Downloads provided by UsageCounts
doi: 10.1038/35093537
pmid: 11584291
One of the most powerful tools that the molecular biology revolution has given us is the ability to turn genes on and off at our discretion. In the mouse, this has been accomplished by using binary systems in which gene expression is dependent on the interaction of two components, resulting in either transcriptional transactivation or DNA recombination. During recent years, these systems have been used to analyse complex and multi-staged biological processes, such as embryogenesis and cancer, with unprecedented precision. Here, I review these systems and discuss certain studies that exemplify the advantages and limitations of each system.
Mice, Knockout, Recombination, Genetic, Saccharomyces cerevisiae Proteins, Integrases, Gene Expression Regulation, Developmental, Mice, Transgenic, Saccharomyces cerevisiae, DNA-Binding Proteins, Fungal Proteins, Repressor Proteins, Embryonic and Fetal Development, Mice, Gene Expression Regulation, Genetic Techniques, Organ Specificity, DNA Nucleotidyltransferases, Animals, Cell Lineage, Promoter Regions, Genetic, Forecasting
Mice, Knockout, Recombination, Genetic, Saccharomyces cerevisiae Proteins, Integrases, Gene Expression Regulation, Developmental, Mice, Transgenic, Saccharomyces cerevisiae, DNA-Binding Proteins, Fungal Proteins, Repressor Proteins, Embryonic and Fetal Development, Mice, Gene Expression Regulation, Genetic Techniques, Organ Specificity, DNA Nucleotidyltransferases, Animals, Cell Lineage, Promoter Regions, Genetic, Forecasting
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 673 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 1% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 1% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 0.1% |
| views | 32 | |
| downloads | 29 |

Views provided by UsageCounts
Downloads provided by UsageCounts