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Towards preventive medicine
Author(s) -
Bosnjak Hrvojka,
Pavelic Kresimir,
Pavelic Sandra Kraljevic
Publication year - 2008
Publication title -
embo reports
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 4.584
H-Index - 184
eISSN - 1469-3178
pISSN - 1469-221X
DOI - 10.1038/embor.2008.198
Subject(s) - library science , croatian , political science , computer science , philosophy , linguistics
The sequencing of the human genome was an enormous achievement in more than one sense as both the annotated sequence and the bioinformatics tools developed have become enormously important to biomedical research. In addition, the technological advances made during the project have further promoted the new ‘‐omics’ approach in molecular biology research; it is a global, systematic and comprehensive way of identifying and describing the molecular processes and pathways involved in physiological functions and pathological states.Since the start of the Human Genome Project in 1990, its proponents have pointed out that the knowledge gained could lead to new cures or preventive measures for a wide range of diseases, as well as enormous benefits to general health. A recent white paper by the European Medical Research Council (Strasbourg, France) explicitly encourages the use of new ‐omics technologies, as well as systems biology, nanomedicine, regenerative medicine, and tissue and stem‐cell banking, in order to improve clinical and medical practice (Billig et al , 2007).Currently, the use of functional genomics includes methods to measure gene activity at the transcript level—differential display, expressed sequence tags, serial analysis of gene expression and microarrays—whereas new methods in proteomics help to analyse the protein content and composition of cells and tissues. These rely on instruments capable of the high throughput analysis of biological samples, which themselves generate a large amount of experimental data. This information must, in turn, be processed by powerful information systems and new computational methods to draw meaning from the primary data and generate new knowledge about molecular processes in cells and tissues.These increasingly sensitive, efficient and precise high‐throughput methods and the bioinformatics tools to handle the data, have paved a path on which biologists and clinicians can meet to achieve the ultimate goal: the successful use of these discoveries for …