Predicting functional upstream open reading frames in Saccharomyces cerevisiae

<p>Abstract</p> <p>Background</p> <p>Some upstream open reading frames (uORFs) regulate gene expression (i.e., they are functional) and can play key roles in keeping organisms healthy. However, how uORFs are involved in gene regulation is not yet fully understood. In order to get a complete view of how uORFs are involved in gene regulation, it is expected that a large number of experimentally verified functional uORFs are needed. Unfortunately, wet-experiments to verify that uORFs are functional are expensive.</p> <p>Results</p> <p>In this paper, a new computational approach to predicting functional uORFs in the yeast <it>Saccharomyces cerevisiae </it>is presented. Our approach is based on inductive logic programming and makes use of a novel combination of knowledge about biological conservation, Gene Ontology annotations and genes' responses to different conditions. Our method results in a set of simple and informative hypotheses with an estimated sensitivity of 76%. The hypotheses predict 301 further genes to have 398 novel functional uORFs. Three (<it>RPC11</it>, <it>TPK1</it>, and <it>FOL1</it>) of these 301 genes have been hypothesised, following wet-experiments, by a related study to have functional uORFs. A comparison with another related study suggests that eleven of the predicted functional uORFs from genes <it>LDB17</it>, <it>HEM3</it>, <it>CIN8</it>, <it>BCK2</it>, <it>PMC1</it>, <it>FAS1</it>, <it>APP1</it>, <it>ACC1</it>, <it>CKA2</it>, <it>SUR1</it>, and <it>ATH1 </it>are strong candidates for wet-lab experimental studies.</p> <p>Conclusions</p> <p>Learning based prediction of functional uORFs can be done with a high sensitivity. The predictions made in this study can serve as a list of candidates for subsequent wet-lab verification and might help to elucidate the regulatory roles of uORFs.</p

Feasibility assessment of using oxygen-enhanced magnetic resonance imaging for evaluating the effect of pharmacological treatment in COPD.

Oxygen-enhanced MRI (OE-MRI) biomarkers have potential value in assessment of COPD, but need further evaluation before treatment-induced changes can be interpreted. The objective was to evaluate how OE-MRI parameters of regional ventilation and oxygen uptake respond to standard pharmacological interventions in COPD, and how the response compares to that of gold standard pulmonary function tests