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171.
172.

Background

Wilms tumor is the most common pediatric renal malignancy and there is a clinical need for a molecular biomarker to assess treatment response and predict relapse. The known mutated genes in this tumor type show low mutation frequencies, whereas aberrant methylation at 11p15 is by far the most common aberration. We therefore analyzed the epigenome, rather than the genome, to identify ubiquitous tumor-specific biomarkers.

Results

Methylome analysis of matched normal kidney and Wilms tumor identifies 309 preliminary methylation variable positions which we translate into three differentially methylated regions (DMRs) for use as tumor-specific biomarkers. Using two novel algorithms we show that these three DMRs are not confounded by cell type composition. We further show that these DMRs are not methylated in embryonic blastema but are intermediately methylated in Wilms tumor precursor lesions. We validate the biomarker DMRs using two independent sample sets of normal kidney and Wilms tumor and seven Wilms tumor histological subtypes, achieving 100% and 98% correct classification, respectively. As proof-of-principle for clinical utility, we successfully use biomarker DMR-2 in a pilot analysis of cell-free circulating DNA to monitor tumor response during treatment in ten patients.

Conclusions

These findings define the most common methylated regions in Wilms tumor known to date which are not associated with their embryonic origin or precursor stage. We show that this tumor-specific methylated DNA is released into the blood circulation where it can be detected non-invasively showing potential for clinical utility.

Electronic supplementary material

The online version of this article (doi:10.1186/s13059-014-0434-y) contains supplementary material, which is available to authorized users.  相似文献   
173.

Background

The ability to recognize, understand and interpret other’s actions and emotions has been linked to the mirror system or action-observation-network (AON). Although variations in these abilities are prevalent in the neuro-typical population, persons diagnosed with autism spectrum disorders (ASD) have deficits in the social domain and exhibit alterations in this neural network.

Method

Here, we examined functional network properties of the AON using graph theory measures and region-to-region functional connectivity analyses of resting-state fMRI-data from adolescents and young adults with ASD and typical controls (TC).

Results

Overall, our graph theory analyses provided convergent evidence that the network integrity of the AON is altered in ASD, and that reductions in network efficiency relate to reductions in overall network density (i.e., decreased overall connection strength). Compared to TC, individuals with ASD showed significant reductions in network efficiency and increased shortest path lengths and centrality. Importantly, when adjusting for overall differences in network density between ASD and TC groups, participants with ASD continued to display reductions in network integrity, suggesting that also network-level organizational properties of the AON are altered in ASD.

Conclusion

While differences in empirical connectivity contributed to reductions in network integrity, graph theoretical analyses provided indications that also changes in the high-level network organization reduced integrity of the AON.  相似文献   
174.

Background

The interrogation of proteomes (“proteomics”) in a highly multiplexed and efficient manner remains a coveted and challenging goal in biology and medicine.

Methodology/Principal Findings

We present a new aptamer-based proteomic technology for biomarker discovery capable of simultaneously measuring thousands of proteins from small sample volumes (15 µL of serum or plasma). Our current assay measures 813 proteins with low limits of detection (1 pM median), 7 logs of overall dynamic range (∼100 fM–1 µM), and 5% median coefficient of variation. This technology is enabled by a new generation of aptamers that contain chemically modified nucleotides, which greatly expand the physicochemical diversity of the large randomized nucleic acid libraries from which the aptamers are selected. Proteins in complex matrices such as plasma are measured with a process that transforms a signature of protein concentrations into a corresponding signature of DNA aptamer concentrations, which is quantified on a DNA microarray. Our assay takes advantage of the dual nature of aptamers as both folded protein-binding entities with defined shapes and unique nucleotide sequences recognizable by specific hybridization probes. To demonstrate the utility of our proteomics biomarker discovery technology, we applied it to a clinical study of chronic kidney disease (CKD). We identified two well known CKD biomarkers as well as an additional 58 potential CKD biomarkers. These results demonstrate the potential utility of our technology to rapidly discover unique protein signatures characteristic of various disease states.

Conclusions/Significance

We describe a versatile and powerful tool that allows large-scale comparison of proteome profiles among discrete populations. This unbiased and highly multiplexed search engine will enable the discovery of novel biomarkers in a manner that is unencumbered by our incomplete knowledge of biology, thereby helping to advance the next generation of evidence-based medicine.  相似文献   
175.
Large-scale (temporal and/or spatial) molecular investigations of the diversity and distribution of arbuscular mycorrhizal fungi (AMF) require considerable sampling efforts and high-throughput analysis. To facilitate such efforts, we have developed a TaqMan real-time PCR assay to detect and identify AMF in environmental samples. First, we screened the diversity in clone libraries, generated by nested PCR, of the nuclear ribosomal DNA internal transcribed spacer (ITS) of AMF in environmental samples. We then generated probes and forward primers based on the detected sequences, enabling AMF sequence type-specific detection in TaqMan multiplex real-time PCR assays. In comparisons to conventional clone library screening and Sanger sequencing, the TaqMan assay approach provided similar accuracy but higher sensitivity with cost and time savings. The TaqMan assays were applied to analyze the AMF community composition within plots of a large-scale plant biodiversity manipulation experiment, the Jena Experiment, primarily designed to investigate the interactive effects of plant biodiversity on element cycling and trophic interactions. The results show that environmental variables hierarchically shape AMF communities and that the sequence type spectrum is strongly affected by previous land use and disturbance, which appears to favor disturbance-tolerant members of the genus Glomus. The AMF species richness of disturbance-associated communities can be largely explained by richness of plant species and plant functional groups, while plant productivity and soil parameters appear to have only weak effects on the AMF community.Arbuscular mycorrhizae are mutualistic associations between roots of plants and fungi that have been present for more than 400 million years (54). Approximately 80% of examined land plants (71), and almost all fungi of the phylum Glomeromycota (60), are capable of forming such associations. The main benefit of this relationship for plants is that it facilitates their acquisition of nutrients (especially P and N), while the fungus receives photoassimilates (7, 62). About 200 Glomeromycota species have been described to date, based on spore morphology (http://www.lrz-muenchen.de/∼schuessler/amphylo/amphylogeny.html), but there is increasing molecular evidence of significantly higher diversity in arbuscular mycorrhizal fungi (AMF) (10, 72).Diverse AMF communities have been detected in a wide range of plant communities (inter alia grasslands, boreal forests, and tropical communities; for an overview, see reference 48). Hence, AMF have been considered to be tolerant of wide ranges of ecological conditions and capable of associating with diverse plant partners. Identifying the factors regulating their community assemblages is challenging, but AMF community composition has been shown to be influenced by plant species diversity (e.g., see references 10, 22, and 33), and conversely, significant effects of AMF species and communities on the diversity and productivity of plant communities have been described (25, 68). Soil physicochemical parameters like phosphorus, nitrogen, and carbon availability (e.g., see references 4, 9, and 31); pH (17); moisture content (53); and disturbance (30) also reportedly influence AMF distribution. Hence, there is some support for niche theory, which presumes that two species of the same trophic level cannot coexist in a limited system and, if two species are present in such circumstances, one should become extinct (21). As a corollary, two cooccurring species must occupy niches that differ in some dimensions, e.g., plant hosts and/or soil properties (28). However, there are also indications that neutral ecological processes, as well as niche-defining parameters, may influence AMF diversity and community composition (17, 39). In contrast to niche theory, neutral theory (27) postulates that all individuals of every species at a given trophic level in a food web have ecological equivalence, and thus, all species within trophically defined communities can be regarded as open nonequilibrium assemblages that are solely shaped by dispersal and distinctions in spatiotemporal dimensions. According to the work of Hubbell (27), neutrality is defined at the level of individual organisms with identical probabilities of birth, death, migration, and speciation and not at the species level. In order to explore AMF communities more thoroughly and to test competing hypotheses, such as those raised by the niche and neutral theories, robust methods for high-throughput analyses of the communities are required.Recent investigations of variables that affect the structure of AMF communities have considered relationships between niche-defining dimensions, such as soil types (39) and pH gradients (17), and spatial variations in AMF community structure but not the role of plant diversity or functional traits of host plants. There have been several plant diversity manipulation experiments designed for coanalyzing multiple sets of ecological variables (e.g., the BIODEPTH and Cedar Creek projects) that would have been ideal for detailed examinations of effects of ecological variables on AMF, but previously reported AMF analyses in these experiments have been limited to counts of spores in a single study (11). However, not all AMF species regularly sporulate, and when present, spores poorly reflect AMF diversity (69), since active AMF occur as mycelia in roots and soils (e.g., see references 12 and 26). PCR-based molecular techniques enable much more rigorous characterization of AMF communities in these compartments (e.g., see references 26, 36, and 72), but assessments of broad spatial (42) and/or temporal (52) variations in AMF communities require analysis of large numbers of samples, which is not feasible using conventional PCR amplification followed by cloning and sequencing. This challenge can be potentially met by real-time PCR-based approaches, in which the AMF sequence types present in compartments of interest are first identified and then sequence type-specific probes are used for large-scale screening in real-time PCR TaqMan assays.In the study presented here, we explored AMF diversity in plots used in the Jena Experiment, a grassland plant diversity manipulation of 60 plant species representing four functional groups in 81 plots of 400 m2 (56). The overall AMF diversity and community structure were first assessed by PCR amplification, cloning, and sequencing (55) of internal transcribed spacer (ITS) ribosomal DNA (rDNA) gene sequences in soil samples from 23 representative plots. Using the acquired data, we then developed sequence type-specific probes, which were applied in high-throughput real-time PCR TaqMan assays of samples from all 81 experimental plots, and the effects of 15 plant and soil variables on the AMF community assemblage were investigated.  相似文献   
176.
For the quantification of Gram-negative sulphate reducers in rice fields, 11 real-time PCR assays were established targeting 16S rRNA genes combined with SybrGreen detection. Three of these assays were specific for the "main" groups, i.e. the Desulfovibrionaceae, the Desulfobacteraceae and Desulfobulbus sp., whereas eight assays were developed for subgroups within the first two main groups. The detection limits of the assays were between 2 x 10(5) and 4 x 10(3) targets g(-1) (wet weight) or less than 0.02% of the eubacterial 16S rDNA targets in bulk soil, rhizosphere soil and rice root DNA extracts. Analysis of soil spiked with defined cell numbers of sulphate-reducing bacteria showed good correlation of measured target numbers to amended cells. In rice field bulk and rhizosphere soil, the Desulfobacteraceae were the predominant main group with target numbers of 6.4 x 10(7) (+/-1.0 x 10(7)) and 7.5 x 10(7) (+/-1.7 x 10(7)), respectively. Within this group the Desulforhabdus/Synthrophobacter assemblage and Desulfobacterium sp. were predominant. At the rice roots, the three main groups were abundant in similar numbers (approx. 1.0 x 10(8)) indicating that the relative abundance of the Desulfovibrionaceae and also of Desulfobulbus sp. was increased, relatively to the Desulfobacteraceae. Within the Desulfovibrionaceae the subgroup was predominant that was detected by assay DSV-II. This assay detects many from rice field soil isolated Desulfovibrio-strains and molecular retrieved sequences. Therefore these organisms that were already detected in the rice field environment by isolation and by molecular techniques are indeed best adapted to the conditions provided by the rice roots.  相似文献   
177.
The major histocompatibility complex (MHC) is recognised as one of the most important genetic regions in relation to common human disease. Advancement in identification of MHC genes that confer susceptibility to disease requires greater knowledge of sequence variation across the complex. Highly duplicated and polymorphic regions of the human genome such as the MHC are, however, somewhat refractory to some whole-genome analysis methods. To address this issue, we are employing a bacterial artificial chromosome (BAC) cloning strategy to sequence entire MHC haplotypes from consanguineous cell lines as part of the MHC Haplotype Project. Here we present 4.25 Mb of the human haplotype QBL (HLA-A26-B18-Cw5-DR3-DQ2) and compare it with the MHC reference haplotype and with a second haplotype, COX (HLA-A1-B8-Cw7-DR3-DQ2), that shares the same HLA-DRB1, -DQA1, and -DQB1 alleles. We have defined the complete gene, splice variant, and sequence variation contents of all three haplotypes, comprising over 259 annotated loci and over 20,000 single nucleotide polymorphisms (SNPs). Certain coding sequences vary significantly between different haplotypes, making them candidates for functional and disease-association studies. Analysis of the two DR3 haplotypes allowed delineation of the shared sequence between two HLA class II-related haplotypes differing in disease associations and the identification of at least one of the sites that mediated the original recombination event. The levels of variation across the MHC were similar to those seen for other HLA-disparate haplotypes, except for a 158-kb segment that contained the HLA-DRB1, -DQA1, and -DQB1 genes and showed very limited polymorphism compatible with identity-by-descent and relatively recent common ancestry (<3,400 generations). These results indicate that the differential disease associations of these two DR3 haplotypes are due to sequence variation outside this central 158-kb segment, and that shuffling of ancestral blocks via recombination is a potential mechanism whereby certain DR-DQ allelic combinations, which presumably have favoured immunological functions, can spread across haplotypes and populations.  相似文献   
178.
Addiction is a complex maladaptive behavior involving alterations in several neurotransmitter networks. In mammals, psychostimulants trigger elevated extracellular levels of dopamine, which can be modulated by central cholinergic transmission. Which elements of the cholinergic system might be targeted for drug addiction therapies remains unknown. The rewarding properties of drugs of abuse are central for the development of addictive behavior and are most commonly measured by means of the conditioned place preference (CPP) paradigm. We demonstrate here that adult zebrafish show robust CPP induced by the psychostimulant D-amphetamine. We further show that this behavior is dramatically reduced upon genetic impairment of acetylcholinesterase (AChE) function in ache/+ mutants, without involvement of concomitant defects in exploratory activity, learning, and visual performance. Our observations demonstrate that the cholinergic system modulates drug-induced reward in zebrafish, and identify genetically AChE as a promising target for systemic therapies against addiction to psychostimulants. More generally, they validate the zebrafish model to study the effect of developmental mutations on the molecular neurobiology of addiction in vertebrates.  相似文献   
179.
BACKGROUND: A series of studies were conducted to assess Polysorbate 80 (PS80), Propylene Glycol (PG), and Hydroxypropyl‐β‐Cyclodextrin (HPβCD), when compared with Hydroxypropyl Methylcellulose (MC) in developmental and reproductive toxicology (DART) studies. METHODS: In the rat fertility study, 20 mg/kg MC, 10 mg/kg PS80, 1,000 mg/kg PG, 500 mg/kg HPβCD or 1,000 mg/kg HPβCD were administered orally before/during mating, and on gestation Day (GD) 0–7, followed by an assessment of embryonic development on GD 14. In the rat and rabbit teratology studies, the doses of MC, PS80, PG, and HPβCD were the same as those in the fertility study. In these teratology studies, pregnant females were dosed during the period of organogenesis, followed by an assessment of fetal external, visceral, and skeletal development. RESULTS: In the rat fertility and rat teratology studies, PS80, PG, and HPβCD did not exhibit toxicity, when compared with MC. Similarly, in the rabbit teratology study, there was no PS80 or PG‐related toxicity, when compared with MC. However, individual rabbits in the 500 and 1,000 mg/kg HPβCD groups exhibited maternal toxicity, which included stool findings, decreased food consumption, and body weight gain. Furthermore, one rabbit each in the 500 and 1,000 mg/kg HPβCD groups exhibited evidence of abortion, which was considered secondary to maternal toxicity. CONCLUSIONS: Although HPβCD was not well tolerated in rabbits at doses of 500 and 1,000 mg/kg, PS80 and PG were comparable to MC and should be considered for use in developmental and reproductive toxicology studies. Birth Defects Res (Part B) 89:504–516,2010. © 2010 Wiley‐Liss, Inc.  相似文献   
180.
Activation of sugars into nucleotide sugars is critical for their entry into biosynthetic pathways. In eukaryotic cells, the activation of the acidic nine-carbon sugar sialic acid to CMP-sialic acid takes place in the cell nucleus, whereas all other nucleotide sugars are made in the cytoplasm. Molecular cloning of vertebrate CMP-sialic acid synthetases confirmed the nuclear localization and introduced new molecular tools for directly exploring the functional mechanisms of the enzymes, as well as the physiological relevance of their nuclear transport. Although major advances have been made in understanding structure-function relationships and defining elements involved in the nuclear transport, the riddle surrounding the physiological relevance of nuclear localization awaits resolution.  相似文献   
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