Beyond missing heritability: prediction of complex traits

Despite rapid advances in genomic technology, our ability to account for phenotypic variation using genetic information remains limited for many traits. This has unfortunately resulted in limited application of genetic data towards preventive and personalized medicine, one of the primary impetuses of genome-wide association studies. Recently, a large proportion of the "missing heritability" for human height was statistically explained by modeling thousands of single nucleotide polymorphisms concurrently. However, it is currently unclear how gains in explained genetic variance will translate to the prediction of yet-to-be observed phenotypes. Using data from the Framingham Heart Study, we explore the genomic prediction of human height in training and validation samples while varying the statistical approach used, the number of SNPs included in the model, the validation scheme, and the number of subjects used to train the model. In our training datasets, we are able to explain a large proportion of the variation in height (h(2) up to 0.83, R(2) up to 0.96). However, the proportion of variance accounted for in validation samples is much smaller (ranging from 0.15 to 0.36 depending on the degree of familial information used in the training dataset). While such R(2) values vastly exceed what has been previously reported using a reduced number of pre-selected markers (<0.10), given the heritability of the trait (～ 0.80), substantial room for improvement remains.     

Temporal encoding in a nervous system

We examined the extent to which temporal encoding may be implemented by single neurons in the cercal sensory system of the house cricket Acheta domesticus. We found that these neurons exhibit a greater-than-expected coding capacity, due in part to an increased precision in brief patterns of action potentials. We developed linear and non-linear models for decoding the activity of these neurons. We found that the stimuli associated with short-interval patterns of spikes (ISIs of 8 ms or less) could be predicted better by second-order models as compared to linear models. Finally, we characterized the difference between these linear and second-order models in a low-dimensional subspace, and showed that modification of the linear models along only a few dimensions improved their predictive power to parity with the second order models. Together these results show that single neurons are capable of using temporal patterns of spikes as fundamental symbols in their neural code, and that they communicate specific stimulus distributions to subsequent neural structures.     

Autophagy pathways activated in response to PDT contribute to cell resistance against ROS damage

Reactive oxygen species (ROS) concurrently instigate apoptosis and autophagy pathways, but the link between these processes remains unclear. Because cytotoxic ROS formation is exploited in anticancer therapy, such as in photodynamic therapy (PDT), a better understanding of the complex interplay between autophagy and apoptosis is urgently required. Previously, we reported that ROS generated by PDT with an endoplasmic reticulum (ER)-associated sensitizer leads to loss of ER-Ca²⁺ homeostasis, ER stress and apoptosis. Here we show that PDT prompted Akt-mTOR (mammalian target of rapamycin) pathway down-regulation and stimulated macroautophagy (MA) in cancer and normal cells. Overexpression of the antioxidant enzyme glutathione peroxidase-4 reversed mTOR down-regulation and blocked MA progression and apoptosis. Attenuating MA using Atg5 knockdown or 3-methyladenine, reduced clearance of oxidatively damaged proteins and increased apoptosis, thus revealing a cytoprotective role of MA in PDT. Paradoxically, genetic loss of MA improved clearance of oxidized proteins and reduced photokilling. We found that up-regulation of chaperone-mediated autophagy (CMA) in unstressed Atg5^−/− cells compensated for MA loss and increased cellular resistance to PDT. CMA-deficient cells were significantly sensitized to photokilling but were protected against the ER stressor thapsigargin. These results disclose a stress-specific recruitment of autophagy pathways with cytoprotective function and unravel CMA as the dominant defence mechanism against PDT.     

Leptin reduces Atlantic salmon growth through the central pro-opiomelanocortin pathway

Leptin (Lep) is a key factor for the energy homeostasis in mammals, but the available data of its role in teleosts are not conclusive. There are large sequence differences among mammalian and teleost Lep, both at the gene and protein level. Therefore, in order to characterize Lep function in fish, the use of species-specific Lep is crucial. In this study, the cDNA sequence of salmon leptin a1 (lepa1) was used to establish a production protocol for recombinant salmon LepA1 (rsLepA1) in Escherichia coli, that enabled a final yield of 1.7 mg pure protein L^?1 culture. The effects of 20-day administration of rsLepA1 on growth and brain neuroendocrine peptide gene expression [npy, cart, agrp (-1 and -2), pomc (-a1, -a2, -a2s, and -b)] were studied in juvenile, immature Atlantic salmon (96.5 ± 2.1 g) fed a commercial diet to satiation. Intraperitoneal osmotic pumps were used to deliver rsLepA1 at four different concentrations (calculated pumping rates were 0, 0.1, 1.0 and 10 ng g^?1 h^?1). In the highest dosage group (10 ng g^?1 h^?1), the growth rate was significantly reduced, and pomc-a1 gene expression was higher than in controls. The results support the lipostatic hypothesis and suggest that sLepA1 reduces growth in Atlantic salmon by affecting food intake through the central pro-opiomelanocortin pathway.     

Differentiation of embryonic stem cells into fibroblast-like cells in three-dimensional type I collagen gel cultures

Fibroblasts are heterogeneous mesenchymal cells that play important roles in the production and maintenance of extracellular matrix. Although their heterogeneity is recognized, progenitor progeny relationships among fibroblasts and the factors that control fibroblast differentiation are poorly defined. The current study was designed to develop a reliable method that would permit in vitro differentiation of fibroblast-like cells from human and murine embryonic stem cells (ESCs). Undifferentiated ESCs were differentiated into embryoid bodies (EBs) with differentiation media. EBs were then cast into type I collagen gels and cultured for 21?d with basal media. The spindle-shaped cells that subsequently grew from the EBs were released from the gels and subsequently cultured as monolayers in basal media supplemented with serum. Differentiated cells showed a characteristic spindle-shaped morphology and had ultrastructural features consistent with fibroblasts. Immunocytochemistry showed positive staining for vimentin and alpha-smooth muscle actin but was negative for stage-specific embryonic antigens and cytokeratins. Assays of fibroblast function, including proliferation, chemotaxis, and contraction of collagen gels demonstrated that the differentiated cells, derived from both human and murine ESCs, responded to transforming growth factor-β1 and prostaglandin E(2) as would be expected of fibroblasts, functions not expected of endothelial or epithelial cells. The current study demonstrates that cells with the morphologic and functional features of fibroblasts can be reliably derived from human and murine ESCs. This methodology provides a means to investigate and define the mechanisms that regulate fibroblast differentiation.     

The calcineurin inhibitor tacrolimus activates the renal sodium chloride cotransporter to cause hypertension

Calcineurin inhibitors (CNIs) are immunosuppressive drugs that are used widely to prevent rejection of transplanted organs and to treat autoimmune disease. Hypertension and renal tubule dysfunction, including hyperkalemia, hypercalciuria and acidosis, often complicate their use. These side effects resemble familial hyperkalemic hypertension, a genetic disease characterized by overactivity of the renal sodium chloride cotransporter (NCC) and caused by mutations in genes encoding WNK kinases. We hypothesized that CNIs induce hypertension by stimulating NCC. In wild-type mice, the CNI tacrolimus caused salt-sensitive hypertension and increased the abundance of phosphorylated NCC and the NCC-regulatory kinases WNK3, WNK4 and SPAK. We demonstrated the functional importance of NCC in this response by showing that tacrolimus did not affect blood pressure in NCC-knockout mice, whereas the hypertensive response to tacrolimus was exaggerated in mice overexpressing NCC. Moreover, hydrochlorothiazide, an NCC-blocking drug, reversed tacrolimus-induced hypertension. These observations were extended to humans by showing that kidney transplant recipients treated with tacrolimus had a greater fractional chloride excretion in response to bendroflumethiazide, another NCC-blocking drug, than individuals not treated with tacrolimus; renal NCC abundance was also greater. Together, these findings indicate that tacrolimus-induced chronic hypertension is mediated largely by NCC activation, and suggest that inexpensive and well-tolerated thiazide diuretics may be especially effective in preventing the complications of CNI treatment.     

Dasty3, a WEB framework for DAS

MOTIVATION: Dasty3 is a highly interactive and extensible Web-based framework. It provides a rich Application Programming Interface upon which it is possible to develop specialized clients capable of retrieving information from DAS sources as well as from data providers not using the DAS protocol. Dasty3 provides significant improvements on previous Web-based frameworks and is implemented using the 1.6 DAS specification. AVAILABILITY: Dasty3 is an open-source tool freely available at http://www.ebi.ac.uk/dasty/ under the terms of the GNU General public license. Source and documentation can be found at http://code.google.com/p/dasty/. CONTACT: hhe@ebi.ac.uk.     

CyClus3D: a Cytoscape plugin for clustering network motifs in integrated networks

SUMMARY: Network motifs in integrated molecular networks represent functional relationships between distinct data types. They aggregate to form dense topological structures corresponding to functional modules which cannot be detected by traditional graph clustering algorithms. We developed CyClus3D, a Cytoscape plugin for clustering composite three-node network motifs using a 3D spectral clustering algorithm. AVAILABILITY: Via the Cytoscape plugin manager or http://bioinformatics.psb.ugent.be/software/details/CyClus3D.