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Author Zvara, Ágnes ♦ Hackler, László ♦ Nagy, B. Zsolt ♦ Micsik, Tamás ♦ Puskás, László G.
Source CiteSeerX
Content type Text
File Format PDF
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Hematological Malignancy ♦ New Molecular Method ♦ Therapy Prediction ♦ Human Cancer ♦ High Throughput Molecular Method ♦ Different System Level ♦ Abnormal Behavior ♦ Cdna Microarrays ♦ Human Genome ♦ Gene Expression ♦ Interaction Analysis ♦ Total Sequence ♦ Histological Characteristic ♦ Different Malignant Transformation ♦ Mutation Analysis ♦ Array-based Protein Expression ♦ Tumor Cell ♦ Comparative Genomic Hybridization ♦ Genetic Defect ♦ Whole Genome
Abstract Classification of human cancers traditionally based on tissue of origin or histological characteristics. However, genetic defects that basically determine the abnormal behavior of tumor cells, can be analyzed more effective-ly using the knowledge of almost the total sequence of the human genome. New, high throughput molecular methods have been developed (mutation analysis of the whole genome, comparative genomic hybridization, gene expression monitoring with cDNA microarrays, array-based protein expression and interaction analysis) to obtain more information about different malignant transformations at different system levels (genome, tran-scriptome, proteome) (Table 1). Results obtained with these methods can help to answer the questions arising
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study