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Research on model organisms is crucial for discovering the function of genes and DNA elements and for understanding the phenotypic effects of mutations on these genes, which is leading to a better understanding of the pathobiology of human disease.
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Aptamer-assisted biomarker identification is a strategy that offers opportunities for discovering the functions of many unknown surface proteins that are present in TECs.
The potential value of these data rests both in delineating new hypotheses for metallothionein evolution and in suggesting new model systems for discovering the normal function of metallothionein and related proteins in cells.
The rice genome sequence of Nipponbare has been pivotal in the development of a system for discovering the biological functions of approximately 32,000 genes identified in rice.
Drosophila genetics has long been appreciated as a powerful approach for discovering the normal functions of genes that act as oncogenes and tumor suppressors in human cancer.
All of our results demonstrated that the meta-expression data for these genes are a valuable source of novel promoters for controlling traits associated with late pollen development or germination and for discovering the novel functions of such genes.
Discovering the function of these genes is an important goal for future advances in biological understanding.
For that reason, PlantPAN also provides an additional special "Cross-Species" analyzing function for discovering the transcription factor binding sites in conserved regions between promoters of homologous genes or two input sequences.
Analysis of an allelic series of point mutations in a gene, generated by N-ethyl N-nitrosourea (ENU) mutagenesis, is a valuable method for discovering the full scope of its biological function.
A strategy, for discovering the proximate causes of complex cognitive functions, which, in turn, may inform novel evolutionary explanations, is to associate variability at the level of the behavioral phenotype and (structural or functional) variability at the level of the likely proximate causes (such as at the levels of genetics and/or the brain).
Dr. Mori shares the prize with Peter Walter for discovering the "quality control" mechanisms that support healthy function of the cell.
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