Zein nanoparticles extend lifespan in C. elegans and SAMP8 mice.

Empty zein nanoparticles (NP) have been shown to lower glycemia in rats by stimulating the secretion of endogenous GLP-1. This study evaluated the effect of these nanoparticles on the lifespan of two animal models: C. elegans fed with a glucose-rich diet and the senescence accelerated mouse-prone 8 (SAMP8 mice). In C. elegans, NP increased the mean lifespan of worms by 7 days (from 17.1 for control to 24.5 days). This observation was in line with the observed significant reductions of glucose and fat contents, lipofuscin accumulation, and ROS expression. Furthermore, NP supplementation led to an upregulation of the expression of daf-16 and skn-1 genes. DAF-16 (orthologue of the FOXO family) and SKN-1 (orthologue of mammalian Nrf/CNC proteins) are implicated in activating detoxification mechanisms against oxidative damage. In SAMP8, oral administration of NP also extended the mean lifespan of mice (by 28 % compared to controls), corroborating the protective effect of these nanoparticles.

In vivo testing of mucus-permeating nanoparticles for oral insulin delivery using Caenorhabditis elegans as a model under hyperglycemic conditions.

The aim was to evaluate the potential of mucus-permeating nanoparticles for the oral administration of insulin. These nanocarriers, based on the coating of zein nanoparticles with a polymer conjugate containing PEG, displayed a size of 260 nm with a negative surface charge and an insulin payload of 77 µg/mg. In intestinal pig mucus, the diffusivity of these nanoparticles (PPA-NPs) was found to be 20-fold higher than bare nanoparticles (NPs). These results were in line with the biodistribution study in rats, in which NPs remained trapped in the mucus, whereas PPA-NPs were able to cross this layer and reach the epithelium surface. The therapeutic efficacy was evaluated in Caenorhabditis elegans grown under high glucose conditions. In this model, worms treated with insulin-loaded in PPA-NPs displayed a longer lifespan than those treated with insulin free or nanoencapsulated in NPs. This finding was associated with a significant reduction in the formation of reactive oxygen species (ROS) as well as an important decrease in the glucose and fat content in worms. These effects would be related with the mucus-permeating ability of PPA-NPs that would facilitate the passage through the intestinal peritrophic-like dense layer of worms (similar to mucus) and, thus, the absorption of insulin.

Zein-based nanocarriers for the oral delivery of insulin. In vivo evaluation in Caenorhabditis elegans.

The aim was to evaluate the potential of nanocarriers, based on the coating of zein nanoparticles (ZNP) with a Gantrez® AN-PEG conjugate (GP), for the oral delivery of insulin. ZNP-GP displayed less negative surface charge and a 14-fold higher diffusion coefficient in pig intestinal mucus than ZNP. Both nanoparticles showed a spherical shape and an insulin load of 77.5 µg/mg. Under simulated gastric conditions, ZNP-GP released significantly lower amount of insulin than ZNP, while under simulated intestinal conditions, both types of nanoparticles displayed similar behaviour. In Caenorhabditis elegans wild-type N2, grown under high glucose conditions, insulin treatments reduced glucose and fat accumulation without altering the growth rate, the worm length, or the pumping rate. The effect was significantly greater (p < 0.001) when insulin was nanoencapsulated in ZNP-GP compared with that encapsulated in ZNP or formulated in solution. This would be related to the highest capability of ZNP-GP to diffuse in the dense peritrophic-like layer covering intestinal cells in worms. In daf-2 mutants, the effect on fat and glucose reduction by insulin treatment was suppressed, indicating a DAF-2 dependent mechanism. In summary, ZNP-GP is a promising platform that may offer new opportunities for the oral delivery of insulin and other therapeutic proteins.

Borago officinalis seed oil (BSO), a natural source of omega-6 fatty acids, attenuates fat accumulation by activating peroxisomal beta-oxidation both in C. elegans and in diet-induced obese rats.

Obesity is a medical condition with increasing prevalence, characterized by an accumulation of excess fat that could be improved using some bioactive compounds. However, many of these compounds with in vitro activity fail to respond in vivo, probably due to the sophistication of the physiological energy regulatory networks. In this context, C. elegans has emerged as a plausible model for the identification and characterization of the effect of such compounds on fat storage in a complete organism. However, the results obtained in such a simple model are not easily extrapolated to more complex organisms such as mammals, which hinders its application in the short term. Therefore, it is necessary to obtain new experimental data about the evolutionary conservation of the mechanisms of fat loss between worms and mammals. Previously, we found that some omega-6 fatty acids promote fat loss in C. elegans by up-regulation of peroxisomal fatty acid ß-oxidation in an omega-3 independent manner. In this work, we prove that the omega-6 fatty acids' effects on worms are also seen when they are supplemented with a natural omega-6 source (borage seed oil, BSO). Additionally, we explore the anti-obesity effects of two doses of BSO in a diet-induced obesity rat model, validating the up-regulation of peroxisomal fatty acid ß-oxidation. The supplementation with BSO significantly reduces body weight gain and energy efficiency and prevents white adipose tissue accumulation without affecting food intake. Moreover, BSO also increases serum HDL-cholesterol levels, improves insulin resistance and promotes the down-regulation of Cebpa, an adipogenesis-related gene. Therefore, we conclude that the effects of omega-6 fatty acids are highly conserved between worms and obesity-induced mammals, so these compounds could be considered to treat or prevent obesity-related disorders.

Dihomo-gamma-linolenic acid induces fat loss in C. elegans in an omega-3-independent manner by promoting peroxisomal fatty acid ß-oxidation.

Bioactive compounds, including some fatty acids (FAs), can induce beneficial effects on body fat-content and metabolism. In this work, we have used C. elegans as a model to examine the effects of several FAs on body fat accumulation. Both omega-3 and omega-6 fatty acids induced a reduction of fat content in C. elegans, with linoleic, gamma-linolenic and dihomo-gamma-linolenic acids being the most effective ones. These three FAs are sequential metabolites especially in omega-6 PUFA synthesis pathway and the effects seem to be primarily due to dihomo-gamma-linolenic acid, and independent of its transformation into omega-3 or arachidonic acid. Gene expression analyses suggest that peroxisomal beta oxidation is the main mechanism involved in the observed effect. These results point out the importance of further analysis of the activity of these omega-6 FAs, due to their potential application in obesity and related diseases.

Effects of Sample Size and Full Sibs on Genetic Diversity Characterization: A Case Study of Three Syntopic Iberian Pond-Breeding Amphibians.

Accurate characterization of genetic diversity is essential for understanding population demography, predicting future trends and implementing efficient conservation policies. For that purpose, molecular markers are routinely developed for nonmodel species, but key questions regarding sampling design, such as calculation of minimum sample sizes or the effect of relatives in the sample, are often neglected. We used accumulation curves and sibship analyses to explore how these 2 factors affect marker performance in the characterization of genetic diversity. We illustrate this approach with the analysis of an empirical dataset including newly optimized microsatellite sets for 3 Iberian amphibian species: Hyla molleri, Epidalea calamita, and Pelophylax perezi. We studied 17-21 populations per species (total n = 547, 652, and 516 individuals, respectively), including a reference locality in which the effect of sample size was explored using larger samples (77-96 individuals). As expected, FIS and tests for Hardy-Weinberg equilibrium and linkage disequilibrium were affected by the presence of full sibs, and most initially inferred disequilibria were no longer statistically significant when full siblings were removed from the sample. We estimated that to obtain reliable estimates, the minimum sample size (potentially including full sibs) was close to 20 for expected heterozygosity, and between 50 and 80 for allelic richness. Our pilot study based on a reference population provided a rigorous assessment of marker properties and the effects of sample size and presence of full sibs in the sample. These examples illustrate the advantages of this approach to produce robust and reliable results for downstream analyses.

A simple approach for classifying new mutations as somatic or germinal in DNA samples lacking paired tissue.

When studying mutations in DNA samples, determining whether novel sequence changes are somatic mutations or germline polymorphisms can be difficult. Here we describe a novel and very simple approach for identification of somatic mutations and loss of heterozygosity (LoH) events in DNA samples where no matched tissue sample is available. Our method makes use of heterozygous polymorphisms that are located near the putative mutation to trace both germinal alleles.

A new KRT16 mutation associated with a phenotype of pachyonychia congenita.

Pachyonychia congenita is a rare, autosomal dominant genetic disease characterized by painful palmoplantar keratoderma and hypertrophic nail dystrophy. This disorder is caused by mutations in any one of five cytoskeletal keratin proteins, K6a, K6b, K6c, K16 and K17. Here, we describe a new p.Leu421Pro (c.1262T>C) mutation in the highly conserved helix termination motif of K16 in a large Spanish family. Bioinformatic analyses as well as previous descriptions in the literature of homologous mutations in other keratin-coding genes show that this mutation is probably causative of the disease.

Oncofuse: a computational framework for the prediction of the oncogenic potential of gene fusions.

MOTIVATION: Gene fusions resulting from chromosomal aberrations are an important cause of cancer. The complexity of genomic changes in certain cancer types has hampered the identification of gene fusions by molecular cytogenetic methods, especially in carcinomas. This is changing with the advent of next-generation sequencing, which is detecting a substantial number of new fusion transcripts in individual cancer genomes. However, this poses the challenge of identifying those fusions with greater oncogenic potential amid a background of 'passenger' fusion sequences. RESULTS: In the present work, we have used some recently identified genomic hallmarks of oncogenic fusion genes to develop a pipeline for the classification of fusion sequences, namely, Oncofuse. The pipeline predicts the oncogenic potential of novel fusion genes, calculating the probability that a fusion sequence behaves as 'driver' of the oncogenic process based on features present in known oncogenic fusions. Cross-validation and extensive validation tests on independent datasets suggest a robust behavior with good precision and recall rates. We believe that Oncofuse could become a useful tool to guide experimental validation studies of novel fusion sequences found during next-generation sequencing analysis of cancer transcriptomes. AVAILABILITY AND IMPLEMENTATION: Oncofuse is a naive Bayes Network Classifier trained and tested using Weka machine learning package. The pipeline is executed by running a Java/Groovy script, available for download at www.unav.es/genetica/oncofuse.html.

Genomic hallmarks of genes involved in chromosomal translocations in hematological cancer.

Reciprocal chromosomal translocations (RCTs) leading to the formation of fusion genes are important drivers of hematological cancers. Although the general requirements for breakage and fusion are fairly well understood, quantitative support for a general mechanism of RCT formation is still lacking. The aim of this paper is to analyze available high-throughput datasets with computational and robust statistical methods, in order to identify genomic hallmarks of translocation partner genes (TPGs). Our results show that fusion genes are generally overexpressed due to increased promoter activity of 5' TPGs and to more stable 3'-UTR regions of 3' TPGs. Furthermore, expression profiling of 5' TPGs and of interaction partners of 3' TPGs indicates that these features can help to explain tissue specificity of hematological translocations. Analysis of protein domains retained in fusion proteins shows that the co-occurrence of specific domain combinations is non-random and that distinct functional classes of fusion proteins tend to be associated with different components of the gene fusion network. This indicates that the configuration of fusion proteins plays an important role in determining which 5' and 3' TPGs will combine in specific fusion genes. It is generally accepted that chromosomal proximity in the nucleus can explain the specific pairing of 5' and 3' TPGS and the recurrence of hematological translocations. Using recently available data for chromosomal contact probabilities (Hi-C) we show that TPGs are preferentially located in early replicated regions and occupy distinct clusters in the nucleus. However, our data suggest that, in general, nuclear position of TPGs in hematological cancers explains neither TPG pairing nor clinical frequency. Taken together, our results support a model in which genomic features related to regulation of expression and replication timing determine the set of candidate genes more likely to be translocated in hematological tissues, with functional constraints being responsible for specific gene combinations.

LIF, a Novel STAT5-Regulated Gene, Is Aberrantly Expressed in Myeloproliferative Neoplasms.

A search for genes potentially regulated by STAT5 identified leukemia inhibitory factor (LIF) as a good candidate. Using various experimental approaches, we have validated LIF as a direct transcriptional target of STAT5 in myeloid cell lines: STAT5 binds to LIF promoter, and LIF expression is increased after activation of the JAK2/STAT5 pathway. We also found that LIF expression is significantly increased in patients with chronic myeloproliferative neoplasms with and without activating mutations of the pathway, indicating that LIF might play an important role in STAT5-mediated oncogenesis.

Quantification of PDGFRA alternative transcripts improves the screening for X-PDGFRA fusions by reverse transcriptase-polymerase chain reaction.

Hematological malignancies with eosinophilia are often associated with fusions in PDGFRA, PDGFRB, or FGFR1 genes. RT-PCR has proved to be useful for finding new PDGFRA gene fusions, but some studies have shown overexpression of the TK domain which cannot be explained by the existence of such aberrations. This fact could be related to the expression of alternative PDGFRA transcripts. We show that quantification of the expression of three different PDGFRA fragments discriminates between PDGFRA alternative transcripts and fusion genes, and we have tested this novel methodological approach in a group of eosinophilia cases. Our data show that alternative PDGFRA transcripts should be taken into account when screening for PDGFRA aberrations, such as gene fusions, by RT-PCR. Expression from an internal PDGFRA promoter seems to be a frequent event, in both normal and leukemic samples, and is probably related to physiological conditions, but it could have a role in other tumors. Even so, we show that our RQ-PCR methodology can discriminate expression of alternative transcripts from the presence of X-PDGFRA fusion genes.

A new potential oncogenic mutation in the FERM domain of JAK2 in BCR/ABL1-negative and V617F-negative chronic myeloproliferative neoplasms revealed by a comprehensive screening of 17 tyrosine kinase coding genes.

BCR/ABL1-negative chronic myeloproliferative neoplasms (CMPNs) are a heterogeneous group of clonal hematological malignancies. Over recent years, some genetic events in tyrosine kinase (TK) genes have been described as causal events of these diseases. To identify new genetic aberrations underlying these diseases, we used denaturing high performance liquid chromatography and fluorescence in situ hybridization (FISH) to analyze 17 genes from two receptor-TK families (III and IV) and from three cytoplasmic-TK families (Syk, Abl, and Jak) on samples from 44 BCR/ABL1-negative and JAK2(V617F)-negative CMPN patients with different clinical phenotypes. Although screening by FISH did not reveal novel chromosomal aberrations, several sequence changes were detected. None of them were frequent events, but we identified a new potential activating mutation in the FERM domain of JAK2(R340Q). None of the germline JAK2(V617F) single-nucleotide polymorphisms detected differed in distribution between patients and control subjects. In summary, data presented here show that these genes are not frequently mutated or rearranged in CMPNs, suggesting that molecular events causing these disorders must be located in other genes.

Signatures of selection in fusion transcripts resulting from chromosomal translocations in human cancer.

BACKGROUND: The recurrence and non-random distribution of translocation breakpoints in human tumors are usually attributed to local sequence features present in the vicinity of the breakpoints. However, it has also been suggested that functional constraints might contribute to delimit the position of translocation breakpoints within the genes involved, but a quantitative analysis of such contribution has been lacking. METHODOLOGY: We have analyzed two well-known signatures of functional selection, such as reading-frame compatibility and non-random combinations of protein domains, on an extensive dataset of fusion proteins resulting from chromosomal translocations in cancer. CONCLUSIONS: Our data provide strong experimental support for the concept that the position of translocation breakpoints in the genome of cancer cells is determined, to a large extent, by the need to combine certain protein domains and to keep an intact reading frame in fusion transcripts. Additionally, the information that we have assembled affords a global view of the oncogenic mechanisms and domain architectures that are used by fusion proteins. This can be used to assess the functional impact of novel chromosomal translocations and to predict the position of breakpoints in the genes involved.

TICdb: a collection of gene-mapped translocation breakpoints in cancer.

BACKGROUND: Despite the importance of chromosomal translocations in the initiation and/or progression of cancer, a comprehensive catalog of translocation breakpoints in which these are precisely located on the reference sequence of the human genome is not available at present. DESCRIPTION: We have created a database that describes the genomic location of 1,225 translocation breakpoints in human tumors, corresponding to 247 different genes, using information from publicly available sources. Junction sequences from reciprocal translocations were obtained from 655 different references (either from the literature or from nucleotide databases), and were mapped onto the reference sequence of the human genome using BLAST. All translocation breakpoints were thus referred to precise nucleotide positions (949 breakpoints) or gene fragments (introns or exons, 276 breakpoints) within specific Ensembl transcripts. CONCLUSION: TICdb is a comprehensive collection of finely mapped translocation breakpoints, freely available at http://www.unav.es/genetica/TICdb/. It should facilitate the analysis of sequences encompassing translocation breakpoints and the identification of factors driving translocation events in human tumors.

Chromosome translocations in cancer: computational evidence for the random generation of double-strand breaks.

In this article, we show that introns harboring translocation breakpoints in tumors are significantly longer than non-translocated introns of the same genes but are not enriched significantly in sequence elements potentially involved in chromosomal rearrangements. Our findings provide evidence that double-strand breaks, the type of DNA damage that leads to translocations in tumors, are created at random points in the genome, and that sequence elements do not have a widespread role in the localization of these breaks.