The Andalusian Public Health System Virtual Library. Four years on

The Andalusian Public Health System Virtual Library (Biblioteca Virtual del Sistema Sanitario Público de Andalucía, BV-SSPA) set up in June 2006 was determined by the II Quality Plan 2005-2008. It consists of a regional government action with the aim of democratizing the health professional access to quality scientific information, regardless of the professional workplace. Andalusia is a region with more than 8 million inhabitants, with 92,000 health professionals for 41 hospitals, 1,500 primary healthcare centres, and 10 centres for non-medical attention purposes. • To obtain documentary resources for health professionals. • To help citizens to find health information. • To coordinate the Andalusian Health Documentary centres. • To establish strategic agreements with organizations. • To contribute to the Knowledge Management Development • The BV-SSPA acquires in a centralised way, all of the information resources for the whole system. • It offers services for all professionals: o Document Supply Service o Online Learning o User service • Remote access to these resources and services. • Communication and marketing plan to promote the knowledge and use of the BV-SSPA. Presently the BV-SSPA has reached: • The subscription of 2,431 electronic reviews, 8 data bases and other scientific information resources. • The establishment of the Document Supply Service, which focuses all the article orders from and for the Andalusian Public Health System. • The starting up for the online learning platform. • The introduction of the user service and virtual reference service in beta mode. • The use of appropriate tools, as the meta-researcher and the link resolver, which allow the presentation of resources and services in a tidy, easily findable way, through a Web 2.0 page where the user can take part with his contributions and where his offers and suggestion are gathered. • Access to the resources, for the Andalusian Health Professionals worldwide requiring only an internet connection. Andalusian Health Professionals have access to the greatest Health Science Electronic Resources Collection in Spain. The BV-SSPA has become the undisputed medium for the Health Research and Clinical Healthcare in our region, being consolidated as the Knowledge Manager into the Andalusian Public Health System. In 2010, it faces new projects such as the institutional repository creation, HypatiaSalud; the analysis of our research activity; and the drafting of a normalised licence model for the contracting of electronic resources.

Selection of Reference Genes for Quantitative Real Time PCR (qPCR) Assays in Tissue from Human Ascending Aorta.

Dilatation of the ascending aorta (AAD) is a prevalent aortopathy that occurs frequently associated with bicuspid aortic valve (BAV), the most common human congenital cardiac malformation. The molecular mechanisms leading to AAD associated with BAV are still poorly understood. The search for differentially expressed genes in diseased tissue by quantitative real-time PCR (qPCR) is an invaluable tool to fill this gap. However, studies dedicated to identify reference genes necessary for normalization of mRNA expression in aortic tissue are scarce. In this report, we evaluate the qPCR expression of six candidate reference genes in tissue from the ascending aorta of 52 patients with a variety of clinical and demographic characteristics, normal and dilated aortas, and different morphologies of the aortic valve (normal aorta and normal valve n = 30; dilated aorta and normal valve n = 10; normal aorta and BAV n = 4; dilated aorta and BAV n = 8). The expression stability of the candidate reference genes was determined with three statistical algorithms, GeNorm, NormFinder and Bestkeeper. The expression analyses showed that the most stable genes for the three algorithms employed were CDKN1β, POLR2A and CASC3, independently of the structure of the aorta and the valve morphology. In conclusion, we propose the use of these three genes as reference genes for mRNA expression analysis in human ascending aorta. However, we suggest searching for specific reference genes when conducting qPCR experiments with new cohort of samples.