Roles and Self-Reconfigurable Robots

A self-reconfigurable robot is a robotic device that can change its own shape.Self-reconfigurable robots are commonly built from multiple identical modules that canmanipulate each other to change the shape of the robot. The robot can also perform taskssuch as locomotion without changing shape. Programming a modular, self-reconfigurablerobot is however a complicated task: the robot is essentially a real-time, distributedembedded system, where control and communication paths often are tightly coupled to thecurrent physical configuration of the robot. To facilitate the task of programmingmodular, self-reconfigurable robots, we have developed a declarative, role-basedlanguage that allows the programmer to associate roles and behavior to structuralelements in a modular robot. Based on the role declarations, a dedicated middleware forhigh-level distributed communication is generated, significantly simplifyingthe task of programming self-reconfigurable robots. Our language fully supportsprogramming the ATRON self-reconfigurable robot, and has been used to implement severalcontrollers running both on the physical modules and in simulation.<br/

HTqPCR: high-throughput analysis and visualization of quantitative real-time PCR data in R

Motivation: Quantitative real-time polymerase chain reaction (qPCR) is routinely used for RNA expression profiling, validation of microarray hybridization data and clinical diagnostic assays. Although numerous statistical tools are available in the public domain for the analysis of microarray experiments, this is not the case for qPCR. Proprietary software is typically provided by instrument manufacturers, but these solutions are not amenable to the tandem analysis of multiple assays. This is problematic when an experiment involves more than a simple comparison between a control and treatment sample, or when many qPCR datasets are to be analyzed in a high-throughput facility

Roles and Self-Reconfigurable Robots

A self-reconfigurable robot is a robotic device that can change its own shape.Self-reconfigurable robots are commonly built from multiple identical modules that canmanipulate each other to change the shape of the robot. The robot can also perform taskssuch as locomotion without changing shape. Programming a modular, self-reconfigurablerobot is however a complicated task: the robot is essentially a real-time, distributedembedded system, where control and communication paths often are tightly coupled to thecurrent physical configuration of the robot. To facilitate the task of programmingmodular, self-reconfigurable robots, we have developed a declarative, role-basedlanguage that allows the programmer to associate roles and behavior to structuralelements in a modular robot. Based on the role declarations, a dedicated middleware forhigh-level distributed communication is generated, significantly simplifyingthe task of programming self-reconfigurable robots. Our language fully supportsprogramming the ATRON self-reconfigurable robot, and has been used to implement severalcontrollers running both on the physical modules and in simulation.<br/

Roles and Self-Reconfigurable Robots

A self-reconfigurable robot is a robotic device that can change its own shape.Self-reconfigurable robots are commonly built from multiple identical modules that canmanipulate each other to change the shape of the robot. The robot can also perform taskssuch as locomotion without changing shape. Programming a modular, self-reconfigurablerobot is however a complicated task: the robot is essentially a real-time, distributedembedded system, where control and communication paths often are tightly coupled to thecurrent physical configuration of the robot. To facilitate the task of programmingmodular, self-reconfigurable robots, we have developed a declarative, role-basedlanguage that allows the programmer to associate roles and behavior to structuralelements in a modular robot. Based on the role declarations, a dedicated middleware forhigh-level distributed communication is generated, significantly simplifyingthe task of programming self-reconfigurable robots. Our language fully supportsprogramming the ATRON self-reconfigurable robot, and has been used to implement severalcontrollers running both on the physical modules and in simulation.<br/

Serum miRNAs miR-206, 143-3p and 374b-5p as potential biomarkers for amyotrophic lateral sclerosis (ALS)

Amyotrophic lateral sclerosis (ALS) is a fatal, neurodegenerative condition characteris loss of motor neurones and progressive muscle wasting. There is no diagnostic test fo therefore robust biomarkers would not only be valuable for diagnosis, but also the classification of disease subtypes, monitoring responses to drugs and tracking diseas progression. As regulators of gene expression, microRNAs (miRNAs) are increasingly for diagnostic and prognostic purposes in various disease states with increasing explo in neurodegenerative disorders. We hypothesise that circulating blood based miRNAs serve as biomarkers and use miRNA profiling to determine miRNA signatures from th serum of sporadic (sALS) patients compared to healthy controls and patients with dise that mimic ALS. A number of differentially expressed miRNAs were identified in each patient comparisons. Validation in an additional patient cohort showed that miR-206 a miR-143-3p were increased and miR-374b-5p was decreased compared to controls. A continued change in miRNA expression persisted during disease progression indicatin potential use of these particular miRNAs as longitudinal biomarkers in ALS

miRpower: a web-tool to validate survival-associated miRNAs utilizing expression data from 2178 breast cancer patients

PURPOSE: The proper validation of prognostic biomarkers is an important clinical issue in breast cancer research. MicroRNAs (miRNAs) have emerged as a new class of promising breast cancer biomarkers. In the present work, we developed an integrated online bioinformatic tool to validate the prognostic relevance of miRNAs in breast cancer. METHODS: A database was set up by searching the GEO, EGA, TCGA, and PubMed repositories to identify datasets with published miRNA expression and clinical data. Kaplan-Meier survival analysis was performed to validate the prognostic value of a set of 41 previously published survival-associated miRNAs. RESULTS: All together 2178 samples from four independent datasets were integrated into the system including the expression of 1052 distinct human miRNAs. In addition, the web-tool allows for the selection of patients, which can be filtered by receptors status, lymph node involvement, histological grade, and treatments. The complete analysis tool can be accessed online at: www.kmplot.com/mirpower . We used this tool to analyze a large number of deregulated miRNAs associated with breast cancer features and outcome, and confirmed the prognostic value of 26 miRNAs. A significant correlation in three out of four datasets was validated only for miR-29c and miR-101. CONCLUSIONS: In summary, we established an integrated platform capable to mine all available miRNA data to perform a survival analysis for the identification and validation of prognostic miRNA markers in breast cancer

Roles and Self-Reconfigurable Robots

Abstract. A self-reconfigurable robot is a robotic device that can change its own shape. Self-reconfigurable robots are commonly built from multiple identical modules that can manipulate each other to change the shape of the robot. The robot can also perform tasks such as locomotion without changing shape. Programming a modular, self-reconfigurable robot is however a complicated task: the robot is essentially a real-time, distributed embedded system, where control and communication paths often are tightly coupled to the current physical configuration of the robot. To facilitate the task of programming modular, self-reconfigurable robots, we have developed a declarative, role-based language that allows the programmer to associate roles and behavior to structural elements in a modular robot. Based on the role declarations, a dedicated middleware for high-level distributed communication is generated, significantly simplifying the task of programming self-reconfigurable robots. Our language fully supports programming the ATRON self-reconfigurable robot, and has been used to implement several controllers running both on the physical modules and in simulation

Splice variants as novel targets in pancreatic ductal adenocarcinoma

The study was funded by the MolDiagPaCa European Union Framework Programme and CR-UK Programme grant A12008 from CR-UK (C. Chelala, T. Crnogorac-Jurcevic, and N.R. Lemoine). Italian Cancer Genome Project – Ministry of University [FIRB RBAP10AHJB]; Associazione Italiana Ricerca Cancro [grant number: 12182]; FP7 European Community Grant Cam-Pac [no: 602783]; Italian Ministry of Health [FIMPCUP_J33G13000210001]. The funders were not involved in the design of the study, collection, analysis, and interpretation of data and in writing of the manuscript. We thank Tracy Chaplin-Perkins for help with running the Affymetrix experiments

Relationships of PBMC microRNA expression, plasma viral load, and CD4+ T-cell count in HIV-1-infected elite suppressors and viremic patients

<p>Abstract</p> <p>Background</p> <p>HIV-1-infected elite controllers or suppressors (ES) maintain undetectable viral loads (< 50 copies/mL) without antiretroviral therapy. The mechanisms of suppression are incompletely understood. Modulation of HIV-1 replication by miRNAs has been reported, but the role of small RNAs in ES is unknown. Using samples from a well-characterized ES cohort, untreated viremic patients, and uninfected controls, we explored the PBMC miRNA profile and probed the relationships of miRNA expression, CD4+ T-cell counts, and viral load.</p> <p>Results</p> <p>miRNA profiles, obtained using multiple acquisition, data processing, and analysis methods, distinguished ES and uninfected controls from viremic HIV-1-infected patients. For several miRNAs, however, ES and viremic patients shared similar expression patterns. Differentially expressed miRNAs included those with reported roles in HIV-1 latency (miR-29 family members, miRs -125b and -150). Others, such as miR-31 and miR-31*, had no previously reported connection with HIV-1 infection but were found here to differ significantly with uncontrolled HIV-1 replication. Correlations of miRNA expression with CD4+ T-cell count and viral load were found, and we observed that ES with low CD4+ T-cell counts had miRNA profiles more closely related to viremic patients than controls. However, expression patterns indicate that miRNA variability cannot be explained solely by CD4+ T-cell variation.</p> <p>Conclusions</p> <p>The intimate involvement of miRNAs in disease processes is underscored by connections of miRNA expression with the HIV disease clinical parameters of CD4 count and plasma viral load. However, miRNA profile changes are not explained completely by these variables. Significant declines of miRs-125b and -150, among others, in both ES and viremic patients indicate the persistence of host miRNA responses or ongoing effects of infection despite viral suppression by ES. We found no negative correlations with viral load in viremic patients, not even those that have been reported to silence HIV-1 in vitro, suggesting that the effects of these miRNAs are exerted in a focused, cell-type-specific manner. Finally, the observation that some ES with low CD4 counts were consistently related to viremic patients suggests that miRNAs may serve as biomarkers for risk of disease progression even in the presence of viral suppression.</p