A combined approach exploring gene function based on Worm-Human Orthology
Autor: | Emily Hodges, Ana Vaz Gomes, Patrick Dessi, Ivica Tamas, Robert C. Johnsen |
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Jazyk: | angličtina |
Rok vydání: | 2005 |
Předmět: |
lcsh:QH426-470
lcsh:Biotechnology Green Fluorescent Proteins Down-Regulation Genomics Cell Line Species Specificity RNA interference Cell Line Tumor lcsh:TP248.13-248.65 Genetic model Genetics Animals Humans Caenorhabditis elegans Gene Phylogeny Models Statistical biology Gene Expression Profiling biology.organism_classification Gene expression profiling lcsh:Genetics Phenotype Gene Expression Regulation Microscopy Fluorescence RNA Interference Human genome DNA microarray Research Article Biotechnology |
Zdroj: | BMC Genomics, Vol 6, Iss 1, p 65 (2005) BMC Genomics |
ISSN: | 1471-2164 |
Popis: | Background Many aspects of the nematode Caenorhabditis elegans biology are conserved between invertebrates and vertebrates establishing this particular organism as an excellent genetic model. Because of its small size, large populations and self-fertilization of the hermaphrodite, functional predictions carried out by genetic modifications as well as RNAi screens, can be rapidly tested. Results In order to explore the function of a set of C. elegans genes of unknown function, as well as their potential functional roles in the human genome, we performed a phylogenetic analysis to select the most probable worm orthologs. A total of 13 C. elegans genes were subjected to down- regulation via RNAi and characterization of expression profiles using GFP strains. Previously unknown distinct expression patterns were observed for four of the analyzed genes, as well as four visible RNAi phenotypes. In addition, subcellular protein over-expression profiles of the human orthologs for seven out of the thirteen genes using human cells were also analyzed. Conclusion By combining a whole-organism approach using C. elegans with complementary experimental work done on human cell lines, this analysis extends currently available information on the selected set of genes. |
Databáze: | OpenAIRE |
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