ArticleGenome biology2003
Microarray analysis of orthologous genes: conservation of the translational machinery across species at the sequence and expression level.
Article in Genome biology, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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8 citing papers in PubMed, 27 citations in OpenAlex.
- High resolution RNA-seq profiling of genes encoding ribosomal proteins across different organs and developmental stages inPlant direct · 2021Article
- Genome adaptation to chemical stress: clues from comparative transcriptomics in Saccharomyces cerevisiae and Candida glabrata.Genome biology · 2008Article
- LymphTF-DB: a database of transcription factors involved in lymphocyte development.Genes and immunity · 2007Article
- DNA microarray data integration by ortholog gene analysis reveals potential molecular mechanisms of estrogen-dependent growth of human uterine fibroids.BMC women's health · 2007Article
- GO-2D: identifying 2-dimensional cellular-localized functional modules in Gene Ontology.BMC genomics · 2007Article
- Derivation of species-specific hybridization-like knowledge out of cross-species hybridization results.BMC genomics · 2006Article
- Cross-species hybridisation of human and bovine orthologous genes on high density cDNA microarrays.BMC genomics · 2004Article
- Peeling off the hidden genetic heterogeneities of cancers based on disease-relevant functional modules.Molecular medicine (Cambridge, Mass.)Article
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundGenome projects have provided a vast amount of sequence information. Sequence comparison between species helps to establish functional catalogues within organisms and to study how they are maintained and modified across phylogenetic groups during evolution. Microarray studies allow us to determine groups of genes with similar temporal regulation and perhaps also common regulatory upstream regions for binding of transcription factors. The integration of sequence and expression data is expected to refine our current annotations and provide some insight into the evolution of gene regulation across organisms.
resultsWe have investigated how well the protein subcellular localization and functional categories established from clustering of orthologous genes agree with gene-expression data in Saccharomyces cerevisiae. An increase in the resolution of biologically meaningful classes is observed upon the combination of experiments under different conditions. The functional categories deduced by sequence comparison approaches are, in general, preserved at the level of expression and can sometimes interact into larger co-regulated networks, such as the protein translation process. Differences and similarities in the expression between cytoplasmic-mitochondrial and interspecies translation machineries complement evolutionary information from sequence similarity.
conclusionsCombination of several microarray experiments is a powerful tool for the identification of upstream regulatory motifs of yeast genes involved in protein synthesis. Comparison of these yeast co-regulated genes against the archaeal and bacterial operons indicates that the components of the protein translation process are conserved across organisms at the expression level with minor specific adaptations.
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