What's that gene (or protein)? Online resources for exploring functions of genes, transcripts, and proteins.
The genomic era has enabled research projects that use approaches including genome-scale screens, microarray analysis, next-generation sequencing, and mass spectrometry-based proteomics to discover genes and proteins involved in biological processes. Such methods generate data sets of gene, transcript, or protein hits that researchers wish to explore to understand their properties and functions and thus their possible roles in biological systems of interest. Recent years have seen a profusion of Internet-based resources to aid this process. This review takes the viewpoint of the curious biologist wishing to explore the properties of protein-coding genes and their products, identified using genome-based technologies. Ten key questions are asked about each hit, addressing functions, phenotypes, expression, evolutionary conservation, disease association, protein structure, interactors, posttranslational modifications, and inhibitors. Answers are provided by presenting the latest publicly available resources, together with methods for hit-specific and data set-wide information retrieval, suited to any genome-based analytical technique and experimental species. The utility of these resources is demonstrated for 20 factors regulating cell proliferation. Results obtained using some of these are discussed in more depth using the p53 tumor suppressor as an example. This flexible and universally applicable approach for characterizing experimental hits helps researchers to maximize the potential of their projects for biological discovery.
Institute of Human Genetics, Centre National de la Recherche Scientifique (CNRS), 34396 Montpellier, France.
James R A
JR
Hutchins
D001483:Base Sequence; D019295:Computational Biology / Q000379:methods*; D030561:Databases, Nucleic Acid; D030562:Databases, Protein; D020022:Genetic Predisposition to Disease; D014644:Genetic Variation; D059014:High-Throughput Nucleotide Sequencing / Q000379:methods; D020407:Internet; D017422:Sequence Analysis, DNA / Q000379:methods; D016159:Tumor Suppressor Protein p53 / Q000235:genetics*
D016159:Tumor Suppressor Protein p53