Proteomic analysis of amniotic fluid in pregnancies with Down syndrome

Proteomic analysis is widely used for the detection of diagnostic markers. In the present study amniotic fluid supernatants (AFS) from pregnancies with Down syndrome (DS) fetuses and from chromosomally normal fetuses in the 17th week of gestation were analyzed by 2-DE. Gel comparison revealed significant differences in the two groups. Spots with different expression levels were excised and proteins were identified by MALDI-MS and nano-ESI-MS/MS. Splicing factor arginine/serine-rich 4 (SFRS4; Q08170) was present only in AFS from DS fetuses and completely absent in the control group. Quantitative differences were detected for alpha-1-microglobulin (AMBP; P02760), collagen alpha 1 (I) chain (CO1A1; P02452), collagen alpha 1 (III) chain (CO3A1; P02461), collagen alpha 1 (V) chain d (CO5A1; P20908), and basement membrane-specific heparin sulfate proteoglycan core protein (PGBM; P98160). These proteins were increased in cases with DS, whereas protein IBP-1 (P08833) was decreased by 40% compared with chromosomally normal fetuses. Four proteins, CO1A1, CO3A1, CO5A1, and PGBM, appeared as fragments. As differentially expressed proteins were present in all pregnancies with DS tested, they may represent useful potential markers for prenatal diagnosis. However, for protein biomarkers to be of any clinical utility, systematic analysis of the maternal serum should be conducted.     

Cascade pattern recognition structure for improving quantitative assessment of estrogen receptor status in breast tissue carcinomas

OBJECTIVE: To develop and validate a computer-based approach for the quantitative assessment of estrogen receptor (ER) status in breast tissue specimens for breast cancer management. STUDY DESIGN: Microscopy images of 32 immunohistochemically (IHC) stained specimens of breast cancer biopsies were digitized and were primarily assessed for ER status (percentage of positively stained nuclei) by a histopathologist. A pattern recognition system was designed for automatically assessing the ER status of the IHC-stained specimens. Nuclei were automatically segmented from background by a pixel-based unsupervised clustering algorithm and were characterized as positively stained or unstained by a supervised classification algorithm. This cascade structure boosted the system's classification accuracy. RESULTS: System performance in correctly characterizing the nuclei was 95.48%. When specifying each case's ER status, system performance was statistically not significantly different to the physician's assessment (p = 0.13); when ranking each case to a particular 5-scale ER-scoring system (giving the chance of response to endocrine treatment), the system's score and the physician's score were in agreement in 29 of 32 cases. CONCLUSION: The need for reliable and operator independent ER-status estimation procedures may be served by the design of efficient pattern recognition systems to be employed as support opinion tools in clinical practice.     

Population Seroprevalence Study after a West Nile Virus Lineage 2 Epidemic,Greece, 2010

Introduction

During summer 2010, 262 human cases including 35 deaths from West Nile virus (WNV) infection were reported from Central Macedonia, Greece. Evidence from mosquitoes, birds and blood donors demonstrated that the epidemic was caused by WNV lineage 2, which until recently was considered of low virulence. We conducted a household seroprevalence study to estimate the spread of infection in the population during the epidemic, ascertain the relationship of infection to clinical disease, and identify risk factors for infection.

Methods

We used a two-stage cluster design to select a random sample of residents aged ≥18 years in the outbreak epicentre. We collected demographic, medical, and risk factor data using standard questionnaires and environmental checklists, and tested serum samples for presence of WNV IgG and IgM antibodies using ELISA.

Results

Overall, 723 individuals participated in the study, and 644 blood samples were available. Weighted seropositivity for IgG antibodies was 5.8% (95% CI: 3.8–8.6; n=41). We estimated that about 1 in 130 (1:141 to 1:124) infected individuals developed WNV neuroinvasive disease, and approximately 18% had clinical manifestations attributable to their infection. Risk factors for infection reflected high exposure to mosquitoes; rural residents were particularly at risk (prevalence ratio: 8.2, 95% CI: 1.1–58.7).

Discussion

This study adds to the evidence that WNV lineage 2 strains can cause significant illness, demonstrating ratios of infection to clinical disease similar to those found previously for WNV lineage 1.     

A novel symbolization scheme for multichannel recordings with emphasis on phase information and its application to differentiate EEG activity from different mental tasks

Symbolic dynamics is a powerful tool for studying complex dynamical systems. So far many techniques of this kind have been proposed as a means to analyze brain dynamics, but most of them are restricted to single-sensor measurements. Analyzing the dynamics in a channel-wise fashion is an invalid approach for multisite encephalographic recordings, since it ignores any pattern of coordinated activity that might emerge from the coherent activation of distinct brain areas. We suggest, here, the use of neural-gas algorithm (Martinez et al. in IEEE Trans Neural Netw 4:558–569, 1993) for encoding brain activity spatiotemporal dynamics in the form of a symbolic timeseries. A codebook of k prototypes, best representing the instantaneous multichannel data, is first designed. Each pattern of activity is then assigned to the most similar code vector. The symbolic timeseries derived in this way is mapped to a network, the topology of which encapsulates the most important phase transitions of the underlying dynamical system. Finally, global efficiency is used to characterize the obtained topology. We demonstrate the approach by applying it to EEG-data recorded from subjects while performing mental calculations. By working in a contrastive-fashion, and focusing in the phase aspects of the signals, we show that the underlying dynamics differ significantly in their symbolic representations.     

Association study of human VN1R1 pheromone receptor gene alleles and gender

Pheromones are water-soluble chemicals that elicit neuroendocrine and physiological changes, while they also provide information about gender within individuals of the same species. VN1R1 is the only functional pheromone receptor in humans. We have undertaken a large mutation screening approach in 425 adult individuals from the Hellenic population to investigate whether the allelic differences, namely alleles 1a and 1b present in the human VN1R1 gene, are gender specific. Here we show that both VN1R1 1a and 1b alleles are found in chromosomes of both male and female subjects at frequency of 26.35% and 73.65%, respectively. Given the fact that those allelic differences potentially cause minor changes in the protein conformation and its transmembrane domains, as simulated by the TMHMM software, our data suggest that the allelic differences in the human VN1R1 gene are unlikely to be associated with gender and hence to contribute to distinct gender-specific behavior.     

Changes in soil Acidobacteria communities after 2,4,6-trinitrotoluene contamination

Despite their widespread occurrence in soils, the ecology of Acidobacteria and their response to environmental perturbations due to human activities remain very poorly documented. This study was aimed at assessing changes in the diversity and abundance of Acidobacteria in soils contaminated with 2,4,6-trinitrotoluene (TNT) compared with nonpolluted soils. The analysis of Acidobacteria communities at two sites with long-term and short-term contamination revealed that TNT has a drastic impact on the relative abundance of Acidobacteria in soil bacterial 16S rRNA gene libraries. The disappearance of most Acidobacteria from these soils was concomitant with a shift in Acidobacteria community composition and a loss of diversity, although the extent of diversity erosion depended on the sampling site.     

Rapid and unbiased colorimetric quantification of nitrite and ammonium ions released from 2,4,6-trinitrotoluene during biodegradation studies: Eliminating interferences

Worldwide contamination of soils and groundwater by 2,4,6-trinitrotoluene (TNT) has drawn considerable attention to bioremediation solutions. To evaluate the environmental relevance of a biodegradation process or to discover new TNT degrader microorganisms, effective and reliable monitoring strategies are essential, including the sensitive detection of inorganic nitrogen species released from TNT. In this study we describe improved colorimetric methods for a rapid and unbiased monitoring of nitrite and/or ammonium ions produced in TNT-biodegradation experiments. Considerable interferences in the colorimetric detection of nitrite by the Griess reaction were observed in the presence of various chemicals used in biodegradation assays including reduced pyridine nucleotides (NAD(P)H) and commonly used biological buffers and buffer constituents. In the colorimetric quantification of ammonium through the Berthelot reaction, significant interferences were generated by TNT itself and some reduced TNT metabolites. We highlight these pitfalls and give solutions to overcome these problems, including buffer selection, appropriate dilutions, oxidation of NAD(P)H and selective removal of TNT and some of its metabolites.     

Sex steroid receptors in skeletal differentiation and epithelial neoplasia: is tissue‐specific intervention possible?

Sex steroids, through their receptors, have potent effects on the signal pathways involved in osteogenic or myogenic differentiation. However, a considerable segment of those signal pathways has a prominent role in epithelial neoplastic transformation. The capability to intervene locally has focused on specific ligands for the receptors. Nevertheless, many signals are mapped to interactions of steroid receptor motifs with heterologous regulatory proteins. Some of those proteins interact with the glucocorticoid receptor and other factors essential to cell fate. Interactions of steroid receptor domain motifs with heterologous proteins affect specific target pathways; consequently, manipulation of specified protein modules complexed with steroid receptors may be a next major step for enhancing molecular targeted therapeutics. In the future, intervention at specific sections of receptor primary sequence may prove therapeutically more efficient in targeting pathways of choice than ligand selectivity can be.     

Is polyploidy a persevering accident or an adaptive evolutionary pattern? The case of the brine shrimp Artemia

Asexual organisms are confronted with substantial drawbacks, both immediate and delayed, threatening their evolutionary persistence. Yet, genetic associations with asexuality may refresh the gene pool promoting adaptation of clonal lineages; polyploidy is one of them. Parthenogenesis itself and/or polyploidy are responsible for the maintenance and spread of clones in Artemia, a sexual-asexual genus of halophilic anostracans. We applied flow cytometry, microsatellite genotyping, and mtDNA sequencing to 23 asexual populations. Artemia parthenogens have evolved multiple times either through hybridization or spontaneously. Nine out of 23 populations contained clones of mixed ploidy (2n, 3n, 4n). Most clones were diploid (20/31) while two and nine clones were triploid and tetraploid, respectively. Apomictic triploids and tetraploids formed two distinct groups of low genetic diversity compared with the more divergent automictic diploids. Polyploidy is also polyphyletic in Artemia, with triploids and tetraploids having independent origins from different sexual ancestors. We discern a pattern of geographical parthenogenesis with all clonal groups being more widespread than their closest sexuals. In favour of a specialist model, asexual diploids are restricted to single locations and are strikingly segregated from generalist triploids and tetraploids occupying a variety of sites. This is a rare pattern of mixed life-history strategies within an asexual complex.     

Insect cells as factories for biomanufacturing

Insect cells (IC) and particularly lepidopteran cells are an attractive alternative to mammalian cells for biomanufacturing. Insect cell culture, coupled with the lytic expression capacity of baculovirus expression vector systems (BEVS), constitutes a powerful platform, IC-BEVS, for the abundant and versatile formation of heterologous gene products, including proteins, vaccines and vectors for gene therapy. Such products can be manufactured on a large scale thanks to the development of efficient and scaleable production processes involving the integration of a cell growth stage and a stage of cell infection with the recombinant baculovirus vector. Insect cells can produce multimeric proteins functionally equivalent to the natural ones and engineered vectors can be used for efficient expression. Insect cells can be cultivated easily in serum- and protein-free media. A growing number of companies are currently developing an interest in producing therapeutics using IC-BEVS, and many products are today in clinical trials and on the market for veterinary and human applications. This review summarizes current knowledge on insect cell metabolism, culture conditions and applications.