cancer case studies. Compared to LS-SVM classifier on individual data sets, generalized eigenvalue decomposition (GEVD) and kernel GEVD, the proposed weighted LS-SVM classifier offers good prediction performance, in terms of test area under ROC Curve (AUC), on all breast cancer case studies.

Conclusions

Thus a clinical classifier weighted with microarray data set results in significantly improved diagnosis, prognosis and prediction responses to therapy. The proposed model has been shown as a promising mathematical framework in both data fusion and non-linear classification problems.     

Molecular assessment of diversity among endophytic diazotrophs isolated from subtropical Indian sugarcane

Twenty-two endophytic bacterial isolates from the roots of sugarcane were compared morphologically, biochemically and genetically. Gram staining, colony pigment, texture and other cultural characteristics were taken for morphological characterization. Oxidation-fermentation tests for D-glucose and D-sucrose, production of acid and hydrogen from different carbon source, oxidase activity, antibiotic and drug resistance patterns were chosen as the biochemical and physiological criteria. Twelve random decamer primers were used to analyze and compare these isolates through RAPD among themselves as well as with known standard diazotrophic strains. The isolates were compared through dendrograms constructed on the basis of similarity patterns obtained from biochemical and RAPD analysis. The estimated diversity through RAPD analysis was more evident than the diversity on the basis of morphological and biochemical characters. Within Acetobacter group, the isolates showed substantial genetic diversity for future exploitation as PGPRs and diazotrophic associative endophytes.     

Multiple factors interact to produce responses resembling spectrum of human disease in Campylobacter jejuni infected C57BL/6 IL-10-/- mice

Background  

Campylobacter jejuni infection produces a spectrum of clinical presentations in humans - including asymptomatic carriage, watery diarrhea, and bloody diarrhea - and has been epidemiologically associated with subsequent autoimmune neuropathies. This microorganism is genetically variable and possesses genetic mechanisms that may contribute to variability in nature. However, relationships between genetic variation in the pathogen and variation in disease manifestation in the host are not understood. We took a comparative experimental approach to explore differences among different C. jejuni strains and studied the effect of diet on disease manifestation in an interleukin-10 deficient mouse model.     

Lipid Peroxidation and Antioxidant Activities Involved in Resistance Response against Downy Mildew in Opium Poppy

The aim of this study was to observe the lipid peroxidation (LP) of cell membranes and antioxidant systems in response to inoculation of Peronospora arborescens causing downy mildew (DM) in opium poppy. Contents of the LP product, malondialdehyde (MDA) and antioxidant glutathione (GSH) were determined in leaves of two opium poppy genotypes, Pps‐1 (highly resistant to DM) and Jawahar‐16 (highly susceptible to DM) at different time intervals after inoculation (12 h, 24 h, 48 h and 72 h). The provided GSH content corresponded to that of total non‐protein sulfhydryl groups. In leaves of Jawahar‐16, a significant decrease in concentration of GSH and a persistent increase in concentration of MDA were recorded after inoculation in comparison to leaves of control plants. The continuous decrease in GSH content contributed to damage of cell membranes leading to disease development in Jawahar‐16. On the other hand in a resistant genotype (Pps‐1), initially at 12 h after inoculation (hai) the level of GSH was found to be high, but a transient and highly significant decrease in content of GSH and increase in content of MDA was observed at 24 hai in comparison to control plants of same genotype and also in comparison to inoculated plants of susceptible genotype (Jawahar‐16). These results indicate that generation of GSH and MDA is negatively correlated during the infection process as found in the case of DM‐resistant genotype Pps‐1 at 24hai, which also suggests an increased need by the host plant for oxidative stress, required for hypersensitive response mediated defense mechanism.     

Characterization of cytochrome P450 monooxygenases isolated from trichome enriched fraction of Artemisia annua L. leaf

CYPs have major role in the biosynthesis and modification of secondary metabolites. Predicting the possible involvement of CYPs in secondary metabolism, 20 partial sequences were amplified from the cDNA of trichome enriched tissue of Artemisia annua. Seven CYPs were converted to full length and assigned to different families based on sequence homology. These were co-expressed with CPR in Saccharomyces cerevisiae and microsome fractions were assayed for conversion of sesquiterpenes, phenols and fatty acid substrates. CIM_CYP02(c73) and CIM_CYP05(c81) converted trans-cinnamic acid to p-coumaric acid; and capric acid, lauric acid to their hydroxylated products, respectively. Higher expression of CIM_CYP71AV1, CIM_CYP03(c72a), CIM_CYP06(c72b), CIM_CYP02(c73) and CIM_CYP04(c83) was observed in the mature leaf, whereas expression of CIM_CYP05(c81) was more in the seedling. CIM_CYP71AV1, CIM_CYP02(c73) and CIM_CYP04(c83) expressed more in the flower bud compared to the leaf, with minor expression in stem. All CYPs' expression increased progressively with time after wounding except for CIM_CYP07(c92). These results relate involvement of CIM_CYP02(c73) to phenyl-propanoid metabolism in the leaf and CIM_CYP05(c81) to fatty acid metabolism in the seedling. Expression of CIM_CYP71AV1 and CIM_CYP02(c73) significantly increased when sprayed with trans-cinnamic acid indicating a relationship between phenylpropanoid and artemisinic acid pathways.     

The influence of water level on macrophyte growth and trophic interactions in eutrophic Mediterranean shallow lakes: a mesocosm experiment with and without fish

1. Water‐level fluctuations are typical of lakes located in the semi‐arid Mediterranean region, which is characterised by warm rainy winters and hot dry summers. Ongoing climate change may exacerbate fluctuations and lead to more severe episodes of drought, so information on the effects of water level on the functioning of lake ecosystems in such regions is crucial. 2. In eutrophic Lake Eymir, Turkey, we conducted a 4‐month (summer) field experiment using cylindrical 0.8‐m‐ (low‐water‐level) and 1.6‐m‐deep (high‐water‐level) mesocosms (kept open to the sediment and atmosphere). Fish (tench, Tinca tinca, and bleak, Alburnus escherichii) were added to half of the mesocosms, while the rest were kept fishless. Ten shoots of Potamogeton pectinatus were transplanted to each mesocosm. 3. Sampling for physicochemical variables, chlorophyll a (chl‐a), zooplankton and per cent plant volume inhabited (PVI%) by macrophytes was conducted weekly during the first 5 weeks, and subsequently biweekly. Macrophytes were harvested on the last sampling date. During the course of the experiment, the water level decreased by 0.41 ± 0.06 m. 4. Throughout the experiment, fish affected zooplankton abundance (?), nutrient concentrations (+), chl‐a (+) and water clarity (?) most strongly in the low‐water‐level mesocosms and the zooplankton community shifted towards dominance of small‐sized forms. The fishless mesocosms had a higher zooplankton/phytoplankton ratio, suggesting higher grazing. 5. Greatest macrophyte growth was observed in the low‐water‐level fishless mesocosms. However, despite high nutrient concentrations and low water clarity, macrophytes were also abundant in the fish mesocosms and particularly increased following a water‐level decrease from midsummer onwards. Macrophyte growth was poor in the high‐water‐level mesocosms, even in the fishless ones with high water clarity. This was ascribed to extensive periphyton development reducing light availability for the macrophytes. 6. Our results indicate that a reduction in water level during summer may help maintain the growth of macrophytes in Mediterranean eutrophic shallow lakes, despite a strong negative effect of fish predation on water clarity. It is therefore probable that an expected negative effect of global climate change on water clarity because of eutrophication and enhanced top‐down control of fish may be, at least partly, counteracted by reduced water level, provided that physical disturbance is not severe.     

Molecular Profiling for Genetic Variability in <Emphasis Type="Italic">Capsicum</Emphasis> Species Based on ISSR and RAPD Markers

The taxonomic identity of Capsicum species is found to be difficult as it displays variations at morpho-chemical characters. Twenty-two accessions of six Capsicum species, namely, C. annuum, C. baccatum, C. chinense, C. eximium, C. frutescens, and C. luteum were investigated for phenotypic diversity based on flower color and for genetic differences by molecular makers. The genetic cluster analyses of 27 RAPD and eight ISSR primers, respectively, revealed genetic similarities in the ranges of 23–88% and 11–96%. Principal component analysis of the pooled RAPD and ISSR data further supports the genetic similarity and groupings. Different species showed variations in relation to corolla shade of flower. C. annuum accessions formed a single cluster in the molecular analysis as maintaining their flower characteristic. C. chinense accession shared flower features with the accessions of C. frutescens and were found to be closer at genotypic level. C. luteum was found to be rather closer to C. baccatum complex, both phenotypically and genetically. The only accession of C. eximium presenting purple flowers falls apart from the groupings. The floral characteristics and the molecular markers are found to be useful toward the delineation of the species specificity in Capsicum collection and identification of genetic stock.