Author/Editor		Komel, Radovan; Rajčević, Uroš; Hudler, Petra; Goršič, Maša; Kastelic, Matej; Juvan, Robert; Repše, Stanislav; Markovič-Predan, Saša
Title		Transcriptomics and proteomics in cancer research
Translated title		Transkriptomika in proteomika v onkoloških raziskavah
Type		članek
Source		In: Luzar B, Poljak M, Glavač D, et al, editors. Molekularna diagnostika v medicini. Zbornik 15. spominsko srečanje akademika Janeza Milčinskega, 36. memorialni sestanek profesorja Janeza Plečnika, 1. srečanje Slovenskega društva za humano genetiko z mednarodno udeležbo; 2005 30 nov - 2 dec; Ljubljana. Ljubljana: Medicinska fakulteta,
Publication year		2005
Volume		str. 213-9
Language		eng
Abstract		Successful completion of human genome sequencing, the revolution in informatics. and progress in nanotechnology have given rise to a new integrative scientific discipline, functional genomics. The cell and its biochemical and patophysiological phenomena are now considered an unique system of simultaneous and interplaying events. One of the main goals is to find from the system of interactions crucial molecular players that are essential for coordination of cell life, in order to understand the complex biochemical mechanisms of cell physiology and its pathology. New understanding should allow the creation of new diagnostic approaches, development of new therapeutics with specific targeting and without harmful side effects, and appropriate testing of the effects of drugs and therapeutic approaches on the cell and organism. Traditional molecular studies of cancer have been focused on a relatively small number of genes or other biomarkers. In this context, genes have generally been analyzed one at a time by a variety of established mutation analysis methods. Despite extensive research efforts, attempts to deduce which genes/proteins are necessary in general and sufficient to cause the disease have been frustrating. Global functional genomics approaches on the levels of transcriptome, proteome and metabolome seem to bring new hope. Integrating genomics and transcriptomics with all the information from proteomlcs and metabolomics will probably bring us a holistic molecular view of pathological processes, which will allow us to develop better methods for early recognition of the disease, its prognosis and the best selection of therapy.
Descriptors		NEOPLASMS GENOME, HUMAN POLYMERASE CHAIN REACTION NEOPLASM PROTEINS ELECTROPHORESIS, GEL, TWO-DIMENSIONAL