Trends in Molecular Medicine
ReviewTaking a functional genomics approach in molecular medicine
Section snippets
Genome analysis and sequence comparisons
With >50 microbial genomes sequenced, the microbiology community has pioneered comparative genomics as a lead to deduce molecular mechanisms underlying physiological characteristics of different bacterial strains, and to identify essential genes involved in infection. Sequencing of leading pathogens, including that of Streptococcus pneumoniae 3, enables the study of the biology of pathogens and host–pathogen relationships, knowledge that might contribute to future disease control. The
Systematic generation of phenotypes in invertebrate and vertebrate models
In many respects the most interesting aspect of the function of a gene is its function in the organism as a whole, requiring either the mutations of specific genes, followed by the analysis of the phenotype of the organisms carrying this mutation (gene-driven paradigm), or the identification of organisms with an interesting phenotype followed by the mapping of mutated genes (phenotype-driven paradigm). It was previously estimated that about one third of genes in yeast, worm, fly and mice is
Gene expression patterns by in situ hybridization
Systematic functional screens by in situ hybridization (ISH) reveal temporal and spatial gene expression patterns, which can contribute to the discovery of novel gene functions and synexpression groups leading to pathway identification. In gene-driven approaches, study of embryonic patterning using collections of random cDNA provides a direct link between DNA sequences and endogenous gene expression patterns. High-throughput whole-mount ISH developed for X.laevis and mouse embryos showed that
Proteome maps and phenotype analysis
Protein processing and modification can not be predicted from genomic information. In a given cell at a certain time point, up to 10 000–20 000 transcripts and 50 000–80 000 proteins could be expressed simultaneously, given estimates of about four isoforms per gene. Transcription levels do not necessarily correlate with those of proteins, particularly for rarely expressed genes 53. In theory, array experiments should be mirrored with proteomics data for a full understanding of physiological
Proteomics and structural genomics
Structural information can provide a lead for protein function and drug action at the molecular level 60. The Protein Data Bank 61 currently lists 14 150 protein structures, among which close to 3000 match the keyword ‘human’. World-wide efforts developing high-throughput structural genomics operations are setting up remarkably quickly (http://www.rcsb.org/pdb/strucgen.html). Structural genomics initiatives aim at resolving experimentally 10 000 protein structures within the next ten years,
Protein–protein interaction maps
The exploration of biological pathways and cellular functions builds upon knowledge of protein–protein interactions. Vertebrates made wide use of protein domain shuffling, increasing combinatorial diversity and the capacity to mediate protein–protein interactions, by adapting ancestral function or creating novel ones. The current gold standard for systematic search of protein-interaction partners is the yeast two-hybrid system 64, whereby unknown partners (preys) can be screened against a bait
Lessons from model organisms and remaining challenges
Non-mammalian models will remain essential for tackling gene function in a systematic fashion, providing different contexts to assign function to many predicted genes that might have specialized or pleiotropic roles. Despite their value, mouse models are somewhat limiting owing to the relative paucity of mouse knockouts that give tractable phenotypes. It will be technically difficult and costly to generate most genes in the mouse genome and to study phenotypic outcomes even with standardized
Concluding remarks
This review explores highlights of ongoing efforts in functional genomics and illustrates how these approaches can be applied in biomedical research. Collectively, functional genomics approaches provide a matrix of information, allowing the ‘tagging’ of gene products with functional attributes and to reveal physiological pathways. Large data sets need to be archived, annotated, analyzed and made publicly available in a standardized and usable form to be best exploited. Integration with SNP
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