New models towards assessing anti-cancer therapeutics

Cancer is the subject of intense research around the world, but many questions about how the disease works remain unanswered. How exactly does cancer start and how do tumours grow? In fact, at present there are ten times more anticancer drugs being tested in clinical trials than there were 15 years ago. However, many of the new anticancer agents are predicted to show clinical benefit in only small subpopulations of patients. The cancer stem cell model could explain not only how some cancers work but also why patients suffer relapses, providing a good opportunity to gain insight into the reasons why agents work or, more commonly, don't work, before going into a clinical trial.     

Genotyping selection for resistance against tomato yellow leaf curl virus (TYLCV) conferred by Ty-1 and Ty-3 genes in tomato

The tomato yellow leaf curl virus (TYLCV), transmitted by whitefly, causes major disease losses to tomato crops in tropical and subtropical regions of the world. Several genes conferring resistance to TYLCV, mainly Ty-1 and Ty-3 genes, have been introgressed to cultivated tomato (Solanum lycopersicum) from the wild relative species Solanum chilense. By combining bulked segregant analysis and amplified fragment length polymorphisms (AFLP), several AFLP markers closely linked to Ty-1 and Ty-3 genes were identified from the resistant breeding line TZ841-4. Cloning and sequencing of the selected AFLP fragments allowed us to develop codominant cleaved amplified polymorphic sequence and dominant sequence characterized amplified region markers closely linked to Ty-1. In addition, Ty-3-linked allelic-specific markers have been discriminated by a quantitative real-time PCR protocol. Taken together, these markers constitute useful tools for marker-assisted selection breeding programs to improve genetic resistance to TYLCV, and also to initiate map-based cloning approaches to isolate the resistance genes.     

Phosphoglycerate kinase and fructose bisphosphate aldolase of Candida albicans as new antigens recognized by human salivary IgA

BackgroundCandida albicans is an opportunistic dimorphic fungus commonly present in the human oral cavity that causes infections in immunocompromised patients. The antigen variability, influenced by growth conditions, is a pathogenicity factor.AimsTo determine the effect of nutritional and heat stress on the antigen expression of C. albicans, and to identify major antigens recognized by human salivary secretory immunoglobulin A (sIgA).MethodsUnder various different nutritional conditions, heat shock was induced in C. albicans cells in stationary and exponential growth phases. The expression of protein determinants of C. albicans was assessed by Western blot analysis against human saliva. The antigens were purified and characterized by two-dimensional electrophoresis and identified by protein microsequencing.ResultsFive antigens recognized by salivary IgA were characterized as mannoproteins due to their reactivity with concanavalin A. They did not show reactivity with anti-heat shock protein monoclonal antibodies. Two of them (42 and 36 kDa) were found to be regulated by heat shock and by nutritional stress and they were identified as phosphoglycerate kinase and fructose bisphosphate aldolase, respectively.ConclusionsThese glycolytic enzymes are major antigens of C. albicans, and their differential expression and recognition by the mucosal immune response system could be involved in protection against oral infection.     

Predicted Strain Coverage of a New Meningococcal Multicomponent Vaccine (4CMenB) in Spain: Analysis of the Differences with Other European Countries

Background

A novel meningococcal multicomponent vaccine, 4CMenB (Bexsero^®), has been approved in Europe, Canada, Australia and US. The potential impact of 4CMenB on strain coverage is being estimated by using Meningococcal Antigen Typing System (MATS), an ELISA assay which measures vaccine antigen expression and diversity in each strain. Here we show the genetic characterization and the 4CMenB potential coverage of Spanish invasive strains (collected during one epidemiological year) compared to other European countries and discuss the potential reasons for the lower estimate of coverage in Spain.

Material and Methods

A panel of 300 strains, a representative sample of all serogroup B Neisseria meningitidis notified cases in Spain from 2009 to 2010, was characterized by multilocus sequence typing (MLST) and FetA variable region determination. 4CMenB vaccine antigens, PorA, factor H binding protein (fHbp), Neisseria Heparin Binding Antigen (NHBA) and Neisserial adhesin A (NadA) were molecularly typed by sequencing. PorA coverage was assigned to strain with VR2 = 4. The levels of expression and cross-reactivity of fHbp, NHBA and NadA were analyzed using MATS ELISA.

Findings

Global estimated strain coverage by MATS was 68.67% (95% CI: 47.77–84.59%), with 51.33%, 15.33% and 2% of strains covered by one, two and three vaccine antigens, respectively. The predicted strain coverage by individual antigens was: 42% NHBA, 36.33% fHbp, 8.33% PorA and 1.33% NadA. Coverage within the most prevalent clonal complexes (cc) was 70.37% for cc 269, 30.19% for cc 213 and 95.83% for cc 32.

Conclusions

Clonal complexes (cc) distribution accounts for variations in strain coverage, so that country-by-country investigations of strain coverage and cc prevalence are important. Because the cc distribution could also vary over time, which in turn could lead to changes in strain coverage, continuous detailed surveillance and monitoring of vaccine antigens expression is needed in those countries where the multicomponent vaccine is introduced. This is really important in countries like Spain where most of the strains are predicted to be covered by only one vaccine antigen and the chance for escape mutants to emerge with vaccine use is higher. Based on the observed data, cc213 should receive special attention as it is associated with low predicted strain coverage, and has recently emerged in Spain.     

18S rRNA V9 metabarcoding for diet characterization: a critical evaluation with two sympatric zooplanktivorous fish species

The potential of the 18S rRNA V9 metabarcoding approach for diet assessment was explored using MiSeq paired‐end (PE; 2 × 150 bp) technology. To critically evaluate the method′s performance with degraded/digested DNA, the diets of two zooplanktivorous fish species from the Bay of Biscay, European sardine (Sardina pilchardus) and European sprat (Sprattus sprattus), were analysed. The taxonomic resolution and quantitative potential of the 18S V9 metabarcoding was first assessed both in silico and with mock and field plankton samples. Our method was capable of discriminating species within the reference database in a reliable way providing there was at least one variable position in the 18S V9 region. Furthermore, it successfully discriminated diet between both fish species, including habitat and diel differences among sardines, overcoming some of the limitations of traditional visual‐based diet analysis methods. The high sensitivity and semi‐quantitative nature of the 18S V9 metabarcoding approach was supported by both visual microscopy and qPCR‐based results. This molecular approach provides an alternative cost and time effective tool for food‐web analysis.     

Ellagitannins from Tuberaria lignosa as entry inhibitors of HIV

Screening of plants from the Iberian Peninsula for anti-human immunodeficiency virus (-HIV) activity revealed that aqueous extract of Tuberaria lignosa gave positive results. Following an activity-guided procedure, the crude extract was counterextracted, and the subsequent fractions obtained tested for their anti-HIV activity in vitro. The bioassay-guided fractionation of the extract afforded an ellagitannin enriched fraction (EEF) isolated for the first time from this species. This EEF exhibited antiviral activity against HIV in MT-2 infected cells, with an IC₅₀ value of 2.33 μg/ml (selectivity index greater than 21). Inhibition of HIV infection by EEF appears to be mediated by CD4 down-regulation, the main receptor for HIV entry. CXCR4 and CCR5 receptors were not affected by EEF, explaining why EEF is able to inhibit R5 and X4 infections.     

Elemental 2-D mapping and changes in leaf iron and chlorophyll in response to iron re-supply in iron-deficient GF 677 peach-almond hybrid

Iron is an essential micronutrient for plant growth and development, involved in key cellular processes. However, the distribution of Fe in plant tissues is still not well known. In the so-called Fe chlorosis paradox, leaves of fruit trees grown in the field usually have high concentrations of Fe but still are Fe-deficient. Leaves of the Prunus rootstock GF 677 (P. dulcis?×?P. persica) grown in hydroponics have been used to carry out two-dimensional (2-D) nutrient mapping by synchrotron radiation-induced X-ray fluorescence. Iron-deficient leaves accumulated more Fe in the midrib and veins, with Fe concentration being markedly lower in mesophyll leaf areas. The effects of Fe deficiency and Fe re-supply on leaf chlorophyll concentration and on the distribution of Fe and other nutrients within different plant tissues have been investigated in the same plants. After Fe re-supply, leaf Fe concentrations increased largely in all leaf types. However, whereas re-greening was almost completely achieved in apical leaves, in some expanded leaves the increase in chlorophyll concentration was only moderate. Therefore, after Fe re-supply Fe-deficient expanded leaves of the Prunus rootstock GF 677 had significant increases in Fe concentration but were still chlorotic. This is similar to what occurs in leaves of peach trees in field conditions, opening the possibility that this system could be used as a model to study the Fe chlorosis paradox.